It looks like you might have accessed this page from an outdated address. Please update bookmarks and links to:

Research Publications

Below are the statistics for the number of peer-reviewed journal articles, Master's theses, and Doctoral dissertations.

Year

Journal Articles

M.S. Theses

Ph.D. Dissertations

1992

0

1

0

1993

1

0

0

1994

3

2

0

1995

8

2

3

1996

7

4

2

1997

13

2

3

1998

13

8

7

1999

11

3

6

2000

18

5

9

2001

31

4

8

2002

35

6

4

2003

44

6

10

2004

40

8

7

2005

27

11

9

2006

50

11

8

2007

32

16

10

2008

35

11

8

2009

38

11

15

2010

51

11

11

2011

50

13

17

2012

56

11

14

2013

69

16

13

2014

82

14

15

2015

77

10

11

2016

61

13

18

2017

88

14

16

2018

68

20

8

2019

80

21

14

2020

65

13

14

2021

56

11

7

2022

34

4

2

2023

13

3

3

Total

1256

285

272

Abongwa, P. T. and E. A. Atekwana, 2015: Controls on the chemical and isotopic composition of carbonate springs during evolution to saturation with respect to calciteChemical Geology404, 136-149. (DOI: 10.1016/j.chemgeo.2015.03.024).

Abreu, S. L. C. B. Godsey, J. T. Edwards, and J. G. Warren, 2011: Assessing carbon and nitrogen stocks of no-till systems in OklahomaSoil Tillage Research117, 28-33. (DOI: 10.1016/j.still.2011.08.004).

Acero Triana, J.S., M. L. Chu, J.A. Guzman, D.N. Moriasi, J.L. Steiner,, 2019: Beyond model metrics: The perils of calibrating hydrologic modelsJournal of Hydrology578, . (DOI: 10.1016/j.jhydrol.2019.124032).

Ackerman, C. J., H. T. Purvis, G. W. Horn, S. I. Paisley, R. R. Reuter, and T. N. Bodine, 2001: Performance of light vs heavy steers grazing Plains Old World bluestem at three stocking ratesJ. Animal Science79, 493-499. (DOI: 10.2527/2001.792493x).

Adams, C., S. Thapa, and P. DeLaune, : Growth and development of irrigated cotton in conservation management systems of the Texas Rolling PlainsAgronomy Journal112 (3), 1805-1814. (DOI: 10.1002/agj2.20172).

Adams-Selin, R. D., and R. H. Johnson, 2010: Mesoscale Surface Pressure and Temperature Features Associated with Bow EchoesMonthly Weather Review138, 212-227. (DOI: 10.1175/2009MWR2892.1).

Adams-Selin, R.D., and R.H. Johnson, 2013: Examination of Gravity Waves Associated with the 13 March 2003 Bow EchoMonthly Weather Review141(11), 3735-3756.

Adams-Selin, R.D., S.C. van den Heever, and R.H. Johnson, 2013: Sensitivity of Bow-Echo Simulation to Microphysical ParameterizationsWeather and Forecasting28.5, 1188-1209.

Adhikari, A., R.E. Masters, K.P. Mainali, C.B. Zou, O. Joshi, and R.E. Will, 2021: . Management and climate variability effects on understory productivity of forest and savanna ecosystems in Oklahoma, USAEcosphere12(6), e03576. (DOI: 10.1002/ecs2.3576).

Adhikari, L., M. P. Anderson, A. Klatt, and Y. Wu, 2014: Testing the Efficacy of a Polyester Bagging Method for Selfing SwitchgrassBioenerg. Res.8(1), 380-387. (DOI: 10.1007/s12155-014-9528-3).

Adhikari, P., N. Omani, S. Ale, P. B. DeLaune, K. R. Thorp, E. M. Barnes, and G. Hoogenboom, 2017: Simulated effects of winter wheat cover crop on cotton production systems of the Texas Rolling PlainsTransactions of the ASABE, , 1-28. (DOI: 10.13031/trans.12272).

Adler, R. F., G. J. Huffman, A. Chang, R. Ferraro, P. Xie, J. Janowiak, B. Rudolf, U. Schneider, and Coauthors, 2003: The Version-2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979-Present)J. Hydrometeorol.4, 1147-1167. (DOI: 10.1175/1525-7541(2003)004<1147:TVGPCP>2.0.CO;2).

Aggarwal, S. K., and L. M. Saini, 2014: Solar energy prediction using linear and non-linear regularization models: A study on AMS (American Meteorological Society) 2013–14 Solar Energy Prediction ContestEnergy78, 247-256. (DOI: 10.1016/j.energy.2014.10.012).

Ahedor, A.R., B. Spitz, M. Cowan, J. Miller, and M. Kamara, 2019: Comparative Transpiration Studies on the Invasive Eastern Redcedar (Juniperus virginiana L.) and Adjacent Woody TreesOklahoma Native Plant Record18(1), 24-37. (DOI: 10.22488/okstate.19.100003).

Ahlberg, C.M., K. Allwardt, A. Broocks, K., Bruno, L. McPhillips, A. Taylor, C.R. Krehbiel, and Coauthors, 2018: Environmental Effects on Water Intake and Water Intake Prediction in Growing Beef CattleJ. of Animal Science96(10), 4368-4384. (DOI: 10.1093/jas/sky267).

Ajaz, A., S.Taghvaeian, K. Khand, P.H. Gowda, and J.E. Moorhead, 2019: Development and Evaluation of an Agricultural Drought Index by Harnessing Soil Moisture and Weather DataWater11, 1375. (DOI: 10.3390/w11071375).

Akumaga, U. and P.D. Alderman, 2019: Comparison of Penman–Monteith and Priestley-Taylor Evapotranspiration Methods for Crop Modeling in OklahomaAgronomy Journal111(3), 1171-1180. (DOI: 10.2134/agronj2018.10.0694).

Albanese, G., and C.A. Davis, 2013: Broad-scale relationships between shorebirds and landscapes in the southern Great PlainsThe Auk130(1), 88-97.

Albanese, G., C.A. Davis, and B.W. Compton, 2012: Spatiotemporal scaling of North American continental interior wetlands: implications for shorebird conservationLandscape Ecol.27, 1465-1479. (DOI: 10.1007/s10980-012-9803-7).

Alderman, P., 2021: Parallel gridded simulation framework for DSSAT-CSM (version 4.7.5.21) using MPI and NetCDFGeosci. Model Dev. Discuss., , . (DOI: 10.5194/gmd-2021-183).

Alemohammad, S. H., D. Entekhabi, and D. B. McLaughlin, 2014: Evaluation of Long-Term SSM/I-Based Precipitation Records over LandJ. of Hydromet.15, 2012-2029. (DOI: 10.1175/JHM-D-13-0171.1).

Alemohammad, S. H., K. A. McColl, A. G. Konings, D. Entekhabi, and A. Stoffelen, A., 2015: Characterization of precipitation product errors across the US using multiplicative Triple CollocationHydrol. Earth Syst. Sci.19, 3489-3503. (DOI: 10.5194/hess-19-3489-2015).

Ali, M. S., A. Sutradhar, M. L. Edano, J. T. Edwards, and K. Girma, 2014: Response of Winter Wheat Grain Yield and Phosphorus Uptake to Foliar Phosphite FertilizationInternational Journal of Agronomy2014, Article ID 80162, 8 pg. (DOI: 10.1155/2014/801626).

Allen, D.C., H.S. Galbraith, C.C. Vaughn, and D.E. Spooner, 2013: A Tale of Two Rivers: Implications of Water Management Practices for Mussel Biodiversity Outcomes During DroughtsAMBIO42, 881-891. (DOI: 10.1007/s13280-013-0420-8).

Allred, B. W., S. D. Fuhlendorf, T. A. Monaco, and R. E. Will, 2010: Morphological and physiological traits in the success of the invasive plant Lespedeza cuneataBiological Invasions12 (4), 739-749. (DOI: 10.1007/s10530-009-9476-6).

Allred, B.W., S.D. Fuhlendorf, and R.G. Hamilton, 2011: The role of herbivores in Great Plains conservation: comparative ecology of bison and cattleEcosphere2(3), 1-17. (DOI: 10.1890/ES10-00152.1).

Allred, B.W., S.D. Fuhlendorf, T.J. Hovick, R.D. Elmore, D.M. Engle, and A. Joern, 2013: Conservation implications of native and introduced ungulates in a changing climateGlobal Change Biology19, 1875-1883. (DOI: 10.1111/gcb.12183).

Amgain, N. R., D. K. Harris, S. B. Thapa, D. L. Martin, Y. Wu, and J. Q. Moss, 2018: Evapotranspiration Rates of Turf Bermudagrasses under Nonlimiting Soil Moisture Conditions in OklahomaCrop Sci.57, 1-7. (DOI: 10.2135/cropsci2017.08.0493).

Anagnostou, E. N., V. Maggioni, E. I. Nikolopoulos, T. Meskele, F. Hossain, and A. Papadopoulos, 2010: Benchmarking High-Resolution Global Satellite Rainfall Products to Radar and Rain-Gauge Rainfall EstimatesGeoscience and Remote Sensing, IEEE Transactions on48, 1667-1683. (DOI: 10.1109/TGRS.2009.2034736).

Anderson, M. C., J. M. Norman, J. R. Mecikalski, R. D. Torn, W. P. Kustas, and J. B. Basara, 2004: A Multiscale Remote Sensing Model for Disaggregating Regional Fluxes to Micrometeorological ScalesJ. Hydrometeor.5, 343-363. (DOI: 10.1175/1525-7541(2004)005<0343:AMRSMF>2.0.CO;2).

Anderson, M.C., R.G. Allen, A. Morse, and W.P. Kustas, 2012: Use of Landsat thermal imagery in monitoring evapotranspiration and managing water resourcesRemote Sensing of Environment122, 50-65. (DOI: 10.1016/j.rse.2011.08.025).

Andersson, K., C. A. Davis, B. F. Blackwell, and J. R. Heinen, 2017: Wetland bird abundance and safety implications for military aircraft operationsWildl. Soc. Bull.41, 424-433. (DOI: 10.1002/wsb.804).

Andrea McMahon, A., C.M.B Franca, and M.C. Wimberly, 2022: Comparing Satellite and Ground-Based Measurements of Environmental Suitability for Vector Mosquitoes in an Urban LandscapeJournal of Medical Entomologytjac145, . (DOI: 10.1093/jme/tjac145).

Arndt, D.S., J.B. Basara, R.A. McPherson, B.G. Illston, G.D. McManus, and D.B. Demko, 2009: Observations of the Overland Reintensification of Tropical Storm Erin (2007)Bull. Amer. Meteor. Soc90, 1079-1093. (DOI: 10.1175/2009BAMS2644.1).

Arnone III, J.A., R.L. Jasoni, A.J. Lucchesi, J.D. Larsen, E.A. Leger, R.A. Sherry, Y. Luo, D.S. Schimel, and P.S.J. Verburg, 2011: A climatically extreme year has large impacts on C4 species in tallgrass prairie ecosystems but only minor effects on species richness and other plant functional groupsJ. of Ecology99(3), 678-688. (DOI: 10.1111/j.1365-2745.2011.01813.x).

Arnott, N.R., Y.P. Richardson, J.M. Wurman, and E.M. Rasmussen, 2006: Relationship between a Weakening Cold Front, Misocyclones, and Cloud Development on 10 June 2002 during IHOPMon. Wea. Rev.134, 311-335. (DOI: 10.1175/MWR3065.1).

Atekwana, E. A., and C. J. Geyer, 2018: Spatial and temporal variations in the geochemistry of shallow groundwater contaminated with nitrate at a residential siteEnvironmental Science and Pollution Research, , 1-18. (DOI: 10.1007/s11356-018-2714-7).

Atkins, N. T., R. M. Wakimoto, and C. L. Ziegler, 1998: Observations of the finescale structure of a dryline during VORTEX 95Mon. Wea. Rev.126, 525-550. (DOI: 10.1175/1520-0493(1998)126<0525:OOTFSO>2.0.CO;2).

Atkinson, C. L. and J. T. Cooper, 2016: Benthic algal community composition across a watershed: coupling processes between land and waterAquatic Ecology50(2), 315-326. (DOI: 10.1007/s10452-016-9580-5).

Aula, L., P. Omara, E. Nambi, F.B. Oyebiyi, J. Dhillon, E. Eickhoff, J. Carpenter, and W.R. Raun, 2021: Active Optical Sensor Measurements and Weather Variables for Predicting Winter Wheat YieldAgron. J., , . (DOI: 10.1002/agj2.20620).

Baath, G.S., Northup, B.K., Gowda, P.H., Rocateli, A.C. and H. Singh, 2020: Summer Forage Capabilities of Tepary Bean and Guar in the Southern Great PlainsAgron. J., , . (DOI: 10.1002/agj2.20220).

Baek, M-K and D. Lee, 2018: Spatial and Temporal Day-Ahead Total Daily Solar Irradiation Forecasting: Ensemble Forecasting Based on the Empirical BiasingEnergies 11(1), 70. (DOI: 10.3390/en11010070).

Bajgain, R., X. Xiao, J. Basara, P. Wagle, Y. Zhou, H. Mahan, P. Gowda, H. R. McCarthy, B. Northup, J. Neel, and J. Steiner, 2018: Carbon dioxide and water vapor fluxes in winter wheat and tallgrass prairie in central OklahomaScience of the Total Environment644, 1511-1524. (DOI: 10.1016/j.scitotenv.2018.07.010).

Bajgain, R., X. Xiao, J. Basara, P. Wagle, Y. Zhou, Y. Zhang, and H. Mahan, 2017: Assessing agricultural drought in summer over Oklahoma Mesonet sites using the water-related vegetation index from MODISInternational Journal of Biometeorology61, 377-390. (DOI: 10.1007/s00484-016-1218-8).

Bajgain, R., X. Xiao, J. Basara, R. Doughty, X. Wu, P. Wagle, Y. Zhou, P. Gowda, and J. Steiner, 2020: Differential responses of native and managed prairie pastures to environmental variability and management practicesAgricultural and Forest Meteorology294, . (DOI: 10.1016/j.agrformet.2020.108137).

Bajgain, R., X. Xiao, P. Wagle, J. Basara, and Y. Zhou, 2015: Sensitivity analysis of vegetation indices to drought over two tallgrass prairie sitesJournal of Photogrammetry and Remote Sensing108, 151-160. (DOI: 10.1016/j.isprsjprs.2015.07.004).

Baker, R. D., 2006: Project-based learning, surface energy balance, and establishment of a new undergraduate weather stationJ. Geoscience Education54, 320-328. (DOI: 10.5408/1089-9995-54.3.320).

Balakrishnan, M., C. J. Yapp, J. L. Theler, B. J. Carter, and D. G. Wyckoff, 2004: Environmental significance of 13C/12C and 18O/16O ratios of modern land-snail shells from the southern great plains of North AmericaQuaternary Research63, 15-30. (DOI: 10.1016/j.yqres.2004.09.009).

Barbour, A. J., L. Xue, E. Roeloffs, and J. L. Rubinstein, 2019: Leakage and increasing fluid‐pressure detected in Oklahoma's wastewater disposal reservoirJournal of Geophysical Research: Solid Earth, , . (DOI: 10.1029/2019JB017327).

Barnett, T. P., J. Ritchie, J. Foat, and G. Stokes,, 1998: On the space-time scales of the surface solar radiation fieldJ. Climate11, 88-96. (DOI: 10.1175/1520-0442(1998)011<0088:OTSTSO>2.0.CO;2).

Barros, A. P., W. Hwu, 2002: A study of land-atmosphere interactions during summertime rainfall using a mesoscale modelJ. Geophys. Res.107, ACL 17. (DOI 10.1029/2000JD000254).

Bartholomew, P. W., 2015: Timing of nitrogen fertilizer application for annual ryegrass overseeded into unimproved perennial warm-season pastureCrop, Forage & Turfgrass Management1(1), 1-6. (DOI: 10.2134/cftm2013.0018).

Bartholomew, P.W., J.M. Schneider, and R.D. Williams, 2011: Pasture residue amount and sowing method effects on establishment of overseeded cool-season grasses and on total annual production of herbageGrass and Forage Science66(4), 560-568. (DOI: 10.1111/j.1365-2494.2011.00813.x).

Bartlett, T. L., D. W. Mock, and P. L. Schwagmeyer, 2005: Division of labor: incubation and biparental care in house sparrows (passer domesticus)The Auk122, 835-842. (DOI: 10.1093/auk/122.3.835).

Basara, J. B. and J. I. Christian, 2018: Seasonal and interannual variability of land–atmosphere coupling across the Southern Great Plains of North America using the North American regional reanalysisInt. J. Climatol.38, 964-978. (DOI: 10.1002/joc.5223).

Basara, J. B., and K. C. Crawford, 2002: Linear relationships between root-zone soil moisture and atmospheric processes in the planetary boundary layerJ. Geophys. Res.107, (ACL 10) 1-18. (DOI: 10.1029/2001JD000633).

Basara, J. B., and T. M. Crawford, 2000: Improved installation procedures for deep layer soil moisture measurementsJ. Atmos. Oceanic Tech.17, 879-884. (DOI: 10.1175/1520-0426(2000)017<0879:IIPFDL>2.0.CO;2).

Basara, J. B., B. G. Illston, C. A. Fiebrich, P. Browder, C. Morgan, J. P. Bostic, A. McCombs, R. A. McPherson, et. al., 2011: The Oklahoma City MicronetMeteorological Applications18, 252-261. (DOI: 10.1002/met.189).

Basara, J. B., B. G. Illston, T. E. Winning, and C. A Fiebrich, 2009: Evaluation of Rainfall Measurements from the WXT510 Sensor for use in the Oklahoma City MicronetThe Open Atmospheric Science Journal3, 39-45. (DOI: 10.2174/1874282300903010039).

Basara, J. B., H. G. Basara, B. G. Illston, and K. C. Crawford, 2010: The Impact of the Urban Heat Island During an Intense Heat Wave in Oklahoma CityAdvances in Meteorology2010, Article ID 230365, 10pgs. (DOI: 10.1155/2010/230365).

Basara, J. B., P. K. Hall, A. Schroeder, B. G. Illston, and K. L. Nemunaitis, 2008: The diurnal cycle of the urban heat island in Oklahoma CityJ. Geophys. Res.113, D20109. (DOI: 10.1029/2008JD010311).

Basara, J.B., and M.D. Rowell, 2011: Mesoscale observations of an extended heat burst and associated wind storm in Central OklahomaMetr. Appl.19(1), 91-110. (DOI: 10.1002/met.280).

Bayat, H., B. Mazaheri, and B. P. Mohanty, 2019: Estimating soil water characteristic curve using landscape features and soil thermal propertiesSoil and Tillage Research189, 1-14. (DOI: 10.1016/j.still.2018.12.018).

Beck, M.R., L.R. Thompson, J.E. White, G.D. Williams, S.E. Place, C.A. Moffet, S.A. Gunter, and R.R. Reuter, 2018: Whole cottonseed supplementation improves performance and reduces methane emission intensity of grazing beef steersThe Professional Scientist34 (4), 339-345. (DOI: 10.15232/pas.2018-01722).

Bell, J. E., M. A. Palecki, C. B. Baker, W. G. Collins, J. H. Lawrimore, R. D. Leeper, M.E. Hall, J. Kochendorfer, and Coauthors, 2013: U.S. Climate Reference Network Soil Moisture and Temperature ObservationsJ. Hydrometeor.14, 977-988. (DOI: 10.1175/JHM-D-12-0146.1).

Bell, T. L., and P. K. Kundu, 2003: Comparing satellite rainfall estimates with rain gauge data: Optimal strategies suggested by a spectral modelJ. Geophys. Res.108, D3. (DOI: 10.1029/2002JD002641).

Belt, K., and S. T. Paxton, 2005: GIS as an aid to visualizing and mapping geology and rock properties in regions of subtle topographyGSA Bulletin117, 149-160. (DOI: 10.1130/B25463.1).

Bendixsen, D. P., S. W. Hallgren, and A. E. Frazier, 2015: Stress factors associated with forest decline in xeric oak forests of south-central United StatesForest Ecology and Management347, 40-48. (DOI: 10.1016/j.foreco.2015.03.015).

Bennett R.S. and K.D. Chamberlin, 2020: Resistance to Athelia rolfsii and Web Blotch in the U.S. Mini-core CollectionPeanut Science47(1), 17-24. (DOI: 10.3146/PS19-18.1).

Bennett, R.S., K.D. Chamberlin, and J.P. Damicone, 2018: Sclerotinia Blight Resistance in the US Peanut Mini‐Core CollectionCrop Science58(3), 1306-1317. (DOI: 10.2135/cropsci2017.09.0591).

Berg, L. K. and P. J. Lamb, 2016: Surface Properties and Interactions: Coupling the Land and Atmosphere within the ARM ProgramMeteorological Monographs57, 23.1-23.17. (DOI: 10.1175/AMSMONOGRAPHS-D-15-0044.1).

Bergey, E. A., W. J. Matthews, J. E. Fry, 2008: Springs in time: fish fauna and habitat changes in springs over a 20-year intervalAquatic Conservation: Marine and Freshwater Ecosystems18, 829-838.

Bergey, E.A. and B.E. Whipkey, 2020: Climate gradients, and patterns of biodiversity and biotic homogenization in urban residential yardsPloS one15 (8), p.e0234830. (DOI: 10.1371/journal.pone.0234830).

Bhattarai, N., L. J. Quackenbush, J. Im, and S. B. Shaw, 2017: A new optimized algorithm for automating endmember pixel selection in the SEBAL and METRIC modelsRemote Sensing of Environment196, 178-192. (DOI: 10.1016/j.rse.2017.05.009).

Bidlack, J. E., A. Middick, D. Shantz, C. T. MacKown, R. D. Williams, and S. C. Rao, 2006: Weed control in a pigeon pea-wheat cropping systemField Crops Research96, 63-70. (DOI: 10.1016/j.fcr.2005.05.005).

Bielski, C.H., D. Twidwell, S.D. Fuhlendorf, C. L. Wonkka, B. W. Allred, T.E. Ochsner, E.S.Krueger, 2018: Pyric herbivory, scales of heterogeneity and droughtFunctional Ecology32, 1599-1608.

Biermacher, J. T., F. M. Epplin, B. W. Brorsen, J. B. Solie, W. R. Raun, 2009: Economic feasibility of site-specific optical sensing for managing nitrogen fertilizer for growing wheatField Crops Research96, 63-70. (DOI: 10.1007/s11119-008-9092-y).

Bikos D., J. Weaver, and B. Motta, 2002: A satellite perspective of the 3 May, 1999 Great Plains tornado outbreak within OklahomaPrecision Agric.10, 213-230. (DOI: 10.1175/1520-0434(2002)017<0635:ASPOTM>2.0.CO;2).

Bindlish, R., W. P. Kustas, A. N. French, G. R. Diak, and J. R. Mecikalski, 2001: Influence of near-surface soil moisture on regional scale heat fluxes: model results using microwave remote sensing data from SGP97IEEE Transactions on Geoscience and Remote Sensing39, 1719-1728. (DOI: 10.1109/36.942550).

Blackwell B. R., K. J. Wooten, M. D. Buser, B. J. Johnson, G. P. Cobb, and P. N. Smith, 2015: Occurrence and characterization of steroid growth promoters associated with particulate matter originating from beef cattle feedlotsEnvironmental Science & Technology49(14), 8796-8803. (DOI: 10.1021/acs.est.5b01881).

Blake, B. T., D. B. Parsons, K. R. Haghi, and S. G. Castleberry, 2017: The Structure, Evolution, and Dynamics of a Nocturnal Convective System Simulated Using the WRF-ARW ModelMon. Wea. Rev.145, 3179-3201. (DOI: 10.1175/MWR-D-16-0360.1).

Blanchard, D.O., 2008: Interactions between a Supercell and a Quasi-Stationary Frontal BoundaryMon. Wea. Rev.136, 5199-5210. (DOI: 10.1175/2008MWR2437.1).

Blazier, M. A., T. C. Hennessey, T. B. Lynch, R. F. Wittwer, and M. E. Payton, 2004: Productivity, crown architecture, and gas exchange of North Carolina and Oklahoma/Arkansas loblolly pine families growing on a droughty site in southeastern OklahomaForest Ecology and Management194, 83-94. (DOI: 10.1016/j.foreco.2004.02.014).

Bluestein H. B., S. G. Gaddy, D. C. Dowell, A. L. Pazmany, J. C. Galloway, R. E. McIntosh, and H. Stein, 1997: Doppler radar observations of substorm-scale vortices in a supercellMon. Wea. Rev.125, 1046-1059. (DOI: 10.1175/1520-0493(1997)125<1046:DROOSS>2.0.CO;2).

Bluestein, H. B. and T. M. Crawford, 1997: Mesoscale Dynamics of the Near-Dryline Environment: Analysis of Data from COPS-91Mon. Wea. Rev.125, 2161-2175. (DOI: 10.1175/1520-0493(1997)125<2161:MDOTND>2.0.CO;2).

Bluestein, H. B., A. L. Pazmany, J. C. Galloway, and R. E. Mcintosh, 1995: Studies of the substructure of severe convective storms using a mobile 3-mm-wavelength Doppler radarBull. Amer. Meteor. Soc.76, 2155-2169. (DOI: 10.1175/1520-0477(1995)076<2155:SOTSOS>2.0.CO;2).

Bluestein, H. B., and J. C. Snyder, 2014: An observational study of the effects of dry air produced in dissipating convective storms on the predictability of severe weatherWeather and Forecasting30, 79-114. (DOI: 10.1175/WAF-D-14-00065.1).

Bluestein, H. B., G. S. Romine, R. Rotunno, D. W. Reif, and C. C. Weiss, 2018: On the Anomalous Counterclockwise Turning of the Surface Wind with Time in the Plains of the United StatesMon. Wea. Rev.146, 467-484. (DOI: 10.1175/MWR-D-17-0297.1).

Bluestein, H. B., J. B. Houser, M. M. French, J. C. Snyder, G. D. Emmitt, I. PopStefanija, C. Baldi and R. T. Bluth, 2014: Observations of the Boundary Layer near Tornadoes and in Supercells Using a Mobile, Collocated, Pulsed Doppler Lidar and RadarJ. Atmos. and Ocean. Tech.31, 302-325. (DOI: 10.1175/JTECH-D-13-00112.1).

Bluestein, H. B., J. C. Snyder, and J. B. Houser, 2015: A multi-scale overview of the El Reno, Oklahoma, tornadic supercell of 31 May 2013Weather and Forecasting30, 525-552. (DOI: 10.1175/WAF-D-14-00152.1).

Bluestein, H. B., Z. B. Wienhoff, D. D. Turner, D. W. Reif, J. C. Snyder, K. J. Thiem, and J. B. Houser, 2017: A Comparison of the Finescale Structures of a Prefrontal Wind-Shift Line and a Strong Cold Front in the Southern Plains of the United StatesMon. Wea. Rev.145, 3307-3330. (DOI: 10.1175/MWR-D-16-0403.1).

Blumberg, W.G., D.D. Turner, S.M. Cavallo, J. Gao, J. Basara, and A. Shapiro, 2019: An Analysis of the Processes Affecting Rapid Near-Surface Water Vapor Increases during the Afternoon to Evening Transition in OklahomaJ. Appl. Meteor. Climatol., , . (DOI: 10.1175/JAMC-D-19-0062.1).

Bodine, D., D. Michaud, R.D. Palmer, P.L. Heinselman, J. Brotzge, N. Gasperoni, B. Leng Cheong, M. Xue, and J. Gao, 2011: Understanding Radar Refractivity: Sources of UncertaintyJ. of Appl. Metr and Clim50(12), 2543-2560. (DOI: 10.1175/2011JAMC2648.1).

Bodine, D., P. L. Heinselman, B. L. Cheong, R. D. Palmer, and D. Michaud, 2010: A Case Study on the Impact of Moisture Variability on Convection Initiation Using Radar Refractivity RetrievalsJournal of Applied Meteorology and Climatology49, 1766-1778. (DOI: 10.1175/2010JAMC2360.1).

Bodine, D., P.M. Klein, S.C. Arms, and A. Shapiro, 2009: Variability of Surface Air Temperature over Gently Sloped TerrainJ. Appl. Meteor. Climatol.48, 1117-1141. (DOI: 10.1175/2009JAMC1933.1).

Bodnar, V.R., J. Lofton, M.R. Manuchehri, and A.D. Zander, 2019: Impact of Late-Season Herbicide Applications on Winter Canola Yield and Seed QualityAgrosystems, Geosciences & Environment2:180053, . (DOI: 10.2134/age2018.10.0053).

Bohmanova, J., I. Misztal, and J. B. Cole, 2007: Temperature-humidity indices as indicators of milk production losses due to heat stressJ. Dairy Sci.90, 1947-1956. (DOI: 10.3168/jds.2006-513).

Boni, G., F. Castelli, and D. Entekhabi, 2001: Sampling strategies and assimilation of ground temperature for the estimation of surface energy balance componentsIEEE Transactions on Geoscience and Remote Sensing39, 165-172. (DOI: 10.1109/36.898678).

Bonin, T. A., D. C. Goines, A. K. Scott, C. E. Wainwright, J. A. Gibbs, and P. B. Chilson, 2015: Measurements of the Temperature Structure-Function Parameters with a Small Unmanned Aerial System Compared with a SodarBoundary-Layer Meteorol155, 417-434. (DOI: 10.1007/s10546-015-0009-9).

Bonin, T. A., P. B. Chilson, B. S. Zielke, P. M. Klein, and J. R. Leeman, 2013: Comparison and Application of Wind Retrieval Algorithms for Small Unmanned Aerial SystemsGeoscientific Instrumentation, Methods and Data Systems2.2, 177-187. (DOI: 10.5194/gi-2-177-2013).

Bonin, T. A., P. B. Chilson, B. Zielke, and E. Fedorovich, 2013: Observations of the Early Evening Boundary-Layer Transition Using a Small Unmanned Aerial SystemBoundary Layer Metr.146, 1-14. (DOI: 10.1007/s10546-012-9760-3).

Boone, K.M., R.A. McPherson, M.B.Richman, D.J. Karoly, 2012: Spatial coherence of rainfall variations using the Oklahoma MesonetIntl. J. of Clim32, 843-853 . (DOI: 10.1002/joc.2322).

Borque, P., S.W. Nesbitt, R.J. Trapp, S. Lasher-Trapp, and M.Oue, 2020: Observational Study of the Thermodynamics and Morphological Characteristics of a Midlatitude Continental Cold Pool EventMonthly Weather Review148(2), 719-737. (DOI:10.1175/MWR-D-19-0068.1).

Bosma, T. L., J. M. Dole, and N. O. Maness, 2003: Optimizing marigold (Tagetes erecta L.) petal and pigment yieldCrop Sci.43, 2118-2124. (DOI: 10.2135/cropsci2003.2118).

Bosworth, J., T. Koshimizu, and S. T. Acton, 2004: Multi-resolution segmentation of soil moisture imagery by watershed pyramids with region mergingInternational Journal of Remote Sensing24, 741-760. (DOI: 10.1080/01431160110114989).

Boyer, C. N., B. W. Brorsen, W. R. Raun, D. B. Arnall and J. B. Solie, 2012: Efficiency of preplant, topdress, and variable rate application of nitrogen in winter wheatJ. of Plant Nutr.35(12), 1776-1790. (DOI: 10.1080/01904167.2012.706675).

Boyer, C.N., B.W. Borsen, J.B. Solie, and W.R. Raun, 2011: Profitability of variable rate nitrogen application in wheat productionPrecision Agric.12, 473-487. (DOI: 10.1007/s11119-010-9190-5).

Boyer, T. A., P. Kanza, M. Ghimire, and J. Q. Moss, 2015: Household Adoption of Water Conservation and Resilience Under Drought: The Case of Oklahoma CityWater Econs. Policy1(2), 21 pg. (DOI: 10.1142/S2382624X15500058).

Boyer, T. A., R. T. Melstrom, and L. D. Sanders, 2017: Effects of climate variation and water levels on reservoir recreationLake and Reservoir Management33(3), 223-233. (DOI: 10.1080/10402381.2017.1285375).

Bradley, J. C., R. E. Will, J. F. Stewart, C. D. Nelson, and J. M. Guldin, 2016: Post-fire resprouting of shortleaf pine is facilitated by a morphological trait but fire eliminates shortleaf × loblolly pine hybrid seedlingsForest Ecology and Management379, 146-152. (DOI: 10.1016/j.foreco.2016.08.016).

Brauer, N.S., J.B. Basara, P.E. Kirstetter, R.A. Wakefield, C.R. Homeyer, J. Yoo, M. Shepherd, M., and J.A. Santanello, 2021: The Inland Maintenance and Re-intensification of Tropical Storm Bill (2015) Part 2: Precipitation MicrophysicsJournal of Hydrometeorology, , . (DOI: 10.1175/JHM-D-20-0151.1).

Bried, J. T., S. K. Jog, C. A. Davis, A. R. Dzialowski, 2016: Rapid Buffer Assessment Fails to Predict and Classify Wetland Floristic Quality in OklahomaWetlands36(5), 799-805. (DOI: 10.1007/s13157-016-0786-z).

Bright, E. G. and E. A. Bergey, 2015: Spatial distribution of resting stages of crustaceans and other aquatic invertebrates in playa wetlandsJournal of Crustacean Biology35(4), 515-521. (DOI: 10.1163/1937240X-00002347).

Britt, K.C., P.S. Skinner, P.L. Heinselman, and K.H. Knopfmeier, 2020: Effects of Horizontal Grid Spacing and Inflow Environment on Forecasts of Cyclic Mesocyclogenesis in NSSL’s Warn-on-Forecast System (WoFS)Weather and Forecasting35 (6), 2423-2444. (DOI: 10.1175/WAF-D-20-0094.1).

Brock, F. V., K. C. Crawford, R. L. Elliott, G. W. Cuperus, S. J. Stadler, H. L. Johnson, and M. D. Eilts, 1995: The Oklahoma Mesonet: A Technical OverviewJ. Atmos. Oceanic Technol.12, 5-19. (DOI: 10.1175/1520-0426(1995)012<0005:TOMATO>2.0.CO;2).

Brotzge, J. A., 2004: A two-year comparison of the surface energy and water budgets between two OASIS sites 900+ km apartJ. Hydrometeorol.5, 311-326.

Brotzge, J. A. and C. M. Luttrell, 2015: Genesis of the Chickasha, Oklahoma, tornado on 24 May 2011 as observed by CASA radar and Oklahoma MesonetJournal of Operational Meteorology3(6), 59-69. (DOI: 10.15191/nwajom.2015.0306).

Brotzge, J. A., and C. E. Duchon, 2000: A field comparison among a domeless net radiometer, two 4-component net radiometers, and a domed net radiometerJ. Atmos. Oceanic Technol.17, 1569-1582. (DOI: 0.1175/1520-0426(2000)017<1569:AFCAAD>2.0.CO;2).

Brotzge, J. A., and D. Weber, 2002: Land-surface scheme validation using the Oklahoma Atmospheric Surface-layer Instrumentation System (OASIS) and Oklahoma Mesonet data: Preliminary resultsMeteorol. Atmos. Phys.80, 189-206. (DOI: 10.1007/s007030200025).

Brotzge, J. A., and K. C. Crawford, 2000: Estimating Sensible Heat Flux from the Oklahoma MesonetJ. Appl. Meteor.39, 102-116. (DOI: 10.1175/1520-0450(2000)039<0102:ESHFFT>2.0.CO;2).

Brotzge, J. A., and K. C. Crawford, 2003: Examination of the surface energy budget as observed from OASIS (eddy correlation) and ARM (Bowen ratio) measurement systemsJ. Hydrometeor.4, 160-178. (DOI: 10.1175/1525-7541(2003)4<160:EOTSEB>2.0.CO;2).

Brotzge, J. A., and S. J. Richardson, 2003: Spatial and temporal correlation among Oklahoma Mesonet and OASIS surface-layer measurementsJ. Appl. Meteor.42, 5-19. (DOI: 10.1175/1520-0450(2003)042<0005:SATCAO>2.0.CO;2).

Brotzge, J., K. Hondl, B. Philips, L. Lemon, E. J. Bass, D. Rude, and D. L. Andra, 2010: Evaluation of Distributed Collaborative Adaptive Sensing for Detection of Low-Level Circulations and Implications for Severe Weather Warning OperationsWeather and Forecasting25, 173-189. (DOI: 10.1175/2009WAF2222233.1).

Brown, C.R., S.L. Hannebaum, A. Eaton-Clark, W. Booth, and V.A. O'Brien, 2022: Elevated Temperature Reduces Overwintering Survival of an Avian Ectoparasite, the Swallow Bug (Hemiptera: Cimicidae: Cimex vicarius)Environmental Entomologynvac015, . (DOI: 10.1093/ee/nvac015).

Brown, W.G., M.H. Cosh, J. Dong, and T.E. Ochsner, 2023: Upscaling soil moisture from point scale to field scale: Toward a general modelValdose Zone Journale20244, . (DOI: 10.1002/vzj2.20244).

Bryan, G. H., and M. D. Parker, 2010: Observations of a Squall Line and Its Near Environment Using High-Frequency Rawinsonde Launches during VORTEX2Monthly Weather Review138, 4076-4097. (DOI: 10.1175/2010MWR3359.1).

Buban, M.S., C.L. Ziegler, E.N. Rasmussen, and Y.P. Richardson, 2007: The Dryline on 22 May 2002 during IHOP: Ground-Radar and In Situ Data Analyses of the Dryline and Boundary Layer EvolutionMon. Wea. Rev.135, 2473-2505. (DOI: 10.1175/MWR3453.1).

Buhler, R., and A. B. Cerato, 2010: Design of Dynamically Wind-Loaded Helical Piers for Small Wind TurbinesJournal of Performance of Constructed Facilities30, 370-379. (DOI: 10.1061/ASCECF.1943-5509.0000119).

Bukovčić, P., A Ryzhkov, and D Zrnić , 2020: Polarimetric relations for snow estimation – radar verificationJ. of Appl. Met. and Clim., , . (DOI: 10.1175/JAMC-D-19-0140.1).

Bukovčić, P., A. Ryzhkov, D. Zrnić, and G. Zhang, 2018: Polarimetric Radar Relations for Quantification of Snow Based on Disdrometer DataJ. Appl. Meteor. Climatol.57, 103-120. (DOI: 10.1175/JAMC-D-17-0090.1).

Bukovčić, P., D. Zrnić, and G. Zhang, 2017: Winter Precipitation Liquid–Ice Phase Transitions Revealed with Polarimetric Radar and 2DVD Observations in Central OklahomaJ. Appl. Meteor. Climatol.56, 1345-1363. (DOI: 10.1175/JAMC-D-16-0239.1).

Burch, M., and E. Levetin, 2004: Effects of meteorological conditions on spore plumesInternational Journal of Biometeorology46, 107-117. (DOI: 10.1007/s00484-002-0127-1).

Burke, E.J., L.A. Bastidas, and W. J. Shuttleworh, 2002: Exploring the potential for multipatch soil-moisture retrievals using multiparameter optimization techniquesIEEE Transactions on Geoscience and Remote Sensing40, 1114-1120. (DOI: 10.1109/TGRS.2002.1010898).

Burton, J. A., S. W. Hallgren, and M. W. Palmer, 2010: Fire Frequency Affects Structure and Composition of Xeric Forests of Eastern OklahomaNatural Areas Journal30, 370-379. (DOI: 10.3375/043.030.0401).

Bushdong, J.A., A.P. Griffth, T.F. Peeper, and F.M. Epplin, 2012: Continuous Winter Wheat Versus a Winter Canola–Winter Wheat RotationAgronomy Journal104(2), 324-330. (DOI: 10.2134/agronj2011.0244).

Bushong, J. T., D. B. Arnall, and W.R. Raun, 2014: Effect of Preplant Irrigation, Nitrogen Fertilizer Application Timing, and Phosphorus and Potassium Fertilization on Winter Wheat Grain Yield and Water Use EfficiencyInternational Journal of Agronomy2014, Article ID 312416, 12 pg. (DOI: 10.1155/2014/312416).

Bushong, J. T., E. C. Miller, J. L. Mullock, D. B. Arnall, and W. R. Raun, 2014: Effect of Irrigation and Preplant Nitrogen Fertilizer Source on Maize in the Southern Great PlainsInternational Journal of Agronomy2014, Article ID 247835, 10 pg. (DOI: 10.1155/2014/247835).

Bushong, J. T., E. C. Miller, J. L. Mullock, D. B. Arnall, and W. R. Raun, 2016: Irrigated and rain-fed maize response to different nitrogen fertilizer application methodsJournal of Plant Nutrition39 (13), 1874-1890. (DOI: : 10.1080/01904167.2016.1187747).

Bushong, J. T., J. L. Mullock, D. B. Arnall, and W. R. Raun, 2018: Effect of nitrogen fertilizer source on corn (Zea mays L.) optical sensor response index values in a rain-fed environmentJournal of Plant Nutrition, , . (DOI: 10.1080/01904167.2018.1434202).

Bushong, J. T., J. L. Mullock, E. C. Miller, W. R. Raun, and D. B. Arnall, 2016: Evaluation of mid-season sensor based nitrogen fertilizer recommendations for winter wheat using different estimates of yield potentialPrecision Agriculture17(4), 470-487. (DOI: 10.1007/s11119-016-9431-3).

Bushong, J.T., J.L. Mullock, E.C. Miller, W.R. Raun, A.R. Klatt, and D.B. Arnall, 2016: Development of an in-season estimate of yield potential utilizing optical crop sensors and soil moisture data for winter wheatPrecision Agric17, 451. (DOI: 10.1007/s11119-016-9430-4).

Butchee, K., D.B. Arnall, A. Sutradhar, C. Godsey, H. Zhang, and C. Penn, 2012: Determining Critical Soil pH for Grain Sorghum ProductionIntl. J. of Agronomy2012, 130254. (DOI: 10.1155/2012/130254).

Cahalan, R., F. M. McGill, J. Kolasinski, T. Varnai, and K. Yetzer, 2005: THOR-cloud thickness from offbeam lidar returnsJ. Atmos. Oceanic Technol.22, 605-627. (DOI: 10.1175/JTECH1740.1).

Cahil, N., M. Popp, C. West, A. Rocateli, A. Ashworth, R. Farris Sr, and B. Dixon, 2014: Switchgrass Harvest Time Effects on Nutrient Use and Yield: An Economic AnalysisJournal of Agricultural and Applied Economics46.4, 487-507. (DOI: 10.1017/S1074070800029060).

Cai, H., W.C. Lee, T.M. Weckwerth, C. Flamant, and H.V. Murphey, 2006: Observations of the 11 June Dryline during IHOP_2002-A Null Case for Convection InitiationMon Wea. Rev.134, 336-354. (DOI: 10.1175/MWR2998.1).

Calhoun, K. M., D. R. MacGorman, C. L. Ziegler, and M. I. Biggerstaff, 2013: Evolution of lightning activity and storm charge relative to dual-Doppler analysis of a high-precipitation supercell stormMonthly Weather Review141(7), 2199-2223. (DOI: 10.1175/MWR-D-12-00258.1).

Campbell, J. L., L. E. Rustad, J. H. Porter, J. R. Taylor, E. W. Dereszynski, and Coauthors, 2013: Quantity is Nothing without Quality: Automated QA/QC for Streaming Environmental Sensor DataBioScience63 (7), 574-585. (DOI: 10.1525/bio.2013.63.7.10).

Campos, I., L. González-Gómez, J. Villodre, J. González-Piqueras, A.E. Suyker and A. Calera, 2018: Remote sensing-based crop biomass with water or light-driven crop growth models in wheat commercial fieldsField Crops Research216, 175-188. (DOI: 10.1016/j.fcr.2017.11.025).

Cao, Q., G. Zhang, E. A. Brandes, and T. J. Schuur, 2010: Polarimetric Radar Rain Estimation through Retrieval of Drop Size Distribution Using a Bayesian ApproachJournal of Applied Meteorology and Climatology49, 973-990. (DOI: 10.1175/2009JAMC2227.1).

Carbin, G., and J. Guyer, 2011: Tornadoes 2011: An Unprecedented YearWeatherwise65(3), 12-19. (DOI: 10.1080/00431672.2012.670071).

Carlin, J.T., J. Gao, J.C. Snyder, and A.V. Ryzhkov, 2017: Assimilation of ZDR Columns for Improving the Spinup and Forecast of Convective Storms in Storm-Scale Models: Proof-of-Concept ExperimentsMon. Wea. Rev.145(12), 5033–5057. (DOI: 10.1175/MWR-D-17-0103.1).

Carlson J. D., L. S. Bradshaw, R. M. Nelson, R. R. Bensch, and R. Jabrzemski, 2007: Application of the Nelson model to four timelag fuel classes using Oklahoma field observations: model evaluation and comparison with National Fire Danger Rating System algorithmsInternational Journal of Wildland Fire16, 204-216. (DOI: 10.1071/WF06073).

Carlson, J. D., and R. E. Burgan, 2003: Review of user needs in operational fire danger estimation: The Oklahoma exampleInternational Journal of Remote Sensing24, 1601-1620. (DOI: 10.1080/01431160210144651).

Carlson, J. D., R. E. Burgan, D. M. Engle, and J. R. Greenfield, 2002: The Oklahoma Fire Danger Model: An operational tool for mesoscale fire danger rating in OklahomaIntl. J. Wildland Fire11, 183-191. (DOI: 10.1071/WF02003).

Carlson, J.D., and D.S. Arndt, 2008: The Oklahoma Dispersion Model: Using the Gaussian Plume Model as an Operational Management Tool for Determining Near-Surface Dispersion Conditions across OklahomaJ. Appl. Meteor. Climatol.47, 462-474. (DOI: 10.1175/2007JAMC1418.1).

Carroll J. M., C. A. Davis, R. D. Elmore, and S. D. Fuhlendorf, 2017: Using a historic drought and high-heat event to validate thermal exposure predictions for ground-dwelling birdsEcol Evol.7, 6413-6422. (DOI: 10.1002/ece3.3185).

Carroll, J. M., C. A. Davis, D. Elmore, and S. D. Fuhlendorf, 2015: A ground-nesting galliform's response to thermal heterogeneity: implications for ground-dwelling birdsPLoS-One10(11), e0143676. (DOI:10.1371/journal.pone.0143676).

Carroll, J. M., C. A. Davis, D. Elmore, S. D. Fuhlendorf, and E. T. Thacker, 2015: Thermal patterns constrain diurnal behavior of a ground-dwelling birdEcosphere6(11), 222. (DOI: 10.1890/ES15-00163.1.sm).

Carroll, J. M., C. A. Davis, R. D. Elmore, and S. D. Fuhlendorf, 2017: Response of Northern Bobwhite Movements to Management-Driven Disturbance in a Shrub-Dominated EcosystemRangeland Ecology & Management70 (2), 175-182. (DOI: 10.1016/j.rama.2016.08.006).

Carroll, J. M., C. A. Davis, S. D. Fuhlendorf, and R. D. Elmore, 2016: Landscape pattern is critical for the moderation of thermal extremesEcosphere7(7):e01403, . (DOI: 10.1002/ecs2.1403).

Carroll, J. M., T. J. Hovick, C. A. Davis, R. D. Elmore, and S. D. Fuhlendorf, 2017: Reproductive plasticity and landscape heterogeneity benefit a ground‐nesting bird in a fire‐prone ecosystemEcological Applications27(7), 2234-2244. (DOI: 10.1002/eap.1604).

Carroll, R. L., C. A. Davis, S. D. Fuhlendorf, R. D. Elmore, and J. M. Carroll, 2020: Orientation affects nest temperature of ground-nesting birdsThe Wilson Journal of Ornithology, , . (DOI: 10.1676/19-09).

Carroll, R.L., C.A. Davis, S.D. Fuhlendorf, R. D. Elmore, S.E. DuRant, and J.M. Carroll, 2018: Avian parental behavior and nest success influenced by temperature fluctuationsJournal of Thermal Biology74, 140-148. (DOI: 10.1016/j.jtherbio.2018.03.020).

Carter, D. L., and B. L. VanderWeide, 2014: Belowground bud production is linked to population establishment in Sorghastrum nutans (Poaceae)Plant Ecology215(9), 977-986. (DOI: 10.1007/s11258-014-0353-8).

Carver, B. F., R. M. Hunger, A. R. Klatt, J. T. Edwards, W.D. Worrall, D. R. Porter, P. Rayas-Duarte, and Coauthors, 2006: Registration of 'OK Bullet' wheatCrop Sci. 46, 2322-2323. (DOI: 10.2135/cropsci2006.04.0268).

Carver, B. F., R. M. Hunger, E. L. Smith, A. R. Klatt, J. T. Edwards, D. R. Porter, P. Rayas-Duarte, and Coauthors, 2006: Registration of 'Endurance' wheatCrop Sci46, 1816-1817. (DOI: 10.2135/cropsci2005.12-0452CRC).

Carver, B. F., R. M. Hunger, E. L. Smith, A. R. Klatt, J. T. Edwards, D. R. Porter, P. Rayas-Duarte, and Coauthors, 2006: Registration of 'Deliver' wheatCrop Sci. 46, 1819-1820. (DOI: 10.2135/cropsci2006.01-0016CRC).

Caton, T. M., L. R. Witte, H. D. Ngyuen, J. A. Buchheim, M.A. Buchheim, and M.A. Schneegurt, 2004: Halotolerant aerobic heterotrophic bacteria from the Great Salt Plains of OklahomaMicrobial Ecology48, 449-462. (DOI: 10.1007/s00248-004-0211-7).

Cazenave, A.-B. K. Shah, T. Trammell, M. Komp, J. Hoffman, C. M. Motes, and M. J. Monteros, 2019: High-Throughput Approaches for Phenotyping Alfalfa Germplasm under Abiotic Stress in the FieldThe Plant Phenome Journal, , 13 pp. (DOI: 10.2135/tppj2019.03.0005).

Chakraborty, D., H. Başagaoglu, S. Alian, A. Mirchi, D.N. Moriasi, P.J. Starks, and J.A. Verser, 2022: Multiscale extrapolative learning algorithm for predictive soil moisture modeling & applicationsExpert Systems with Applications119056, . (DOI: 10.1016/j.eswa.2022.119056).

Chamaki,S., S. Taghvaeian, H. Zhang, and J.G. Warren , 2019: Soil Salinity Variations in an Irrigation Scheme during a Period of Extreme Dry and Wet CyclesSoil Systems3 (35), 1-16. (DOI: 10.3390/soilsystems3020035).

Champollion, C., C. Flamant, O. Bock, F. Masson, D. D. Turner, and T. Weckwerth, 2009: Mesoscale GPS tomography applied to the 12 June 2002 convective initiation event of IHOP_2002Quarterly Journal of the Royal Meteorological Society135, 645-662. (DOI: 10.1002/qj.386).

Chan, S. R. Bindlish, P. O'Neill, T. Jackson, E. Njoku, S. Dunbar, J. Chaubell, J. Piepmeier, S. Yueh, D. Entekhabi, et al., 2018: Development and assessment of the SMAP enhanced passive soil moisture productRemote Sensing of Environment204, 931-941. (DOI: 10.1016/j.rse.2017.08.025).

Chaney, N. W., J. Sheffield, G. Villarini, and E. F. Wood, 2014: Development of a High-Resolution Gridded Daily Meteorological Dataset over Sub-Saharan Africa: Spatial Analysis of Trends in Climate ExtremesJ. of Clim.27(15), 5815-5835. (DOI: 10.1175/JCLI-D-13-00423.1).

Chasteen, M.B., S.E. Koch, and D.B. Parsons, 2019: Multiscale Processes Enabling the Longevity and Daytime Persistence of a Nocturnal Mesoscale Convective SystemMon. Wea. rev.147, 733-761. (DOI: 10.1175/MWR-D-18-0233.1).

Chen, F., K. W. Manning, M. A. LeMone, S. B. Trier, J. G. Alfieri, R. Roberts, J. Wilson, M. Tewari, D. Niyogi, and Coauthors, 2007: Evaluation of the characteristics of the NCAR High-Resolution Land Data Assimilation System During IHOP-02J. Appl. Meteor.46, 694-713.

Chen, F., W.T. Crow, P.J. Starks, and D.N. Moriasi, 2011: Improving hydrologic predictions of a catchment model via assimilation of surface soil moistureAdv. In Water Res.34(4), 526-536. (DOI: 10.1016/j.advwatres.2011.01.011).

Chen, H., J. Gao, Y. Wang, Y. Chen, T. Sun, J. Carlin, and Y. Zheng, 2021: Radar reflectivity data assimilation method based on background‐dependent hydrometeor retrieval: Comparison with direct assimilation for real casesQuarterly Journal of the Royal Meteorological Society147(737), 2409-2428. (DOI: 10.1002/qj.4031).

Chen, W., T.R. Pinker, Y. Ma, G. Hulley, E. Borbas, T. Islam, K. Cawse-Nicholson, S. Hook, C. Hain, and J. Basara, 2021: Land Surface Temperature from GOES-East and GOES-WestJournal of Atmospheric and Oceanic Technology, , . (DOI: 10.1175/JTECH-D-20-0086.1).

Chen, Y. N. T. Dunford, J. Edwards, B. Carver, C. Goad, 2009: Policosanol content and composition of wheat varieties as affected by environmentJournal of the Science of Food and Agriculture89, 310-314. (DOI: 10.1002/jsfa.3446).

Chen, Y. N. T. Dunford, J. Edwards, B. Carver, C. Goad, 2009: Genotype and Environment Affect Phytosterol Content and Composition of WheatCereal Chemistry86, 96-99. (DOI: 10.1094/CCHEM-86-1-0096).

Cheng, Y., C. Sayde, Q. Li, J. Basara, J. Selker, E. Tanner, and P. Gentine, 2017: Failure of Taylor's hypothesis in the atmospheric surface layer and its correction for eddy-covariance measurementsGeophys. Res. Lett.44, 4287-4295. (DOI: 10.1002/2017GL073499).

Cheng, Y., Huang, M., Zhu, B., Bisht, G., Zhou, T., Liu, Y., et al., 2021: Validation of the Community Land Model Version 5 over the Contiguous United States (CONUS) using in‐situ and remote sensing datasetsJournal of Geophysical Research: Atmospheres126, e2020JD033539. (DOI: 10.1029/2020JD033539).

Cheong, B. L., R. D. Palmer, C. D. Curtis, T. Y. Yu, D. S. Zrnic and D. Forsyth, 2008: Refractivity Retrieval Using the Phased-Array Radar: First Results and Potential for Multimission OperationIEEE Transactions on Geoscience and Remote Sensing46 (9), 2527-2537. (DOI: 10.1109/TGRS.2008.919506).

Chester-Davis, L., 2019: Mesonet data as a farm management toolCrops Soils52, 32-34. (DOI: 10.2134/cs2019.52.0307).

Chiasson, A. D., J. D. Spitler, S. J. Rees, and M. D. Smith, 2000: A model for simulating the performance of a pavement heating system as a supplemental heat rejecter with closed-loop ground-source heat pump systems J. Solar Energy Engineering122, 183-191. (DOI: 10.1115/1.1330725).

Childers, J.T., M.R. Manuchehri, V. Kumar, and T.E. Ochsner, 2022: Sensitivity of Non-resistant Winter Wheat to Quizalofop-P-ethyl in Central Oklahoma and KansasWeed Science, , . (DOI: 10.1017/wet.2022.64).

Childs, P. P., A. L. Qureshi, S. Raman, K. Alapaty, R. Ellis, R. Boyles, and D. Niyogi, 2006: Simulation of convective initiation during IHOP_2002 using the Flux-Adjusting Surface Data Assimilation System (FASDAS)Mon Wea. Rev.134, 134-148. (DOI: 10.1175/MWR3064.1).

Chilson, P.B., and M.B. Yeary, 2012: Hands-On Learning Modules for Interdisciplinary Environments: An Example With a Focus on Weather Radar ApplicationsIEEE Trans.55(2), 238-247. (DOI: 10.1109/TE.2011.2164796).

Chilson, P.B., Bell, K.A. Brewster, G. Britto Hupsel de Azevedo, F.H. Carr, K. Carson, W. Doyle, C.A. Fiebrich, et al., 2019: Moving towards a Network of Autonomous UAS Atmospheric Profiling Stations for Observations in the Earth’s Lower Atmosphere: The 3D Mesonet ConceptSensors19(12), 2720. (DOI: 10.3390/s19122720).

Chrit, M. and M. Majdi, 2022: Improving Wind Speed Forecasting for Urban Air Mobility Using Coupled SimulationsAdvances in MeteorologyArticle ID 2629432, 14 pp. (DOI: 10.1155/2022/2629432).

Ciach, G. J., and W. F. Krajewski, 2006: Analysis and modeling of spatial correlation structure in small-scale rainfall in Central OklahomaAdvances in Water Resources29 (10), 1450-1463. (DOI: 10.1016/j.advwatres.2005.11.003).

Ciach, G. J., E. Habib, and W. F. Krajewski, 2003: Zero-covariance hypothesis in the error variance separation method of radar rainfall verificationAdvances in Water Resources26 (5), 573-580. (DOI: 10.1016/S0309-1708(02)00163-X).

Ciach, G.J., 2003: Local Random Errors in Tipping-Bucket Rain Gauge MeasurementsJ. Atmos. Oceanic Technol.20, 752-759. (DOI: 10.1175/1520-0426(2003)20<752:LREITB>2.0.CO;2).

Ciach, G.J., W.F. Krajewski, and G. Villarini, 2007: Product-Error-Driven Uncertainty Model for Probabilistic Quantitative Precipitation Estimation with NEXRAD DataHydrometeor.8, 1325-1347. (DOI: 10.1175/2007JHM814.1).

Cisar, C. R., S. K. Henderson, M. L. Askew, H. G. Risenhoover, C. R. McAndrews, S. D. Kennedy, and C. Paine, 2014: Antibiotic Resistance in Aeromonas Upstream and Downstream of a Water Resource Recovery FacilityWater Environment Research86(9), 835-843. (DOI: 10.2175/106143014X14062131177917).

Cobb, A. B., G. W. T. Wilson, C. L. Goad, S. R. Bean, T. T. Tesso, and J. D. Wilson, 2017: Assessing the influence of farm fertility amendments, field management, and sorghum genotypes on soil microbial communities and grain qualityApplied Soil Ecology119, 367-374. (DOI: 10.1016/j.apsoil.2017.06.010).

Cocke, S., M. Boisserie, and D.-W. Shin, 2012: A coupled soil moisture initialization scheme for the FSU/COAPS climate modelInverse Problems in Science and Engineering21:3, 420-437. (DOI: 10.1080/17415977.2012.712529).

Cohen, D. R., and D. Zilberman, 1997: Actual versus Stated Willingness to Pay: A CommentJournal of Agricultural and Resource Economics22, 76-381.

Coleman, S.W., C. C. Chase, W.A. Phillips, and D.G. Riley, 2018: Feed efficiency of tropically adapted cattle when fed in winter or spring in a temperate locationJournal of Animal Science96(6), 2438-2452. (DOI: 10.1093/jas/sky138).

Coleman, S.W., C.C. Chase, W.A. Phillips, and D.G. Riley, 2018: Feed efficiency of tropically adapted cattle when fed in winter or spring in a temperate locationJournal of Animal Science96(6), 2438-2452. (DOI: 10.1093/jas/sky138).

Collow, T.W., A. Robock, J.B. Basara, and B.G. Illston, 2012: Evaluation of SMOS retrievals of soil moisture over the central United States with currently available in situ observationsJ. of Geophys. Res117, . D09113, 15 PP (DOI: 10.1029/2011JD017095).

Coniglio, M.C., G.S. Romine, D.D. Turner, and R.D. Torn, 2019: Impacts of Targeted AERI and Doppler Lidar Wind Retrievals on Short-Term Forecasts of the Initiation and Early Evolution of ThunderstormsMon. Wea. Rev., , . (DOI: 10.1175/MWR-D-18-0351.1).

Coniglio, M.C., S.M. Hitchcock, and K.H. Knopfmeier, 2016: Impact of Assimilating Preconvective Upsonde Observations on Short-Term Forecasts of Convection Observed during MPEXMon. Wea. Rev.144, 4301-4325. (DOI: 10.1175/MWR-D-16-0091.1).

Conley, A. L., E. K. Jorde, R. E. Jorde, L. K. Yates, K. K. Lee, C. L. Hall, and D. R. Howard, 2015: Habitat-Related Differences In Necrophilous Species Composition: Implications For Resource CompetitionPrairie Naturalist47(1), 45-49.

Contina, A., A. K. Pierce, S. W. Yanco, E. S. Bridge, J. F. Kelly, and M. B. Wunder, 2023: Application of stable isotopes to study movement ecology and diet variation in a migratory songbirdJ. of Field Ornithology93 (4). (DOI: 10.5751/JFO-00179-930406).

Cooper-Prado, M.J., N.M. Long, E.C. Wright, C.L. Goad, and R.P. Wettemann, 2011: Relationship of ruminal temperature with partuition and estrus of beef cowsJ. of Animal Sci.89(4), 1020-1027. (DOI: 10.2527/jas.2010-3434).

Cornell C.R., Y. Zhang, J.D. Van Nostrand, P. Wagle, X. Xiao, and J. Zhou, 2021: Temporal Changes of Virus-Like Particle Abundance and Metagenomic Comparison of Viral Communities in Cropland and Prairie SoilsmSphere6 (3), 20 pp. (DOI: 10.1128/mSphere.01160-20).

Cornell, C.R., Y. Zhang, D. Ning, L. Wu, P. Wagle, J.L. Steiner, X. Xiao, and J. Zhou, 2022: Temporal Dynamics of Bacterial Communities along a Gradient of Disturbance in a U.S. Southern Plains AgroecosystemEnvironmental Microbiology, , 18 pp. (DOI: 10.1128/mbio.03829-21).

Cortinas Jr, J. V., J. M. Straka, W. H. Beasley, J. M. Schneider, and C. M. Machacek, 1996: The Research Experiences for Undergraduates Program: The 1995 Program at the Oklahoma Weather CenterBulletin of the American Meteorological Society77(12), .

Cosgrove, B. A., D. Lohmann, K. E. Mitchell, P. R. Houser, E. F. Wood, J. Schaake, A. Robock, D. P. and Coauthors, 2002: Real-time and retrospective forcing in the North American Land Data Assimilation System (NLDAS) projectJ. Geophys. Res.108, D22. (DOI: 10.1029/2002JD003118).

Cosh M.H., T.G. Caldwell, C.B. Baker, J.D. Bolten, N. Edwards, P. Goble, H. Hofman, T.E. Ochsner, S. Quiring, C.Schalk, et al., 2021: Developing a strategy for the national coordinated soil moisture monitoring networkVadose Zone J., , 1-13. (DOI: 10.1002/vzj2.20139).

Cosh, M. H., P. J. Starks, J. A. Guzman, and D. N. Moriasi, 2014: Upper Washita River Experimental Watersheds: Multiyear stability of soil water content profilesJournal of Environmental Quality43(4), 1328-1333. (DOI: 10.2134/jeq2013.08.0318).

Cosh, M.H., T.E. Ochsner, L. McKee, J. Dong, J.B. Basara, S.R. Evett, C.E. Hatch, E.E. Small, S.C. Steele-Dunne, and others, 2016: The Soil Moisture Active Passive Marena, Oklahoma, In Situ Sensor Testbed (SMAP-MOISST): Testbed Design and Evaluation of In Situ SensorsVadose Zone J15, 11 pgs. (DOI: 10.2136/vzj2015.09.0122).

Couvreux, F., F. Guichard, P.H. Austin, and F. Chen, 2009: Nature of the Mesoscale Boundary Layer Height and Water Vapor Variability Observed 14 June 2002 during the IHOP_2002 CampaignMon Wea. Rev.137, 414-432. (DOI: 10.1175/2008MWR2367.1).

Craig, R. L., and E. Levetin, 2000: Multi-year study of Ganoderma aerobiologyAerobiologia16, 75-81. (DOI: 10.1023/A:1007682600175).

Craine J. M., E. G. Towne , A. Joern, and R. G. Hamilton, 2009: Consequences of climate variability for the performance of bison in tallgrass prairieGlobal Change Biology15, 772-779. (DOI: 10.1111/j.1365-2486.2008.01769.x).

Crawford, P. H. and B. W. Hoagland, 2010: Using species distribution models to guide conservation at the state level: the endangered American burying beetle (Nicrophorus americanus) in OklahomaJournal of Insect Conservation14(5), 511-521. (DOI: 10.1007/s10841-010-9280-8).

Crawford, T. M., and C. E. Duchon, 1999: An improved parameterization for estimating effective atmospheric emissivity for use in calculating daytime downwelling longwave radiationJ. Appl. Meteor.38, 474-480. (DOI: 10.1175/1520-0450(1999)038<0474:AIPFEE>2.0.CO;2).

Crawford, T. M., and H. B. Bluestein, 1997: Characteristics of dryline passage during COPS-91Mon Wea. Rev.125, 463-477. (DOI: 10.1175/1520-0493(1997)125<0463:CODPDC>2.0.CO;2).

Crawford, T. M., and H. B. Bluestein, 2000: An operational, diagnostic surface energy budget modelJ. Appl. Meteor.39, 1196-1217. (DOI: 10.1175/1520-0450(2000)039<1196:AODSEB>2.0.CO;2).

Crawford, T. M., D. J. Stensrud, F. Mora, J. W. Merchant, and P. J. Wetzel, 2001: Value of incorporating satellite-derived land cover data in MM5/PLACE for simulating surface temperaturesJ. Hydrometeorol.2, 453-468. (DOI: 10.1175/1525-7541(2001)002<0453:VOISDL>2.0.CO;2).

Crawford, T. M., D. J. Stensrud, T. N. Carlson, and W. J. Capehart, 2000: Using a soil hydrology model to obtain regionally averaged soil moisture valuesJ. Hydrometeorol.1, 353-363. (DOI: 10.1175/1525-7541(2000)001<0353:UASHMT>2.0.CO;2).

Crose, J., M. Manucheri, and T. Baughman, 2021: Smallseed Falseflax (Camelina microcarpa) Management in Oklahoma Winter WheatWeed Technology, , 1-14. (DOI: 10.1017/wet.2021.51).

Crow W. T., and E. F. Wood, 2003: The assimilation of remotely sensed soil brightness temperature imagery into a land surface model using Ensemble Kalman filtering: a case study based on ESTAR measurements during SGP97Advances in Water Resources26, 137-149. (DOI: 10.1016/S0309-1708(02)00088-X).

Crow, W. T., 2003: Correcting land surface model predictions for the impact of temporally sparse rainfall rate measurements using an ensemble Kalman filter and surface brightness temperature observationsJ. Hydrometeorol.4, 960-973. (DOI: 10.1175/1525-7541(2003)004<0960:CLSMPF>2.0.CO;2).

Crow, W. T., E. F. Wood, and M. Pan, 2003: Multi-objective calibration of land surface model evapotranspiration predictions using streamflow observations and spaceborn surface radiometric temperature retrievalsJ. Geophys. Res.108, 3292-3330. (DOI: 10.1029/2002JD003292).

Crow, W.T., and E. Van Loon, 2006: Impact of Incorrect Model Error Assumptions on the Sequential Assimilation of Remotely Sensed Surface Soil MoistureJ. Hydrometeor.7, 421-432. (DOI: 10.1175/JHM499.1).

Cruz‐Blanco, M., C. Santos, P. Gavilán, and I. J. Lorite, 2015: Uncertainty in estimating reference evapotranspiration using remotely sensed and forecasted weather data under the climatic conditions of Southern SpainInternational Journal of Climatology35(11), 3371-3384. (DOI: 10.1002/joc.4215).

Cui, Y., Xiao, X., B Doughty, R. B. Doughty, Y. Qin, S. Liu, N. Li, G. Zhao, and J. Dong, 2018: The relationships between urban-rural temperature difference and vegetation in eight cities of the Great PlainsFront. Earth Sci. 2018, . (DOI: 10.1007/s11707-018-0729-5).

Cumba, H. J., and D. W. Hamilton, 2002: Liquid balance model for swine waste management systems using single-stage anaerobic lagoonsTransactions of the ASAE45, 973-981.

Cunha, L.K., P.V. Mandapaka, W. F. Krajewski, R. Mantilla and A. A. Bradley, 2012: Impact of radar‐rainfall error structure on estimated flood magnitude across scales: An investigation based on a parsimonious distributed hydrological modelWater Resources Research48(10), W10515. (DOI: 10.1029/2012WR012138).

Czajkowski, K. P., S. N. Goward, D. Shirey, and A. Walz, 2002: Thermal remote sensing of near-surface water vaporRemote Sensing of Environment79(2-3), 253-265. (DOI: 10.1016/s0034-4257(01)00277-2).

Czaojkowski, K. P., S. N. Goward, S. J. Stadler, and A. Waltz, 2000: Thermal remote sensing of near surface environmental variables: an application over the Oklahoma MesonetThe Professional Geographer52, 345-357. (DOI: 10.1111/0033-0124.00230).

Dahl, N., and M. Xue, 2016: Prediction of the 14 June 2010 Oklahoma City Extreme Precipitation and Flooding Event in a Multiphysics Multi-Initial-Conditions Storm-Scale Ensemble Forecasting SystemWeather and Forecasting31(4), 1215-1246. (DOI: 10.1175/WAF-D-15-0116.1).

Damicone, J. P., K. E. Jackson, J. R. Sholar, and M. S. Gregory, 1994: Evaluation of a weather-based spray advisory for management of early leaf spot of peanut in OklahomaPeanut Science21, 115-121. (DOI: 10.3146/i0095-3679-21-2-10).

Daniels, B. and R. T. Melstrom, 2017: Examining Recreation Demand for Lakeshore Parks in Oklahoma: What is Causing the Downward Trend in Attendance?Journal of Park & Recreation Administration35(2), 25-36.

Das, N. N., and B. P. Mohanty, 2006: Root zone soil moisture assessment using remote sensing and Vadose Zone modelingVadose Zone J.5, 296-307. (DOI: 10.2136/vzj2005.0033).

Das, N.N., D. Entekhabi, Dunbar, R.S., A. Colliander, F. Chen, W. Crow, T.J. Jackson, A. Berg, D.D. Bosch, and Coauthors, 2018: The SMAP mission combined active-passive soil moisture product at 9 km and 3 km spatial resolutionsRemote Sensing of Environment211, 204-217. (DOI: 10.1016/j.rse.2018.04.011).

Das, N.N., D. Entekhabi, R. S. Dunbar, M. J. Chaubell, A. Colliander, S. Yueh, et al., 2019: The SMAP and Copernicus Sentinel 1A/B microwave active-passive highresolution surface soil moisture productRemote Sensing of Environment233, 17 pp.. (DOI: 10.1016/j.rse.2019.111380).

Datta, S., M. Mehata, S. Taghvaeian, D. Moriasi, and P.J. Starks, 2021: Quantifying Water Fluxes of Irrigated Fields in an Agricultural Watershed in OklahomaJournal of Irrigation and Drainage Engineering147(7), p.04021026. (DOI: 10.1061/(ASCE)IR.1943-4774.0001570).

Datta, S., S. Taghvaeian,, T. Ochsner,, D. Moriasi,, P. Gowda, and J. Steiner, 2018: Performance Assessment of Five Different Soil Moisture Sensors under Irrigated Field Conditions in OklahomaSensors18(11), 3786. (DOI: 10.3390/s18113786).

Dav, F., S. Alessandrini, S. Sperati, L.D. Monache, D. Airoldi, and M.T. Vespucci, 2016: Post-processing techniques and principal component analysis for regional wind power and solar irradiance forecastingSol. Energy134 (2016), 327-338. (DOI: 10.1016/j.solener.2016.04.049).

Davò, F., S. Alessandrini, S. Sperati, L. Delle Monache, D. Airoldi, and M. T. Vespucci, 2016: Post-processing techniques and principal component analysis for regional wind power and solar irradiance forecastingSolar Energy134, 327-338. (DOI: 10.1016/j.solener.2016.04.049).

Dawson, D. T., II, and M. Xue, 2006: Numerical forecasts of the 15-16 June 2002 Southern Plains severe MCS: Impact of mesoscale data and cloud analysisMon Wea. Rev.134, 1607-1629. (DOI: 10.1175/MWR3141.1).

Dawson, D. T., M. Xue, J. A. Milbrandt, and A. Shapiro, 2015: Sensitivity of Real-data Simulations of the 3 May 1999 Oklahoma City Tornadic Supercell and Associated Tornadoes to Multi-moment Microphysics. Part I: Storm-and Tornado-scale Numerical ForecastsMonthly Weather Review143, 2241-2265. (DOI: 10.1175/MWR-D-14-00279.1).

Dawson, D. T., M. Xue, J. A. Milbrandt, and M. K. Yau, 2010: Comparison of Evaporation and Cold Pool Development between Single-Moment and Multimoment Bulk Microphysics Schemes in Idealized Simulations of Tornadic ThunderstormsMonthly Weather Review138, 1152-1171. (DOI: 10.1175/2009MWR2956.1).

de Azevedo, G.B.H., B. Doyle, C. A. Fiebrich, and D. Schvartzman, 2022: The Impact of Environmental Variables on UAS-based Atmospheric Carbon Dioxide MeasurementsAtmospheric Measurement Techniques, , 23 pp. (DOI: 10.5194/amt-2022-50).

De Jeu, R. A. M., and M. Owe, 2004: Further validation of a new methodology for surface moisture and vegetation optical depth retrievalInternational Journal of Remote Sensing24, 4559-4578. (DOI: 10.1080/0143116031000095934).

De Meutter, P, L. Gerard, G. Smet, K. Hamid, R. Hamdi, D. Degrauwe, and P. Termonia, 2015: Predicting Small-Scale, Short-Lived Downbursts: Case Study with the NWP Limited-Area ALARO Model for the Pukkelpop ThunderstormMonthly Wea. Rev.143, 742-756. (DOI: 10.1175/MWR-D-14-00290.1).

de Souza, C.H.L.,C.C. Fernandes Filho,R. S. Canny,N. Sharma,M. Saha,M. O. Wallau,W. Anderson,L. Baxter, et al., 2022: Unraveling Phenotypic Diversity in Cynodon spp. Germplasm for Forage Accumulation and Nutritive Value in the Transition ZoneCrop Science, , . (DOI: 10.1002/csc2.20871).

de Souza, C.H.L.,C.C. Fernandes Filho,R. S. Canny,N. Sharma,M. Saha,M. O. Wallau,W. Anderson,L. Baxter, et al., 2022: Phenotypic Diversity for Forage Accumulation and Nutritive Value in BermudagrassCrop Science, , . (DOI: 10.1002/csc2.20871).

Debnath, D., 2015: Can Carbon Credit Reduce Switchgrass Breakeven Price?American Journal of Biomass and Bioenergy4(1), 10-27. (DOI: 10.7726/ajbb.2015.1002).

Debnath, D., A. L. Stoecker, and F. M. Epplin, 2014: Impact of environmental values on the breakeven price of switchgrassBiomass and Bioenergy70, 184-195. (DOI: 10.1016/j.biombioe.2014.08.021).

Debnath, D., F. M. Epplin, and A. L. Stoecker, 2014: Managing spatial and temporal switchgrass biomass yield variabilityBioenerg. Res.7, 946-957. (DOI: 10.1007/s12155-014-9436-6).

Debnath, D., F. M. Epplin, and A. L. Stroecker, 2015: Switchgrass procurement strategies for managing yield variability: Estimating the cost-efficient d (downtime cost) l (land to lease) frontierBiomass & Bioenergy77, 110-122. (DOI: 10.1016/j.biombioe.2015.03.024).

Dee, J.R. and M. W. Palmer, 2019: Utility of herbaceous annual rings as markers of plant response to disturbance: A case study using roots of a common milkweed species of the US tallgrass prairieTree-Ring Research75(1), 14-24. (DOI: 10.3959/1536-1098-75.1.14).

DeLaune, P.B., P. Mubvumba, Y. Fan, and S. Bevers, 2020: Cover crop impact on irrigated cotton yield and net return in the southern Great PlainsAgronomy Journal112(2), 1049-1056. (DOI: 10.1002/agj2.20135).

DeLiberty, T. L., and D. R. Legates, 2003: Interannual and seasonal variability of modeled soil moisture in OklahomaInternational Journal of Climatology23, 1057-1086. (DOI: 10.1002/joc.904).

DeLiberty, T. L., D. R. Legates, 2008: Spatial Variability and Persistence of Soil Moisture in OklahomaPhysical Geography29, 121-139. (DOI: 10.2747/0272-3646.29.2.121).

Demoz, B. B., D. O. Starr, K. D. Evans, A. R. Lare, D. N. Whiteman, G. Schwemmer, R. A. Ferrare, J. E. M. Goldsmith, and S. E. B, 2005: The cold front of 15 April 1994 over the Central United States. Part I: ObservationsMon Wea. Rev.133 (6), 1525-1543. (DOI: 10.1175/MWR2932.1).

Dente, L., Z. Vekerdy, R. de Jeu, and Z. Su, 2013: Seasonality and autocorrelation of satellite-derived soil moisture productsIntl J. of Remote Sensing34:9-10, 3231-3247. (DOI: 10.1080/01431161.2012.716923).

Desai, A. R., K. J. Davis, C. J. Senff, S. Ismail, E. V. Browell, D. R. Stauffer, and B. P. Reen, 2005: A case study on the effects of heterogeneous soil moisture on mesoscale boundary-layer structure in the Southern Great Plains, U.S.A. Part I: Simple Prognostic ModelBoundary-Layer Meteorology119, 195-238. (DOI: 10.1007/s10546-005-9024-6).

DeSantis, R. D., S. W. Hallgren, T. B. Lynch, J. A. Burton, and M. W. Palmer, 2010: Long-term directional changes in upland Quercus forests throughout Oklahoma, USAJournal of Vegetation Science21, 606-618. (DOI: 10.1111/j.1654-1103.2010.01168.x).

DeSantis, R.D., and S.W. Hallgren, 2011: Prescribed burning frequency affects post oak and blackjack oak regenerationSouthern J. of Appl. Forestry35(4), 193-198.

Dhakal, K., V. G. Kakani, and E. Linde, 2018: Climate Change Impact on Wheat Production in the Southern Great Plains of the US Using Downscaled Climate DataAtmospheric and Climate Sciences8(02), 143. (DOI: 10.4236/acs.2018.82011).

Dhakal,K., V. Gopal Kakani, P. Wagle, and S. Sharma, 2022: Empirical Approach to Estimate Net Ecosystem Exchange Using High Frequency Mesonet Observations across Potential Switchgrass Establishment Landscapes in OklahomaAuthorea, , . (DOI: 10.1002/essoar.10508573.1).

Dhakal,K., V. Gopal Kakani, P. Wagle, and S. Sharma, 2023: Regional switchgrass carbon sequestration estimates from high-frequency eddy covariance and Mesonet observationsAgrosystems, Geosciences & Environment,6:e20328, 17 pp. (DOI: 10.1002/agg2.20328).

Dhillon, J. and W. Raun, 2020: Effect of topdress n rates applied based on growing degree days on winter wheat (Triticum aestivum L.) grain yieldAgron. J., , . (DOI: 10.1002/agj2.20265).

Dhillon, J.S., B.M. Figueiredo, E.M. Eickhoff, and W.R. Raun , 2020: Applied use of growing degree days to refine optimum times for nitrogen stress sensing in winter wheatSoil Fertility & Crop Nutrition, , 1-13. (DOI: 10.1002/agj2.20007).

Dick, C. D., N. M. Thompson, F. M. Epplin, and D. B. Arnall, 2016: Managing Late-Season Foliar Nitrogen Fertilization to Increase Grain Protein for Winter WheatAgronomy Journal108(6), 2329-2338. (DOI: 10.2134/agronj2016.02.0106).

Ding, Y., M. J. Hayes, and M. Widhalm, 2011: Measuring economic impacts of drought: A review and discussionDisaster Prevention and Management20(4), 434-446. (DOI: http://dx.doi.org/10.1108/09653561111161752).

Dipesh K. C., R. E. Will, T. C. Hennessey, T. B. Lynch, R. A. Heinemann, R. T. Holeman, and D. E. Wilson, 2015: Effects of simulated ice storm damage on midrotation loblolly pine standsForest Science61(4), 774-779. (DOI: 10.5849/forsci.14-060).

Dipesh, K. C., R. E. Will, T. C. Hennessey, and C. J. Penn, 2015: Evaluating performance of short-rotation woody crops for bioremediation purposesNew Forests46, 267-281. (DOI: 10.1007/s11056-014-9460-6).

Dodson, J.B., M. Colón Robles, J.E. Taylor, C.C. DeFontes, and K.L. Weaver, 2019: Eclipse Across America: Citizen Science Observations of the 21 August 2017 Total Solar EclipseJ. Appl. Meteor. Climatol., , 58 pp. (DOI: 10.1175/JAMC-D-18-0297.1).

Dong, H., S. Thames, L. Liu, M. W. Smith, L. Yan, and Y. Wu, 2015: QTL mapping for reproductive maturity in lowland switchgrass populationsBionergy Research8(4), 1925-1937. (DOI: 10.1007/s12155-015-9651-9).

Dong, J. and T. E. Ochsner, 2018: Soil Texture Often Exerts a Stronger Influence Than Precipitation on Mesoscale Soil Moisture PatternsWater Resources Research54, 2199-2211. (DOI: 10.1002/2017WR021692).

Dong, J., M. Ek, D. Hall, C. Peters-Lidard, B. Cosgrove, J. Miller, G. Riggs and Y. Xia, 2014: Using Air Temperature to Quantitatively Predict the MODIS Fractional Snow Cover Retrieval Errors over the Continental United StatesJ. of Hydromet.15, 551-562. (DOI: 10.1175/JHM-D-13-060.1).

Dong, J., M. Xue, and K. Droegemeier, 2011: The analysis and impact of simulated high-resolution surface observations in addition to radar data for convective storms with an ensemble Kalman filterMeteor. And Atmos. Phys.112 (1-2), 41-61. (DOI: 10.1007/s00703-011-0130-3).

Dong, J., S. C. Steele-Dunne, T. E. Ochsner, and N. van de Giesen, 2016: Estimating soil moisture and soil thermal and hydraulic properties by assimilating soil temperatures using a particle batch smootherAdvances in Water Resources91, 104-116. (DOI: 10.1016/j.advwatres.2016.03.008).

Dong, J., S. C. Steele-Dunne, T. E. Ochsner, and N. van de Giesen, 2016: Determining soil moisture and soil properties in vegetated areas by assimilating soil temperaturesWater Resour. Res.52, 4280-4300. (DOI: 10.1002/2015WR018425).

Dong, J., S. C. Steele-Dunne, T. E. Ochsner, C. E. Hatch, C. Sayde, J. Selker, S. Tyler, M. Cosh, and N. van de Giesen, 2016: Mapping high‐resolution soil moisture and properties using distributed temperature sensing data and an adaptive particle batch smootherWater Resour. Res.52, 7690-7710. (DOI: 10.1002/2016WR019031).

Dong, J., T. E. Ochsner, M. Zreda, M. H. Cosh, and C. B. Zou, 2014: Calibration and validation of the COSMOS Rover for surface soil moisture measurementVadose Zone Journal13(4), 8 pg. (DOI: 10.2136/vzj2013.08.0148).

Dong, X., B. Xi, A. Kennedy, Z. Feng, J.K. Entin, P.R. Houser, R.A. Schiffler, T. L’Ecuyer, W.S. Olsen, K. Hsu, W.T. Liu, et al, 2011: Investigation of the 2006 drought and 2007 flood extremes at the Southern Great Plains through an integrative analysis of observationsJ. of Geophys. Res.116, D03204. (DOI: 10.1029/2010JD014776).

Dorigo, W.A., A. Gruber, R. A. M. De Jeu, W. Wagner, T. Stacke, A. Loew, C. Albergel, L. Brocca, and coauthors, 2015: Evaluation of the ESA CCI soil moisture product using ground-based observationsRemote Sensing of Environments162, 380-95. (DOI: 10.1016/j.rse.2014.07.023).

Doswell III, C. A., H. E. Brooks, and M. P. Kay, 2005: Climatological estimates of daily local nontornadic severe thunderstorm probability for the United StatesWeather and Forecasting20(4), 577-595. (DOI: 10.1175/WAF866.1).

Doswell, C. A. III, and M. J. Haugland, 2007: A comparison of two cold fronts - Effects of the planetary boundary layer on the mesoscaleElectronic J. Severe Storms Meteor.2, 1-12.

Doughty, R., X. Xiao,, X. Wu,, Y. Zhang,, R. Bajgain,, Y. Zhou,, Y. Qin,, Z. Zou,, H. McCarthy,, J. Friedman, and P. Wagle, 2018: Responses of gross primary production of grasslands and croplands under drought, pluvial, and irrigation conditions during 2010–2016, Oklahoma, USAAgricultural Water Management204, 47-59. (DOI: 10.1016/j.agwat.2018.04.001).

Dowell, D.C., F. Zhang, L.J. Wicker, C. Snyder, and N.A. Crook, 2004: Wind and Temperature Retrievals in the 17 May 1981 Arcadia, Oklahoma, Supercell: Ensemble Kalman Filter ExperimentsMon. Wea. Rev.132, 1982-2005. (DOI: 10.1175/1520-0493(2004)132<1982:WATRIT>2.0.CO;2).

Dronyk-Trosper, T., and B. Stitzel, 2020: Analyzing the Effect of Mandatory Water Restrictions on Water Usagehe B.E. Journal of Economic Analysis & Policy20(2), 20190137, . (DOI: 10.1515/bejeap-2019-0137).

Drusch, M, 2007: Initializing numerical weather prediction models with satellite-derived surface soil moisture: Data assimilation experiments with ECMWF's Integrated Forecast System and the TMI soil moisture data setJ. Geophys. Res.112, D03102. (DOI:10.1029/2006JD007478).

Drusch, M, and P. Viterbo, 2007: Assimilation of Screen-Level Variables in ECMWF's Integrated Forecast System: A Study on the Impact on the Forecast Quality and Analyzed Soil MoistureMon Wea. Rev.135, 300-314. (DOI: 0.1175/MWR3309.1).

Drusch, M., E. F. Wood, and H. Gao, 2005: Observation operators for the direct assimilation of TRMM microwave imager retrieved soil moistureGeophysical Research Letters32, L15403. (DOI:10.1029/2005GL023623).

Drusch, M., E. F. Wood, and T. J. Jackson, 2001: Vegetative and atmospheric corrections for the soil moisture retrieval from passive microwave remote sensing data: Results from the Southern Great Plains Hydrology Experiment 1997J. Hydrometeorol.2, 181-192. (DOI: 10.1175/1525-7541(2001)002<0181:VAACFT>2.0.CO;2).

Dubois, J. A. and P. L. Spencer, 2005: Computing divergence from a surface network: Comparison of the triangle and pentagon methodsDubois, J. A., & Spencer, P. L. 20(4), 596-608. (DOI: 10.1175/WAF867.1).

Duchon, C. E., and G. R. Essenberg, 2001: Comparative rainfall observations from pit and aboveground rain gauges with and without wind shieldsWater Resour. Res.37, 3253-3264. (DOI: 10.1029/2001WR000541).

Duchon, C. E., and K. G. Hamm, 2006: Broadband Albedo Observations in the Southern Great PlainsJ. Appl. Meteor. Climatol.45, 210-235. (DOI: 10.1175/JAM2317.1).

Duchon, C. E., C. A. Fiebrich, and B. G. Illston, 2017: Observing the May 2015 Record Rainfall at Norman, Oklahoma, Using Various MethodsJournal of Hydrometeorology18:11, 3043-3049. (DOI: 10.1175/JHM-D-17-0137.1).

Duchon, C., C. Fiebrich, and D. Grimsley, 2014: Using High-Speed Photography to Study Undercatch in Tipping-Bucket Rain GaugesJ. Atmos. Oceanic Technol.31, 1330-1336. (DOI: 10.1175/JTECH-D-13-00169.1).

Duchon, C.E. and M.S. O’Malley, 1999: Estimating Cloud Type from Pyranometer ObservationsJ. Appl. Meteor.38, 132-141. (DOI: 10.1175/1520-0450(1999)038<0132:ECTFPO>2.0.CO;2).

Duda, J. D., X. Wang, and M. Xue, 2017: Sensitivity of Convection-Allowing Forecasts to Land Surface Model Perturbations and Implications for Ensemble DesignMon. Wea. Rev.145, 2001-2025. (DOI: 10.1175/MWR-D-16-0349.1).

Duda, J. D., X. Wang, F. Kong, and M. Xue, 2014: Using Varied Microphysics to Account for Uncertainty in Warm-Season QPF in a Convection-Allowing EnsembleMonthly Weather Review142, 2198-2219. (DOI: 10.1175/MWR-D-13-00297.1).

Duell, R. S., and M. S. Van Den Broeke, 2016: Climatology, Synoptic Conditions, and Misanalyses of Mississippi River Valley DrylinesMonthly Weather Review144(3), 927-943. (DOI: 10.1175/MWR-D-15-0108.1).

Dunford, N. T., and J. Edwards, 2010: Nutritional bioactive components of wheat straw as affected by genotype and environmentBioresource Technology101, 422-425. (DOI: 10.1016/j.biortech.2009.08.009).

Dunne, S., and D. Entekhabi, 2005: An ensemble-based reanalysis approach to land data assimilationWater Resources Research41, W02013. (DOI: 10.1029/2004WR003449).

Dvorett, D., C. Davis, and M. Pape, 2016: Mapping and Hydrologic Attribution of Temporary Wetlands Using Recurrent Landsat ImageryWetlands36, 431. (DOIL 10.1007/s13157-016-0752-9).

Dvorett, D., J. Bidwell, C. Davis, and C. DuBois, 2013: Assessing Natural and Anthropogenic Variability in Wetland Structure for Two Hydrogeomorphic Riverine Wetland SubclassesEnvironmental Management52(4), 1009-1022. (DOI: 10.1007/s00267-013-0140-7).

Edwards, J. T., B. F. Carver, and M. E. Payton, 2007: Relationship of first hollow stem and heading in wheatCrop Sci.47, 2074-2077. (DOI: 10.2135/cropsci2007.01.0057sc).

Edwards, R. and S.J. Hodanish, 2006: Photographic Documentation and Environmental Analysis of an Intense, Anticyclonic Supercell on the Colorado PlainsMon. Wea. Rev.134, 3753-3763. (DOI: 10.1175/MWR3296.1).

Edwards, R., J. T. Allen, and G. W. Carbin, 2018: Reliability and Climatological Impacts of Convective Wind EstimationsJ. of Appl. Met. and Clim.57, 1825-1845. (DOI: 10.1175/JAMC-D-17-0306.1).

Edwards, R., S. F. Corfidi, R. L. Thompson, J. S. Evans, J. P. Craven, J. P. Racy, D. W. McCarthy, and M. D. Vescio, 2002: Storm Prediction Center forecasting issues related to the 3 May 1999 tornado outbreakWea. Forecasting17, 544-558. (DOI: 10.1175/1520-0434(2002)017<0544:SPCFIR>2.0.CO;2).

Eguren, R. E., and K. McBee, 2013: New records of three species of bats from Nowata, Rogers, and Ottawa counties, OklahomaProc. Okla. Acad. Sci93, 13-18.

Ehardt-Kistenmacher, C., H.R. McCarthy, and J.P. Gibson, 2019: Germination, Survival, and Establishment of a Rare Riparian Species Alnus maritimaCastanea84(2), 144-160. (DOI: 10.2179/0008-7475.84.2.144).

Elbing, B. R., C. E. Petrin, and M. S. Van Den Broeke, 2019: Measurement and characterization of infrasound from a tornado producing stormJournal of the Acoustical Society of America146 (3), 1528-1540. (DOI: 10.1121/1.5124486).

Elbing, B.R., C.E. Petrin, and M.S. Van Den Broeke, 2018: Infrasound measurements from a tornado in OklahomaProc. Mtgs. Acoust.33, 045003. (DOI: 10.1121/2.0001015).

Elliott, R. L., F. V. Brock, M. L. Stone, and S. L. Harp, 1994: Configuration decisions for an automated weather station networkApplied Engineering in Agriculture10, 45-51.

Ellison, B., J. L. Lusk, and D. Davis, 2014: The effect of calorie labels on caloric intake and restaurant revenue: evidence from two full-service restaurantsJournal of Agricultural and Applied Economics46(2), 173-191. (DOI: 10.1017/S1074070800000729).

Elmore, K. L., and M. B. Richman, 2001: Euclidean distance as a similarity metric for principal component analysisMon Wea. Rev.129, 540-549. (DOI: 10.1175/1520-0493(2001)129<0540:EDAASM>2.0.CO;2).

Elston, J., B. Argrow, M. Stachura, D. Weibel, D. Lawrence, and D. Pope, 2015: Overview of Small Fixed-Wing Unmanned Aircraft for Meteorological SamplingJ. Atmos. and Ocean. Tech.32, 97-115. (DOI: 10.1175/JTECH-D-13-00236.1).

Endo, S., A. M. Frielind, W. Lind, A. M. Vogelmann, T. Toto, A. S. Ackerman, G. M. McFarquhar, R. C. Jackson, and coauthors, 2015: RACORO continental boundary layer cloud investigations: 2. Large-eddy simulations of cumulus clouds and evaluation with in-situ and ground-based observationsJournal of Geographysical Research: Atmospheres120(12), 5993-6014. (DOI: 10.1002/2014JD022525).

Engerer, N. A., D. J. Stensrud, and M. C. Coniglio, 2008: Surface Characteristics of Observed Cold PoolsMon Wea. Rev.136, 4839-4849. (DOI: 10.1175/2008MWR2528.1).

Enlow, H. K., G. A. Fox, T. A. Boyer, A. Stoecker, D. E. Storm, P. Starks and L. Guertault, 2018: A modeling framework for evaluating streambank stabilization practices for reach-scale sediment reductionEnvironmental Modelling & Software100, 201-212. (DOI: 10.1016/j.envsoft.2017.11.010).

Erlingis, J. M., and A. P. Barros, 2014: A Study of the Role of Daytime Land–Atmosphere Interactions on Nocturnal Convective Activity in the Southern Great Plains during CLASICJ. of Hydromet.15, 1932-1953. (DOI: 10.1175/JHM-D-14-0016.1).

Esterheld, J. M., and D. J. Giuliano, 2008: Discriminating between Tornadic and Non-Tornadic Supercells: A New Hodograph TechniqueE-Journal of Severe Storms Meteorology3, 1-50.

Estévez, J., P. Gavilán, and A. P. García-Marín, 2018: Spatial regression test for ensuring temperature data quality in southern SpainTheoretical and Applied Climatology131, 309-318. (DOI: 10.1007/s00704-016-1982-8).

Fan, J., B.Han, A. Varble, H. Morrison, K. North, P. Kollias, B. Chen, X. Dong, S. E. Giangrande, A. Khain, and Y. Lin, 2017: Cloud‐resolving model intercomparison of an MC3E squall line case: Part I—Convective updraftsJournal of Geophysical Research: Atmospheres122(17), 9351-9378. (DOI: 10.1002/2017JD026622).

Fang, B. and V. Lakshmi, 2014: Soil moisture at watershed scale: Remote sensing techniquesJournal of Hydrology516, 258-272. (DOI: 10.1016/j.jhydrol.2013.12.008).

Fang, B., V. Lakshmi, R. Bindlish, T. J. Jackson, M. Cosh, and J. Basara, 2013: Passive microwave soil moisture downscaling using vegetation index and skin surface temperatureVa12(3), . (DOI: 10.2136/vzj2013.05.0089).

Farahani, H.J., T. A. Howell, W. J. Shuttleworth, and W. C. Bausch, 2007: Evapotranspiration: progress in measurement and modeling in agricultureTransactions of the ASABE50(5), 1627-1638. (DOI: 10.13031/2013.23965).

Fast, J.D. L. K. Berg, Z. Feng, F. Mei, R. Newsom, K. Sakaguchi, and H. Xiao, 2019: The Impact of Variable Land-Atmosphere Coupling on Convective Cloud Populations Observed During the 2016 HI-SCALE Field CampaignJournal of Advances in Modeling Earth Systems, , 46 pp. (DOI: 10.1029/2019MS001727).

Fast, J.D., L.K. Berg, L. Alexander, D. Bell, E. D’Ambro, J. Hubbe, C. Kuang, J. Liu, C. Long, A. Matthews, F. Mei, et al., 2019: Overview of the HI-SCALE Field Campaign: A New Perspective on Shallow Convective CloudsBull. Amer. Meteor. Soc.100, 821-840. (DOI: 10.1175/BAMS-D-18-0030.1).

Feldman, T.S., M.R. Morsy, and M.J. Roossinick, 2012: Are communities of microbial symbionts more diverse than communities of macrobial hosts?Fungal Biology116(4), 465-477. (DOI: 10.1016/j.funbio.2012.01.005).

Feng, J. X. Cai, L. Chapman, Q. Wan, X. Xia, and Y. Gao, 2021: Characterising the nocturnal surface and canopy heat islands in Oklahoma City, USA according to the atmospheric stabilityUrban Climate40, . (DOI: 10.1016/j.uclim.2021.101008).

Feng, Z., X. Dong, B. Xi, C. Schumacher, P. Minnis, and M. Khaiyer, 2011: Top-of-atmosphere radiation budget of convective core/stratiform rain and anvil clouds from deep convective systemsJ. of Geophys. Res.116, D23202. (DOI: 10.1029/2011JD016451).

Ferraro, R., and Q. Li, 2002: Detailed analysis of the error associated with the rainfall retrieved by the NOAA/NESDIS Special Sensor Microwave/Imager algorithm 2. Rainfall over landJ. Geophys. Res.107, D23. (DOI: 10.1029/2001JD001172).

Fiebrich, C. A., 2003: Interesting ice accumulation on a cup anemometer during an Oklahoma ice stormBulletin of the American Meteorological Society84(5), 551-552.

Fiebrich, C. A., 2009: History of surface weather observations in the United StatesEarth-Science Reviews93(3-4), 77-84. (DOI: 10.1016/j.earscirev.2009.01.001).

Fiebrich, C. A., and K. C. Crawford, 2001: The impact of unique meteorological phenomena detected by the Oklahoma Mesonet and ARS Micronet on automated quality controlBull. Amer. Meteor. Soc.82, 2173-2187. (DOI: 10.1175/1520-0477(2001)082<2173:TIOUMP>2.3.CO;2).

Fiebrich, C. A., and K. C. Crawford, 2009: Automation: A Step toward Improving the Quality of Daily Temperature Data Produced by Climate Observing NetworksJ. Atmos. Oceanic Technol.26, 1246-1260. (DOI: 10.1175/2009JTECHA1241.1).

Fiebrich, C. A., C. R. Morgan, A. G. McCombs, P. K. Hall, and R. A. McPherson, 2010: Quality Assurance Procedures for Mesoscale Meteorological DataJournal of Atmospheric and Oceanic Technology27, 1565-1582. (DOI: 10.1175/2010JTECHA1433.1).

Fiebrich, C. A., D. L. Grimsley, R. A. McPherson, K. A. Kesler, and G. R. Essenberg, 2005: The value of routine site visits in managing and maintaining quality data from the Oklahoma MesonetJ. Atmos. Oceanic Technol.23, 406-416. (DOI: 10.1175/JTECH1852.1).

Fiebrich, C. A., J. E. Martinez, J. A. Brotzge, and J. B. Basara, 2003: The Oklahoma Mesonet's skin temperature networkJ. Atmos. Oceanic Technol.20, 1496-1504. (DOI: 10.1175/1520-0426(2003)020<1496:TOMSTN>2.0.CO;2).

Fiebrich, C.A., J.R. Ziolkowska, P.B. Chilson, and E.A. Pillar-Little, 2021: Potential Socio-Economic and Environmental Benefits and Beneficiaries of UAS Atmospheric Profiles from a 3D MesonetWeather, Climate, and Society, , . (DOI: 10.1175/WCAS-D-20-0118.1).

Fiebrich, C.A., K.R. Brinson; R. Mahmood; S.A. Foster; M. Schargorodski; N.L. Edwards; C.A. Redmond; J.R. Atkins, et al., 2020: Towards the Standardization of Mesoscale Meteorological NetworksJ. Atmos. Oceanic Technol. , , 57 pp. (DOI: 10.1175/JTECH-D-20-0078.1).

Fierro, A.O., E.R. Mansell, C.L. Ziegler, and D.R. McGorman, 2012: Application of a Lightning Data Assimilation Technique in the WRF-ARW Model at Cloud-Resolving Scales for the Tornado Outbreak of 24 May 2011Monthly Weat. Rev.140, 2609-2627. (DOI: 10.1175/MWR-D-11-00299.1).

Fieser, B. G., G. W. Horn, J. T. Edwards, and E. G. Krenzer, Jr., 2006: Timing of grazing termination in dual-purpose winter wheat enterprisesProf. Anim. Sci.22, 210-216. (DOI: 10.15232/S1080-7446(15)31096-2).

Figueiredo, B., J. Dhillon, E. Eickhoff, E. Nambi, and W. Raun, 2020: Value of composite Normalized Difference Vegetative Index and growing degree days data in Oklahoma, 1999 to 2018Agrosyst Geosci Environ3:e20013, . (DOI: 10.1002/agg2.20013).

Figueiredo, B., J. Dhillon, E. Eickhoff, E.Nambi and W. Raun, 2019: Value of composite NDVI and GDD data in Oklahoma, 1999 to 2018Agrosyst. Geosci. Environ., , . (DOI: 10.1002/agg2.20013).

Finch, B., V. Reed, J. Williams, R. Sharry, and D. Arnall, 2022: Impact of in-furrow fertilizer on winter wheat grain yield and mineral concentrationThe Journal of Agricultural Science, , 1-31. (DOI: 10.1017/S0021859622000557).

Fine, K. E., and J. C. Cole, 2013: Effect of Cottonseed Meal With or Without Soapstock, Canola Meal, or Urea on Soil Fertility and Growth of Marigold and RedbudJournal of Plant Nutrition36(13), 1982-1995. (DOI: 10.1080/01904167.2013.770022).

Fisher, B. L., 2004: Climatological validation of TRMM TMI and PR monthly rain products over OklahomaJ. Appl. Meteor.43, 519-535. (DOI: 10.1175/1520-0450(2004)043<0519:CVOTTA>2.0.CO;2).

Flanagan, P.X., J. B. Basara, B. G. Illston and J. Otkin, 2017: The Effect of the Dryline and Convective Initiation on Drought Evolution Over Oklahoma During the 2011 DroughtAdvances in Meteorology2017, 16 pgs. (DOI:10.1155/2017/8430743).

Flora, M.L., P.S. Skinner, C.K. Potvin, A.E. Reinhart, T.A. Jones, N. Yussouf, and K.H. Knopfmeier, 2019: Object-based verification of short-term, storm-scale probabilistic mesocyclone guidance from an experimentalWarn-on-Forecast systemWea. Forecasting, , 51 pp. (DOI: 10.1175/WAF-D-19-0094.1).

Flournoy, M.D. and M.C. Coniglio, 2019: Origins of Vorticity in a Simulated Tornadic Mesovortex Observed during PECAN on 6 July 2015Mon. Wea. Rev.147, 107-134. (DOI: 10.1175/MWR-D-18-0221.1).

Fogarty, D. T., R. D. Elmore, S. D. Fuhlendorf, and S. R. Loss, 2017: Influence of olfactory and visual cover on nest site selection and nest success for grassland-nesting birdsEcol Evol.2017;00, 1-12. (DOI: 10.1002/ece3.3195).

Fontanier, C., J. Moss, L. Gopinath, C. Goad, K. Su, and Y. Wu, 2020: Lipid Composition of Three Bermudagrasses in Response to Chilling StressJ. Amer. Soc. Hort. Sci., , 1-9. (DOI: 10.21273/JASHS04815-19).

Ford, T. and C. F. Labosier, 2014: Spatial patterns of drought persistence in the Southeastern United StatesInt. J. Climatol.34, 2229-2240. (DOI: 10.1002/joc.3833).

Ford, T. W., A. D. Rapp, and S. M. Quiring, 2014: Does Afternoon Precipitation Occur Preferentially Over Dry or Wet Soils in Oklahoma?J. of Hydromet.16, 874-888. (DOI: 10.1175/JHM-D-14-0005.1).

Ford, T. W., A. D. Rapp, S. M. Quiring, and J. Blake, 2015: Soil moisture–precipitation coupling: observations from the Oklahoma Mesonet and underlying physical mechanismsHydrol. Earth Syst. Sci.19, 3617-3631. (DOI: 10.5194/hess-19-3617-2015).

Ford, T. W., and S. M. Quiring, 2013: Influence of MODIS-Derived Dynamic Vegetation on VIC-simulated Soil Moisture in OklahomaJ. of Hydromet.14.6, 1910-1921. (DOI: 10.1175/JHM-D-13-037.1).

Ford, T. W., and S. M. Quiring, 2014: Comparison and application of multiple methods for temporal interpolation of daily soil moistureIntl. J. of Clim.34, 2604-2621. (DOI: 10.1002/joc.3862).

Ford, T. W., and S. M. Quiring, 2014: In situ soil moisture coupled with extreme temperatures: A study based on the Oklahoma MesonetGeophysical Research Letters41, 4727-4734. (DOI: 10.1002/2014GL060949).

Ford, T. W., and S.M. Quiring, 2019: Comparison of contemporary in situ, model, and satellite remote sensing soil moisture with a focus on drought monitoringWater Resources Research55, 1565– 1582. (DOI: 10.1029/2018WR024039).

Ford, T. W., C. O. Wulff, and S. M. Quiring, 2014: Assessment of observed and model‐derived soil moisture‐evaporative fraction relationships over the United States Southern Great PlainsJ. Geophys. Res. Atmos.119, 6279-6291. (DOI: 10.1002/2014JD021490).

Ford, T. W., D. B. McRoberts, S. M. Quiring, and R. E. Hall, 2015: On the utility of in situ soil moisture observations for flash drought early warning in Oklahoma, USAGeophysical Research Letters42(22), 9790-9798. (DOI: 10.1002/2015GL066600).

Ford, T. W., E. Harris, and S. M. Quiring, 2014: Estimating root zone soil moisture using near-surface observations from SMOSHydrol. Earth Syst. Sci.18, 139-154. (DOI: 10.5194/hess-18-139-2014).

Ford, T. W., Q. Wang, and S. M. Quiring, 2016: The Observation Record Length Necessary to Generate Robust Soil Moisture PercentilesJ. Appl. Metr. and Clim.55, 2131-2149. (DOI: 10.1175/JAMC-D-16-0143.1).

Ford, T. W., S. M. Quiring, and O. W. Frauenfeld, 2017: Multi‐decadal variability of soil moisture–temperature coupling over the contiguous United States modulated by Pacific and Atlantic sea surface temperaturesInt. J. Climatol.37, 1400-1415. (DOI: 10.1002/joc.4785).

Ford, T. W., S. M. Quiring, C. Zhao, Z. T. Leasor, and C. Landry, 2020: Triple Collocation Evaluation of In Situ Soil Moisture Observations from 1,200+ Stations as part of the U.S. National Soil Moisture NetworkJ. Hydrometeor., , . (DOI: 10.1175/JHM-D-20-0108.1).

Ford, T. W., S. M. Quiring, O. W. Frauenfeld, and A. D. Rapp, 2015: Synoptic conditions related to soil moisture-atmosphere interactions and unorganized convection in OklahomaJournal of Geophysical Research: Atmospheres120(11), 519-535. (DOI: 10.1002/2015JD023975).

Ford, T.W., S.M. Quiring, B.Thakur, R. Jogineedi, A. Houston, S. Yuan, A. Kalra, and N. Lock, 2018: Evaluating Soil Moisture–Precipitation Interactions Using Remote Sensing: A Sensitivity AnalysisJ. of. Hydromet.19, 1237-1253. (DOI: 10.1175/JHM-D-17-0243.1).

Forman, B. A., and S. A. Margulis, 2009: High-resolution satellite-based cloud-coupled estimates of total downwelling surface radiation for hydrologic modelling applicationsHydrol. Earth Syst. Sci. Discuss.6, 3041-3087.

Forman, B. A., and S. A. Margulis, 2010: Assimilation of multiresolution radiation products into a downwelling surface radiation model: 1. Prior ensemble implementationGeophys. Res.115, D22115. (DOI: 10.1029/2010JD013920).

Forman, B.A., and S.A. Margulis, 2012: Impact of Covariance Localization on Ensemble Estimation of Surface Downwelling Longwave and Shortwave Radiation FluxesJ. of Hydromet.13, 1301-1316. (DOI: 10.1175/JHM-D-11-073.1).

Foye, S., C. M. Greenwood, K. Masloski, and M. Payton, 2015: Ground-dwelling arthropod communities related to nesting success of northern bobwhite at two western Oklahoma wildlife management areasSouthwestern Entomologist40(3), 463-478.

Frame, J., P. Markowski, Y. Richardson, J. Straka, and J. Wurman, 2009: Polarimetric and Dual-Doppler Radar Observations of the Lipscomb County, Texas, Supercell Thunderstorm on 23 May 2002Mon Wea. Rev.137, 544-561. (DOI: 10.1175/2008MWR2425.1).

Frederick, N. M. Li, D. J. Carrier, M. D. Buser, and M. R. Wilkins, 2016: Switchgrass storage effects on the recovery of carbohydrates after liquid hot water pretreatment and enzymatic hydrolysisAIMS Bioengineering3(3), 389-399. (DOI: 10.3934/bioeng.2016.3.389).

Freiberger, R. P., D. M. Heeren, D. E. Eisenhauer, A.R. Mittlestet, and G. A. Baigorria, 2018: Tradeoffs in model performance and model effort for long-term phosphorus leaching based on in-situ field dataVadose Zone J.17:170216, 1-39. (DOI: 10.2136/vzj2017.12.0216).

French, M. M., D. W. Burgess, E. R. Mansell, and L. J. Wicker, 2014: Bulk Hook Echo Raindrop Sizes Retrieved Using Mobile, Polarimetric Doppler Radar ObservationsJ. Appl. Metr. and Clim.54, 423-450. (DOI: 10.1175/JAMC-D-14-0171.1).

Friedrich, K., D.E. Kingsmill, C. Flamant, H.V. Murphey, and R.M. Wakimoto, 2008: Kinematic and Moisture Characteristics of a Nonprecipitating Cold Front Observed during IHOP. Part I: Across-Front StructuresMon Wea. Rev.136, 147-172. (DOI: 10.1175/2008MWR2360.1).

Fu, X., L. Luo, M. Pan, Z. Yu, Y. Tang, and Y. Ding, 2018: Evaluation of Topmodel-based Land Surface-Atmosphere Transfer Scheme (TOPLATS) through a soil moisture simulationEarth Interact, , In Press. (DOI: 10.1175/EI-D-17-0037.1).

Fuhlendorf, S. D., D. M. Engle, C. M. O'Meilia, J. R. Weir, and D. C. Cummings, 2009: Does herbicide weed control increase livestock production on non-equilibrium rangeland?Agriculture, Ecosystems and Environment132, 1-6. (DOI: 10.1016/j.agee.2009.02.015).

Gagne, D. J., A. McGovern, J. B. Basara, and R .A. Brown, 2012: Tornadic Supercell Environments Analyzed Using Surface and Reanalysis Data: A Spatiotemporal Relational Data-Mining ApproachJ. Appl. Meteor. Climatol.51, 2203-2217. (DOI: 10.1175/JAMC-D-11-060.1).

Gagne, D. J., A. McGovern, S. E. Haupt and J. K. Williams, 2017: Evaluation of statistical learning configurations for gridded solar irradiance forecastingSolar Energy150, 383-393. (DOI: 10.1016/j.solener.2017.04.031).

Galantowicz, J. F., D. Entekhabi, and E. G. Njoku, 1999: Tests of sequential data assimilation for retrieving profile soil moisture and temperature from observed L-band radiobrightnessIEEE Transactions on Geoscience and Remote Sensing37, 1860-1870. (DOI: 10.1109/36.774699).

Galarneau, T.J., L.F. Bosart, C.A. Davis, and R. McTaggart-Cowan, 2009: Baroclinic Transition of a Long-Lived Mesoscale Convective VortexMon Wea. Rev.137, 562-584. (DOI: 10.1175/2008MWR2651.1).

Galbraith, H. S., D. E. Spooner, and C. C. Vaughn, 2010: Synergistic effects of regional climate patterns and local water management on freshwater mussel communitiesBiological Conservation143, 1175-1183. (DOI: 10.1016/j.biocon.2010.02.025).

Gallo, B. T., A.J. Clark, I. Jirak, J.S. Kain, S.J. Weiss, M. Coniglio, K. Knopfmeier, J. Correia, C.J. Melick, and Coauthors, 2017: Breaking New Ground in Severe Weather Prediction: The 2015 NOAA/Hazardous Weather Testbed Spring Forecasting ExperimentWea. Forecasting32, 1541–1568. (DOI: 10.1175/WAF-D-16-0178.1).

Galván, I. M., J. M. Valls, A. Cervantes, and R. Aler, 2017: Multi-objective evolutionary optimization of prediction intervals for solar energy forecasting with neural networksInformation Sciences418, 363-382. (DOI: 10.1016/j.ins.2017.08.039).

Gao, H., E. F. Wood, M. Drusch, W. Crow, and T. J. Jackson, 2004: Using a microwave emission model to estimate soil moisture from ESTAR observations during SGP99J. Hydrometeorol.5, 49-63. (DOI: 10.1175/1525-7541(2004)005<0049:UAMEMT>2.0.CO;2).

Gao, H., E. F. Wood, T. J. Jackson, M. Drusch, and R. Bindlish, 2006: Using TRMM/TMI to retrieve surface soil moisture over the Southern United States from 1998 to 2002J. Hydrometeor.7, 23-38. (DOI: 10.1175/JHM473.1).

Gao, W., R. L. Coulter, B. M. Lesht, J. Qiu, and M. L. Wesely, 1998: Estimating clear-sky regional surface fluxes in the Southern Great Plains Atmospheric Radiation Measurement site with ground measurements and satellite observationsJ. Appl. Meteor.37, 5-22. (DOI: 10.1175/1520-0450(1998)037<0005:ECSRSF>2.0.CO;2).

Garbrecht, J. D, R. Gyawali, R. W. Malone, and J. C. Zhang, 2017: Cascade Rainfall Disaggregation Application in U.S. Central PlainsEnvironment and Natural Resources Research7 (4), 30-43. (DOI: 10.5539/enrr.v7n4p30).

Garbrecht, J. D. and X. C. Zhang, 2015: Soil erosion from winter wheat cropland under climate change in central OklahomaApplied Engineering in Agriculture31(3), 439-454. (DOI: 10.13031/aca31.10998).

Garbrecht, J. D., M. A. Nearing, J. X. C. Zhang, and J. L. Steiner, 2016: Uncertainty of climate change impacts on soil erosion from cropland in central OklahomaApplied Engineering in Agriculture32(6), 823-836. (DOI: 10.13031/aea.32.11613).

Garbrecht, J. D., X. C. Zhang, and J. L. Steiner, 2014: Climate change and observed climate trends in the Fort Cobb experimental watershedJournal of Environmental Quality43(4), 1319-1327. (DOI: 10.2134/jeq2013.07.0286).

Garbrect, J. D. and J M. Schneider, 2008: Case study of multi-year precipitation variations and the hydrology of Fort Cobb reservoirJournal of Hydrolic Engineering13, 64-70. (DOI: 10.1061/(ASCE)1084-0699(2008)13:2(64)).

Gasperoni, N. A., M. Xue, R. D. Palmer, and J. Gao, 2013: Sensitivity of Convective Initiation Prediction to Near-Surface Moisture When Assimilating Radar Refractivity: Impact Tests Using OSSEsJ. Atmos. Oceanic Technol.30, 2281-2302. (DOI: doi.org/10.1175/JTECH-D-12-00038.1).

Gasperoni, N.A., X. Wang, K.A. Brewster, and F.H. Carr, 2018: Assessing Impacts of the High-Frequency Assimilation of Surface Observations for the Forecast of Convection Initiation on 3 April 2014 within the Dallas–Fort Worth Test BedMon. Wea. Rev.146, 3845-3872. (DOI: 10.1175/MWR-D-18-0177.1).

Ge, J., 2010: MODIS observed impacts of intensive agriculture on surface temperature in the southern Great PlainsInternational Journal of Climatology30, 1994-2003. (DOI: 10.1002/joc.2093).

Gebauer, J.G. and A. Shapiro, 2019: Clarifying the baroclinic contribution to the Great Plains low-level jet frequency maximumMon. Wea. Rev., , . (DOI: 10.1175/MWR-D-19-0024.1).

Geerts, B. R. Damiani, and S. Haimov, 2006: Finescale vertical structure of a cold front as revealed by an airborne Doppler radarMon Wea. Rev.134, 251-271. (DOI: 10.1175/MWR3056.1).

Genton, M. G., S. A. Padoan, and H. Sang, 2015: Multivariate max-stable spatial processesBiometrika102(1), 215-230. (DOI: 10.1093/biomet/asu066).

Georgakakos, K. P., and T. M. Carpenter, 2006: Potential value of operationally available and spatially distributed ensemble soil water estimates for agricultureJ. Hydrology328, 177-191. (DOI: 10.1016/j.jhydrol.2005.12.018).

George, A. D., T. J. O’Connell, K. R. Hickman, and D. M. Leslie Jr, 2013: Use of seeded exotic grasslands by wintering birdsPrairie Naturalist45, 77-83.

Ghaith, A. F., and F. M. Epplin, 2017: Consequences of a carbon tax on household electricity use and cost, carbon emissions, and economics of household solar and windEnergy Economics67, 159-168. (DOI: 10.1016/j.eneco.2017.08.012).

Ghaith, A. F., F. M. Epplin, and R. S. Frazier, 2017: Economics of grid-tied household solar panel systems versus grid-only electricityRenewable and Sustainable Energy Reviews76, 407-424. (DOI: 10.1016/j.rser.2017.02.079).

Ghaith, A. F., F. M. Epplin, and R. S. Frazier, 2017: Economics of household wind turbine grid-tied systems for five wind resource levels and alternative grid pricing ratesRenewable Energy109, 155-167. (DOI: 10.1016/j.renene.2017.03.033).

Ghan, S. J., J. C. Liljegren, W. J. Shaw, J. H. Hubbe, and J. C. Doran, 1997: Influence of subgrid variability on surface hydrologyJ. Climate10, 3157-3166. (DOI: 10.1175/1520-0442(1997)010<3157:IOSVOS>2.0.CO;2).

Ghan, S. J., L. R. Leung, and J. McCaan, 1999: A comparison of three different modeling strategies for evaluating cloud and radiation parameterizationsMon Wea. Rev.127, 1967-1984. (DOI: 10.1175/1520-0493(1999)127<1967:ACOTDM>2.0.CO;2).

Gharibdousti S.R., G. Kharel, and A. Stoecker, 2019: Modeling the impacts of agricultural best management practices on runoff, sediment, and crop yield in an agriculture-pasture intensive watershedPeerJ, , e7093. (DOI: 10.7717/peerj.7093).

Ghos, S., S.A. Ali, M. Zaman, et al. , 2021: Evaluation of Transverse Cracking in Flexible Pavements Using Field Investigation and AASHTOWare Pavement ME DesignInt. J. Pavement Res. Technol., , . (DOI: 10.1007/s42947-021-00037-x).

Giangrande, S. E. and A. V. Ryzhkov, 2008: Estimation of Rainfall Based on the Results of Polarimetric Echo ClassificationJ. Appl. Meteor. Climatol.47, 2445–2462. (DOI: 10.1175/2008JAMC1753.1 ).

Giangrande, S. E., S. Collis, A. K. Theisen, and A. Tokay, 2014: Precipitation estimation from the ARM distributed radar network during the MC3E campaignJ. Appl. Metr. and Clim.53(9), 2130-2147. (DOI: 10.1175/JAMC-D-13-0321.1).

Gillespie, C.J., D.A. Marburger, B.F. Carver, H. Zhang, 2020: Closely related winter wheat cultivar performance in U.S. Great Plains acid soilsAgronomy Journal112, 3704-3717. (DOI:10.1002/agj2.20329).

Gillham, O., 1997: Warnings, watches, and ... stench alerts? Meteorology and hog farming in OklahomaWeatherwise50, 66. (DOI: 10.1080/00431672.1997.9926070).

Gillum, S.J., and E. Levetin, 2008: The air spora close to a compost facility in Northeast Oklahoma: Part I—spore trap samplingAerobiologia24, 3-12. (DOI: 10.1007/s10453-007-9074-y).

Girma, K., S. L. Holtz, D. B. Arnall, L. M. Fultz, T. L. Hanks, K. D. Lawles, C. J. Mack, K. W. Owen, S. D. Reed, and Coauthors, 2007: Weather, Fertilizer, Previous Year Yield, and Fertilizer Levels Affect Ensuing Year Fertilizer Response of WheatAgron. J.99, 1607-1614. (DOI: 10.2134/agronj2007.0030).

Godfrey, C. M., and D. J. Stensrud, 2010: An Empirical Latent Heat Flux Parameterization for the Noah Land Surface ModelJournal of Applied Meteorology and Climatology49, 1696-1713. (DOI: 10.1175/2010JAMC2180.1).

Godfrey, C.M., and D.J. Stensrud, 2008: Soil Temperature and Moisture Errors in Operational Eta Model AnalysesJ. Hydrometeor.9, 367-387. (DOI: 10.1175/2007JHM942.1).

Godsey, C. B., J. Vitale, J. P. Damicone, J. R. Sholar, J. Nickels, and J. Baker, 2007: Rotational effects in Oklahoma peanut production: Prospects for peanut rotations in the post-quota eraAgron. J.99, 1238-1244. (DOI: 10.2134/agronj2006.0315).

Godsey, C.B., J. Linneman, D. Bellmer, and R. Huhnke, 2012: Developing Row Spacing and Planting Density Recommendations for Rainfed Sweet Sorghum Production in the Southern PlainsAgronomy Journal104 (2), 280-286. (DOI: 10.2134/agronj2011.0289).

Goldstein, J. C., and A. Tarhule, 2015: Evaluating the impacts of climate change and switchgrass production on a semiarid basinHydrol. Process.29, 724-738. (DOI: 10.1002/hyp.10159).

Gong, H. and C. L. Rogers, 2014: Does Voter Turnout Influence School Bond Elections?Southern Economic Journal81 (1), 247-262. (DOI: 10.4284/0038-4038-2013.061).

Gourley, J. J., and B. E. Vieux, 2005: A method for evaluating the accuracy of quantitative precipitation estimates from a hydrologic modeling perspectiveJ. Hydrometeor.6, 115-133. (DOI: 10.1175/JHM408.1).

Gourley, J. J., and B. E. Vieux, 2006: A method for identifying sources of model uncertainty in rainfall-runoff simulationsJ. Hydrology327, 68-80. (DOI: 10.1016/j.jhydrol.2005.11.036).

Gourley, J.J., Y. Hong, Z.L. Flamig, J. Wang, H. Vergara, and E.N. Anagnostou, 2011: Hydrologic Evaluation of Rainfall Estimates from Radar, Satellite, Gauge, and Combinations on Ft. Cobb Basin, OklahomaJ. Hydrometeor12, 973-988. (DOI: 10.1175/2011JHM1287.1).

Gouweleeuw, B.T., A.I.J.M. van Dijk, J.P. Guerschmann, P. Dyce, and M. Owe, 2012: Space-based passive microwave soil moisture retrievals and the correction for a dynamic open water fractionHydrol. Earth Syst. Sci.16, 1635-1645. (DOI: 10.5194/hess-16-1635-2012).

Gouzaye, A. and F. M. Epplin, 2016: Land requirements, feedstock haul distance, and expected profit response to land use restrictions for switchgrass productionEnergy Economics58, 59-66. (DOI: 10.1016/j.eneco.2016.06.019).

Gouzaye, A. and F. M. Epplin, 2016: Restricting Second-Generation Energy Crop Production to Marginal LandBioEnergy Research9(1), 257-269. (DOI: 10.1007/s12155-015-9689-8).

Grantham, R. A., P. G. Mulder, G. W. Cuperus, and J. D. Carlson, 2002: Evaluation of pecan nut casebearer Acrobasis nuxvorella (Lepidoptera: Pyralidae) prediction models using pheromone trappingEnviron. Entomol.31, 1062-1070. (DOI: 10.1603/0046-225X-31.6.1062).

Grassotti, C., R. N. Hoffman, E. R. Vivoni, and D. Entekhabi, 2003: Multiple-Timescale Intercomparison of Two Radar Products and Rain Gauge Observations over the Arkansas–Red River BasinWea. Forecasting18, 1207-1229. (DOI: 10.1175/1520-0434(2003)018<1207:MIOTRP>2.0.CO;2).

Graves, G.M., J.R. Vogel, and R.S. Tanner, 2023: Investigation of environmental factors on Enterococcus survival in Oklahoma streamsAquatic Sciences85 (34). (DOI: 10.1007/s00027-023-00933-3).

Graybeal, D.Y., A.T. DeGaetano, and K.L. Eggleston, 2004: Improved Quality Assurance for Historical Hourly Temperature and Humidity: Development and Application to Environmental AnalysisJ. Appl. Meteor.43, 1722-1735. (DOI: 10.1175/JAM2162.1).

Greene, B. R., A. R. Segales, S. Waugh, S. Duthoit, and P. B. Chilson, 2018: Considerations for temperature sensor placement on rotary-wing unmanned aircraft systemsAtmospheric Measurement Techniques11, 5519-5530. (DOI: 10.5194/amt-11-5519-2018).

Greene, B.R., A.R. Segales, T.M. Bell, E.A. Pillar-Little, and P.B. Chilson, 2019: Environmental and sensor integration influences on temperature measurements by rotary-wing unmanned aircraft systemsSensor19(6), 1470. (DOI: 10.3390/s19061470).

Greene, J. S., and E. Maxwell, 2007: Climatic impacts on winter wheat in Oklahoma and potential applications to climatic and crop yield predictionInternational Journal of Biometeorology52, 117-126. (DOI: 10.1007/s00484-007-0104-9).

Greene, J. S., W. E. Cook, D. Knapp, and P. Haines, 2002: An examination of the uncertainty in interpolated winds and its effect on the validation and intercomparison of forecast modelsJ. Atmos. Oceanic Technol.19, 397-401. (DOI: 10.1175/1520-0426-19.3.397).

Griffin, A., B. Hoagland, and K. Kuklinski, 2020: Relationship Between Water Quality and Relative Weight of Four Sportfish Species in Oklahoma ImpoundmentsJournal of the Southeastern Association of Fish and Wildlife Agencies7, 134–143.

Griffin, A.D., R.A. Snow, and M.J. Porta, 2021: Population characteristics and potential factors influencing recruitment variability of blue catfish, channel catfish and flathead catfish in Thunderbird Reservoir, OklahomaLakes and Reservoirs, , 11 pp. (DOI: 10.1111/lre.12390).

Griffin, E. M., T. J. Schuur, D. R. MacGorman, M. R. Kumjian, and A. O. Fierro, 2014: An electrical and polarimetric analysis of the overland reintensification of Tropical Storm Erin (2007)Monthly Weather Review142, 2321-2344. (DOI: 10.1175/MWR-D-13-00360.1).

Griffith, A.P., F.M. Epplin, S.D. Fuhlendorf, and R. Gillen, 2011: A Comparison of Perennial Polycultures and Monocultures for Producing Biomass for Biorefinery FeedstockAgronomy Journal103(3), 617-627. (DOI: 10.2134/agronj2010.0336).

Gu, Y., E. Hunt, B. Wardlow, J. B. Basara, J. F. Brown, and J. P. Verdin, 2008: Evaluation and validation of MODIS NDVI and NDWI for vegetation drought monitoring using Oklahoma Mesonet soil moisture dataGeophys. Res. Lett.35, L22401. (DOI: 10.1029/2008GL035772).

Guertault, L. and G.A. Fox, 2018: Impact of data availability and resolution on long-term sedimentation estimates in a storage reservoirJournal of Hydrologic Engineering23(10), p.05018019. (DOI: 10.1061/%28ASCE%29HE.1943-5584.0001699).

Guo X, Zhou, L.Hale, M. Yuan, J. Feng, Ning, Z.Shi, Y. Qin, F. Liu, L. Wu, Z. He, J.D. Van Nostrand, X.Liu, Y.Luo, and Coauthors, 2018: Taxonomic and Functional Responses of Soil Microbial Communities to Annual Removal of Aboveground Plant BiomassFront. Microbiol.9:954, . (DOI: 10.3389/fmicb.2018.00954).

Guo, X., Gao, Q., Yuan, M. et al., 2020: Gene-informed decomposition model predicts lower soil carbon loss due to persistent microbial adaptation to warmingNat Commun.11, 4897. (DOI: 10.1038/s41467-020-18706-z).

Guo, Y. R., Y. H. Kuo, J. Dudhia, D. Parsons, and C. Rocken, 2000: Four-dimensional variational data assimilation of heterogeneous mesoscale observations for a strong convective caseMon Wea. Rev.128, 619-643. (DOI: 10.1175/1520-0493(2000)128<0619:FDVDAO>2.0.CO;2).

Guretzky, J., M. Kering, J. Mosali, E. Funderburg, and J. Biermacher, 2010: Fertilizer rate effects on forage yields stability and nutrient uptake of midland bermudagrassJournal of Plant Nutrition33, 1819-1834. (DOI: 10.1080/01904167.2010.503831).

Gurjinder S.B., B.K. Northup, C.R. Srinivas, and V.G. Kakani,, 2021: Productivity and water use in intensified forage soybean-wheat cropping systems of the US southern Great PlainsField Crops Research265, . (DOI: 10.1016/j.fcr.2021.108086).

Gusev, E. M., O. N. Nasonova, and B. P. Mohanty, 2004: Estimation of radiation, heat, and water exchange between steppe ecosystems and the atmosphere in the SWAP modelIzvestiyaAtmospheric and Oceanic Physics40, 291-305.

Guzman, J. A., D. N. Moriasi, P. H. Gowda, J. L. Steiner, P. J. Starks, J. G. Arnold, and R. Srinivasan, 2015: A model integration framework for linking SWAT and MODFLOWEnvironmental Modelling & Software73, 103-116. (DOI: 10.1016/j.envsoft.2015.08.011).

Guzman, J. A., M. L. Chu, J. L. Steiner, and P. J. Starks, 2018: Assessing and quantifying changes in precipitation patterns using event-driven analysisJournal of Hydrology: Regional Studies15, 1-15. (DOI: 10.1016/j.ejrh.2017.11.006).

Guzman, J.A., M. L. Chu, P. J. Starks, D. N. Moriasi, D. N., J. L. Steiner, C. A. Fiebrich, and A. G. McCombs, 2014: Upper Washita River experimental watersheds: Data screening procedure for data quality assuranceJournal of Environmental Quality43(4), 1250-1261. (DOI: 10.2134/jeq2013.08.0325).

Haankuku, C., F. M. Epplin, and V. G. Kakani, 2015: Industrial sugar beets to biofuel: Field to fuel production system and cost estimatesBiomass and Bioenergy80, 267-277. (DOI: 10.1016/j.biombioe.2015.05.027).

Haghi, K. R., D. B. Parsons, and A. Shapiro, 2017: Bores Observed during IHOP_2002: The Relationship of Bores to the Nocturnal EnvironmentMon. Wea. Rev.145, 3929-3946. (DOI: 10.1175/MWR-D-16-0415.1).

Hain, C. R., J. R. Mecikalski, and M. C. Anderson, 2009: Retrieval of an Available Water-Based Soil Moisture Proxy from Thermal Infrared Remote Sensing. Part I: Methodology and ValidationJ. Hydrometeor.10, 665-683. (DOI: 10.1175/2008JHM1024.1).

hakal, K, V.G. Kakani, T.E. Ochsner, and S. Sharma, 2020: Constructing retrospective gridded daily weather data for agro‐hydrological applications in OklahomaAgrosyst Geosci Environ.3:e20072, . (DOI: 10.1002/agg2.20072).

Hale, R. C., and C. E. Duchon, 2003: Use of AVHRR-derived surface temperatures in evaluating a land-atmosphere modelInternational Journal of Remote Sensing224, 4527-4541. (DOI: 10.1080/0143116031000070391).

Halihan, T., R. B. Miller, D. Correll, D. M. Heeren, and G. A. Fox, 2019: Field Evidence of a Natural Capillary Barrier in a Gravel Alluvial AquiferVadose Zone Journal, , . (DOI: 10.2136/vzj2018.01.0008).

Hand, L. M. and J. M. Shepherd, 2009: An Investigation of Warm-Season Spatial Rainfall Variability in Oklahoma City: Possible Linkages to Urbanization and Prevailing WindJ. Appl. Meteor. Climatol.48, 251-269. (DOI: 10.1175/2008JAMC2036.1).

Harrelson, P.L., R. Martin, B. Rogers, and F.W. Harrelson, 2020: Impact of a Hydrolyzed Yeast Product on Performance, Hair Coat Shedding, and Behavior of Cows Grazing Pastures Containing Endophyte-Infected Tall FescueJournal of Animal Science98 (2), 63. (DOI: 10.1093/jas/skz397.144).

Harris, T. A, J. B. Tapp, and K. L. Sublette, 2005: Remediation of oil-field brine-impacted soil using a subsurface drainage system and hayEnvironmental Geosciences12, 101-113. (DOI: 10.1306/eg.11160404041).

Hartung, D. C., J. A. Otkin, J. E. Martin, and D. D. Turner, 2010: The Life Cycle of an Undular Bore and Its Interaction with a Shallow, Intense Cold FrontMonthly Weather Review138, 886-908. (DOI: 10.1175/2009MWR3028.1).

Haugland, M. J., and K. C. Crawford, 2005: The diurnal cycle of land-atmosphere interactions across Oklahoma's winter wheat beltMon Wea. Rev.133, 120-130. (DOI: 10.1175/MWR-2842.1).

Hayes, T. , L. Song, M. Dawson, and A. Chancellor, 2012: Heat Balance Analysis to Validate the Heat Dissipation Rate of a Man-Made Lake as a Heat Rejection Device in a Power PlantIntl. J. of Renewable Energy Res.2(1), 78-83.

Hazra, A., V. Maggioni, P. Houser, H. Antil, and M. Noonan, 2019: A Monte Carlo-based multi-objective optimization approach to merge different precipitation estimates for land surface modelingJournal of Hydrology570, 454-462. (DOI: 10.1016/j.jhydrol.2018.12.039).

He, J., H. Xin, Y. Wang, and J.A.F.O. Correia, 2021: Effect of temperature loading on the performance of a prestressed concrete bridge in Oklahoma: Probabilistic modellingStructures34, 1429-1442. (DOI: 10.1016/j.istruc.2021.08.007).

Heinselman, P. L., B. L. Cheong, R. D. Palmer, D. Bodine, and K. Hondl, 2009: Radar Refractivity Retrievals in Oklahoma: Insights into Operational Benefits and LimitationsWea. Forecasting24, 1345-1361. (DOI: 10.1175/2009WAF2222256.1).

Hemingway, B. L., A. E. Frazier, B. R. Elbing, and J. D. Jacob, 2017: Vertical Sampling Scales for Atmospheric Boundary Layer Measurements from Small Unmanned Aircraft Systems (sUAS)Atmosphere8(9), 176. (DOI: 10.3390/atmos8090176).

Hering A.S., and M.G. Genton, 2011: Comparing Spatial PredictionsTechnometrics53(4), 414-425. (DOI: 10.1198/TECH.2011.10136).

Hill, P. S. M., J. P. H. H. Deere, J. Fancher, D. R. Howard, J. B. Tapp , 2009: Burrow Aggregation of Prairie Mole Cricket, Gryllotalpa major Saussure (Orthoptera: Gryllotalpidae) Males is Not Based on Soil Microhabitat Constraints at Lek Sites in OklahomaJournal of the Kansas Entomological Society82, 122-134. (DOI: 10.2317/JKES503.21.1).

Hirabayashi, Y., T. Oki, S. Kanae, and K. Musiake, 2003: Application of satellite-derived surface soil moisture data to simulating seasonal precipitation by a simple soil moisture transfer methodJ. Hydrometeorol.4, 929-943. (DOI: 10.1175/1525-7541(2003)004<0929:AOSSSM>2.0.CO;2).

Hitchcock, S. M., M. C. Coniglio, and K. H. Knopfmeier, 2016: Impact of MPEX upsonde observations on ensemble analyses and forecasts of the 31 May 2013 convective event over OklahomaMonthly Weather Review144, 2889-2913. (DOI: 10.1175/MWR-D-15-0344.1).

Hocker, J. E., A. D. Melvin, K. A. Kloesel, C. A. Fiebrich, R. W. Hill, R. D. Smith, and S. F. Piltz, 2018: The Evolution and Impact of a Meteorological Outreach Program for Public Safety Officials: An Update on the Oklahoma Mesonet’s OK-First ProgramBulletin of the American Meteorological Society99(10), 2009-2024. (DOI: 10.1175/BAMS-D-17-0100.1).

Holcomb, E. D., C. A. Davis, and S. D. Fuhlendorf, 2014: Patch‐burn management: Implications for conservation of avian communities in fire‐dependent sagebrush ecosystemsJournal of Wildlife Management78, 848-856. (DOI: 10.1002/jwmg.723).

Holmes, T.R.H., T.J. Jackson, R.H. Reichle, and J.B. Basara, 2012: An assessment of surface soil temperature products from numerical weather prediction models using ground-based measurementsWater Resources Res.48, W02531. (DOI: 10.1029/2011WR010538).

Holmes, T.R.H., W.T. Crow, M.T. Yilmaz, T.J. Jackson, and J.B. Basara, 2013: Enhancing model based land surface temperature estimates using multiplatform microwave observationsJ. of Geo. Res: Atmos.118, 577-591. (DOI: 10.1002/jgrd.50113).

Holt, T. R., D. Niyogi, F. Chen, K. Manning, and M. LeMone, 2006: Effect of land-atmosphere interactions on the IHOP 24-25 May 2002 convection caseMon Wea. Rev.134, 113-133. (DOI: 10.1175/MWR3057.1).

Homeyer, C. R., L. L. Pan, S. W. Dorsi, L. M. Avallone, A. J. Weinheimer, A. S. O'Brien, J. P. DiGangi, M. A. Zondlo, T. B. Ryer, 2014: Convective transport of water vapor into the lower stratosphere observed during double‐tropopause eventsJ. Geophys. Res. Atmos.19, 10941-10958. (DOI: 10.1002/2014JD021485).

Hong, S., and E. Kalnay, 2002: The 1998 Oklahoma-Texas drought: Mechanistic experiments with NCEP global and regional modelsJ. Climate15, 945-963. (DOI: 10.1175/1520-0442(2002)015<0945:TOTDME>2.0.CO;2).

Hong, S., and I. Shin, 2011: A physically-based inversion algorithm for retrieving soil moisture in passive microwave remote sensingJ. of Hydro1-2, 24-30. (DOI: 10.1016/j.jhydrol.2011.05.005).

Horel, J., M. Splitt, L. Dunn, J. Pechmann, B. White, C. Ciliberti, S. Lazarus, J. Slemmer, D. Zaff, and J. Burks, 2002: MESOWEST: COOPERATIVE MESONETS IN THE WESTERN UNITED STATESBull. Amer. Meteor. Soc.83, 211-226. (DOI: 10.1175/1520-0477(2002)083<0211:MCMITW>2.3.CO;2).

Hossain, F. and E. N. Anagostou, 2005: Using a multi-dimensional satellite rainfall error model to characterize uncertainty in soil moisture fields simulated by an offline land surface modelGeophysical Research Letters32, L15402. (DOI: 10.1029/2005GL023122).

Hossain, F., and E. N. Anagnostou, 2005: Numerical investigation of the impact of uncertainties in satellite rainfall estimation and land surface model parameters on simulation of soil moistureAdvances in Water Resources28, 1336-1350. (DOI: 10.1016/j.advwatres.2005.03.013).

Houser, J.L., and H.B. Bluestein, 2011: Polarimetric Doppler Radar Observations of Kelvin–Helmholtz Waves in a Winter StormJ. Atmos. Sci68, 1676-1702. (DOI: 10.1175/2011JAS3566.1).

Hovick, T. J., R. D. Elmore, B. W. Allred, S. D. Fuhlendorf, and D. K. Dahlgren, 2014: Landscapes as a moderator of thermal extremes: a case study from an imperiled grouseEcosphere53(3), 35. (DOI: 10.1890/ES13-00340.1).

Hovick, T. J., R. D. Elmore, S. D. Fuhlendorf, and D. K. Dahlgren, 2015: Weather constrains the influence of fire and grazing on nesting greater prairie-chickensRangeland Ecology & Management68(2), 186-193. (DOI: 10.1016/j.rama.2015.01.009).

Hu, J., Gao, J., Wang, Y., Pan, S., Fierro, A.O., Skinner, P.S., Knopfmeier, K., Mansell, E.R., and Heinselman, P.L., 2021: Evaluation of an Experimental Warn-on-Forecast 3DVAR analysis and forecast system on quasi-real-time short-term forecasts of high-impact weather eventsQuarterly Journal or the Royal Meteorological Society, , . (DOI: 10.1002/qj.4168).

Hu, J., N. Yussouf, D.D. Turner, T.A. Jones, and X. Wang, 2019: Impact of Ground-based Remote Sensing Boundary Layer Observations on Short-term Probabilistic Forecasts of a Tornadic Supercell EventWea. Forecasting, , 57 pp. (DOI: 10.1175/WAF-D-18-0200.1).

Hu, M., and M. Xue, 2007: Impact of configurations of rapid intermittent assimilation of WSR-88D radar data for the 8 May 2003 Oklahoma City tornadic thunderstorm caseMon. Wea. Rev.135, 507-525. (DOI: 10.1175/MWR3313.1).

Hu, M., M. Xue, and K. Brewster, 2006: 3DVAR and cloud analysis with WSR-88D Level-II data for the prediction of the Fort Worth tornadic thunderstorms. Part I: Cloud analysis and its impactMon Wea. Rev.134, 675-698. (DOI: 10.1175/MWR3092.1).

Hu, M., M. Xue, J. Gao, and K. Brewster, 2006: 3DVAR and cloud analysis with WSR-88D Level-II data for the prediction of the Fort Worth tornadic thunderstorms. Part II: Impact of radial velocity analysis via 3DVARMon Wea. Rev.134, 699-721. (DOI: 10.1175/MWR3093.1).

Hu, X. M., and M. Xue, 2016: Influence of Synoptic Sea-Breeze Fronts on the Urban Heat Island Intensity in Dallas–Fort Worth, TexasMonthly Weather Review144, 1487-1507. (DOI: 10.1175/MWR-D-15-0201.1).

Hu, X. M., P. M. Klein, and M. Xue, 2013: Evaluation of the Updated YSU Planetary Boundary Layer Scheme Within WRF for Wind Resource and Air Quality AssessmentsJ. Geophys. Res. Atmos.118, 10,490-10,505. (DOI: 10.1002/jgrd.50823).

Hu, X. M., P. M. Klein, M. Xue, J. K. Lundquist, F. Zhang, and Y. Qi, 2013: Impact of Low-Level Jets on the Nocturnal Urban Heat Island Intensity in Oklahoma CityJ. Appl. Metr. and Clim.52, 1779-1802. (DOI: 10.1175/JAMC-D-12-0256.1).

Hu, X., J. Park, T. Supinie, N.A. Snook, M. Xue, K.A. Brewster, J. Brotzge, and J.R. Carley, 2022: Diagnosing Near-Surface Model Errors with Candidate Physics Parameterization Schemes for Multi-Physics Rapid Refresh Forecast System (RRFS) Ensemble during Winter over the Northeastern US and Southern Great PlainsMonthly Weather Review, , . (DOI: 10.1175/MWR-D-22-0085.1).

Hu, X., M. Xue, P.M. Klein, B.G. Illston, and S. Chen, 2016: Analysis of Urban Effects in Oklahoma City using a Dense Surface Observing NetworkJ. Appl. Meteor. Climatol.55, 723-741. (DOI: 10.1175/JAMC-D-15-0206.1).

Hu, X.M., P.M. Klein, M. Xue, A. Shapiro, and A. Nallapareddy, 2013: Enhanced vertical mixing associated with a nocturnal cold front passage and its impact on near surface temperature and ozone concentrationJ. of Geo. Res. Atmos.118, 2714-2728. (DOI: 10.1002/jgrd.50309).

Hubbe, J. M., J. C. Doran, J. C. Liljegren, and W. J. Shaw, 1997: Observations of spatial variations of boundary layer structure over the Southern Great Plains Cloud and Radiation TestbedJ. Appl. Meteor.36, 1221-1231. (DOI: 10.1175/1520-0450(1997)036<1221:OOSVOB>2.0.CO;2).

Huffman G. J., R. F. Adler, M. M. Morrissey, D. T. Bolvin, S. Curtis, R. Joyce, B. McGavock, and J. Susskind, 2001: Global precipitation at one-degree daily resolution from multisatellite observationsJ. Hydrometeorol.2, 36-50. (DOI: 10.1175/1525-7541(2001)002<0036:GPAODD>2.0.CO;2).

Huhnke, R. L., L. C. McCowan, G. M. Meraz, S. L. Harp, and M. E. Payton, 2004: Using evaporative cooling to reduce the frequency and duration of elevated temperature humidity indices in OklahomaApplied Engineering in Agriculture20, 95-99.

Hunt, E., J. B. Basara, and C. Morgan, 2007: Significant inversions and rapid in-situ cooling at a well-sited Oklahoma Mesonet stationJ. Appl. Meteor.46, 353-367. (DOI: 10.1175/JAM2467.1).

Hupsel de Azevedo, G.B., B. Doyle, C.A. Fiebrich, and D. Schvartzman, 2022: Low-complexity methods to mitigate the impact of environmental variables on low-cost UAS-based atmospheric carbon dioxide measurementsAtmos. Meas. Tech.15, 5599–5618. (DOI: 10.5194/amt-15-5599-2022).

Husain, S. Z., S. Bélair, and S. Leroyer, 2014: Influence of soil moisture on urban microclimate and surface-layer meteorology in Oklahoma CityJ. Appl. Metr. and Clim.53, 83-98. (DOI: 10.1175/JAMC-D-13-0156.1).

Husain, S. Z., S. Belair, J. Mailhot, and S. Leroyer, 2013: Improving the Representation of the Nocturnal Near-Neutral Surface Layer in the Urban Environment with a Mesoscale Atmospheric ModelBoundary-Layer Meteorology147 (3), 525-551. (DOI: 10.1007/s10546-013-9798-x).

Husz, T.C., C.L. Goad, and R.R. Reuter, 2020: Competition at an automated supplement feeder affects supplement intake and behavior of beef stocker steersApplied Animal Science36 (6), 868-876. (DOI: 10.15232/aas.2020-01991).

Hutchinson, T. A., and H. B. Bluestein, 1998: Prefrontal wind-shift lines in the plains of the United StatesMon Wea. Rev.126, 141-166. (DOI: 10.1175/1520-0493(1998)126<0141:PWSLIT>2.0.CO;2).

Hutson, A., C. Weiss, and G. Bryan, 2019: Using the Translation Speed and Vertical Structure of Gust Fronts to Infer Buoyancy Deficits within Thunderstorm OutflowMon. Wea. Rev., , 50 pp. (DOI: 10.1175/MWR-D-18-0439.1).

Hwang, S., F. M. Epplin, B Lee, and R. Huhnke, 2009: A probabilistic estimate of the frequency of mowing and baling days available in Oklahoma USA for the harvest of switchgrass for use in biorefineriesBiomass and Energy33, 1037-1045. (DOI: 10.1016/j.biombioe.2009.03.003).

Iacobellis, S. F., G. M. McFarquhar, D. L. Mitchell, and R. C. J. Somerville, 2003: The sensitivity of radiative fluxes to parameterized cloud microphysicsJ. Climate16, 2979-2996. (DOI: 10.1175/1520-0442(2003)016<2979:TSORFT>2.0.CO;2).

Illston, B. G. and C. A. Fiebrich, 2017: Horizontal and vertical variability of observed soil temperaturesGeosci. Data J.4, 40-46. (DOI: 10.1002/gdj3.47).

Illston, B. G., and J. B. Basara, 2003: Analysis of short-term droughts in OklahomaEOS Transactions84, 1-2. (DOI: 10.1029/2003EO170001).

Illston, B. G., J. B. Basara, and K. C. Crawford, 2004: Seasonal to interannual variations of soil moisture measured in Oklahoma, IntJ. Climatol.24, 1883 - 1896. (DOI: 10.1002/joc.1077).

Illston, B.G., C.A. Fiebrich, D.L. Grimsley and J.B. Basara, 2013: Evaluation of a Heat Dissipation Sensor for In Situ Measurement of Soil TemperatureSoil Science Society of America Journal77 (3), 741-747. (DOI: 10.2136/sssaj2012.0189).

Illston, B.G., J.B. Basara, D.K. Fisher, R.L. Elliott, C. Fiebrich, K.C. Crawford, K. Humes, and E. Hunt, 2008: Mesoscale Monitoring of Soil Moisture Across a Statewide NetworkJ. of Atmos. and Oceanic Tech25, 167-182. (DOI: 10.1175/2007JTECHA993.1).

Ines, A. V. M., and B. P. Mohanty, 2008: Near-surface soil moisture assimilation for quantifying effective soil hydraulic properties under different hydroclimatic conditionsVadose Zone Journal7, 39-52. (DOI: 10.2136/vzj2007.0048).

Interrante, S. M., D. Hancock, and T. J. Butler, 2015: Switchgrass Establishment and Biomass Yield Responses to Fungicide and Insecticide Seed TreatmentsCrop, Forage and Turfgrass Management1(1), 6 pg. (DOI: 10.2134/cftm2014.0041).

Islam, Z., and T. Y. Gan, 2015: Hydrologic Modeling of the Blue River Basin Using NEXRAD Precipitation Data with a Semidistributed and a Fully Distributed ModelJournal of Hydrologic Engineering20(10), 9 pg. (DOI: 10.1061/(ASCE)HE.1943-5584.0001179).

Itenfisu, D., R. L. Elliott, R. G. Allen, and I. A. Walter, 2003: Comparison of reference evapotranspiration calculations as part of the ASCE standardization effortJ. Irrigation and Drainage Engineering129, 1-9. (DOI: 10.1061/(ASCE)0733-9437(2003)129:6(440)).

Jackson, T. J., 2003: Multiple resolution analysis of L-band brightness temperature for soil moistureIEEE Transactions on Geoscience and Remote Sensing39, 151-164. (DOI: 10.1109/36.898677).

Jackson, T. J. , A. Y. Hsu, A. Shutko, Yu. Tishchenko, B. Petrenko, B. Kutuza, and N. Armand, 2004: Priroda microwave radiometer observations in the Southern Great Plains 1997 hydrology experimentInternational Journal of Remote Sensing23, 231-248. (DOI: 10.1080/01431160010014242).

Jackson, T. J., A. J. Gasiewski, A. Oldak, M. Klein, E. G. Njoku, A. Yevgrafov, S. Christian, and R. Bindlish, 2002: Soil moisture retrieval using the C-band polarimetric scanning radiometer during the Southern Great Plains 1999 ExperimentIEEE Transactions on Geoscience and Remote Sensing40, 2151- 2161. (DOI: 10.1109/TGRS.2002.802480).

Jackson, T. J., A. Y. Hsu, and P. E. O'Neill, 2002: Surface soil moisture retrieval and mapping using high-frequency microwave satellite observations in the Southern Great Plains J. Hydrometeor.3, 688-699. (DOI: 10.1175/1525-7541(2002)003<0688:SSMRAM>2.0.CO;2).

Jackson, T. J., and A. Y. Hsu, 2001: Soil moisture and TRMM microwave imager relationships in the Southern Great Plains 1999 (SGP99) experiment IEEE Transactions on Geoscience and Remote Sensing37, 2136-2151. (DOI: 10.1109/36.942541).

Jackson, T. J., and Coauthors, 2010: Validation of Advanced Microwave Scanning Radiometer Soil Moisture ProductsGeoscience and Remote Sensing, IEEE Transactions on48, 4256-4272. (DOI: 10.1109/TGRS.2010.2051035).

Jackson, T. J., D. M. Le Vine, A. Y. Hsu, A. Oldak, P. J. Starks, C. T. Swift, J. D. Isham, and M. Haken, 1999: Soil moisture mapping at regional scales using microwave radiometry: the Southern Great Plains Hydrology ExperimentIEEE Transactions on Geoscience and Remote Sensing37, 2136-2151. (DOI: 10.1109/36.789610).

Jacob, J. D., P. B. Chilson, A. L. Houston, and S. W. Smith, 2018: Considerations for Atmospheric Measurements with Small Unmanned Aircraft SystemsAtmosphere9(7), 252. (DOI: 10.3390/atmos9070252).

Jacobs, A.M., T.M. Bell, B.R. Greene, B.R. and P.B. Chilson, 2020: The Effect of Climatological Variables on Future UAS-Based Atmospheric Profiling in the Lower AtmosphereRemote Sensing12(18), 2947. (DOI: 10.3390/rs12182947).

Jagmandeep, D., A. Lawrence, E. Eickhoff, and W. Raun, 2020: Predicting in-season maize yield potential using crop sensors and climatological dataScientific Reports10(1), . (DOI: 10.1038/s41598-020-68415-2).

Jakobi, J., J.A. Huisman, M. Schrön, J. Fiedler, C. Brogi, H. Vereecken, H. and H.R. Bogena, 2020: Error estimation for soil moisture measurements with cosmic ray neutron sensing and implications for rover surveysFrontiers in Water2, 10 pp. (DOI: 10.3389/frwa.2020.00010).

James, E. P., and R. H. Johnson, 2010: Patterns of Precipitation and Mesolow Evolution in Midlatitude Mesoscale Convective VorticesMonthly Weather Review138, 909-931. (DOI: 10.1175/2009MWR3076.1).

Javid, A.H. and R. Bulut, 2023: Equilibrium Suction Prediction Model for Subgrade Soils in OklahomaInternational Journal of Geomechanics,23(10). DOI: 10.1061/IJGNAI.GMENG-7076)

Javid, A.H. and R. Bulut, 2019: Evaluating Equilibrium Matric Suctions under Pavement System Based on Thornthwaite Moisture Index (TMI)Airfield and Highway Pavements 2019, , 511-521. (DOI: 10.1061/9780784482469.051)

Javid, A.H., R. Bulut, and J. Habiger, 2023: Estimating Van Genuchten Diffusivity Parameter of Undisturbed Soils in OklahomaAirfield and Highway Pavements 2023, , 290-301. (DOI: 10.1061/9780784484906.027)

Jenkins-Smith, H., J. Ripberger, C. Silva, N. Carlson, K. Gupta, M. Henderson, and A. Goodin, 2017: The Oklahoma Meso-Scale Integrated Socio-Geographic Network: A Technical OverviewJ. Atmos. Oceanic Technol.34, 2431-1441. (DOI: 10.1175/JTECH-D-17-0088.1).

Jennrich, G.C., J.C. Furtado, J.B. Basara, and E.R. Martin, 2020: Synoptic Characteristics of 14-Day Extreme Precipitation Events Across the United StatesJ. of Clim., , 50 pp. (DOI: 10.1175/JCLI-D-19-0563.1).

Jiang, H., and S. Islam, 2003: An intercomparison of regional latent heat flux estimation using remote sensing dataInternational Journal of Remote Sensing24, 2221-2236. (DOI: 10.1080/01431160210154821).

Jiang, H., and W. R. Cotton, 2004: Soil moisture estimation using an artificial neural network: a feasibility studyCanadian Journal of Remote Sensing30, 827-839. (DOI: 10.5589/m04-041.

Jing, W. and P. Zhang, 2018: Reconstructing Monthly ECV Global Soil Moisture with an Improved Spatial ResolutionWater REsources Management32(7), 2523-2537. (DOI: 10.1007/s11269-018-1944-2).

Joh, Y., N. Maness, and W. McGlynn, 2017: Antioxidant Properties of “Natchez” and “Triple Crown” Blackberries Using Korean Traditional Winemaking TechniquesInternational Journal of Food Science2017, 9 pgs. (DOI: 10.1155/2017/5468149).

Johnson, A., and X. Wang, 2012: Verification and Calibration of Neighborhood and Object-Based Probabilistic Precipitation Forecasts from a Multimodel Convection-Allowing EnsembleMon. Wea. Rev.140, 3054–3077. (DOI: 10.1175/MWR-D-11-00356.1).

Johnson, A., X. Wang, J. R. Carley, L. J. Wicker, and C. Karstens, 2015: A comparison of multiscale GSI-based EnKF and 3DVar data assimilation using radar and conventional observations for midlatitude convective-scale precipitation forecastsMonthly Weather Review143(8), 3087-3108. (DOI: 10.1175/MWR-D-14-00345.1).

Johnson, A., X. Wang, M. Xue, and F. Kong, 2011: Hierarchical Cluster Analysis of a Convection-Allowing Ensemble during the Hazardous Weather Testbed 2009 Spring Experiment. Part II: Ensemble Clustering over the Whole Experiment PeriodMonthly Weather Review139, 3694-3710. (DOI: 10.1175/MWR-D-11-00016.1).

Johnson, Z.F. and N.M. Hitchens, 2018: Effects of Soil Moisture on the Longitudinal Dryline Position in the Southern Great PlainsJ. Hydrometeor.19, 272-287. (DOI: 10.1175/JHM-D-17-0091.1).

Jones, A. C., K. D. Hambright, and D. A. Caron, 2017: Ecological Patterns Among Bacteria and Microbial Eukaryotes Derived from Network Analyses in a Low-Salinity LakeMicrob Ecol2017, 1-13. (DOI: 10.1007/s00248-017-1087-7).

Jones, A.S., Andales, A.A., Chávez, J.L., McGovern, C., Smith, G.E.B., David, O., and Fletcher, S.J., 2019: Use of Predictive Weather Uncertainties in an Irrigation Scheduling Tool Part II: An Application of Metrics and AdjointsJournal of the American Water Resources Association, , 1-11. (DOI: 10.1111/1752-1688.12806).

Jones, T., R. Ahmadov, and E. James, 2022: Assimilation of aerosol optical depth into the Warn-on-Forecast System for Smoke (WoFS-Smoke)Journal of Geophysical Research: Atmospheres127, e2022JD037454. (DOI: 10.1029/2022JD037454).

Jones, T. A., and C. Nixon, 2017: Short-term forecasts of left-moving supercells from an experimental Warn-on-Forecast systemJ. Operational Meteor5 (13), 161-170. (DOI: 10.15191/nwajom.2017.0513).

Jones, T. A., D. J. Stensrud, P. Minnis, and R. Palikonda, 2013: Evaluation of a forward operator to assimilate cloud water path into WRF-DARTMonthly Weather Review141 (7), 2272-2289. (DOI: 10.1175/MWR-D-12-00238.1).

Jones, T. A., D. Stensrud, L. Wicker, P. Minnis, and R. Palikonda, 2015: Simultaneous radar and satellite data storm-scale assimilation using an ensemble Kalman filter approach for 24 May 2011Monthly Weather Review143, 165-194. (DOI: 10.1175/MWR-D-14-00180.1).

Jones, T. A., K. Knopfmeier, D. Wheatley, G. Creager, P. Minnis, and R. Palikonda, 2016: Storm-scale data assimilation and ensemble forecasting with the NSSL experimental Warn-on-Forecast system. Part II: Combined radar and satellite data experimentsWeather and Forecasting31(1), 297-327. (DOI: 10.1175/WAF-D-15-0107.1).

Jones, T. A., X. Wang, P. Skinner, A. Johnson, and Y. Wang, 2018: Assimilation of GOES-13 imager clear-sky water vapor (6.5 μm) radiances into a Warn-on-Forecast systemMon. Wea. Rev.EOR, . (DOI: 10.1175/MWR-D-17-0280.1).

Jones, T.A., P. Skinner, K. Knopfmeier, E. Mansell, P. Minnis, R. Palikonda, and W. Smith, 2018: Comparison of cloud microphysics schemes in a Warn-on-Forecast system using synthetic satellite objectsWea. Forecasting, , . (DOI: 10.1175/WAF-D-18-0112.1).

Jones, T.A., P. Skinner, N. Yussouf, K. Knopfmeier, A. Reinhart, X. Wang, K. Bedka, W. Smith, and R. Palikonda, 2020: Assimilation of GOES-16 radiances and retrievals into the Warn-on-Forecast System.Mon. Wea. rev., , . (DOI: 10.1175/MWR-D-19-0379.1).

Joshi, S., D. Brown, D. and P. Busteed, 2021: Intensification scenarios in projected precipitation using stochastic weather generators: a case study of central OklahomaTheor Appl Climatol, , . (DOI: 10.1007/s00704-021-03599-9).

Jung, C.G. X. Xu, S. Niu, J. Liang, X. Chen, Z. Shi, L. Jiang, and Y. Luo, 2019: Experimental warming amplified opposite impacts of drought vs. wet extremes on ecosystem carbon cycle in a tallgrass prairieAgricultural and Forest Meteorology276-277, . (DOI: 10.1016/j.agrformet.2019.107635).

Jung, C.G., X. Xu, Z. Shi, S. Miu, J. Xia, R. Sherry, L. Jiang, K. Zhu, E. Hou, and Y. Luo, 2022: Warmer and wetter climate promotes net primary production in C4 grassland with additional enhancement by hay harvestingEcosphere13(1), e3899. (DOI: 10.1002/ecs2.3899).

Jung, C.G., Z. Du, O. Hararuk, X. Xu, J. Liang, X. Zhou, D. Li, L. Jiang, and Y. Luo, 2021: Long-term measurements in a mixed-grass prairie reveal a change in soil organic carbon recalcitrance and its environmental sensitivity under warmingOecologia , , . (DOI: 10.1007/s00442-021-04875-1).

Kain, J. S., and Coauthors, 2010: Assessing Advances in the Assimilation of Radar Data and Other Mesoscale Observations within a Collaborative Forecasting‚ÄìResearch EnvironmentWeather and Forecasting25, 1510-1521. (DOI: 10.1175/2010WAF2222405.1).

Kalinga, O.A., and T.Y. Gan, 2012: Merging WSR-88D stage III radar rainfall data with rain gauge measurements using wavelet analysisIntl. J. of Remote Sensing33(4), 1078-1105. (DOI: 10.1080/01431161.2010.550641).

Kandel, T. P., P. H. Gowda, B. K. Northup, and A. C. Rocateli, 2019: Impacts of tillage systems, nitrogen fertilizer rates and a legume green manure on light interception and yield of winter wheatCogent Food & Agriculture5, . (DOI: 10.1080/23311932.2019.1580176).

Kandel, T. P., P. H. Gowda, B. K. Northup, and A. C. Rocateli, 2019: Incorporation and harvest management of hairy vetch-based green manure influence nitrous oxide emissionsRenewable Agriculture and Food Systems, , 1-10. (DOI: 10.1017/S174217051900019X).

Kandel, T., P. Gowda,B. Northup, and A. Rocateli, 2019: Winter wheat yield and nitrous oxide emissions in response to cowpea-based green manure and nitrogen fertilizationExperimental Agriculture, , 1-16. (DOI: 10.1017/S0014479719000334).

Kandel, T.P., P.H. Gowda, A. Somenahally, B.K. Northup, L. DuPont, J. and A.C. Rocateli, 2018: Nitrous oxide emissions as influenced by legume cover crops and nitrogen fertilizationNutrient Cycling in Agroecosystems112(1), 119-131. (DOI: 10.1007/s10705-018-9936-4).

Kandel, T.P., P.H. Gowda, and B.K. Northup, 2020: Influence of Tillage Systems, and Forms and Rates of Nitrogen Fertilizers on CO2 and N2O Fluxes from Winter Wheat Cultivation in OklahomaAgronomy10(3), 320. (DOI: 10.3390/agronomy10030320).

Kanofsky, L. and P. Chilson, 2008: An Analysis of Errors in Drop Size Distribution Retrievals and Rain Bulk Parameters with a UHF Wind Profiling Radar and a Two-Dimensional Video DisdrometerJ. Atmos. Oceanic Technol.25, 2282-2292. (DOI: 10.1175/2008JTECHA1061.1).

Karamouz, M., H. Meidani, and D. Mahmoodxadeh, 2022: Inverse unsaturated-zone flow modeling for groundwater recharge estimation: a regional spatial nonstationary approachHydrogeology Journal, , . (DOI: 10.1007/s10040-022-02502-8).

Karamouz, M., H. Meidani, and D. Mahmoodzadeh, 2021: A Regional-Scale Non-Stationarity Based Framework in Unsaturated Zone Flow ModelingWorld Environmental and Water Resources Congress 2021, , 52-63. (DOI: 10.1061/9780784483466.005).

Katiyar, N. and F. Hossain, 2007: An open-book watershed model for prototyping space-borne flood monitoring systems in International River BasinsEnvironmental Modelling & Software22 (12), 1720-1731. (DOI: 10.1016/j.envsoft.2006.12.005).

Keim, K. R., L. H. Edwards, and J. R. Sholar, 2003: Producing soybean and wheat cropping systems in rainfed environments. OnlineCrop ManagementOnline, . (DOI: 10.1094/CM-2003-0523-01-RS).

Kellner, O., D. Niyogi, M. Lei, and A. Kumar, 2012: The role of anomalous soil moisture on the inland reintensification of Tropical Storm Erin (2007)Natural Hazards63(3), 1573-1600. (DOI: 10.1007/s11069-011-9966-6).

Kenkel, P. L., and P. E. Norris, 1995: Agricultural Producers' Willingness to Pay for Real-Time Mesoscale Weather InformationJournal of Agricultural and Resource Economics20, 356-372. (DOI: 10.1175/1520-0426(1995)012<0005:TOMATO>2.0.CO;2).

Kenkel, P. L., and P. E. Norris, 1997: Agricultural Producers' Willingness to Pay for Real-Time Mesoscale Weather Information: A ResponseJournal of Agricultural and Resource Economics22, 382-386.

Kennedy, A. D., X. Dong, and B. Xi, 2014: Cloud fraction at the ARM SGP siteTheor Appl Climatol115, 91-105. (DOI: 10.1007/s00704-013-0853-9).

Kerr, C. A., D. J. Stensrud, and X. Wang, 2017: Verification of Convection-Allowing Model Ensemble Analyses of Near-Storm Environments Using MPEX Upsonde ObservationsMon. Wea. Rev.145, 857-875. (DOI: 10.1175/MWR-D-16-0287.1).

Kerr, C.A., D.J. Stensrud, and X. Wang, 2019: Diagnosing convective dependencies on near-storm environments using ensemble sensitivity analysesMon. Wea. Rev.Early Online Release, . (DOI: 10.1175/MWR-D-18-0140.1).

Kerr, D.D. and T.E. Ochsner, 2019: Soil organic carbon more strongly related to soil moisture than soil temperature in temperate grasslandsSoil Sci. Soc. Am. J., , . (DOI: 10.1002/saj2.20018).

Khan, I. S., Y. Hong, B. Vieux, and W. Liu, 2010: Developmentevaluation of an actual evapotranspiration estimation algorithm using satellite remote sensingmeteorological observational network in OklahomaInternational Journal of Remote Sensing31, 3799-3819. (DOI: 10.1080/01431161.2010.483487).

Khanchi, A., C. L. Jones, B. Sharma, R. L. Huhnke, P. Weckler, and N. O. Maness, 2013: An empirical model to predict infield thin layer drying rate of cut switchgrassBiomass and Bioenergy58, 128-135. (DOI: 10.1016/j.biombioe.2013.08.024).

Khand K., S. Taghvaeian, P. Gowda, G. Paul, 2019: A Modeling Framework for Deriving Daily Time Series of Evapotranspiration Maps Using a Surface Energy Balance ModelRemote Sens.11(5), . (DOI: 10.3390/rs11050508).

Khand, K., N. Bhattarai, S. Taghvaeian, P. Wagle, P.H. Gowda, and P.D. Alderman, 2020: Modeling Evapotranspiration of Winter Wheat using Contextual-and Pixel-based Surface Energy Balance ModelsTransactions of the ASABE, , . (DOI: 10.13031/trans.14087).

Kim, G., J. B. Valdes, G. R. North, H. T. Kim, 2006: Assessment of sampling error associated with soil moisture estimation designsJournal of the American Water Resources Association42, 213-224. (DOI: 10.1111/j.1752-1688.2006.tb03835.x).

Kim, J. and T.S. Hogue, 2008: Evaluation of a MODIS-Based Potential Evapotranspiration Product at the Point ScaleJ. of Hydromet.9, 444-460. (DOI: 10.1175/2007JHM902.1).

Kim, J., B. P. Mohanty, and Y. Shin, 2015: Effective soil moisture estimate and its uncertainty using multimodel simulation based on Bayesian model averagingJournal of Geophysical Research: Atmospheres120(16), 8023-8042. (DOI: 10.1002/2014JD022905).

Kim, K. S., J. D. Anderson, S. L. Webb, M. A. Newell and T. J. Butler, 2017: Variation in winter forage production of four small grain species-oat, rye, triticale, and wheatPak. J. Bot49(2), 553-559.

Kim, T., P. Kenkel, and B.W. Brorsen, 2012: Forecasting Hourly Peak Call Volume for a Rural Electric Cooperative Call CenterJ. of Forecasting31(4), 314-329. (DOI: 10.1002/for.1226).

Kimball, S. K., M. S. Mulekar, S. Cummings, and J. Stamates, 2010: The University of South Alabama Mesonet and Coastal Observing System: A Technical and Statistical OverviewJ. Atmos. Oceanic Technol.27, 1417-1439. (DOI: 10.1175/2010JTECHA1376.1).

Kindler, S. D., N. C. Elliott, K. L. Giles, T. A. Royer, R. Fuentes-Granados, and F. Tao, 2002: Effect of greenbugs (Homoptera: Aphididae) on yield loss of winter wheatJ. Economic Entomology95, 89-95. (DOI: 10.1603/0022-0493-95.1.89).

Kirkwood, A. E., and W. J. Henley, 2006: Algal community dynamics and halotolerance in a terrestrial, hypersaline environmentJournal of Phycology42, 537-547. (DOI: 10.1111/j.1529-8817.2006.00227.x).

Klein, P. M., and J. M. Galvez, 2015: Flow and turbulence characteristics in a suburban street canyonEnvironmental Fluid Mechanics15, 419-438. (DOI: 10.1007/s10652-014-9352-5).

Klein, P. M., and R. Coffman, 2015: Establishment and performance of an experimental green roof under extreme climatic conditionsScience of The Total Environment512-513, 82-93. (DOI: 10.1016/j.scitotenv.2015.01.020).

Klein, P. M., X. M. Hu, A. Shapiro, and M. Xue, 2016: Linkages Between Boundary-Layer Structure and the Development of Nocturnal Low-Level Jets in Central OklahomaBoundary Layer Meteorology158(3), 383-408. (DOI: 10.1007/s10546-015-0097-6).

Klein, P. M., X. M. Hu, and M. Xue, 2014: Impacts of Mixing Processes in Nocturnal Atmospheric Boundary Layer on Urban Ozone ConcentrationsBoundary Layer Meteorology150, 107-130. (DOI: 10.1007/s10546-013-9864-4).

Klemm, T. and R. A. McPherson, 2017: The development of seasonal climate forecasting for agricultural producersAgricultural and Forest Meteorology232, 384-399. (DOI: http://dx.doi.org/10.1016/j.agrformet.2016.09.005).

Klockow, K. E., R. A. McPherson, and D. S. Sutter, 2010: On the Economic Nature of Crop Production Decisions Using the Oklahoma MesonetWeather, Climate, and Society2, 224-236. (DOI: 10.1175/2010WCAS1034.1).

Knievel, J. C., and R. H. Johnson, 2002: The kinematics of a midlatitude, continental mesoscale convective system and its mesoscale vortexMon Wea. Rev.130, 1749-1770. (DOI: 10.1175/1520-0493(2002)130<1749:TKOAMC>2.0.CO;2).

Knievel, J. C., and R. H. Johnson, 2003: A scale-discriminating vorticity budget for a mesoscale vortex in a midlatitude, continental mesoscale convective systemJ. Atmos. Sci.60, 781-794. (DOI: 10.1175/1520-0469(2003)060<0781:ASDVBF>2.0.CO;2).

Knopfmeier, K. H., and D. J. Stensrud, 2013: Influence of mesonet observations on the accuracy of surface analyses generated by an ensemble Kalman filterWeather and Forecasting28(3), 815-841. (DOI: 10.1175/WAF-D-12-00078.1).

Knupp, K., 2006: Observational analysis of a gust front to bore to solitary wave transition within an evolving nocturnal boundary layerJ. Atmos. Sci.63, 2016-2035. (DOI: 10.1175/JAS3731.1).

Koch, S. E., and S. Saleeby, 2001: An automated system for the analysis of gravity waves and other mesoscale phenomenaWea. Forecasting16, 661-679. (DOI: 10.1175/1520-0434(2001)016<0661:AASFTA>2.0.CO;2).

Koch, S.E., M. Fengler, P.B. Chilson, K.L. Elmore, B. Argrow, D.L. Andra, and T. Lindley, 2018: On the Use of Unmanned Aircraft for Sampling Mesoscale Phenomena in the Preconvective Boundary LayerJ. Atmos. Oceanic Technol.35, 2265-2288. (DOI: 10.1175/JTECH-D-18-0101.1).

Konemann, C. E., B. M. Kard, M. E. Payton, S. P. Deng, J. G. Warren, and T. M. Wilson, 2016: CO2 Emissions from Soil on Oklahoma's Tallgrass Prairie Preserve in the Presence or Absence of Termites (Isoptera: Rhinotermitidae)The American Midland Naturalist176(1), 60-71. (DOI: 10.1674/0003-0031-176.1.60).

Kong, F., K. K. Droegemeier, and N. L. Hickmon, 2006: Multiresolution ensemble forecasts of an observed tornadic thunderstorm system. Part I: Comparsion of coarse- and fine-grid experimentsMon Wea. Rev.134, 807-833. (DOI: 10.1175/MWR3097.1).

Koren, V., F Moreda, M Smith, 2008: Use of soil moisture observations to improve parameter consistency in watershed calibrationPhysics and Chemistry of the Earth33, 1068-1080. (DOI: 10.1016/j.pce.2008.01.003).

Krajewski, W. F., and B. Vignal, 2001: Evaluation of anomalous propagation echo detection in WSR-88D data: a large sample case studyJ. Atmos. Oceanic Technol.18, 807-814. (DOI: 10.1175/1520-0426(2001)018<0807:EOAPED>2.0.CO;2).

Krajewski, W. F., B. Vignal, B. Seo, and G. Villarini, 2011: Statistical model of the range-dependent error in radar-rainfall estimates due to the vertical profile of reflectivityJ. of Hydr.402, 306-316. (DOI: 10.1016/j.jhydrol.2011.03.024).

Krajewski, W. F., G. Villarini, and J. A. Smith, 2010: RADAR-Rainfall UncertaintiesBull. Amer. Meteor. Soc.91, 87-94. (DOI: 10.1175/2009BAMS2747.1).

Krikken, F., and G. Steenveld, 2012: Modelling the re-intensification of tropical storm Erin (2007) over Oklahoma: understanding the key role of downdraft formulationTellus A64, 17417. (DOI: 10.3402/tellusa.v64i0.17417).

Krueger, E. S., T. E. Ochsner, and S. M. Quiring, 2019: Development and Evaluation of Soil Moisture-Based Indices for Agricultural Drought MonitoringAgron. J., , . (DOI: 10.2134/agronj2018.09.0558).

Krueger, E. S., T. E. Ochsner, D. M. Engle, J. D. Carlson, D. Twidwell, and S. D. Fuhlendorf, 2015: Soil moisture affects growing-season wildfire size in the Southern Great PlainsSoil Science Society of America Journal79(6), 1567-1576. (DOI:10.2136/sssaj2015.01.0041).

Krueger, E. S., T. E. Ochsner, J. D. Carlson, D. M. Engle, D. Twidwell, and S. D. Fuhlendorf, 2016: Concurrent and antecedent soil moisture relate positively or negatively to probability of large wildfires depending on seasonInternational Journal of Wildland Fire25, 657-668. (DOI: 10.1071/WF15104).

Krueger, E.S., T. E. Ochsner, S. M. Quiring, D. M. Engle, J. D. Carlson, D. Twidwell, and S. D. Fuhlendorf, 2017: Measured Soil Moisture is a Better Predictor of Large Growing-Season Wildfires than the Keetch–Byram Drought IndexSoil Science Society of America Journal81(3), 490-502. (DOI: 10.2136/sssaj2017.01.0003).

Kukal, M.S., S. Irmak, H. Walia, and L. Odhiambo, 2020: Spatio‐temporal calibration of Hargreaves–Samani model to estimate reference evapotranspiration across U.S. High PlainsAgronomy Journal112, 4232-4248. (DOI:10.1002/agj2.20325).

Kuligowski, R. J., 2002: A self-calibrating real-time GOES rainfall algorithm for short-term rainfall estimatesJ. Hydrometeor.3, 112-130. (DOI: 10.1175/1525-7541(2002)003<0112:ASCRTG>2.0.CO;2).

Kumar, A., F. Chen, D. Niyogi, J.G. Alferi, M. Ek, and K. Mitchell, 2011: Evaluation of a Photosynthesis-Based Canopy Resistance Formulation in the Noah Land-Surface ModelBoundary Layer Meteor.138(2), 263-284. (DOI: 10.1007/s10546-010-9559-z).

Kumar, P., S. W. Hallgren , D. E. Enstone, and C. A. Peterson, 2007: Root anatomy of Pinus taeda L.: seasonal and environmental effects on development in seedlingsTrees - Structure and Function21, 693-706. (DOI: 10.1007/s00468-007-0162-y).

Kumar, S. V., C. D. Peters-Lidard, J. L. Eastman, and W.-K. Tao, 2008: An integrated high-resolution hydrometeorological modeling testbed using LIS and WRFEnvironmental Modelling and Software23, 169-181. (DOI: 10.1016/j.envsoft.2007.05.012).

Kumjian, M. R., A. V. Ryzhkov, V. M. Melnikov, and T. J. Schuur, 2010: Rapid-Scan Super-Resolution Observations of a Cyclic Supercell with a Dual-Polarization WSR-88DMonthly Weather Review138, 3762-3786. (DOI: 10.1175/2010MWR3322.1).

Kummerow, C., and Coauthors, 2001: The Evolution of the Goddard Profiling Algorithm (GPROF) for Rainfall Estimation from Passive Microwave SensorsJournal of Applied Meteorology40, 1801-1820. (DOI: 10.1175/1520-0450(2001)040<1801:TEOTGP>2.0.CO;2).

Kummerow, C., Y. Hong, W. S. Olson, S. Yang, R. F. Adler, J. McCollum, R. Ferraro, G. Petty, D.-B. Shin, and T. T. Wilheit, 2001: The evolution of the Goddard Profiling Algorithm (GPROF) for rainfall estimation from passive microwave sensorsJ. Appl. Meteor.40, 1801-1820.

Kumssa, T.T., J.D. Anderson, J.P. Johnson, S. Norton, M.C. Saha, M.A. Trammell, J.K. Rogers, T.J. Butler, and X-F Ma, 2022: Trends of seasonal forage yield changes of triticale in the southern Great Plains of the United StatesGrassland Research, , 8 pp. (DOI: 10.1002/glr2.12027).

Kurdzo, J.M., and R.D. Palmer, 2012: Objective Optimization of Weather Radar Networks for Low-Level Coverage Using a Genetic AlgorithmJ. Atmos. Oceanic echnol.29, 807-821. (DOI: 10.1175/JTECH-D-11-00076.1).

Kustas, W. and M. Anderson, 2009: Advances in thermal infrared remote sensing for land surface modelingAgricultural and Forest Meteorology149 (12), 2071-2081. (DOI: 10.1016/j.agrformet.2009.05.016).

Kustas, W. P., J. M. Norman, M. C. Anderson, and A. N. French, 2003: Estimating subpixel surface temperatures and energy fluxes from the vegetation index–radiometric temperature relationshipRemote Sensing of Environment85(4), 429-440. (DOI: 10.1016/S0034-4257(03)00036-1).

Kustas, W. P., M. C. Anderson, A. N. French, and D. Vickers, 2006: Using a remote sensing field experiment to investigate flux-footprint relations and flux sampling distributions for tower and aircraft-based observationsAdvances in Water Resources29, 355-368. (DOI: 10.1016/j.advwatres.2005.05.003).

Kustas, W. P., R. Bindlish, A. N. French, and T. J. Schmugge, 2003: Comparison of energy balance modeling schemes using microwave-derived soil moisture and radiometric surface temperatureWater Resour. Res.39, 1039. (DOI: 10.1029/2002WR001361).

Kustas, W. P., T. J. Jackson, A. N. French, and J. I. MacPherson, 2001: Verification of patch- and regional-scale energy balance estimates derived from microwave and optical remote sensing during SGP97J. Hydrometeor.2, 254-273. (DOI: 10.1175/1525-7541%282001%29002<0254%3AVOPARS>2.0.CO%3B2).

Kuster, C.M., B.R. Bowers, J.T. Carlin, T.J. Schuur, J.W. Brogden, R. Toomey, and A. Dean, 2021: Using KDP Cores as a Downburst Precursor SignatureWeather and Forecasting, , 52 pp. (DOI: 10.1175/WAF-D-21-0005.1).

Kuster, C.M., B.R. Bowers, J.T. Carlin, T.J. Schuur, J.W. Brogden, R. Toomey, and A. Dean, 2021: Using KDP Cores as a Downburst Precursor SignatureWeather and Forecasting36(4), 1183-1198. (DOI: 10.1175/WAF-D-21-0005.1).

Kuster, E. L., C. E. Lunday, and R. A. McPherson, 2015: A comparison of North American regional climate change assessment program output and Oklahoma Mesonet observations: Precipitation and temperatureThe Geographical Bulletin56(2), 102-121. (www.gammathetaupsilon.org/the-geographical-bulletin/2010s/volume56-2/article4.pdf).

Labriola, J., N. Snook, Y. Jung, and M. Xue, 2019: Explicit Ensemble Prediction of Hail in 19 May 2013 Oklahoma City Thunderstorms and Analysis of Hail Growth Processes with Several Multi-Moment Microphysics SchemesMon. Wea. Rev., , . (DOI: 10.1175/MWR-D-18-0266.1).

Lagerquist, R., A. McGovern, and T. Smith, 2017: Machine Learning for Real-Time Prediction of Damaging Straight-Line Convective WindWea. Forecasting32, 2175-2193. (DOI: 10.1175/WAF-D-17-0038.1).

Lai, A., J. Gao, S.E. Koch, Y. Wang, S. Pan, A.O. Fierro, C. Cui, and J. Min, 2019: Assimilation of Radar Radial Velocity, Reflectivity and Pseudo Water Vapor for Convective-scale NWP in a Variational FrameworkMon. Wea. Review147(8), 2877-2900. (DOI: 10.1175/MWR-D-18-0403.1).

Lakhankar, T., A. S. Jones, C. L. Combs, M. Sengupta, T. H. Vonder Haar, and R. Khanbilvardi, 2010: Analysis of Large Scale Spatial Variability of Soil Moisture Using a Geostatistical MethodSensors10, 913-932. (DOI: 10.3390/s100100913).

Lakshmanan, V., M. Miller, and T. Smith, 2013: Quality control of accumulated fields by applying spatial and temporal constraintsJ. Atmos. and Ocean. Tech.30(4), 745-758. (DOI: 10.1175/JTECH-D-12-00128.1).

Lakshmi, V., 2013: Remote sensing of soil moistureISRN Soil Science2013, Article ID 424178, 33 pgs. (DOI: 10.1155/2013/424178).

Lamb, P. J., D. H. Portis, and A. Zangvil, 2012: Investigation of Large-Scale Atmospheric Moisture Budget and Land Surface Interactions over U.S. Southern Great Plains including for CLASIC (June 2007)J. Hydrometeor.13, 1719-1738. (DOI: 10.1175/JHM-D-12-01.1).

Lane, D. E., K. Goris, and R. C. J. Somerville, 2002: Radiative transfer through broken clouds: Observations and model validationJ. Climate15, 2921-2933. (DOI: 10.1175/1520-0442(2002)015<2921:RTTBCO>2.0.CO;2).

Lane, D. E., R. C. J. Somerville, and S. F Iacobellis, 2000: Sensitivity of cloud and radiation parameterizations to changes in vertical resolutionJ. Climate13, 915-922. (DOI: 10.1175/1520-0442(2000)013<0915:SOCARP>2.0.CO;2).

Lappin, F.M., T.M. Bell, E.A. Pillar-Little, and P.B. Chilson, 2021: Low-level buoyancy as a tool to understand boundary layer transitionsAtmos. Meas. Tech. Discuss., , . (DOI: 10.5194/amt-2021-68).

Larsson, L. C., C. L. Pruett, D. H. Wolfe, and M. A. Patten, 2013: Fine-scale selection of habitat by the Lesser Prairie-chickenThe Southwestern Naturalist58(2), 135-149.

Lee, B.H., P. Kenkel, and B. W. Brorsen, 2013: Pre-harvest forecasting of county wheat yield and wheat quality using weather informationAgr. and Forest Meteor.168, 26-35. (DOI: 10.1016/j.agrformet.2012.08.010).

Lee, H., and D. J. Seo, 2014: Assimilation of hydrologic and hydrometeorological data into distributed hydrologic model: Effect of adjusting mean field bias in radar-based precipitation estimatesAdvances in Water Resources74, 196-211. (DOI: 10.1016/j.advwatres.2014.09.002).

Lee, H., D. J. Seo, and V. Koren, 2011: Assimilation of streamflow and in situ soil moisture data into operational distributed hydrologic models: Effects of uncertainties in the data and initial model soil moisture statesAdv. in Water Res.34, 1597-1615. (DOI: 10.1016/ j.advwatres.2011.08.012).

Lee, J., G. Pedroso, B.A. Linquist, D. Putnam, C. van Kessel, and J. Six, 2012: Simulating switchgrass biomass production across ecoregions using the DAYCENT modelGCB Bioenergy4(5), 521-533. (DOI: 10.1111/j.1757-1707.2011.01140.x).

Lee, K. H., and E. N. Anagnostou, 2004: A combined passive/active microwave remote sensing approach for surface variable retrieval using Tropical Rainfall Measuring Mission observationsRemote Sensing of Environment92, 112-125. (DOI: 10.1016/j.rse.2004.05.003).

Lee, K., and E. N. Anagnostou, 2004: Investigation of the nonlinear hydrologic response to precipitation forcing in physically based land surface modelingCanadian Journal of Remote Sensing30, 706-716. (DOI: 10.5589/m04-037).

Lee, K., and N. S. Oh, 2006: Investigating the spatial scaling effect of the non-linear hydrological response to precipitation forcing in a physically based land surface modelWater SA32, 145-154. (DOI: 10.4314/wsa.v32i2.5255).

Lee, S., J. Vitale, and D. Lambert, 2023: Weather and Geographic Effects on Sugarcane Aphid Migration AgBioForum25(1), 118-129.

Lee, S., J. Vitale, D. Lambert, P. Vitale, N. Elliot, and K. Giles, 2023: Effects of Weather on Sugarcane Aphid Infestation and Movement in OklahomaAgriculture13(3). (DOI: 10.3390/agriculture13030613).

Lee, W.H., S.F. Iacobellis, and R.C.J. Somerville, 1997: Cloud radiation forcings and feedbacks: General circulation model tests and observational validationJ. Climate10, 2479-2496.

Lehmiller, G. S., H. B. Bluestein, P. J. Neiman, F. M. Ralph, and W. F. Feltz, 2001: Wind structure in a supercell thunderstorm as measured by a UHF wind profilerMon Wea. Rev.129, 1968-1986. (DOI: 10.1175/1520-0493(2001)129<1968:WSIAST>2.0.CO;2).

Leis, S. A., D. M. Leslie Jr., D. M. Engle, and J. S. Fehmi, 2008: Small mammals as indicators of short-term and long-term disturbance in mixed prairieEnvironmental Monitoring and Assessment137, 75-84. (DOI: 10.1007/s10661-007-9730-2).

Lemonsu, A., S. Belair, and J. Mailhot, 2009: The New Canadian Urban Modelling System: Evaluation for Two Cases from the Joint Urban 2003 Oklahoma City ExperimentBoundary-Layer Meteorology133, 47-70. (DOI: 10.1007/s10546-009-9414-2).

Levia, D. F., and E. E. Frost, 2004: Assessment of climatic suitability for the expansion of Solenopsis invicta Buren in Oklahoma using three general circulation modelsTheoretical and Applied Climatology79, 23-30. (DOI: 10.1007/s00704-004-0067-2).

Lewis, C. S., H. M. Geli, and C. M. Neale, 2014: Comparison of the NLDAS Weather Forcing Model to Agrometeorological Measurements in the western United StatesJ. of Hydrol.510, 385-392. (DOI: 10.1016/j.jhydrol.2013.12.040).

Li, W., S. Stadler, and R. Ramakumar, 2011: Modeling and Assessment of Wind and Insolation Resources with a Focus on Their Complementary Nature: A Case Study of OklahomaAnnals of the Assoc. of Amer. Geog.101(4), 717-729. (DOI: 10.1080/00045608.2011.567926).

Li, Z and G. Zhang, 2022: Differences in Spectrum Width Estimates between Electronic Scans and Mechanical Scans with a Phased Array Weather RadarIEEE Geoscience and Remote Sensing Letters, , . (DOI: 10.1109/LGRS.2022.3186666).

Li, Z., N. Wang, A. Franzen, P. Taher, C. Godsey, H. Zhang, and X. Li, 2014: Practical deployment of an in-field soil property wireless sensor networkComputer Standards and Interfaces36(2), 278287. (DOI: 10.1016/j.csi.2011.05.003).

Li, Z., Y. Zhang, and S. E. Giangrande, 2012: Rainfall-Rate Estimation Using Gaussian Mixture Parameter Estimator: Training and ValidationJ. of Atmos. and Ocean. Tech29, 731-744. (DOI: 10.1175/JTECH-D-11-00122.1).

Lievens, H., R. H. Reichle, Q. Liu, G. J. M. De Lannoy, R. S. Dunbar, S. B. Kim, N. N. Das, M. Cosh, J. P. Walker, and W. Wagner, 2017: Joint Sentinel-1 and SMAP data assimilation to improve soil moisture estimatesGeophys. Res. Lett.44, 6145-6153. (DOI: 10.1002/2017GL073904).

Lin, X., R. A. Pielke Sr, R. Mahmood, C. A. Fiebrich, and R. Aiken, 2016: Observational evidence of temperature trends at two levels in the surface layerAtmos. Chem. Phys.16, 827-841. (DOI: 10.5194/acp-16-827-2016).

Lin, X., R. A. Pielke Sr., K. G. Hubbard, K. C. Crawford, M. A. Shafer, and T. Matsui, 2007: An examination of 1997 - 2007 surface layer temperature trends at two heights in OklahomaGeophysical Research Letters34, L24705. (DOI: 10.1029/2007GL031652).

Lindley, T. T., A. R. Anderson, V. N. Mahale, T. S. Curl, W. E. Line, S. S. Lindstrom, and A. S. Bachmeier, 2016: Wildfire detection notifications for impact-based decision support services in Oklahoma using geostationary super rapid scan satellite imageryJ. Operational Meteor4(14), 182-191. (DOI: 10.15191/nwajom.2016.0414).

Lindsay, K.R., M. P. Popp, C. P. West, A. J. Ashworth, A. C. Rocateli, R. Farris, V. G. Kakani, F. B. Fritschi, et al., 2018: Predicted harvest time effects on switchgrass moisture content, nutrient concentration, yield, and profitabilityBiomass and Bioenergy108, 74-89. (DOI: 10.1016/j.biombioe.2017.09.017).

Lindsey, D. T., and M. J. Bunkers, 2005: Observations of a severe, left-moving supercell on 4 May 2003Wea. Forecasting20, 15-22. (DOI: 10.1175/WAF-830.1).

Linneman, J. and M. Palmer, 2006: The effect of Juniperus virginiana on plant species composition in an Oklahoma grasslandCommunity Ecology7(2), 235-244. (DOI:10.1556/ComEc.7.2006.2.10).

Linneman, J.S., M.S. Allen, and M.W. Palmer, 2011: The effects of removal of juniperus virginiana L. trees and litter from a central Oklahoma grasslandOklahoma Native Plant Record11, 43-60.

Lisenbee, W. A., G. A. Fox, A. A. Saenz, and R. B. Miller, 2017: Comparison of Field Jet Erosion Tests and WEPP-Predicted Erodibility Parameters for Varying Land CoverTransactions of the ASABE60(1), 173-184. (doi: 10.13031/trans.12012).

Liu, H. and M. Xue, 2008: Prediction of Convective Initiation and Storm Evolution on 12 June 2002 during IHOP_2002. Part I: Control Simulation and Sensitivity ExperimentsMon. Wea. Rev.136, 2261-2282. (DOI: 10.1175/2007MWR2161.1).

Liu, H., S. Sorooshian, and X. Gao, 2015: Assessment of the Spatial and Seasonal Variation of Error-Intensity Relationship in Satellite Precipitation using an Adaptive Parametric ModelJ. of Hydromet.16, 1700-1716. (DOI: 10.1175/JHM-D-14-0219.1).

Liu, W., Y. Hong, Khan S. I., M. Huang, B. Vieux, S. Caliskan, and T. Grout, 2010: Actual evapotranspiration estimation for different land use and land cover in urban regions using Landsat 5 dataJ. Appl. Remote Sens.4, 041873. (DOI: 10.1117/1.3525566).

Liu, W., Y. Hong, S. Khan, M. Huang, T. Grout, and P. Adhikari, 2011: Evaluation of Global Daily Reference ET Using Oklahoma’s Environmental Monitoring Network—MESONETWater Res. Management25 (6), 1601-1613.

Liu, X., S. J. Rees, and J. D. Spitle, 2007: Modeling snow melting on heated pavement surfaces. Part II: Experimental validationApplied Thermal Engineering27, 1125-1131. (DOI: 10.1016/j.applthermaleng.2006.07.029).

Liu, Y. ,W. Jing, Q. Wang, and X. Xia, 2020: Generating high-resolution soil moisture by using spatial downscaling techniques: a comparison of six machine learning algorithmsAdvances in Water Resources, , . (DOI: 10.1016/j.advwatres.2020.103601).

Liu, Y., F. Chen, T. Warner, and J. B. Basara, 2006: Verification of a mesoscale data-assimilation and forecasting system for the Oklahoma City area during the Joint Urban 2003 Field ProjectJ. Appl. Meteor. Clim.45, 912-929. (DOI: 10.1175/JAM2383.1).

Liu, Y., L. Yao, W. Jing, L. Di, J. Yang, and Y. Li, 2020: Comparison of two satellite-based soil moisture reconstruction algorithms: A case study in the state of Oklahoma, USAJournal of Hydrology590, p.125406. (DOI: 10.1016/j.jhydrol.2020.125406).

Liu, Y., Y. Yang, and X. Yue, 2018: Evaluation of Satellite-Based Soil Moisture Products over Four Different Continental In-Situ MeasurementsRemote Sens.10(7), 1161. (DOI: 10.3390/rs10071161).

Llamas, R.M. M. Guevara, D. Rorabaugh, M. Taufer, and R. Vargas, 2020: Spatial Gap-Filling of ESA CCI Satellite-Derived Soil Moisture Based on Geostatistical Techniques and Multiple RegressionRemote Sensing12(4), . (DOI: 10.3390/rs12040665).

Lofton, J., D.B. Arnall, S. Sharma, and C. Nisly, 2019: Evaluating Starter Fertilizer Applications in Grain Sorghum ProductionAgrosystems2(1), 6 pp. (DOI: 10.2134/age2019.01.0004).

Lollato, R. P. and J. T. Edwards, 2015: Maximum attainable wheat yield and resource-use efficiency in the southern Great PlainsCrop Science55(6), 2863-2876. (DOI: 10.2135/cropsci2015.04.0215).

Lollato, R. P., A. Patrignani, T. E. Ochsner, and J. T. Edwards, 2016: Prediction of Plant Available Water at Sowing for Winter Wheat in the Southern Great PlainsAgronomy Journal108(2), 745-757. (DOI: 10.2134/agronj2015.0433).

Lollato, R. P., J. T. Edwards, and T. E. Ochsner, 2017: Meteorological limits to winter wheat productivity in the U.S. southern Great PlainsField Crops Research203, 212-226. (DOI: 10.1016/j.fcr.2016.12.014).

Lollato, R.P., K. Roozeboom, J.F. Lingenfelser, C.L. da Silva, and G. Sassenrath, 2020: Soft winter wheat outyields hard winter wheat in a subhumid environment: Weather drivers, yield plasticity, and rates of yield gainCrop Science60, 1617-1633. (DOI: 10.1002/csc2.20139).

Londe, D. W., S. D. Fuhlendorf, R. D. Elmore, and C. A. Davis, 2019: Landscape heterogeneity influences the response of grassland birds to energy developmentWildlife Biology2019(1), . (DOI: 10.2981/wlb.00523).

Londe, D.W., R. Dwayne Elmore, C.A. Davis, S.D. Fuhlendorf, B. Luttbeg, and T.J Hovick, 2020: Structural and compositional heterogeneity influences the thermal environment across multiple scalesEcosphere11(11), e03290. (DOI: 10.1002/ecs2.3290).

Londe, D.W., D. Dvorett, C.A. Davis, S.R. Loss, and E.P. Robertson, 2022: Inundation of depressional wetlands declines under a changing climateClimatic Change172, . (DOI: 10.1007/s10584-022-03386-z).

Londe, D.W., R.D. Elmore, C.A. Davis, S.D. Fuhlendorf, T.J. Hovick, B. Luttbeg, and J. Rutledge, 2020: Weather Influences Multiple Components of Greater Prairie‐Chicken ReproductionWildlife Management2020, 1-14. (DOI: 10.1002/jwmg.21957).

Londe, D.W., R.D. Elmore, C.A. Davis, S.D. Fuhlendorf, T.J. Hovick, B. Luttbeg, and J. Rutledge, 2021: Fine-scale habitat selection limits trade-offs between foraging and temperature in a grassland birdBehavioral Ecology, , . (DOI: 10.1093/beheco/arab012).

Looper, J.P., B.E. Vieux, and M.A. Moreno, 2012: Assessing the impacts of precipitation bias on distributed hydrologic model calibration and prediction accuracyJ. of Hydrol.418-419, 110-122. (DOI: 10.1016/j.jhydrol.2009.09.048).

Lopez, J.W., T.P. DuBose, A.J. Franzen, C.L. Atkinson and C.C. Vaughn, 2022: Long-term monitoring shows that drought sensitivity and riparian land use change coincide with freshwater mussel declinesAquatic Conservation: Marine and Freshwater Ecosystems, , 1-13. (DOI: 10.1002/aqc.3884).

Loss, S. R., S. Paudel, C. M. Laughlin, and C. Zou, 2017: Local-scale correlates of native and non-native earthworm distributions in juniper-encroached tallgrass prairieBiological Invasions19 (5), 1621-1635. (DOI: 10.1007/s10530-017-1383-7).

Lu, H., Q. Xu, M. Yao, and S. Gao, 2011: Time-Expanded Sampling for Ensemble-Based Filters: Assimilation Experiments with Real Radar ObservationsAdv. In Atmos. Sci.28 (4), 743-757. (DOI: 10.1007/s00376-010-0021-4).

Lu, Y. Y., R. J. Doviak, and C. Crisp, 1996: Estimating large-scale vorticity using VAD products and reflectivityJ. Atmos. Oceanic Technol.13, 1129-1138. (DOI: 10.1175/1520-0426(1996)013<1129:ELSVUV>2.0.CO;2).

Lucker, B. F., C. C. Hall, R. Zegarac, and D. M. Kramer, 2014: The environmental photobioreactor (ePBR): An algal culturing platform for simulating dynamic natural environmentsAlgal Reserch6, 242-249. (DOI: 10.1016/j.algal.2013.12.007).

Luo, L., A. Robock, K. E. Mitchell, P. R. Houser, E. F. Wood, J. C. Schaake, D. Lohmann, B. Cosgrove, F. Wen, and Coauthors, 2003: Validation of the North American Land Data Assimilation System (NLDAS) retrospective forcing over the southern Great PlainsJ. Geophys. Res.108, D22. (DOI: 10.1029/2002JD003246).

MacGorman, D. R., M. S. Elliott, and E. DiGangi, 2017: Electrical discharges in the overshooting tops of thunderstormsJ. Geophys. Res. Atmos.122, 2929-2957. (DOI: 10.1002/2016JD025933).

Mackaro, S.M., R.T. McNider, and A.P. Biazar, 2012: Some Physical and Computational Issues in Land Surface Data Assimilation of Satellite Skin TemperaturesPure Appl. Geophys169, 401-414. (DOI: 10.1007/s00024-011-0377-0).

MacKown, C. T. Carver,B. F., J. T. Edwards, 2008: Occurrence of Condensed Tannins in Wheat and Feasibility for Reducing Pasture BloatCrop Sci.48, 2470-2480.

MacKown, C. T., and B. F. Carver, 2005: Fall forage biomass and nitrogen composition of winter wheat populations selected from grain-only and dual-purpose environmentsCrop Sci.45, 322-328. (DOI:10.2135/cropsci2005.0322).

MacKown, C. T., J. J. Heitholt, and S. C. Rao, 2007: Agronomic feasibility of a continuous double crop of winter wheat and soybean forage in the Southern Great PlainsCrop Sci.47, 1652-1660. (DOI: 10.2135/cropsci2006.10.0683).

Magas, O. K., J. T. Gunter, and J. L. Regens, 2006: Ambient air pollution and daily pediatric hospitalizations for asthmaEnvironmental Science and Pollution Research14, 19-23.

Maggard, A. O., R. E. Will, D. S. Wilson, C. R. Meek, and J. G. Vogel, 2017: Fertilization can compensate for decreased water availability by increasing the efficiency of stem volume production per unit of leaf area for loblolly pine (Pinus taeda) standsCanadian Journal of Forest Research47(4), 445-457. (DOI: 10.1139/cjfr-2016-0422).

Maggard, A., R. Will, D. Wilson, and C. Meek, 2016: Response of Mid-Rotation Loblolly Pine (Pinus taeda L.) Physiology and Productivity to Sustained, Moderate Drought on the Western Edge of the RangeForests7(9), 203. (DOI: 10.3390/f7090203).

Maggioni, V., E. N. Anagnostou, and R. H. Reichle, 2012: The impact of land model structural, parameter, and forcing errors on the characterization of soil moisture uncertaintyHydrol. Earth Syst. Sci. Discuss.9, 2283-2319. (DOI: 10.5194/hessd-9-2283-2012).

Maggioni, V., E. N. Anagnostou, and R. H. Reichle, 2012: The impact of model and rainfall forcing errors on characterizing soil moisture uncertainty in land surface modelingHydrol. Earth Syst. Sci. Discuss.16, 3499-3515. (DOI: 10.5194/hess-16-3499-2012).

Maggioni, V., R. H. Reichle, and E. N. Anagnostou, 2011: The Effect of Satellite Rainfall Error Modeling on Soil Moisture Prediction UncertaintyJ. Hydrometeor12, 413–428. (DOI: 10.1175/2011JHM1355.1).

Maggioni, V., R. H. Reichle, E. N. Anagnostou, 2013: The Efficiency of Assimilating Satellite Soil Moisture Retrievals in a Land Data Assimilation System Using Different Rainfall Error ModelsJ. Hydrometeor14, 368-374. (DOI: 10.1175/JHM-D-12-0105.1).

Magsig, M. A., and J. T. Snow, 1998: Long-Distance Debris Transport by Tornadic Thunderstorms. Part I: The 7 May 1995 Supercell ThunderstormMonthly Weather Review126, 1430-1449. (DOI: 10.1175/1520-0493(1998)126<1430:LDDTBT>2.0.CO;2).

Mahajan, R. L., B. M. Fichera, and T. W. Horst, 2005: Mechanically aspirated radiation shields: A CFD and neural network design analysisInternational Journal of HeataAnd Mass Transfer48(14), 2856-2867. (DOI: 10.1016/j.ijheatmasstransfer.2005.01.026).

Mahale, V. N., G. Zhang, and M. Xue, 2016: Characterization of the 14 June 2011 Norman, Oklahoma, Downburst through Dual-Polarization Radar Observations and Hydrometeor ClassificationJ. Appl. Meteor. Climatol.55, 2635-2655. (DOI: 10.1175/JAMC-D-16-0062.1).

Mahale, V. N., J. A. Brotzge, and H. B. Bluestein, 2012: An Analysis of Vortices Embedded within a Quasi-Linear Convective System Using X-Band Polarimetric RadarWea. Forecasting27, 1520-1537. (DOI: 10.1175/WAF-D-11-00135.1).

Mahale, V. N., J. A. Brotzge, and H. B. Bluestein, 2014: The Advantages of a Mixed-Band Radar Network for Severe Weather Operations: A Case Study of 13 May 2009Weather and Forecasting29, 78-98. (DOI: 10.1175/WAF-D-13-00024.1).

Mahmood, R., R. Boyles, K. Brinson, C. Fiebrich, S. Foster, K. Hubbard, D. Robinson, J. Andresen, and D. Leathers, 2017: Mesonets: Mesoscale Weather and Climate Observations for the United StatesBull. Amer. Meteor. Soc.98, 1349-1361. (DOI: 10.1175/BAMS-D-15-00258.1).

Mahroof, R. M., P. A. Edde, B. Robertson, J. A. Puckette, and T. W. Phillips, 2010: Dispersal of Rhyzopertha dominica (Coleoptera: Bostrichidae) in Different HabitatsEnvironmental Entomology39, 930-938. (DOI: 10.1603/EN09243).

Major, K. M., A. E. Kirkwood, C. S. Major, J. W. McCreadie, and W. J. Henley, 2005: In situ studies of algal biomass in relation to physicochemical characteristics of the Salt Plains National Wildlife Refuge, Oklahoma, USASaline Systems1:11, Online. (DOI: 10.1186/1746-1448-1-11).

Makaju, S.O., Y. Q. Wu, H. Zhang, V. G. Kakani, C. M. Taliaferro, and M. P. Anderson, 2013: Switchgrass Winter Yield, Year-Round Elemental Concentrations, and Associated Soil Nutrients in a Zero Input EnvironmentAgronomy Journal105 (2), 463-470. (DOI: 10.2134/agronj2012.0286).

Mallick, A. and T. A. Jones, 2020: Assimilation of GOES-16 satellite derived winds into the warn-on-forecast systemAtmospheric Research, , . (DOI: 10.1016/j.atmosres.2020.105131).

Mallick, S. and T.A. Jones, 2022: Impact of adaptively thinned GOES-16 all-sky radiances in an ensemble Kalman filter based WoFSAtmospheric Research277, . (DOI: 10.1016/j.atmosres.2022.106304).

Markowski, P. M., 2002: Mobile mesonet observations on 3 May 1999Wea. Forecasting17, 430-444. (DOI: 10.1175/1520-0434(2002)017<0430:MMOOM>2.0.CO;2).

Markowski, P. M., and J. M. Straka, 2000: Some observations of rotating updrafts in a low-buoyancy, highly sheared environmentMon Wea. Rev.128, 449-461. (DOI: 10.1175/1520-0493%282000%29128<0449%3ASOORUI>2.0.CO%3B2).

Markowski, P. M., E. N., Rasmussen, and J. M. Straka, 1998: The occurrence of tornadoes in supercells interacting with boundaries during VORTEX-95Wea. Forecasting13, 852-859. (DOI: 10.1175/1520-0434(1998)013<0852:TOOTIS>2.0.CO;2).

Markowski, P. M., E. N., Rasmussen, J. M. Straka, and D. C. Dowell, 1998: Observations of low-level baroclinity generated by anvil shadowsMon Wea. Rev.126, 2942-2958. (DOI: 10.1175/1520-0493(1998)126<2942:OOLLBG>2.0.CO;2).

Markowski, P. M., J. M. Straka, and E. N., Rasmussen, 2002: Direct surface thermodynamic observations within the rear-flank downdrafts of nontornadic and tornadic supercellsMon Wea. Rev.130, 1692-1721. (DOI: 10.1175/1520-0493(2002)130<1692:DSTOWT>2.0.CO;2).

Markowski, P. M., J. M. Straka, E. N., Rasmussen, and D. O. Blanchard, 1998: Variability of storm-relative helicity during VORTEXMon Wea. Rev.126, 2959-2971. (DOI: 10.1175/1520-0493(1998)126<2959:VOSRHD>2.0.CO;2).

Markowski, P., and C. Hannon, 2006: Multiple-Doppler Radar Observations of the Evolution of Vorticity Extrema in a Convective Boundary LayerMon Wea. Rev.134, 355-374. (DOI: 10.1175/MWR3060.1).

Markowski, P., and Y. Richardson, 2007: Observations of Vertical Wind Shear Heterogeneity in Convective Boundary LayersMon Wea. Rev.135, 843-861. (DOI: 10.1175/MWR3334.1).

Markowski, P., C. Hannon, and E. Rasmussen, 2006: Observations of Convection Initiation "Failure" from the 12 June 2002 IHOP DeploymentMon Wea. Rev.134, 375-405. (DOI: 10.1175/MWR3059.1).

Marks, S. K., J. D. Vitek, J. R. Giardino, and K. C. McQueen, 2002: Creating curricular change: needs in grades 8-12 earth scienceGeomorphology47, 261-273. (DOI: 10.1016/S0169-555X(02)00088-0).

Marshall, C. H., K. Crawford, K. Mitchell, and D. Stensrud, 2003: The impact of the land-surface physics in the operational NCEP Eta model on simulating the diurnal cycle: evaluation and testing using Oklahoma Mesonet dataWea. Forecasting18, 748-768. (DOI: 10.1175/1520-0434(2003)018<0748:TIOTLS>2.0.CO;2).

Marsham, J.H., S.B. Trier, T.M. Weckwerth, J.W. Wilson, 2011: Observations of Elevated Convection Initiation Leading to a Surface-Based Squall Line during 13 June IHOP_2002Mon. Wea. Rev.139, 247-271. (DOI: 10.1175/2010MWR3422.1).

Martin, R., R., Aler, J.M. Valls, and I. M. Galvan, 2016: Machine learning techniques for daily solar energy prediction and interpolation using numerical weather modelsConcurrency Computat.: Pract. Exper.28, 1261-1274. (DOI: 10.1002/cpe.3631).

Martinez, J. E., C. E. Duchon, and W. L. Crosson, 2001: Effect of the number of soil layers on a modeled surface water budgetWater Resour. Res.37, 367-377. (DOI: 10.1029/2000WR900298).

Masasi, B., S. Taghvaeian, P.H. Gowda, G. Marek, and R. Boman, 2020: Validation and application of AquaCrop for irrigated cotton in the Southern Great Plains of USIrrigation Science , , 1-15. (DOI: 10.1007/s00271-020-00665-4).

Masasi, B., S. Taghvaeian, P.H. Gowda, J. Warren, and G. Marek, 2019: Simulating Soil Water Content, Evapotranspiration, and Yield of Variably Irrigated Grain Sorghum Using AquaCropJournal of the American Water Resources Association, , 1-18. (DOI: 10.1111/1752-1688.12757).

Masasi, B., S. Taghvaeian, R. Boman, and S. Datta, 2019: Impacts of Irrigation Termination Date on Cotton Yield and Irrigation RequirementAgriculture9(2), 39. (DOI: 10.3390/agriculture9020039).

Mascaro, G., E. R. Vivoni, and R. Deidda, 2010: Implications of Ensemble Quantitative Precipitation Forecast Errors on Distributed Streamflow Forecastingjournal of Hydrometeorology11, 69-86. (DOI: 10.1175/2009JHM1144.1).

Massey J., J. Antonangelo, and H. Zhang, 2020: Nitrogen Fertilization and Harvest Timing Affect Switchgrass QualityResources6 (61), 15 pp. (DOI: :10.3390/resources9060061).

Massey, J, J.Antonangelo, and H. Zhang, 2020: Nutrient Dynamics in Switchgrass as a Function of TimeAgronomy10, 940. (DOI: 10.3390/agronomy10070940).

Mathews, A. J., M. Haffner, and E. A. Ellis, 2017: GIS-based modeling of tornado siren sound propagation: Refining spatial extent and coverage estimationsInternational Journal of Disaster Risk Reduction23, 36-44. (DOI: 10.1016/j.ijdrr.2017.04.004).

McCabe, M., E. Wood, H. Su, R. Vinukollu, C. Ferguson, and Z. Su, 2011: Multisensor Global Retrievals of Evapotranspiration for Climate Studies Using the Surface Energy Budget SystemLand Remote Sensing and Global Env. Change11(5), 747-778. (DOI: 10.1007/978-1-4419-6749-7_33).

McCollum, J. R., W. F. Krajewski, R. R. Ferraro, M. B. Ba, 2002: Evaluation of biases of satellite rainfall estimation algorithms over the continental United StatesJ. Appl. Meteor.41, 1065-1080. (DOI: 10.1175/1520-0450(2002)041<1065:EOBOSR>2.0.CO;2).

McCombs, A. G. and M. Yuan, 2016: Assessment of the importance of moderate spatial resolution cloud climatology data in solar radiation modelingPhysical Geography37:5, 313-326. (DOI: 10.1080/02723646.2016.1204205).

McCombs, A. G., and M. Yuan, 2016: Assessment of the importance of moderate spatial resolution cloud climatology data in solar radiation modelingPhysical Geography37:5, 313-326. (DOI: 10.1080/02723646.2016.1204205).

McCoshum, S. M., and K. A. Baum, 2014: Sex ratios and Ophryocystis elektroscirrha infection levels of Danaus plexippus during spring migration through Oklahoma, USAEntomologia Experimentalis et Applicata153(3), 266-272. (DOI: 10.1111/eea.12248).

McGovern, A., D. J. Gagne II, J. B. Basara, T. M. Hamill, and D. Margolin, 2015: Solar Energy Prediction: An International Contest to Initiate Interdisciplinary Research on Compelling Meteorological ProblemsBulletin of the American Meteorological SocietyAugust 2015, 1388-1395. (DOI: 10.1175/BAMS-D-14-00006.1).

McGovern, A., D. J. Gagne II, J. K. Williams, R. A. Brown, and J. B. Basara, 2014: Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learningMachine Learning95, 27-50. (DOI: 10.1007/s10994-013-5343-x).

McGovern, A., K. L. Elmore, D. J. Gagne, S. E. Haupt, C. D. Karstens, R. Lagerquist, T. Smith, and J. K. Williams, 2017: Using Artificial Intelligence to Improve Real-Time Decision-Making for High-Impact WeatherBull. Amer. Meteor. Soc.98, 2073-2090. (DOI: 10.1175/BAMS-D-16-0123.1).

McGranahan, D. A., D. M. Engle, S. D. Fuhlendorf, S. L. Winter, J. R. Miller, and D. M. Debinski, 2013: Inconsistent outcomes of heterogeneity-based management underscore importance of matching evaluation to conservation objectivesEnvironmental Science and Policy31, 53-60. (DOI: 10.1016/j.envsci.2013.03.005).

McGranahan, D.A., D.M. Engle, S.D. Fuhlendorf, S.J. Winter, J.R. Miller, and D.M. Debinski, 2012: Spatial heterogeneity across five rangelands managed with pyric-herbivoryJ. of Appl. Ecology49 (4), 903-910. (DOI: 10.1111/j.1365-2664.2012.02168.x).

McKnight, D. T. and D. B. Ligon, 2016: Chorusing PAtterns of a Diverse Anuran Community with an Emphasis on Southern Crawfish Frogs (Lithobates Areolatus Areolatus)Journal of North American Herpetology2016(1), 1-10.

McManus, G., T. W. Schmidlin, and C. A. Fiebrich, 2013: A New Minimum Temperature Record for OklahomaBulletin of the American Meteorological Society94(4), 469-471. (DOI: 10.1175/BAMS-D-11-00169.1).

McMillan, N.A. S.D. Fuhlendorf, L.E. Goodman, C.A. Davis, B. Luttbeg, and R.G. Hamilton, 2022: Does fire and herbicide benefit cattle production in invaded grassland landscapes?Agriculture, Ecosystems & Environment340, . (DOI: 10.1016/j.agee.2022.108163).

McNeff, C., J. Talley, C.A. Robison, and B.K. Wilson, 2020: The effects of fly control strategies on fly abundance, fly avoidance behaviors, and performance in feedlot bulls and steersJournal of Animal Science98 (2), 62-63. (DOI: 10.1093/jas/skz397.143).

McPherson, R. A., 2007: A review of vegetation-atmosphere interactions and their influences on mesoscale phenomenaProgress in Physical Geography31, 261-285. (DOI: 10.1177/0309133307079055).

McPherson, R. A., and K. C. Crawford, 1996: The EARTHSTORM Project: encouraging the use of real-time data from the Oklahoma Mesonet in K-12 classroomsBull. Amer. Meteor. Soc.77, 749-761. (DOI: 10.1175/1520-0477(1996)077<0749:EA>2.0.CO;2).

McPherson, R. A., C. Fiebrich, K. C. Crawford, R. L. Elliott, J. R. Kilby, D. L. Grimsley, J. E. Martinez, and Coauthors, 2007: Statewide monitoring of the mesoscale environment: A technical update on the Oklahoma MesonetJ. Atmos. Oceanic Tech.24, 301-321. (DOI: 10.1175/JTECH1976.1).

McPherson, R. A., D. J. Stensrud, and K. C. Crawford, 2003: The impact of Oklahoma's winter wheat belt on the mesoscale environmentMon Wea. Rev.132, 405-421. (DOI: 10.1175/1520-0493(2004)132<0405:TIOOWW>2.0.CO;2).

McPherson, R. A., J. D. Lane, K. C. Crawford, and W. G. McPherson, 2010: A climatological analysis of heatbursts in Oklahoma (1994-2009)International Journal of Climatology31(4), 531-544. (DOI: 10.1002/joc.2087).

McPherson, R.A., and D.J. Stensrud, 2005: Influences of a Winter Wheat Belt on the Evolution of the Boundary LayerMon Wea. Rev.133, 2178-2199. (DOI: 10.1175/MWR2968.1).

McQueen, R.W., M.M. Beverly, S.F. Kelley, and M. Anderson, 2020: Comparing Natural Vegetation and Food Plot Preference against Supplemental Protein Pellets in Captive White-tailed Deer (Odocoileus virginianus) and Exotic SpeciesJournal of Animal Science98 (2), 14. (DOI: 10.1093/jas/skz397.031).

Melnikov, V.M., D.S. Zrni?, R.J. Doviak, P.B. Chilson, D.B. Mechem, Y.L. Kogan, 2011: Prospects of the WSR-88D Radar for Cloud StudiesJ. Appl. Meteor. Climatol.50, 859-872. (DOI: 10.1175/2010JAMC2303.1).

Mendoza-Sanchez, I., M. S. Phanikumar, J. Niu, J. R. Masoner, I. M. Cozzarelli, and J. T. McGuire, 2013: Quantifying wetland–aquifer interactions in a humid subtropical climate region: an integrated approachJournal of Hydrology498, 237-253. (DOI: 10.1016/j.jhydrol.2013.06.022).

Miao, Q., and B. Geerts, 2007: Finescale Vertical Structure and Dynamics of Some Dryline Boundaries Observed in IHOPMon Wea. Rev.135, 4161-4184. (DOI: 10.1175/2007MWR1982.1).

Miller, D. A., S. Wu, and D. Kitzmiller, 2013: Spatial and Temporal Resolution Considerations in Evaluating and Utilizing Radar Quantitative Precipitation EstimatesJournal of Operational Meteorology1(15), 168-184. (DOI: 10.15191/nwajom.2013.0115).

Miller, G.A., R.W. Collins, K.K. Muraleetharan, and T.Z. Abuawad, 2021: Application of in situ tests in unsaturated soils to analysis of spread footings. Soils and RocksSciELO Brazil44 (3), e2021065321. (DOI: 10.28927/SR.2021.065321).

Miller, J. L., and D. B. Ligon, 2014: Sex ratios in naturally incubating Macrochelys temminckii nests, a species with type II temperature-dependent sex determinationJournal of Thermal Biology39, 6-11. (DOI: 10.1016/j.jtherbio.2013.11.002).

Miller, W.J.S., C.K. Potvin, M.L. Flora, B.T. Gallo, L.J. Wicker, T.A. Jones, P.S. Skinner, B. Matilla, and K.H. Knopfmeier, 2021: Exploring the Usefulness of Downscaling Free Forecasts from the Warn-on-Forecast SystemWeather and Forecasting, , . (DOI: 10.1175/WAF-D-21-0079.1).

Mills, B.W. Brorsen, E. Tostao, and J.T. Biermacher, 2022: Wheat nitrogen response conditional on past yield and rainfall: A step in improving optimal nitrogen applicationsAgricultural and Environmental Letters7 (1)), e20061. (DOI: 10.1002/ael2.20061).

Mishra, V., J. F. Cruise, J. R. Mecikalski, C. R. Hain, and M. C. Anderson, 2013: A remote-sensing driven tool for estimating crop stress and yieldsRemote Sensing5(7), 3331-3356. (DOI: 10.3390/rs5073331).

Mitchell, K. E., D, Lohmann , P. R. Houser, E. F. Wood, J. C. Schaake, A. Robock, B. A. Cosgrove, J. Sheffield, and Coauthors, 2004: The multi-institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling systemJ. Geophys. Res.109, D07S90. D07S90.1-D07S90.32 .

Mittelstat, A. R., D. E. Storm, and M. J. White, 2016: Using SWAT to enhance watershed-based plans to meet numeric water quality standardsSustainability of Water Quality and Ecology7, 5-21. (DOI: 10.1016/j.swaqe.2016.01.002).

Mo, K.C., L.N. Long, Y. Xia, S.K. Yang, J.E. Schemm, and M. Ek, 2011: Drought Indices Based on the Climate Forecast System Reanalysis and Ensemble NLDASJ. of Hydromet.12, 181-205. (DOI: 10.1175/2010JHM1310.1).

Moehlenpah, A.N., L.P. Ribeiro, R. Puchala, A.L. Goetsch, P. Beck, A. Pezeshki, M.A. Gross, A.L. Holder, and D.L. Lalman, 2021: Water and forage intake, diet digestibility, and blood parameters of beef cows and heifers consuming water with varying concentrations of total dissolved saltsJournal of Animal Science99(10), p.skab282. (DOI: 10.1093/jas/skab282).

Mohammed, Y. A., J. Kelly, B. K. Chim, E. Rutto, K. Waldschmidt, J. Mullock, G. Torres, K. G. Desta, and W. Raun, 2013: Nitrogen fertilizer management for improved grain quality and yield in winter wheat in OklahomaJournal of Plant Nutrition36, 749-761. (DOI: 10.1080/01904167.2012.754039).

Mohanty, B. P., J. S. Famiglietti, and T. H. Skaggs, 2000: Evolution of soil moisture spatial structure in a mixed vegetation pixel during the Southern Great Plains 1997 (SGP97) Hydrology ExperimentWater Resources Research36, 3675-3686. (DOI: 10.1029/2000WR900258).

Mohr, K. I., J. S. Famiglietti, A. Boone, and P. J. Starks, 2000: Modeling soil moisture and surface flux variability with an untuned land surface scheme: A case study from the Southern Great Plains 1997 Hydrology ExperimentJ. Hydrometeor.1, 154-169. (DOI: 10.1175/1525-7541(2000)001<0154:MSMASF>2.0.CO;2).

Monroe, A. P., and T. J. O'Connell, 2014: Winter bird habitat use in a heterogeneous tallgrass prairieThe American Midland Naturalist171(1), 97-115. (DOI: 10.1674/0003-0031-171.1.97).

Monteverdi, J. P., and R. Edwards, 2010: The redevelopment of a warm core structure in Erin: A case of inland tropical storm formationElectronic J. Severe Storms Meteor.5 (6), 1-18.

Moore, B. F., G. B. Anderson, M. G. Johnson, S. Brown, K. K. Bradley, and S. Magzamen, 2017: Case-crossover analysis of heat-coded deaths and vulnerable subpopulations: Oklahoma, 1990–2011International Journal of Biometeorology61 (11), 1973-1981. (DOI: 10.1007/s00484-017-1387-0).

Moore, B., J.T. Biermacher, B.W. Brorsen, M. Johnson, B. Nichols, and E. Whitley, 2021: Effects of a transitional supplement on beef heifers grazing wheat pastureApplied Animal Science37 (5), 602-613. (DOI: 10.15232/aas.2021-02168).

Moore, K. G. and C. L. Jones, 2017: Impact of a polyethylene liner on the storage of winter canola seed in unaerated steel binsJournal of Stored Products Research73, 125-128. (DOI: 10.1016/j.jspr.2017.08.003).

Moriasi, D.N. and P. J. Starks, 2010: Effects of the resolution of soil dataset and precipitation dataset on SWAT2005 streamflow calibration parameters and simulation accuracyJournal of Soil and Water Conservation65(2), 63-78. (DOI: 10.2489/jswc.65.2.6).

Moriasi, D.N., N. Pai, J. L. Steiner, P. H. Gowda, M. Winchell, H. Rathjens, P. J. Starks, and J. Al. Verse, 2019: SWAT-LUT: A Desktop Graphical User Interface for Updating Land Use in SWATJ. of the American Water Resources Association, , 13 pp. (DOI: 10.1111/1752-1688.12789).

Moriasi, D.N., P. J. Starks, J. L. Steiner, J. A. Guzman, P. B. Allen, and J. W. Naney, 2014: Upper Washita River experimental watersheds: Physiography dataJournal of Environmental Quality43(4), 1298-1309. (DOI: 10.2134/jeq2013.08.0337).

Morris, D. A., K. C. Crawford, K. A. Kloesel, and G. Kitch, 2002: OK-FIRST: an example of successful collaboration between the meteorological and emergency response communities on 3 May 1999Wea. Forecasting17, 567-576. (DOI: 10.1175/1520-0434(2002)017<0567:OFAEOS>2.0.CO;2).

Morris, D. A., K. C. Crawford, K. A. Kloesel, and J. M. Wolfinbarger, 2001: OK-FIRST: a meteorological information system for public safetyBull. Amer. Meteor. Soc.82, 1911-1923. (DOI: 10.1175/1520-0477(2001)082<1911:OFAMIS>2.3.CO;2).

Morrison, H., S. A. Tessendorf, K. Ikeda, and G. Thompson, 2012: Sensitivity of a Simulated Midlatitude Squall Line to Parameterization of Raindrop BreakupMon. Wea. Rev.140, 2437-2460.

Morrissey, M. L., A. Albers, J. S. Greene, and S. Postawko, 2010: An Isofactorial Change-of-Scale Model for the Wind Speed Probability Density FunctionJournal of Atmospheric and Oceanic Technology27, 257-273. (DOI: 10.1175/2009JTECHA1313.1).

Morrissey, M. L., and J. S. Greene, 1998: Using the Oklahoma Mesonet to develop and test a sampling error statistic for meteorological time seriesJ. Geophys. Res.108, 8979-8984. (DOI: 10.1029/98JD00082).

Morrissey, M. L., J. A. Maliekal, J. S. Greene, and J. M. Wang, 1995: The uncertainty of simple spatial averages using rain-gauge networksWater Resources Research31(8), 2011-2017. (DOI: 10.1029/95WR01232).

Morrissey, M. L., W. E. Cook, and J. S. Greene, 2010: An Improved Method for Estimating the Wind Power Density Distribution FunctionJournal of Atmospheric and Oceanic Technology27, 1153-1164. (DOI: 10.1175/2010JTECHA1390.1).

Morrissey, M.L., and J.S. Greene, 2012: Tractable Analytic Expressions for the Wind Speed Probability Density Functions Using Expansions of Orthogonal PolynomialsJ. Appl. Meteor. Climatol.51, 1310–1320. (DOI: 10.1175/JAMC-D-11-0236.1).

Mosali, J., J. T. Biermacher, B. Cook, and J. Blanton, 2013: Bioenergy for cattle and cars: a switchgrass production system that engages cattle producersAgronomy Journal105(4), 960-966. (DOI: 10.2134/agronj2012.0384).

Moser, G. and S. B. Serpico, 2009: Automatic Parameter Optimization for Support Vector Regression for Land and Sea Surface Temperature Estimation From Remote Sensing DataIEEE Transactions on Geoscience and Remote Sensing47, 909-921. (DOI: 10.1109/TGRS.2008.2005993).

Mullens, E. D., L. M. Leslie, and P. J. Lamb, 2016: Impacts of Gulf of Mexico SST Anomalies on Southern Plains Freezing Precipitation: ARW Sensitivity Study of the 28–30 January 2010 Winter StormJ. Appl. Meteor. Climatol.55, 119-143. (DOI: 10.1175/JAMC-D-14-0289.1).

Mullens, E. D., L. M. Leslie, and P. J. Lamb, 2016: Synoptic Pattern Analysis and Climatology of Ice and Snowstorms in the Southern Great Plains, 1993–2011Wea. Forecasting31, 1109-1136. (DOI: 10.1175/WAF-D-15-0172.1).

Mullens, E., and R. McPherson, 2023: The Changing Nature of Hazardous Weather and Implications for Transportation: Example from Oklahoma, USAClimate11(2). (DOI: 10.3390/cli11020032).

Muller, C. L., L. Chapman, C. S. B. Grimmond, D. T. Young, and X. Cai, 2013: Sensors and the city: a review of urban meteorological networksIntl. J. of Clim.33, 1585-1600. (DOI: 10.1002/joc.3678).

Murley, C. B., S. Sharma, J. G. W., D. B. Arnall, and W. R. Raun,, 2018: Yield response of corn and grain sorghum to row offsets on subsurface drip lateralsAgricultural Water Management208, 357-362. (DOI: 10.1016/j.agwat.2018.06.038).

Murphey, H.V., R.M. Wakimoto, C. Flamant, and D.E. Kingsmill, 2006: Dryline on 19 June 2002 during IHOP. Part I: Airborne Doppler and LEANDRE II Analyses of the Thin Line Structure and Convection InitiationMon Wea. Rev.134, 406-430. (DOI: 10.1175/MWR3063.1).

Na-Yemeh, D.Y. T.A. Legg and L.H. Lambert, 2022: Economic Value of a Weather Decision Support System for Oklahoma Public Safety OfficialsAnnals of the American Association of Geographers, , . (DOI: 10.1080/24694452.2022.2108747).

Na-Yemeh, D.Y., C.A. Fiebrich, J.E. Hocker, and M.A. Shafer, 2022: Assessing the Impacts of a Weather Decision Support System for Oklahoma Public Safety OfficialsWeather, Climate, and Society, , . (DOI: 10.1175/WCAS-D-21-0086.1).

Naeimi, V., K. Scipal, Z. Bartalis, S. Hasenauer and W. Wagner, 2009: An Improved Soil Moisture Retrieval Algorithm for ERS and METOP Scatterometer ObservationsIEEE Transactions on Geoscience and Remote Sensing47 (7), 1999-2013. (DOI: 10.1109/TGRS.2008.2011617).

Nallapareddy, A., A. Shapiro, J.J. Gourley, 2011: A Climatology of Nocturnal Warming Events Associated with Cold-Frontal Passages in OklahomaJ. of Appl. Metr. And Clim.50, 2042-2061. (DOI: 10.1175/JAMC-D-11-020.1).

Nansen C., E. L. Bonjour, M. W. Gates, T. W. Phillips, G. W. Cuperus, and M. E. Peyton, 2004: Model of Cryptolestes ferrugineus flight activity outside commercial steel grain bins in Central OklahomaEnvironmental Entomology33, 426-434. (DOI: 10.1603/0046-225X-33.2.426).

Narasimhan, R., J. Keller, G. Subramaniam, E. Raasch, B. Croley, K. Duncan, and W. T. Potter, 2000: Ozone modeling using neural networksJ. Appl. Meteor.38, 291-296. (DOI: 10.1175/1520-0450(2000)039%3C0291:OMUNN%3E2.0.CO;2).

Natenberg, E., J. Gao, M. Xue, and F. H. Carr, 2013: Analysis and Forecast of a Tornadic Thunderstorm Using Multiple Doppler Radar Data, 3DVAR, and ARPS ModelAdvances in Meteorology2013, Article ID 281695, 18 pg. (DOI: 10.1155/2013/281695).

Neiman, P. J., and R. M. Wakimoto, 1999: The Interaction of a Pacific Cold Front with Shallow Air Masses East of the Rocky MountainsMon Wea. Rev.127, 2102-2127. (DOI: 10.1175/1520-0493(1999)127<2102:TIOAPC>2.0.CO;2).

Nelson, A., D. Moriasi, A.-M. Fortuna, J. L. Steiner, P. J. Starks, B. Northup, and J. Garbrecht, 2020: Runoff Water Quantity and Quality Data from Native Tallgrass Prairie and Crop-livestock Systems in Oklahoma between 1977 and 1999J. of Environmental Quality, , . (DOI: 10.1002/jeq2.20075).

Nelson, B. R., W. F. Krajewski, A. Kruger, J. A. Smith, and M. L. Baeck, 2003: Archival precipitation data set for the Mississippi River Basin: algorithm developmentJ. Geophys. Res.108, 8857. doi:10.1029/2002JD003158.

Nemunaitis-Berry, K. L., P. M. Klein, J. B. Basara, and E. Fedorovich, 2017: Sensitivity of Predictions of the Urban Surface Energy Balance and Heat Island to Variations of Urban Canopy Parameters in Simulations with the WRF ModelJ. Appl. Meteor. Climatol.56, 573-595. (DOI: 10.1175/JAMC-D-16-0157.1).

Neumann, L.K., S.D. Fuhlendorf, C.D. Davis, and S.M. Wilder, 2022: Climate alters the movement ecology of a non-migratory birdEcology and volution, , 13 pp. (DOI: 10.1002/ece3.8869).

Neumann, L.K., C.D. Davis, S.D. Fuhlendorf, and R.D. Elmore, 2023: Does weather drive habitat use and movement of a nonmigratory bird?Ecosphere, , 17 pp. (DOI: 10.1002/ecs2.4407).

Newhouse, C. P., and E. Levetin, 2004: Correlation of environmental factors with asthma and rhinitis symptoms in Tulsa, OK.Annals of Allergy, Asthma and Immunology92, 356-366. (DOI: 10.1016/S1081-1206(10)61575-X).

Newman, J. F., and P. M. Klein, 2014: The impacts of atmospheric stability on the accuracy of wind speed extrapolation methodsResources3(1), 81-105. (DOI: 10.3390/resources3010081).

Newman, J. F., T. A. Bonin, P. M. Klein, S. Wharton, and R. K. Newsom, 2016: Testing and validation of multi-lidar scanning strategies for wind energy applicationsWind Energ.19, 2239-2254. (DOI: 10.1002/we.1978).

Nicol, J. C., and A. J. Illingworth, 2013: The effect of phase-correlated returns and spatial smoothing on the accuracy of radar refractivity retrievalsJ. Atmos. and Ocean. Tech.30(1), 22-39. (DOI: 10.1175/JTECH-D-12-00077.1).

Niu, S., R. A. Sherry, X. Zhou, S. Wan, and Y. Luo, 2010: Nitrogen regulation of the climate‚Äìcarbon feedback: evidence from a long-term global change experimentEcology91, 3261-3273. (DOI: 10.1890/09-1634.1).

Niyogi, D., T. Holt, S. Zhong, P. C. Pyle, and J. B. Basara, 2006: Urban and land surface effects on the 30 July 2003 MCS event observed in the Southern Great PlainsJ. Geophys. Res.111, D19107. (DOI: 10.1029/2005JD006746).

Norman, J. M., M. C. Anderson, W. P. Kustas, A. N. French, J. Mecikalski, R. Torn, G. R. Diak, T. J. Schmugge, and B.C.W. Tanner, 2003: Remote sensing of surface energy fluxes at 101-m pixel resolutionsWater Resour. Res.39, 1221. (DOI: 10.1029/2002WR001775).

Northup, B. K. and S. C. Rao, 2015: Green manure and forage potential of lablab in the US southern PlainsAgronomy Journal107(3), 1113-1118. (DOI:10.2134/agronj14.0455).

Noto, L. V., 2013: Exploiting the topographic information in a PDM-based conceptual hydrological modelJournal of Hydrologic Engineering19(6), 1173-1185. (DOI: 10.1061/(ASCE)HE.1943-5584.0000908).

Nunes Biral, V.C., R.E. Will, and C.B. Zou, 2019: Establishment of Quercus marilandica Muenchh. and Juniperus virginiana L. in the Tallgrass Prairie of Oklahoma, USA Increases Litter Inputs and Soil Organic CarbonForests10(4), 329. (DOI: 10.3390/f10040329).

Oberheu D. G., and C. B. Dabber, 2001: Aflatoxin production in supplemental feeders provided for northern bobwhite in Texas and Oklahoma J. Wildlife Diseases37, 475-480. (DOI: 10.7589/0090-3558-37.3.475).

Oberheu D. G., and C. B. Dabber, 2001: Aflatoxin contamination in supplemental and wild foods of northern bobwhiteEcotoxicology10, 125-129. (DOI: 10.1023/A:1008954126530).

Ochsner, T. E., M. H. Cosh, R. H. Cuenca, W. A. Dorigo, C. S. Draper, Y. Hagimoto, Y. H. Kerr, E. G. Njoku, E. E. Small, et. al, 2013: State of the Art in Large-Scale Soil Moisture MonitoringSoil Sci. Soc. Am. J.77, 1888-1919. (DOI: 10.2136/sssaj2013.03.0093).

Ochsner, T.E., E. Linde, M. Haffner, and J. Dong, 2019: Mesoscale Soil Moisture Patterns Revealed Using a SparseIn Situ Network and Regression KrigingWater Resources Research55, 4785-4800. (DOI: 10.1029/2018WR024535).

Ogunsola, O. T., and L. Song, 2015: Application of a Simplified Thermal Network Model for Real-Time Thermal Load EstimationEnergy and Buildings96, 309-318. (DOI: 10.1016/j.enbuild.2015.03.044).

Oldak, A. T. J. Jackson, Y. Pachepsky, 2002: Using GIS in passive microwave soil moisture mapping and geostatistical analysis Int. J. Geographical Information Science16, 681-698. (DOI: 10.1080/13658810210149407).

Omara, P., L. Aula, F.B. Oyebiyi, E.M. Eickhoff, J. Carpenter, and W.R. Raun, 2020: Biochar Application in Combination with Inorganic Nitrogen Improves Maize Grain Yield, Nitrogen Uptake, and Use Efficiency in Temperate SoilsAgronomy10(9), 13 pp. (DOI: 10.3390/agronomy10091241).

Ovtchinnikov, M., T. Ackerman, R. Marchand, and M. Khairoutdinov, 2006: Evaluation of the multiscale modeling framework using data from the Atmospheric Radiation Measurement programJ. Climate19, 1716-1729. (DOI: 10.1175/JCLI3699.1).

Owe, M., R. de Jeu, and J. Walker, 2001: A methodology for surface soil moisture and vegetation optical depth retrieval using the microwave polarization difference indexIEEE Transactions on Geoscience and Remote Sensing39, 1643-1654. (DOI: 10.1109/36.942542).

Owe, M., R. de Jeu, and T. Holmes, 2008: Multisensor historical climatology of satellite-derived global land surface moistureJ. Geophys. Res.113, F01002. (DOI: 10.1029/2007JF000769).

Pablos, M., A. González-Zamora, N. Sánchez, and J. Martínez-Fernández, 2018: Assessment of root zone soil moisture estimations from SMAP, SMOS and MODIS observationsRemote Sensing10(7), p.981. (DOI: 10.3390/rs10070981).

Pablos, M., A. Gonzalez-Zaora, N. Sanchez, and J. Martinez-Fernandez, 2018: Assessment of Root Zone Soil Moisture Estimations from SMAP, SMOS and MODIS ObservationsRemote Sens. 10(7), 981. (DOI: 10.3390/rs10070981).

Palmer, R. D., D. Bodine, M. Kumjian, B. Cheong, G. Zhang, Q. Cao, H.B. Bluestein, A. Ryzhkov, T. Yu and Y. Wang, 2011: Observations of the 10 May 2010 tornado outbreak using OU-PRIME: Potential for new science with high-resolution polarimetric radarBull. Amer. Meteor. Soc.92, 871-891.

Pan, M., and E.F. Wood, 2006: Data assimilation for estimating the terrestrial water budget using a constrained Ensemble Kalman FilterJ. Hydrometeor.7, 534-547. (DOI: 10.1175/JHM495.1).

Pan, S. and J. Gao, 2022: A Method for Assimilating Pseudo Dewpoint Temperature as a Function of GLM Flash Extent Density in GSI-Based EnKF Data Assimilation System – A Proof of Concept studyEarth and Space Science, , 50 pp. (DOI: 10.1029/2022EA002378).

Pan, W., R. P. Boyles, J. G. White, J. L. Heitman, 2012: Characterizing Soil Physical Properties for Soil Moisture Monitoring with the North Carolina Environment and Climate Observing NetworkJ. Atmos. Oceanic Technol.29, 933–943. (DOI: 10.1175/JTECH-D-11-00104.1).

Pandit, M.M., E.S. Bridge, and J.D. Ross, 2022: Environmental conditions lead to shifts in individual communication, which can cause cascading effects on soundscape compositionEcology and Evolution, , 15 pp. (DOI: 10.1002/ece3.9359).

Parham, J. A., S. P. Deng, H. N. Da, H. Y. Sun, and W. R, Raun, 2003: Long-term cattle manure application in soil. II. Effect on soil microbial populations and community structureBiology and Fertility of Soils38, 209-215. (DOI: 10.1007/s00374-003-0657-7).

Parinussa, R. M., M. T. Yilmaz, M. C. Anderson, C. R. Hain, and R. A. M. Jeu, 2014: An intercomparison of remotely sensed soil moisture products at various spatial scales over the Iberian PeninsulaHydrol. Process.28(18), 4865-4876. (DOI: 10.1002/hyp.9975).

Pathe, C., W. Wagner, D. Sabel, M. Doubkova, J. B. Basara, 2009: Using ENVISAT ASAR Global Model Data for Surface Soil Moisture Retrieval over OklahomaIEEE Transactions on Geoscience and Remote Sensing47, 468-480. (DOI: 10.1109/TGRS.2008.2004711).

Patrignani, A., and T.E. Ochsner, 2018: Modeling transient soil moisture dichotomies in landscapes with intermixed land coversJournal of HydrologyIn Press, . (DOI: 10.1016/j.jhydrol.2018.09.049).

Patrignani, A., C.B. Godsey, and T. E. Ochsner, 2019: No-Till Diversified Cropping Systems for Efficient Allocation of Precipitation in the Southern Great PlainsAgrosystems, Geosciences & Environment2(1), . (DOI: 10.2134/age2018.08.0026).

Patrignani, A., C.B. Godsey, T.E. Ochsner, and J.T. Edwards, 2012: Soil Water Dynamics of Conventional and No-Till Wheat in the Southern Great PlainsSoil Sci. Soc. Of America Jour.76 (5), 1768-1775. (DOI: 10.2136/sssaj2012.0082).

Patrignani, A., R. P. Lollato, T. E. Ochsner, C. B. Godsey, and J. Edwards, 2014: Yield Gap and Production Gap of Rainfed Winter Wheat in the Southern Great PlainsAgronomy Journal106(4), 1329-1339. (DOI: 10.2134/agronj14.0011).

Payne, A., and D. L. Smith, 2011: Comparison of pecan scab predictions in Oklahoma using weather inputs from the National Weather Service, the Oklahoma Mesonet, and onsite-monitoringPhytopathology101(6), S138-S138.

Payne, A.F. and D.L. Smith, 2012: Development and Evaluation of Two Pecan Scab Prediction ModelsPlant Disease96(9), 1358-1364. (DOI: 10.1094/PDIS-03-11-0202-RE).

Peppler, R. A., K. E. Kehoe, J. W. Monroe, A. K. Theisen, and S. T. Moore, 2016: The ARM Data Quality ProgramMeteorological Monographs57, 12.1-12.14. (doi: 10.1175/AMSMONOGRAPHS-D-15-0039.1).

Pereira Fo., A. J., and K. C. Crawford, 1999: Mesoscale precipitation fields. Part I: statistical analysis and hydrologic responseJ. Appl. Meteor.38, 82-101. (DOI: 10.1175/1520-0450(1999)038<0082:MPFPIS>2.0.CO;2).

Pereira Fo., A. J., K. C. Crawford, and C. L. Hartzell, 1998: Improving WSR-88D hourly rainfall estimatesWea. Forecasting13, 1016-1028. (DOI: 10.1175/1520-0434(1998)013<1016:IWHRE>2.0.CO;2).

Pereira Fo., A. J., K. C. Crawford, and D. J. Stensrud, 1999: Mesoscale precipitation fields. Part II: hydrometeorologic modelingJ. Appl. Meteor.38,  102-125. (DOI: 10.1175/1520-0450(1999)038<0102:MPFPIH>2.0.CO;2).

Peters-Lidard, C. D., F. Pan, and E. F. Wood, 2001: A re-examination of modeled and measured soil moisture spatial variability and its implications for land surface modelingAdvances in Water Resources24, 1069-1083. (DOI: 10.1016/S0309-1708(01)00035-5).

Pettet, C. R., and R. H. Johnson, 2003: Airflow and precipitation structure of two leading stratiform mesoscale convective systems determined from operational datasetsWea. Forecasting18, 685-699. (DOI: 10.1175/1520-0434(2003)018<0685:AAPSOT>2.0.CO;2).

Pierce, K.N., R.R. Reuter, C.A. Robison, and B.K. Wilson, 2020: The effect of bunk preference on performance, intake, and efficiency of feedlot steers using an automated individual feeding systemJournal of Animal Science98 (2), 15. (DOI: 10.1093/jas/skz397.033).

Pillar-Little, E.A., B.R. Greene, F.M. Lappin, T.M. Bell, A.R. Segales, G.B.H. de Azevedo, W. Doyle, S.T. Kanneganti, et al., 2021: Observations of the thermodynamic and kinematic state of the atmospheric boundary layer over the San Luis Valley, CO, using the CopterSonde 2 remotely piloted aircraft system in support of the LAPSE-RATE field campaignEarth System Science Data13(2), 269-280. (DOI: 10.5194/essd-13-269-2021).

Pinker R.T., Y. Ma, W. Chen, G. Hulley, E. Borbas, T. Islam, C. Hain, K. Cawse-Nicholson, S. Hook, and J. Basara, 2019: Towards a Unified and Coherent Land Surface Temperature Earth System Data Record from Geostationary SatellitesRemote Sensing11(12), 1399. (DOI: 10.3390/rs11121399).

Pinker, R.T., D. Sun, M.P. Hung, C. Li, and J.B. Basara, 2009: Evaluation of Satellite Estimates of Land Surface Temperature from GOES over the United StatesJ. Appl. Meteor. Climatol.48, 167-180. (DOI: 10.1175/2008JAMC1781.1).

Potvin, C. K., E. M. Murillo, M. L. Flora, and D. M. Wheatley, 2017: Sensitivity of Supercell Simulations to Initial-Condition ResolutionJ. Atmos. Sci.74, 5-26. (DOI: 10.1175/JAS-D-16-0098.1).

Poudel, P., N.M. Bello, R.P. Lollato, and P.D. Alderman, 2022: A hierarchical Bayesian approach to dynamic ordinary differential equations modeling for repeated measures data on wheat growthField Crops Research283, . (DOI: 10.1016/j.fcr.2022.108549).

Prada, J., and J. R. Dorronsoro, 2018: General noise support vector regression with non-constant uncertainty intervals for solar radiation predictionJournal of Modern Power Systems and Clean Energy, , 1-13. (DOI: 10.1007/s40565-018-0397-1).

Prakash, A., and S. K. Singh, 2014: Towards an efficient regression model for solar energy prediction2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH)Ghaziabad, 18-23. (DOI: 10.1109/CIPECH.2014.7019040).

Pryor, K. L., 2015: Progress and developments of downburst prediction applications of GOESWeather and Forecasting30(5), 1182-1200. (DOI: 10.1175/WAF-D-14-00106.1).

Pryor, K.L., 2011: Microburst Nowcasting Applications of GOESElectronic Journal of Operational Metr.2011-EJ#, 22 pg.

Pu, Z., C. Lin, X. Dong, and S. K. Kruger, 2018: Sensitivity of Numerical Simulations of a Mesoscale Convective System to Ice Hydrometeors in Bulk Microphysical ParameterizationPure and Applied Geophysics, , 1-24. (DOI: 10.1007/s00024-018-1787-z).

Pu, Z., C. Lin, X. Dong, and S. Krueger, 2018: Sensitivity of Numerical Simulations of a Mesoscale Convective System to Ice Hydrometeors in Bulk Microphysical ParameterizationPure and Applied Geophysics176, 24 pp. (DOI: 10.1007/s00024-018-1787-z).

Purcell, L. C., J. T. Edwards, and K. R. Brye, 2007: Soybean yield and biomass responses to cumulative transpiration: questioning widely-held beliefsField Crops Res.101, 10-18. (DOI: 10.1016/j.fcr.2006.09.002).

Putnam, B., M. Xue, Y. Jung, N. Snook, and G. Zhang, 2019: Ensemble Kalman Filter Assimilation of Polarimetric Radar Observations for the 20 May 2013 Oklahoma Tornadic Supercell CaseMonthly Weather Review147(7), 2511-2533. (DOI: 10.1175/MWR-D-18-0251.1).

Putnam, B.J., Y. Jung, N. Yussouf, D. Stratman, T.A. Supinie, M. Xue, C. Kuster, and J. Labriola, 2021: The Impact of Assimilating Z DR Observations on Storm-Scale Ensemble Forecasts of the 31 May 2013 Oklahoma Storm EventMonthly Weather Review149(6), 1919-1942. (DOI: 10.1175/MWR-D-20-0261.1).

Qi, Y., S. Martinaitis, J. Zhang, and S. Cocks, 2016: A Real-Time Automated Quality Control of Hourly Rain Gauge Data Based on Multiple Sensors in MRMS SystemJ. Hydrometeor.17, 1675-1691. (DOI: 10.1175/JHM-D-15-0188.1).

Qian, Y., M. Huang, B. Yang, and L. K. Berg, 2013: A modeling study of irrigation effects on surface fluxes and land–air–cloud interactions in the Southern Great PlainsJournal of Hydrometeorology14.3, 700-721. (DOI: 10.1175/JHM-D-12-0134.1).

Qiao, L., C. B. Zou, E. Stebler, and R. E. Will, 2017: Woody plant encroachment reduces annual runoff and shifts runoff mechanisms in the tallgrass prairie, USAWater Resour. Res.53, 4838-4849. (DOI: 10.1002/2016WR019951).

Qiao, L., C. B. Zou, R. E. Will, and E. Stebler, 2015: Calibration of SWAT model for woody plant encroachment using paired experimental watershed dataJ. of Hydrol.523, 231-239. (DOI: 10.1016/j.jhydrol.2015.01.056).

Qin, X. U., and Z. Binbin, 2003: Retrieving soil water contents from soil temperature measurements by using linear regressionAdvances in Atmospheric Sciences6, 849-858. (DOI: 10.1029/2002JD003245).

Qiu, X., Q. Xu, C. Qiu, K. Nai, and P. Zhang, 2013: Retrieving 3D Wind Field from Phased Array Radar Rapid ScansAdvances in Meteorology2013, Article ID 792631, 16 pg. (DOI: 10.1155/2013/792631).

Quiring, S.M., T.W. Ford, J.K. Wang, A. Khong, E. Harris, T. Lindgren, D.W. Goldberg, and Z. Li, 2016: The North American Soil Moisture Database: Development and ApplicationsBull. Amer. Meteor. Soc.97, 1441-1459. (DOI: 10.1175/BAMS-D-13-00263.1).

Rabin, R. M., and T. J. Schmit, 2006: Estimating soil wetness from the GOES sounderJ. Atmos. Oceanic Technol.23, 991-1003. (DOI: 10.1175/JTECH1895.1).

Raghav, P., and M. Kumar, 2021: Retrieving gap-free daily root zone soil moisture using Surface Flux Equilibrium theoryEnviron. Res. Lett., , . (DOI: 10.1088/1748-9326/ac2441).

Rakowski, A. E., R.D. Elmore, C. A. Davis, S. D. Fuhlendorf, & J. M. Carroll, 2019: Thermal refuge affects space use and movement of a large-bodied galliformJournal of Thermal Biology80, 37-44. (DOI: 10.1016/j.jtherbio.2018.12.024).

Ramsey, N. R., P. M. Klein, and B. Moore, 2014: The impact of meteorological parameters on urban air qualityAtmospheric Environment86, 58-67. (DOI: 10.1016/j.atmosenv.2013.12.006).

Rao, S. C., B. K. Northup, W. A. Phillips, and H. S. Mayeux, 2007: Interseeding novel cool-season annual legumes to improve bermudagrass paddocksCrop Science47(1), 168-173. (DOI: 10.2135/cropsci2006.02.0088).

Rasmussen, E. N., J. M. Straka, R. Davies-Jones, C. A. Doswell III, F. H. Carr, M. D. Eilts, and D. R. MacGorman, 1994: Verification of the origins of rotation in tornadoes experiment: VORTEXBulletin of the American Meteorological Society75(6), 995-1006. (DOI: 10.1175/1520-0477(1994)075<0995:VOTOOR>2.0.CO;2).

Raun, W., B. Figueiredo, J. Dhillon, A. Fornah, J. Bushong, H. Zhang and R. Taylor, 2017: Can Yield Goals Be Predicted?Agronomy Journal109 (5), 2389-2395. (DOI: 10.2134/agronj2017.05.0279).

Ray, E. J., and E. A. Bergey, 2015: After the burn: factors affecting land snail survival in post-prescribed-burn woodlandsJ. Mollus. Stud.81(1), 44-50. (DOI: 10.1093/mollus/eyu051).

Reames, L.J. and D.J. Stensrud, 2017: Sensitivity of Simulated Urban–Atmosphere Interactions in Oklahoma City to Urban ParameterizationJ. Appl. Meteor. Climatol.56, 1405-1430. (DOI: 10.1175/JAMC-D-16-0223.1).

Reed, V., A.K. Sutradhar, D. B. Arnall, and J. Lofton, 2021: Evaluation of temporal variability on tissue nutrient concentrations of canolaAgrosystems, Geosciences and Environment, , 11 pp. (DOI: 10.1002/agg2.20235).

Reed, V., D.B. Arnall, B. Finch, and J.L.B. Souza, 2021: Predicting Winter Wheat Grain Yield Using Fractional Green Canopy Cover (FGCC)International Journal of Agronomy, , 8 pp. (DOI: 10.1155/2021/1443191).

Reen, B. P., D. R. Stauffer, and K. J. Davis, 2014: Land-surface heterogeneity effects in the planetary boundary layerBoundary Layer Meteorology150(1), 1-31. (DOI: 10.1007/s10546-013-9860-8).

Reen, B. P., D. R. Stauffer, K. J. Davis, and A. R. Desai, 2006: A case study on the effects of heterogeneous soil moisture on mesoscale boundary-layer structure in the Southern Great Plains, U.S.A. Part II: Mesoscale modellingBoundary-Layer Meteorology120, 275-314. (DOI: 10.1007/s10546-006-9056-6).

Reichle, R. H., D. B. McLaughlin, and D. Entekhabi, 2001: Variational data assimilation of microwave radiobrightness observations for land surface hydrology applicationsIEEE Transactions on Geoscience and Remote Sensing39, 1708-1718. (DOI: 10.1109/36.942549).

Reichle, R. H., D. B. McLaughlin, and D. Entekhabi, 2002: Hydrologic data assimilation with the Ensemble Kalman FilterMon Wea. Rev.130, 103-114. (DOI: 10.1175/1520-0493(2002)130<0103:HDAWTE>2.0.CO;2).

Reichle, R. H., D. Entekhabi, and D. B. McLaughlin, 2001: Downscaling of radio brightness measurements for soil moisture estimation: A four-dimensional variational data assimilation approachWater Resources Research37, 2353-2364. (DOI: 10.1029/2001WR000475).

Reichle, R. H., G. J. De Lannoy, Q. Liu, J. V. Ardizzone, A. Colliander, A. Conaty, W. Crow, T. J. Jackson, L. A. Jones, et al., 2017: Assessment of the SMAP Level-4 Surface and Root-Zone Soil Moisture Product Using In Situ MeasurementsJ. Hydrometeor.18, 2621-2645. (DOI: 10.1175/JHM-D-17-0063.1).

Reid, A. M., S. D. Fuhlendorf, and J. R. Weir, 2010: Weather Variables Affecting Oklahoma WildfiresRangeland Ecology and Management63, 599-603. (DOI: 10.2111/REM-D-09-00132.1).

Reif, D. W. and H. B. Bluestein, 2017: A 20-Year Climatology of Nocturnal Convection Initiation over the Central and Southern Great Plains during the Warm SeasonMon. Wea. Rev.145, 1615-1639. (DOI: 10.1175/MWR-D-16-0340.1).

Ren, D., 2010: Adjoint retrieval of prognostic land surface model variables for an NWP model: Assimilation of ground surface temperatureCentral European Journal of Geosciences2, 83-102. (DOI: 10.2478/v10085-009-0043-2).

Ren, D. D., and M. Xue, 2004: An improved force-restore model for Land Surface ModelingJ. Appl. Meteor.43, 1768-1782. (DOI: 10.1175/JAM2161.1).

Ren, D. D., M. Xue, and A. Henderson-Sellers, 2004: Incorporating hydraulic lift into a land surface model and its effects on surface soil moisture predictionJ. Hydrometeor.5, 1181-1191. (DOI: 10.1175/JHM-385.1).

Ren, D. L. M. Leslie, and D. J. Karoly, 2008: Sensitivity of an ecological model to soil moisture simulations from two different hydrological modelsMeteorology and Atmospheric Physics100, 87-99. (DOI: 10.1007/s00703-008-0297-4).

Ren, D., and A. Henderson-Sellers, 2006: An analytical hydrological model and its implication in scaling issues for land surface modelingJ. Earth Interactions10, 1-24. (DOI: 10.1175/EI203.1).

Ren, D., M. Xue, and A. Henderson-Sellers, 2004: The effects of hydraulic lift in simulating superficial soil moisture for vegetated surfaces under dry conditionsJ. Hydrometeorol.5, 1181-1191.

Richardson, S. J., 1995: Automated temperature and relative humidity calibrations for the Oklahoma MesonetworkJ. Atmos. Oceanic Technol.12, 951-959. (DOI: 10.1175/1520-0426(1995)012<0951:ATARHC>2.0.CO;2).

Richardson, S. J., M. E. Splitt, and B. M. Lesht, 2000: Enhancement of ARM surface meteorological observations during the Fall 1996 Water Vapor Intensive Observation PeriodJ. Atmos. Oceanic Technol.17, 312-322. (DOI: 10.1175/1520-0426(2000)017<0312:EOASMO>2.0.CO;2).

Rigon, R., G. Bertoldi, and T. M. Over, 2006: GEOtop: A distributed hydrological model with coupled water and energy budgetsJ. Hydrometeorol.7, 371-388. (DOI: 10.1175/JHM497.1).

Riley, W. J., S. C. Biraud, M. S. Torn, M. L. Fischer, D. P. Billesbach, and J. A. Berry, 2009: Regional CO2 and latent heat surface fluxes in the Southern Great Plains: Measurements, modeling, and scalingJ. Geophys. Res.114, G04009. (DOI: 10.1029/2009JG001003).

Ripberger, J. T., H.C. Jenkins-Smith, C. L. Silva, D. E. Carlson, K. Gupta, N. Carlson, and R. E. Dunalp, 2017: Bayesian versus politically motivated reasoning in human perception of climate anomaliesEnviron. Res. Lett.12 (114004), 7 pp. (DOI: 10.1088/1748-9326/aa8cfc).

Robertson, E.P., E.P. Tanner, R.D. Elmore, S.D. Fuhlendorf, J.D. Mays, J. Knutson, J.R. Weir, and S.R. Loss, 2021: Fire management alters the thermal landscape and provides multi-scale thermal options for a terrestrial turtle facing a changing climateGlob Change Biol., , . (DOI: 10.1111/gcb.15977).

Robertson, S. G. and K. R. Hickman, 2012: Aboveground plant community and seed bank composition along an invasion gradientPlant Ecology213(9), 1461-1475. (DOI: 10.1007/s11258-012-0104-7).

Robertson, S., K. R. Hickman, K. R. Harmoney, and D. M. Leslie Jr, 2013: Combining glyphosate with burning or mowing improves control of yellow bluestem (Bothriochloa ischaemum)Rangeland Ecology & Management66(3), 376-381. (DOI: 10.2111/REM-D-11-00198.1).

Robinson-García, N., E. Jiménez-Contreras, and D. Torres-Salinas, 2016: Analyzing data citation practices using the Data Citation IndexJournal of the Association for Information Science and Technology67(12), 2964-2975. (DOI: 10.1002/asi.23529).

Robock, A., L. Luo, E. F. Wood, F. Wen, K. E. Mitchell, P. R. Houser, J. C. Schaake, D. Lohmann, B. Cosgrove, and Coauthors, 2003: Evaluation of the North American Land Data Assimilation System over the southern Great Plains during the warm seasonJ. Geophys. Res.108, D22. (DOI: 10.1029/2002JD003245).

Roduner, M. A., P. G. Mulder, G. W. Cuperus, J. F. Stritzke, and M. E. Payton, 2005: Plant growth parameters of musk thistle Carduus nutans and egg distribution patterns of Rhinocyllus conicus on their bloomsSouthwestern Entomologist30(2), 93-103.

Roebber, P. J., D. M. Schultz, and R. Romero, 2002: Synoptic Regulation of the 3 May 1999 Tornado OutbreakWea. Forecasting17, 399-429. (DOI: 10.1175/1520-0434(2002)017<0399:SROTMT>2.0.CO;2).

Roeder, D.V., A.W. Paraskevopoulos, and K.A. Roeder, 2021: Thermal tolerance regulates foraging behaviour of antsEcological Entomology, , 8 pp. (DOI: 10.1111/een.13118).

Rogers, C. A., and E. Leviten, 2004: Evidence of long-distance transport of mountain cedar pollen into Tulsa, OklahomaInternational Journal of Biometeorology42, 65-72. (DOI: 10.1007/s004840050086).

Root, B., T.-Y. Yu, M. Yeary, and M. B. Richman, 2010: The Added Value of Surface Data to Radar-Derived Rainfall-Rate Estimation Using an Artificial Neural NetworkJournal of Atmospheric and Oceanic Technology27, 1547-1554. (DOI: 10.1175/2010JTECHA1361.1).

Rose IV, L.W., M. K. Das, and C. M. Taliaferro, 2008: Estimation of genetic variability and heritability for biofuel feedstock yield in several populations of switchgrassAnnals of Applied Biology152, 11-17. (DOI: 10.1111/j.1744-7348.2007.00186.x).

rose, J., M. Manuchehri, & T. Baughman, 2019: Horseweed (Conyza canadensis) management in Oklahoma winter wheatWeed Technology, , 1-6. (DOI: 10.1017/wet.2019.99).

Ross, J. D., J. F. Kelly, E. S. Bridge, M. H. Engel, D. L. Reinking, and W. A. Boyle, 2015: Pallid bands in feathers and associated stable isotope signatures reveal effects of severe weather stressors on fledgling sparrowsPeerJ3, e814. (DOI 10.7717/peerj.814).

Rouf, T., M. Girotto, P. Houser, and V. Maggioni, 2021: Assimilating satellite-based soil moisture observations in a land surface model: The effect of spatial resolutionJournal of Hydrology X13, . (DOI: 10.1016/j.hydroa.2021.100105).

Rouf, T., V. Maggioni, Y. Mei, and P. Houser, 2021: Towards Hyper‐Resolution Land‐Surface Modeling of Surface and Root Zone Soil MoistureJournal of Hydrology, , . (DOI: 10.1016/j.jhydrol.2020.125945).

Rouf, T., Y. Mei, V. Maggioni, P. Houser, and M. Noonan , 2019: A Physically-Based Atmospheric Variables Downscaling TechniqueJournal of Hydrometeorology, , 39 pp. (DOI: 10.1175/JHM-D-19-0109.1).

Royer, T.A., N.C. Elliott, K.L. Giles, and S.D. Kindler, 2011: Field efficacy of wintertime insecticide applications against greenbugs, Schizaphis graminum (Rondani) (Hemiptera: Aphididae) on winter wheat (Triticumaestivum L.)Crop Protection30 (7), 826-832. (DOI: 10.1016/j.cropro.2011.03.002).

Rude, D.J., E.J. Bass, and B. Phillips, 2012: Quantifying the impact of adding gap filling radar data on forecaster wind assessments, warnings, and confidenceMetr. Appl.19(3), 355-370. (DOI: 10.1002/met.269).

Russo, V. M., 2009: Nutrient content and yield in relation to top breakover in onion developed from greenhouse-grown transplantsJournal of the Science of Food and Agriculture89, 815-820. (DOI: 10.1002/jsfa.3518).

Ryzhkov, A. V. and D. S. Zrnic, 1995: Comparison of dual-polarization radar estimators of rainJournal of Atmospheric and Oceanic Technology12(2), 249-256. (DOI: 10.1175/15200426(1995)012<0249:CODPRE>2.0.CO;2).

Ryzhkov, A. V., and D. S. Zrnic, 1995: Precipitation and attenuation measurements at a 10-cm wavelengthJ. Appl. Meteor.34, 2121-2134. (DOI: 10.1175/1520-0450(1995)034<2120:PAAMAA>2.0.CO;2).

Ryzhkov, A. V., S. E. Giangrande, and T. J. Schuur, 2005: Rainfall Eestimation with a polarimetric prototype of WSR-88DJ. Appl. Meteor.44, 502-515. (DOI: 10.1175/JAM2213.1).

Ryzhkov, A. V., T. J. Schuur, D. W. Burgess, P. L. Heinselman, S. E. Giangrande, and D. S. Zrnic, 2005: The Joint Polarization Experiment: Polarimetric rainfall measurements and hydrometeor classificationBull. Amer. Meteor. Soc.86, 809-824. (DOI: 10.1175/BAMS-86-6-809).

Ryzhkov, A.V. and D.S. Zrnic, 2019: Polarimetric measurements of precipitationRadar Polarimetry for Weather Observations, , 373-433. (DOI: 10.1007/978-3-030-05093-1_10).

Sahaar, S.A., J.D. Niemann, and A. Elhaddad, 2022: Using regional characteristics to improve uncalibrated estimation of rootzone soil moisture from optical/thermal remote-sensingRemote Sensing of Environment273, . (DOI: 10.1016/j.rse.2022.112982).

Sakaguchi, K., L.K. Berg, J. Chen, J. Fast, R. Newsom, S.-L. Tai, et al., 2021: Determining Spatial Scales of Soil Moisture – Cloud Coupling Pathways using Semi-Idealized SimulationsJournal of Geophysical Research: Atmospheres126, e2021JD035282. (DOI: 10.1029/2021JD035282).

Scasta, J. D., D. M. Engle, J. L. Talley, J. R. Weir, S. D. Fuhlendorf, and D. M. Debinski, 2015: Drought influences control of parasitic flies of cattle on pastures managed with patch-burn grazingRangeland Ecology & Management68(3), 290-297. (DOI: 10.1016/j.rama.2015.03.001).

Scasta, J.D., J.R. Weir, D.M. Engle, and J.D. Carlson, 2014: Combustion of cattle fecal pats ignited by prescribed fireRangeland Ecology and Management67, 229-233.

Scharfenberg, K.A., D.J. Miller, T.J. Schuur, P.T. Schlatter, S.E. Giangrande, V.M. Melnikov, D.W. Burgess, and Coauthors, 2005: The Joint Polarization Experiment: Polarimetric radar in forecasting and warning decision makingWea. Forecasting20, 775-788. (DOI: 10.1175/WAF881.1).

Schenkman, A. D., M. Xue, and M. Hu, 2014: Tornadogenesis in a high-resolution simulation of the 8 May 2003 Oklahoma City supercellJ. Atmos. Sci.71(1), 130-154. (DOI: 10.1175/JAS-D-13-073.1).

Schenkman, A.D., M. Xue, A. Shapiro, K. Brewster, and J. Gao, 2011: Impact of CASA Radar and Oklahoma Mesonet Data Assimilation on the Analysis and Prediction of Tornadic Mesovortices in an MCSMon. Wea. Rev.139, 3422–3445. (DOI: 10.1175/MWR-D-10-05051.1).

Schenkman, A.D., M. Xue, A. Shapiro, K. Brewster, J. Gao, 2011: The Analysis and Prediction of the 8–9 May 2007 Oklahoma Tornadic Mesoscale Convective System by Assimilating WSR-88D and CASA Radar Data Using 3DVARMon. Wea. Rev.139, 224-246. (DOI: 10.1175/2010MWR3336.1).

Schneider, J. M., and D. L. Ford, 2013: An independent assessment of the monthly PRISM gridded precipitation product in central OklahomaAtmospheric and Climate Sciences3(2), 249-258. (DOI: 10.4236/acs.2013.32026).

Schneider, J. M., D. K. Fisher, R. L. Elliott, G. O. Brown, and C. P. Bahrmann, 2003: Spatiotemporal Variations in Soil Water: First Results from the ARM SGP CART NetworkJ. Hydrometeor.4, 106-120. (DOI: 10.1175/1525-7541(2003)004<0106:SVISWF>2.0.CO;2).

Scholtz, R., J. A. Polo, S. D. Fuhlendorf, D. M. Engle, and J. R. Weir, 2018: Woody Plant Encroachment Mitigated Differentially by Fire and HerbicideRangeland Ecology & Management71 (2), 239-244. (DOI: 10.1016/j.rama.2017.10.001).

Schroeder, A. J., 2009: An Analysis of Observations from Portable Temperature and Humidity Sensors Deployed Across Oklahoma CityThe Journal of Young Investigators19, 11.

Schroeder, J. L., W. S. Burgett, K. B. Haynie, I. Sonmez, G. D. Skwira, A. L. Doggett, and J. W. Lipe, 2005: The West Texas Mesonet: A technical overviewJournal of Atmospheric and Oceanic Technology22(2), 211-222. (DOI: 10.1175/JTECH-1690.1).

Schultz, D. M., D. S. Arndt, D. J. Stensrud, and J. W. Hanna, 2004: Snowbands during the cold-air outbreak of 23 January 2003Mon Wea. Rev.132, 827-842. (DOI: 10.1175/1520-0493(2004)132<0827:SDTCOO>2.0.CO;2).

Schuur, T. J., A. V. Ryzhkov, D. S. Zrnic, M. Schonhuber, 2001: Drop size distributions measured by a 2D Video Disdrometer: Comparison with dual-polarization radar dataJ. Appl. Meteor.40, 1019-1034. (DOI: 10.1175/1520-0450(2001)040<1019:DSDMBA>2.0.CO;2).

Scipal, K., M. Drusch, W. Wagner, 2008: Assimilation of a ERS scatterometer derived soil moisture index in the ECMWF numerical weather prediction systemAdvances in Water Resources8, 1101-1112. (DOI: 10.1016/j.advwatres.2008.04.013).

Scott, B. L., T. E. Ochsner, B. G. Illston, C. A. Fiebrich, J. B. Basara, and A. J. Sutherland, 2013: New Soil Property Database Improves Oklahoma Mesonet Soil Moisture EstimatesJ. Atmos. and Ocean. Tech.30, 2585-2595. (DOI: 10.1175/JTECH-D-13-00084.1).

Segales, A.R., Greene, B.R., Bell, T.M., Doyle, W., Martin, J.J., Pillar-Little, E.A. and P.B. Chilson, 2020: The CopterSonde: an insight into the development of a smart unmanned aircraft system for atmospheric boundary layer researchAtmospheric Measurement Techniques13(5), 2833-2848. (DOI: 10.5194/amt-13-2833-2020).

Senay, G. B., and R. L. Elliott, 2004: Capability of AVHRR data in discriminating rangeland cover mixturesInternational Journal of Remote Sensing23, 299-312. (DOI: 10.1080/01431160010014855).

Serpetzoglou, E., E. N. Anagnostou, A. Papadopoulos, E. I. Nikolopoulos, and V. Maggioni, 2010: Error Propagation of Remote Sensing Rainfall Estimates in Soil Moisture Prediction from a Land Surface Modeljournal of Hydrometeorology11, 705-720. (DOI: 10.1175/2009JHM1166.1).

Serrat‐Capdevila, A., J. B. Valdes, and E. Z. Stakhiv, 2014: Water management applications for satellite precipitation products: Synthesis and recommendationsJAWRA Journal of the American Water Resources Association50(2), 509-525. (DOI: 10.1111/jawr.12140).

Seyyedi, H., E. N. Anagnostou, P. E. Kirstetter, V. Maggioni, Y. Hong, and J. J. Gourley, 2014: Incorporating surface soil moisture information in error modeling of TRMM passive microwave rainfallIEEE Transactions on Geoscience and Remote Sensing52(10), 6226-6240. (DOI: 10.1109/TGRS.2013.2295795).

Shafer, M. A., C. A. Fiebrich, D. Arndt, S. E. Fredrickson, and T. W. Hughes, 2000: Quality assurance procedures in the Oklahoma MesonetworkJ. Atmos. Oceanic Technol.17, 474-494. (DOI: 10.1175/1520-0426(2000)017<0474:QAPITO>2.0.CO;2).

Shapiro, A., P.M. Klein, S.C. Arms, D. Bodine, and M. Carney, 2009: The Lake Thunderbird Micronet ProjectBull. Amer. Meteor. Soc.90, 811-824. (DOI: 10.1175/2008BAMS2727.1).

Sharma S., J.D. Carlson, E.S. Krueger, D.M. Engle, D. Twidwell, S.D. Fuhlendorf, A. Patrignani, L. Feng, and T.E. Ochsner, 2020: Soil moisture as an indicator of growing-season herbaceous fuel moisture and curing rate in grasslandsInternational Journal of Wildland Fire , , . (DOI: 10.1071/WF19193).

Sharma, B., R. G. Ingalls, C. L. Jones, R. L. Huhnke, and A. Khanchi, 2013: Scenario Optimization Modeling Approach for Design and Management of Biomass-to-Biorefinery Supply Chain SystemBioresource Technology150, 163-171. (DOI: 10.1016/j.biortech.2013.09.120).

Sharma, S., T.E. Ochsner, D. Twidwell, J.D. Carlson, E.S. Krueger, D.M. Engle, and S.D. Fuhlendorf, 2018: Nondestructive estimation of standing crop and fuel moisture content in tallgrass prairieRangeland Ecology and Management71, 356-362. (DOI: 10.1016/j.rama.2018.01.001).

Shaw, W. J., and C. Doran, 2001: Observations of systematic boundary layer divergence patterns and their relationship to land use and topographyJ. Clim.14, 1753-1764. (DOI: 10.1175/1520-0442(2001)014<1753:OOSBLD>2.0.CO;2).

Sheffield, J., G. Goteti, F. Wen, and E. F. Wood, 2004: A simulated soil moisture based drought analysis for the United StatesJ. Geophys. Res.109, D24108. (DOI: 10.1029/2004JD005182).

Shellberg, D.J. and K.C. Crawford, 1993: Oklahoma Mesonet Station Detects Intense Cold-Frontal PassageBulletin of the American Meteorological Society74 (11), 2238.

Sherrill, C.W., S.D. Fuhlendorf, L.E. Goodman, R.D. Elmore, and R.G. Hamilton, 2021: Managing an Invasive Species While Simultaneously Conserving Native Plant DiversityRangeland Ecology and Management80, . (DOI: 10.1016/j.rama.2021.11.001).

Shi, Z., R. Sherry, X. Xu, O. Hararuk, L. Souza, L. Jiang, J. Xia, J. Liang, and Y. Luo, 2015: Evidence for long‐term shift in plant community composition under decadal experimental warmingJournal of Ecology103(5), 1131-1140. (DOI: 10.1111/1365-2745.12449).

Shin, Y., B.P. Mohanty, and A.V. Ines, 2012: Soil hydraulic properties in one-dimensional layered soil profile using layer-specific soil moisture assimilation schemeWater Resources Research48, W06529. (DOI: 10.1029/2010WR009581).

Singh, H., T.P. Kandel, P.H. Gowda, B.K. Northup, and V.G. Kakani, 2021: N2O Emissions From Residues of Oat and Grass Pea Cover Crops Cultivated in the US Southern Great PlainsFrontiers in Sustainable Food Systems4, p.604934. (DOI: 10.3389/fsufs.2020.604934).

Singh, A., S. Taghvaeian, A. Mirchi, and D.N. Moriasi, 2023: Station Aridity in Weather Monitoring Networks: Evidence from the Oklahoma MesonetApplied Engineering in Agriculture. (DOI: 10.13031/aea.15325).

Singh, A.P., A. Mirchi, S. Taghvaeian, and A. Mansaray, 2023: Analysis of climatic trends in climate divisions of Oklahoma, USATheoretical and Applied Climatology. (DOI: 10.1007/s00704-023-04581-3).

Sinnathamby, S., K. R. Douglas-Mankin, and C. Craige, 2017: Field-scale calibration of crop-yield parameters in the Soil and Water Assessment Tool (SWAT)Agricultural Water Management180, Part A, 61-69. (DOI: 10.1016/j.agwat.2016.10.024).

Sisterson, D.L., R.A. Peppler, T.S. Cress, P.J. Lamb, and D.D. Turner, 2016: The ARM Southern Great Plains (SGP) SiteMeteorological Monographs57, 6.1-6.14. (DOI: 10.1175/AMSMONOGRAPHS-D-16-0004.1).

Skinner, P. S., L. J. Wicker, D. M. Wheatley, and K. H. Knopfmeier, 2016: Application of Two Spatial Verification Methods to Ensemble Forecasts of Low-Level RotationWea. Forecasting31, 713-735. (DOI: 10.1175/WAF-D-15-0129.1).

Smith, M. W., 2002: Damage by early autumn freeze varies with pecan cultivarHortscience37, 398-401. (DOI: 10.21273/HORTSCI.37.2.398).

Smith, M. W., and B. S. Cheary, 2010: Pecan bud damage caused by freezing temperatures during Spring 2009 was affected by cultivarJournal of the American Pomological Society64, 92-100.

Smith, M. W., B. W. Wood, W. R. Raun, 2007: Recovery and Partitioning of Nitrogen from Early Spring and Midsummer Applications to Pecan TreesJ. Amer. Soc. Hort. Sci.123, 758-763. (DOI: 10.21273/JASHS.132.6.758).

Smith, M.B., W. Koren, S. Reed, Z. Zhang, Y. Zhang, F. Moreda, Z. Cui, N. Mizukami, E. Anderson, and B. Cosgrove, 2012: The distributed model intercomparison project – Phase 2: Motivation and design of the Oklahoma experimentsJ. of Hydrol.418-419, 3-16. (DOI: 10.1016/j.jhydrol.2011.08.055).

Snook, N., M. Xue, and Y. Jung, 2011: Analysis of a Tornadic Mesoscale Convective Vortex Based on Ensemble Kalman Filter Assimilation of CASA X-Band and WSR-88D Radar Data.Mon. Wea. Rev.139, 3446-3468. (DOI: 10.1175/MWR-D-10-05053.1).

Snook, N., M. Xue, and Y. Jung, 2015: Multi-Scale EnKF Assimilation of Radar and Conventional Observations and Ensemble Forecasting for a Tornadic Mesoscale Convective SystemMonthly Weather Review143, 1035-1057. (DOI: 10.1175/MWR-D-13-00262.1).

Snook, N., M. Xue, and Y. Jung, 2019: Tornado-Resolving Ensemble and Probabilistic Predictions of the 20 May 2013 Newcastle-Moore EF5 TornadoMon. Wea. Rev., , . (DOI: 10.1175/MWR-D-18-0236.1).

Snook, N., Y. Jung, J. Brotzge, B. Putnam, and M. Xue, 2016: Prediction and Ensemble Forecast Verification of Hail in the Supercell Storms of 20 May 2013Wea. Forecasting31, 811-825. (DOI: 10.1175/WAF-D-15-0152.1).

Snow, J. T., A. L. Wyatt, A. K. McCarthy, and E. K. Bishop, 1995: Fallout of debris from tornadic thunderstorms: A historical perspective and two examples from VORTEXBulletin of the American Meteorological Society76(10), 1777-1790. (DOI: 10.1175/1520-0477(1995)076 <1777:FODFTT>2.0.CO;2).

Snow, R.A., M.J. Porta, and C.P. Patterson, 2021: Common Carp Population Size and Characteristics in Lake Carl Etling, OklahomaProceedings of the Oklahoma Academy of Science100, 22-29.

Snow, R.A., M.J. Porta, and R.G. Ryswyk, 2019: Observations of a Vertical Foraging Behavior of Blue Catfish in Lake Ellsworth, OklahomaProceedings of the Oklahoma Academy of Science98, 55-58.

Snyder, J.C., H.B. Bluestein, Z.B. Weinhoff, C.M. Kuster, and .W. Reif, 2020: An Analysis of an Ostensible Anticyclonic Tornado from 9 May 2016 Using High1 Resolution, Rapid-Scan Radar DataWeather and Forecasting, , . (DOI: 10.1175/WAF-D-20-0055.1).

Sobash, R. A. and D. J. Stensrud, 2015: Assimilating surface mesonet observations with the EnKF to improve ensemble forecasts of convection initiation on 29 May 2012Monthly Weather Review143(9), 3700-3725. (DOI: 10.1175/MWR-D-14-00126.1).

Sohoulande, C.D., K. Stone, and V.P. Singh, 2019: Quantifying the probabilistic divergences related to time-space scales for inferences in water resource managementAgricultural Water Management217, 282-91. (DOI: 10.1016/j.agwat.2019.03.004).

Soltani, H., K. K. Muraleetharan, R. Bulut, and M. Zaman, 2016: Prediction of soil suction using measured climatic dataEnvironmental Geotechnics, , . (DOI: 10.1680/jenge.15.00064).

Sonwalkar, M., L. Fang, and D. Sun, 2010: Use of NDVI dataset for a GIS based analysis: A sample study of TAR Creek superfund siteEcological Informatics5, 484-491. (DOI: 10.1016/j.ecoinf.2010.07.003).

Sorbjan, Z., 1996: Toward Evaluation of Heat Fluxes in the Convective Boundary LayerJ. Appl. Meteor.35 (8), 1374-1377. (DOI: 10.1175/1520-0450(1995)034<1092:TEOHFI>2.0.CO;2).

Souza, J.L.B., J.A. Antonangelo, H. Zhang, V. Reed, B. Finch, and B. Arnall, 2023: Impact of long-term fertilization in no-till on the stratification of soil acidity and related parametersSoil and Tillage Research228, 105624. (DOI: 10.1016/j.still.2022.105624).

Springer, T. L. and J. J. Goldman, 2016: Germination of Saccharum ravennae (L.) L. (Poaceae) Caryopses and Intact SpikeletsCrop Science46 (2), 682-688. (DOI: 10.2135/cropsci2014.11.0781).

Springer, T.L., 2020: How Does Plant Population Density Affect the Biomass of Ravenna Grass?GCB Bioenergy, , . (DOI: 10.1111/gcbb.12767).

Springer, T.L. , 2020: Effect of Nitrogen Fertilization on Biomass Yield of Sand Bluestem (Andropogon hallii Hack.)Bioenerg. Res.2020, . (DOI: 10.1007/s12155-020-10220-w).

Sridhar, V., and R. L. Elliott, 2002: On the development of a simple downwelling longwave radiation schemeAgricul. and Forest Meteor.112, 237-243. (DOI: 10.1016/S0168-1923(02)00129-6).

Sridhar, V., R. L. Elliott, and F. Chen, 2003: Scaling effects on modeled surface energy-balance componentsJournal of Hydrology280, 105-123. (DOI: 10.1016/S0022-1694(03)00220-8).

Sridhar, V., R. L. Elliott, F. Chen, and J. A. Brotzge, 2002: Validation of the NOAH-OSU land surface model using surface flux measurements in OklahomaJ. Geophys. Res.107, 4418. (DOI: 10.1029/2001JD0013060).

Sridhar, V., R.L. Elliott, and F. Chen, 2001: Testing the OSU land surface model under Oklahoma conditionsEOS Trans82, B41B-23.

Stadler, S., J. M. Dryden, and J. S. Greene, 2015: Climate Change Impacts on Oklahoma Wind Resources: Potential Energy Output ChangesResources42(2), 203-226. (DOI: 10.3390/resources4020203).

Stafne, E. T., 2007: Indices for Assessing Site and Winegrape Cultivar Risk for Spring FrostInternational Journal of Fruit Science7, 121-132. (DOI: 10.1080/15538360802003415).

Stafne, E. T., and J. A. Puckette, 2011: Aerial Root Formation on Winegrape Cultivars after Spring 2007 Freeze EventsJ. Enol. Vitic.62, 118-121. (DOI: 10.5344/ajev.2010.10062).

Stafne, E.T., C.T. Rohla, and B. L. Carroll, 2009: Pecan shell mulch impact on ‘Loring’peach tree establishment and first harvestHortTechnology19(4), 775-780. (DOI: 10.21273/HORTSCI.19.4.775).

Stamenkovic, J., and M. S. Gustin, 2007: Evaluation of use of EcoCELL technology for quantifying total gaseous mercury fluxes over background substrateAtmospheric Environment41, 3702-3712.

Stamenkovic, J., M. S. Gustin, J. A. Arnone, D. W. Johnson, J. D. Larsen, and P. S. J. Verburg, 2008: Atmospheric mercury exchange with a tallgrass prairie ecosystem housed in mesocosmsScience of the Total Environment406, 227-238. (DOI: 10.1016/j.scitotenv.2008.07.047).

Starks P. J. and D. N. Moriasi, 2017: Impact of Eastern redcedar encroachment on stream discharge in the North Canadian River basinJournal of Soil and Water Conservation72(1), 12-25. (DOI: 10.2489/jswc.72.1.12).

Starks, P. J., and D. N. Moriasi, 2009: Spatial Resolution Effect of Precipitation Data on SWAT Calibration and Performance: Implications for CEAPTransactions of the ASABE52, 1171-1180.

Starks, P. J., B. C. Venuto, W. A. Dugas, and J. Kiniry, 2014: Measurements of canopy interception and transpiration of openly-grown eastern redcedar in central OkalhomaEnvironment and Natural Resources Research4(3), 103-122.

Starks, P. J., C. A. Fiebrich, D. L. Grimsley, J. D. Garbrecht, J. L. Steiner, J. A. Guzman, and D. N. Moriasi, 2014: Upper Washita River Experimental Watersheds: Meteorologic and Soil Climate Measurement NetworksJournal of Environmental Quality43 (4), 1239-1249. (DOI: 10.2134/jeq2013.08.0312).

Starks, P. J., G. C. Heathman, T. J. Jackson, and M. H. Cosh, 2006: Temporal stability of soil moisture profileJ. Hydrology324, 400-411. (DOI: 10.1016/j.jhydrol.2005.09.024).

Stein, D. R., D. T. Allen, E. B. Perry, J. C. Bruner, K. W. Gates, T. G. Rehberger, K. Mertz, D. Jones, and L. J. Spicer, 2006: Effects of feeding Propionibacteria to dairy cows on milk yield, milk components, and reproductionJ. Dairy Sci.89, 111-125. (DOI: 10.3168/jds.S0022-0302(06)72074-4).

Steiner J.L., P.J. Starks, J.P.S. Neel, B. Northup, K.E. Turner, P. Gowda, S. Coleman, and M. Brown, 2019: Managing Tallgrass Prairies for Productivity and Ecological Function: A Long-Term Grazing Experiment in the Southern Great Plains, USAAgronomy9(11), 699. (DOI: 10.3390/agronomy9110699).

Steiner, J. L., P. J. Starks, J. D. Garbrecht, D. N. Moriasi, X. Zhang, X., J. M. Schneider, J. A. Guzman and E. Osei, 2014: Long-term environmental research: The Upper Washita River experimental watersheds, Oklahoma, USAJournal of Environmental Quality43(4), 1227-1238. (DOI: 10.2134/jeq2014.05.0229).

Stenz, R., X. Dong, B. Xi, and R. J. Kuligowski, 2014: Assessment of SCaMPR and NEXRAD Q2 precipitation estimates using Oklahoma MESONET observationsJ. of Hydromet.15(6), 2484-2500. (DOI: 10.1175/JHM-D-13-0199.1).

Sterling, M., C. Rogers, and E. Levetin, 2004: An evaluation of two methods used for microscopic analysis of airborne fungal spore concentrations from the Burkard Spore TrapAerobiologia15, 9-18. (DOI: 10.1023/A:1007561201541).

Stewart, D. R. and J. M. Long, 2015: Growth and contribution of stocked channel catfish, Ictalurus punctatus (Rafinesque, 1818): The importance of measuring post‐stocking performanceJournal of Applied Ichthyology31(4), 695-703. (DOI: 10.1111/jai.12797).

Stone, P.A., H.M. Marinoni, S. Laverty, and A.M. Fenwick, 2021: Winter Activity in a Northern Population of Mediterranean Geckos (Hemidactylus turcicus)Herpetological Conservation and Biology16(2), 405-411.

Straka, J. M., E. N. Rasmussen, and S. E. Fredrickson, 1996: A mobile mesonet for finescale meteorological observationsJ. Atmos. Oceanic Technol.13, 921-936. (DOI: 10.1175/1520-0426(1996)013<0921:AMMFFM>2.0.CO;2).

Stratman, D. R. and K. A. Brewster, 2017: Sensitivities of 1-km Forecasts of 24 May 2011 Tornadic Supercells to Microphysics ParameterizationsMon. Wea. Rev.145, 2697-2721. (DOI: 10.1175/MWR-D-16-0282.1).

Stratman, D.R., N. Yussouf, Y. Jung, T.A. Supinie, M. Xue, P.S. Skinner, and B.J. Putnam, 2020: Optimal temporal frequency of NSSL phased array radar observations for an experimental Warn-on-Forecast systemWeather and Forecasting35(1), 193-214. (DOI: 10.1175/WAF-D-19-0165.1.35.1.test).

Su, H., E. F. Wood, H. Wang, R. T. Pinker, 2008: Spatial and Temporal Scaling Behavior of Surface Shortwave Downward Radiation Based on MODIS and In Situ MeasurementsGeoscience and Remote Sensing Letters, IEEE5, 542-546. (DOI: 10.1109/LGRS.2008.923209).

Sullivan, M. J., J. P. Damicone, and M. E. Payton, 2003: Development of a weather-based advisory program for scheduling fungicide applications for control of white rust of spinachPlant Disease87, 923-928. (DOI: 10.1094/PDIS.2003.87.8.923).

Sun, D., R. Pinker, and J. B. Basara, 2004: Land surface temperature estimation from the next generation Geostationary Operational Environmental Satellite GOES M-QJ. Applied Meteor.43, 363-372. (DOI: 10.1175/1520-0450(2004)043<0363:LSTEFT>2.0.CO;2).

Sun, D., Y. Yu, H. Yang, Q. Liu, and J. Shi, 2013: Comparison Between GOES-East and-West for Land Surface Temperature Retrieval From a Dual-Window AlgorithmIEEE Geoscience and Remote Sensing Letters10 (3), 578-582. DOI: 10.1109/LGRS.2012.2214473.

Sun, D., Y. Yu, H. Yang, Q. Liu, and J. Shi, 2012: Comparison Between GOES-East and -West for Land Surface Temperature Retrieval From a Dual-Window AlgorithmGeoscience and Remote Sensing Letters99, 1-5. (DOI: 10.1109/LGRS.2012.2214473).

Sun, L. O. Seidou, I. Nistor, K. Goita, and R. Magagi, 2016: Simultaneous assimilation of in situ soil moisture and streamflow in the SWAT model using the Extended Kalman FilterJournal of Hydrology543, 671-685. (DOI: 10.1016/j.jhydrol.2016.10.040).

Sun, R., and S.K. Krueger, 2012: Mesoanalysis of the interactions of precipitating convection and the boundary layerJ. of Adv. In Modeling Earth Sys4, M04004. (DOI: 10.1029/2011MS000096).

Sun, X., C. B. Zou, B. Wilcox, and E. Stebler, 2018: Effect of Vegetation on the Energy Balance and Evapotranspiration in Tallgrass Prairie: A Paired Study Using the Eddy-Covariance MethodBoundary Layer Meteorology, , 1-24. (DOI: 10.1007/s10546-018-0388-9).

Sun. X., C. B. Zou, B. Wilcox, and E. Stebler, 2019: Effect of Vegetation on the Energy Balance and Evapotranspiration in Tallgrass Prairie: A Paired Study Using the Eddy-Covariance MethodBoundary-Layer Meteorol170, 127. (DOI: 10.1007/s10546-018-0388-9).

Supinie, T.A., N. Yussouf, Y. Jung, M. Xue, J. Cheng, and S. Wang, 2017: Comparison of the Analyses and Forecasts of a Tornadic Supercell Storm from Assimilating Phased-Array Radar and WSR-88D ObservationsWea. Forecasting32, 1379-1401. (DOI: 10.1175/WAF-D-16-0159.1).

Surcel, M., I. Zawadzki, and M. K. Yau, 2015: A study on the scale dependence of the predictability of precipitation patternsJ. of Atmos. Sci.72, 216-235. (DOI: 10.1175/JAS-D-14-0071.1).

Sutherland, A., J. D. Carlson, L. Milne-Hickman, M. Wolfinbarger, and S. Blackburn, 2003: A new e-Extension outreach blending weather data and traditional educational approachesHortscience38(5), 694-694.

Sutherland, A., S. Sitton, D. Martin, R. Davis, R. Jabrzemski, K. Boevers, K., and D. Williams, 2009: Simple Irrigation Plan-Turning Evapotranspiration Science Into Irrigation DecisionsHortscience44(4), 1071-1071.

Swenson, S., J. Famiglietti, J. Basara, and J. Wahr, 2008: Estimating Profile Soil Moisture and Groundwater Storage Variations in the Southern Great Plains Using GRACE Satellite Gravimetric and Oklahoma Mesonet Soil Moisture DataWater Resources Research44, W01413. (DOI: 10.1029/2007WR006057).

Tadesse, H.K., D.N. Moriasi, P.H. Gowda, P. Wagle, P.J. Starks, J.L. Steiner, M., Talebizadeh, J.P. Neel and A.M. Nelson, 2020: Comparison of Evapotranspiration and Biomass Simulation in Winter Wheat under Conventional and Conservation Tillage Systems using APEX ModelEcohydrology & Hydrobiology, , . (DOI: 10.1016/j.ecohyd.2020.08.003).

Tadić J.M., I.N. Williams , V.M. Tadić, and S.C. Biraud, 2019: Towards Hyper-Dimensional Variography Using the Product-Sum Covariance ModelAtmosphere10(3), . (DOI: 10.3390/atmos10030148).

Tai, S-L., J. Fast, W.I. Gustafson, D. Chand, B. Gaudet, Z. Feng, and R. Newsom, 2020: Simulation of Continental Shallow Cumulus Populations using an Observation-Constrained Cloud-System Resolving ModelJournal of Advances in Modeling Earth Systemse2020MS002091, . (DOI: 10.1029/2020MS002091).

Talmadge, T. and R. Waxler, 2016: Infrasound from Tornados: Theory, Measurement, and Prospects for Their Use in Early Warning SystemsAcoustical Society of America12 (1), 43-51.

Tanamachi, R. L., P. L. Heinselman, and L. J. Wicker, 2015: Impacts of a storm merger on the 24 May 2011 El Reno, Oklahoma tornadic supercellWeather and Forecasting30, 501-524. (DOI: 10.1175/WAF-D-14-00164.1).

Tang, L., and F. Hossain, 2012: Investigating the similarity of satellite rainfall error metrics as a function of Köppen climate classificationAtmos. Res.104-105, 182-192. (DOI: 10.1016/j.atmosres.2011.10.006).

Tanner, E. P. and S. D. Fuhlendorf, 2018: Impact of an agri-environmental scheme on landscape patternsEcological Indicators85, 956-965. (DOI: 10.1016/j.ecolind.2017.11.043).

Tanner, E. P., R. D. Elmore, C. A. Davis, S. D. Fuhlendorf, D. K. Dahlgren, E. T. Thacker and J. P. Orange, 2016: Does the presence of oil and gas infrastructure potentially increase risk of harvest in northern bobwhite?Wildlife Biology22, 294-304. (DOI: 10.2981/wlb.00254).

Tanner, E. P., R. D. Elmore, C. Davis, and S. D. Fuhlendorf, 2017: Wintering bird responses to the presence of artificial surface water in a semi-arid rangelandWildlife Biology2017(1):wlb.00315, 1-10. (DOI: 10.2981/wlb.00315).

Tanner, E. P., R. D. Elmore, S. D. Fuhlendorf, C. A. Davis, E. T. Thacker, and D. K. Dahlgren, 2015: Behavioral responses at distribution extremes: How artificial surface water can affect quail movement patternsRangeland Ecology & Management68(6), 476-484. (DOI: 10.1016/j.rama.2015.07.008).

Tanner, E. P., R. D. Elmore, S. D. Fuhlendorf, C. Davis, D. K. Dahlgren and J. P. Orange, 2017: Extreme climatic events constrain space use and survival of a ground‐nesting birdGlobal change biology23(5), 1832-1846. (DOI: 10.1111/gcb.13505).

Tanner, E.P., A.M. Tanner, S.D. Fuhlendorf, R.D. Elmore, C.A. Davis, C.A. and J.A. Polo, 2021: Land enrolled in the Conservation Reserve Program supports roosting ecology of the lesser prairie-chickenGlobal Ecology and Conservation32, p.e01916. (DOI: 10.1016/j.gecco.2021.e01916).

Tanner, E.P., J.P. Orange, C.A. Davis, R.D. Elmore, and S.D. Fuhlendorf, 2019: Behavioral modifications lead to disparate demographic consequences in two sympatric speciesEcology and Evolution, , 17 pp. (DOI: 10.1002/ece3.5472).

Tanner, E.P., S.D. Fuhlendorf, J.A. Polo, and J.M. Peterson, 2021: Woody encroachment of grasslands: Near-surface thermal implications assessed through the lens of an astronomical eventEcology and Evolution00, 1-16. (DOI: 10.1002/ece3.8043).

Tao, C., Zhang, Y., Tang, S., Tang, Q., Ma, H.‐Y., Xie, S., & Zhang, M., 2019: Regional moisture budget and land‐atmosphere coupling over the US Southern Great Plains inferred from the ARM long‐term observationsJournal of Geophysical Research: Atmospheres124, . (DOI: 10.1029/2019JD030585).

Tavakoli, M., and F. De Smedt, 2012: Validation of soil moisture simulation with a distributed hydrologic model (WetSpa)Environmental Earth Sciences69 (3), 739-747. (DOI: 10.1007/s12665-012-1957-8).

Temel, O., S. Porchetta, L. Bricteux and J. van Beeck, 2018: RANS closures for non-neutral microscale CFD simulations sustained with inflow conditions acquired from mesoscale simulationsApplied Mathematical Modelling53, 635-652. (DOI: 10.1016/j.apm.2017.09.018).

Terti, G. , I. Ruin, J. J. Gourley, P. Kirstetter, Z. Flamig, J. Blanchet, A. Arthur, and S. Anquetin, 2017: Toward Probabilistic Prediction of Flash Flood Human ImpactsRisk Analysis, , 1-22. (DOI: 10.1111/risa.12921).

Terti, G., I. Ruin, J. J. Gourley, P. Kirstetter, Z. Flamig, J. Blanchet, A. Arthur, and S. Anquetin, 2019: Toward probabilistic prediction of flash flood human impactsRisk Analysis39(1), 140-161. (DOI: 10.1111/risa.12921).

Thiesen, A., M. Ungar, B. Sheridan, and B. Illston, 2020: More Science with Less: Evaluation of a 3D-Printed Weather StationAtmos. Meas. Tech.13, 4699-4713. (DOI: 10.5194/amt-13-4699-2020).

Thompson, L.R., M.R.Beck, S.A.Gunter, G.D.Williams, S.E.Place, and R.R.Reuter, 2019: An energy and monensin supplement reduces methane emission intensity of stocker cattle grazing winter wheatApplied Animal Science35 (4), 433-440. (DOI: 10.15232/aas.2018-01841).

Thompson, N. M., F. M. Epplin, J. T. Edwards, and R. M. Hunger, 2014: Economics of foliar fungicides for hard red winter wheat in the USA southern Great PlainsCrop Protection59, 1-6. (DOI: 10.1016/j.cropro.2014.01.009).

Thompson, R. L., and R. Edwards, 2000: An overview of environmental conditions and forecast implications of the 3 May 1999 tornado outbreakWea. Forecasting15, 682-699. (DOI: 10.1175/1520-0434(2000)015<0682:AOOECA>2.0.CO;2).

Tian, L. and S.M. Quiring, 2019: Spatial and temporal patterns of drought in Oklahoma (1901 to 2014)International Journal of Climatology, , . (DOI: 10.1002/joc.6026).

Tian, L., S. Yuan, S. M. and Quiring, 2018: Evaluation of six indices for monitoring agricultural drought in the south-central United States.Agricultural and Forest Meteorology249, 107-119. (DOI: 10.1016/j.agrformet.2017.11.024).

Tian, L., Z. T. Leasor, and S. M. Quiring, 2020: Developing a hybrid drought index: Precipitation Evapotranspiration Difference Condition IndexClimate Risk Management, , . (DOI: 10.1016/j.crm.2020.100238).

Toms, B. A., J. B. Basara, and Y. Hong, 2017: Usage of Existing Meteorological Data Networks for Parameterized Road Ice Formation ModelingJ. Appl. Meteor. Climatol.56, 1959-1976. (DOI: 10.1175/JAMC-D-16-0199.1).

Toms, B. A., J. M. Tomaszewski, D. D. Turner, and S. E. Koch, 2017: Analysis of a Lower-Tropospheric Gravity Wave Train Using Direct and Remote Sensing Measurement SystemsMon. Wea. Rev.145, 2791-2812. (DOI: 10.1175/MWR-D-16-0216.1).

Torquato, P.R., C.B. Zou, A. Adhikari, H.D. Adams, and R.E. Will, 2020: Drought Tolerance and Competition in Eastern Redcedar (Juniperus virginiana) Encroachment of the Oak-Dominated Cross TimbersFrontiers in Plant Science11, 59. (DOI=10.3389/fpls.2020.00059).

Torquato, P.R., R.E. Will, B. Zhang, and C.B. Zou, 2020: Stand-Level Transpiration Increases after Eastern Redcedar (Juniperus virginiana L.) Encroachment into the Midstory of Oak ForestsForests11(9), 901. (DOI: doi.org/10.3390/f11090901).

Torres, G. M., R. P. Lollato, and T. E. Ochsner, 2013: Comparison of Drought Probability Assessments Based on Atmospheric Water Deficit and Soil Water DeficitAgronomy Journal105 (2), 428-436. (DOI: 10.2134/agronj2012.0295).

Trafalis, T. B., B. Santosa, and M. B. Richman, 2004: Learning networks in rainfall estimationComputational Management Science2, 229-251. (DOI: 10.1007/s10287-005-0026-0).

Trafalis, T. B., B. Santosa, and M. B. Richman, 2004: Prediction of rainfall from WSR-88D radar using kernel-based methodsInternational Journal of Smart Engineering System Design5, 429-438. (DOI: 10.1080/10255810390243737).

Trafalis, T. B., M. B. Richman, A. White, and B. Santosa, 2002: Data mining techniques for improved WSR-88D rainfall estimationComputers and Industrial Engineering43, 775-786. (DOI: 10.1016/S0360-8352(02)00139-0).

Trapp, R. J., D. M. Schultz, A. V. Ryzhkov, and R. L. Holle, 2001: Multiscale structure and evolution of an Oklahoma winter precipitation eventMon Wea. Rev.129, 486-501. (DOI: 10.1175/1520-0493(2001)129<0486:MSAEOA>2.0.CO;2).

Trier, S. B., F. Chen, and K. W. Manning, 2004: A study of convection initiation in a mesoscale model using high-resolution land surface initial conditionsMon Wea. Rev.132, 2954-2976. (DOI: 10.1175/MWR2839.1).

Trier, S. B., G. S. Romine, D. A. Ahijevych, R. J. Trapp, R. S. Schumacher, M. C. Coniglio, and D. J. Stensrud, 2015: Mesoscale thermodynamic influences on convection initiation near a surface dryline in a convection-permitting ensembleMonthly Weather Review143(9), 3726-3753. (DOI: 10.1175/MWR-D-15-0133.1).

Trier, S. B., J. H. Marsham, C. A. Davis, D. A. Ahijevych, 2011: Numerical Simulations of the Postsunrise Reorganization of a Nocturnal Mesoscale Convective System during 13 June IHOP_2002.J. Atmos. Sci.68, 2988-3011. (DOI: 10.1175/JAS-D-11-0112.1).

Tripp, D. R., and J. D. Niemann, 2008: Evaluating the parameter identifiability and structural validity of a probability-distributed model for soil moistureJournal of Hydrology353, 93-108. (DOI: 10.1016/j.jhydrol.2008.01.028).

Troutt, C., and E. Levetin, 2004: Correlation of spring spore concentrations and meteorological conditions in Tulsa, OklahomaInternational Journal of Biometeorology45, 64-74. (DOI: 10.1007/s004840100087).

Tubana, B. S., D. B. Arnall, O. Walsh, B. Chung, J. B. Solie, K. Girma, and W. R. Raun, 2008: Adjusting midseason nitrogen rate using a sensor-based optimization algorithm to increase use efficiency in corn J. Plant. Nutr.31, 1393-1419. (DOI: 10.1080/01904160802208261).

Tucker, D.F., 1997: Surface Mesonets of the Western United StatesBull. Amer. Meteor. Soc.78, 1485-1496. (DOI: 10.1175/1520-0477(1997)078<1485:SMOTWU>2.0.CO;2).

Turlapaty, A. C., N. H. Younan and V. G. Anantharaj, 2012: A linear merging methodology for high-resolution precipitation products using spatiotemporal regressionIntl. J. of Remote Sensing33(24), 7844-7867. (DOI: 10.1080/01431161.2012.703345).

Tustison, B., D. Harris, and E. Foufoula-Georgiou, 2001: Scale issues in verification of precipitation forecastsJ. Geophys. Res.106(D11), 11775-11784. (DOI: 10.1029/2001JD900066).

Twidwell, D., A.S. West, W.B. Hiatt, A.L. Ramirez, J.T. Winter, D.M. Engle, S.D. Fuhlendorf, and J.D. Carlson, 2016: Plant invasions or fire policy: Which has altered fire behavior more in tallgrass prairie?Ecosystems19(2), 356-368.

Tyndall, D. P., and J. D. Horel, 2013: Impacts of Mesonet Observations on Meteorological Surface AnalysesWeather and Forecasting28, 254-269. (DOI: 10.1175/WAF-D-12-00027.1).

Van de Water, P. K., and E. Levetin, 2001: Contribution of upwind pollen sources to the characterization of Juniperus ashei phenologyGrana40, 133-141. (DOI: 10.1080/00173130152625879).

Van de Water, P. K., T. Keever, C. E. Main, and E. Levetin, 2003: An assessment of predictive forecasting of Juniperus ashei pollen movement in the Southern Great Plains, USAInternational Journal of Biometeorology48, 74-82. (DOI: 10.1007/s00484-003-0184-0).

Van der Kamp, D. W., R. D. Moore, and I. G. McKendry, 2017: A model for simulating the moisture content of standardized fuel sticks of various sizesAgricultural and Forest Meteorology236, 123-134. (DOI: 10.1016/j.agrformet.2017.01.013).

Van der Veer Martens, B., B. G. Illston, and C, A. Fiebrich, 2017: The Oklahoma Mesonet: A Pilot Study of Environmental Sensor Data CitationsData Science Journal16 (47), . (DOI: 10.5334/dsj-2017-047).

Varner, B. T., F. M. Epplin, and G. L. Strickland, 2011: Economics of No-Till Versus Tilled Dryland Cotton, Grain Sorghum, and WheatAgronomy Journal103(5), 1329-1338. (DOI: 10.2134/agronj2011.0063).

Verburg, P. S. J., J. Larsen, D. W. Johnson, D. E. Schorran, J. A. Arnone, III, 2005: Impacts of an anomalously warm year on soil CO2 efflux in experimentally manipulated tallgrass prairie ecosystemsGlobal Change Biology11, 1720-1732. (DOI: 10.1111/j.1365-2486.2005.001032.x).

Vergopolan, N., N.W. Chaney, M. Pan, J. Sheffield, H.E. Beck, C.R. Ferguson, L.Torres-Rojas, S. Sadri, and E.F. Wood, 2021: SMAP-HydroBlocks, a 30-m satellite-based soil moisture dataset for the conterminous USSci. Data8 (264), . (DOI: 10.1038/s41597-021-01050-2).

Vignal, B., and W. F. Krajewski, 2001: Large-sample evaluation of two methods to correct range-dependent error for WSR-88D rainfall estimatesJ. Hydrometeor.2, 490-504. (DOI: 10.1175/1525-7541(2001)002<0490:LSEOTM>2.0.CO;2).

Villarini, G., and W. F. Krajewski, 2009: Inference of Spatial Scaling Properties of Rainfall: Impact of Radar Rainfall Estimation UncertaintiesIEEE Transactions on Geoscience and Remote Sensing6(4), 812-815. (DOI: 10.1109/lgrs.2009.2025891).

Villarini, G., and W. F. Krajewski, 2010: Sensitivity Studies of the Models of Radar-Rainfall UncertaintiesJ. Appl. Meteor. Climatol.49(2), 288-309. (DOI: 10.1175/2009jamc2188.1).

Villarini, G., W. F. Krajewski, A. A. Ntelekos, K. P. Georgakakos, and J. A. Smith, 2010: Towards probabilistic forecasting of flash floods: The combined effects of uncertainty in radar-rainfall and flash flood guidanceJournal of Hydrology394, 275-284. (DOI: 10.1016/j.jhydrol.2010.02.014).

Villarini, G., W. F. Krajewski, and J. A. Smith, 2009: New paradigm for statistical validation of satellite precipitation estimates: Application to a large sample of the TMPA 0.25 degrees 3-hourly estimates over OklahomaJ. Geophys. Res.-Atmos.114, . (DOI: 10.1029/2008jd011475).

Villarini, G., W. F. Krajewski, G. J. Ciach, and D. L. Zimmerman, 2009: Product-error-driven generator of probable rainfall conditioned on WSR-88D precipitation estimatesWater Resources Research45, . (DOI: 10.1029/2008wr006946).

Vinnikov, K. Y., A. Robock, S. Qiu, and J. K. Entin, 1999: Optimal design of surface networks for observation of soil moistureJ. Geophys. Res.-Atmos.104(d16), 19743-19749. (DOI: 10.1029/1999jd900060).

Vulpiani, G., S. Giangrande, and F. S. Marzano, 2009: Rainfall Estimation from Polarimetric S-Band Radar Measurements: Validation of a Neural Network ApproachJ. Appl. Meteor. Climatol.48, 2022-2036. (DOI: 10.1175/2009JAMC2172.1).

Wagle, P. V. G. Kakani, and R. L. Hunke, 2016: Evapotranspiration and Ecosystem Water Use Efficiency of Switchgrass and High Biomass SorghumAgronomy Journal108(3), 1007-1019. (DOI: 10.2134/agronj2015.0149).

Wagle, P., and V. G. Kakani, 2014: Environmental control of daytime net ecosystem exchange of carbon dioxide in switchgrassAgriculture, Ecosystems and Environment186, 170-177. (DOI: 10.1016/j.agee.2014.01.028).

Wagle, P., and V. G. Kakani, 2014: Growing season variability in evapotranspiration, ecosystem water use efficiency, and energy partitioning in switchgrassEcohydrology7(1), 64-72. (DOI: 10.1002/eco.1322).

Wagle, P., and V. G. Kakani, 2014: Seasonal variability in net ecosystem carbon dioxide exchange over a young Switchgrass standGCB Bioenergy6(4), 339-350. (DOI: 10.1111/gcbb.12049).

Wagle, P., N. Bhattarai, P.H. Gowda, and V.G. Kakani, 2017: Performance of five surface energy balance models for estimating daily evapotranspiration in high biomass sorghumJournal of Photogrammetry and Remote Sensing128, 192-203. (DOI: 10.1016/j.isprsjprs.2017.03.022).

Wagle, P., P. H. Gowda, and B. K. Northup, 2019: Annual dynamics of carbon dioxide fluxes over a rainfed alfalfa field in the US Southern Great PlainsAgricultural and Forest Meteorology265, 208-217. (DOI: 10.1016/j.agrformet.2018.11.022).

Wagle, P., P. H. Gowda, and B.K. Northup, 2019: Dynamics of evapotranspiration over a non-irrigated alfalfa field in the Southern Great Plains of the United StatesAgricultural Water Management223, . (DOI: 10.1016/j.agwat.2019.105727).

Wagle, P., P.H. Gowda, B.K. Northup, K.E. Turner, J.P.S. Neel, P. Manjunatha, and Y.Zhou, 2018: Variability in carbon dioxide fluxes among six winter wheat paddocks managed under different tillage and grazing practicesAtmospheric Environment185, 100-108. (DOI: 10.1016/j.atmosenv.2018.05.003).

Wagle, P., P.H. Gowda, B.K. Northup, P.J. Starks, and J.P.S. Neel, 2019: Response of Tallgrass Prairie to Management in the U.S. Southern Great Plains: Site Descriptions, Management Practices, and Eddy Covariance Instrumentation for a Long-Term ExperimentRemote Sens.11(17), . (DOI: 10.3390/rs11171988).

Wagle, P., T.H. Skaggs, P.H. Gowda, B.K. Northup, and J.P.S. Neel, 2020: Flux variance similarity-based partitioning of evapotranspiration over a rainfed alfalfa field using high frequency eddy covariance dataAgricultural and Forest Meteorology285-286, . (DOI: 10.1016/j.agrformet.2020.107907).

Wainwright, C. E., D. T. Dawson, M. Xue, and G. Zhang, 2014: Diagnosing the Intercept Parameters of the Exponential Drop Size Distributions in a Single-Moment Microphysics Scheme and Impact on Supercell Storm SimulationsJ. Appl. Metr. and Clim.53(8), 2072-2090. (DOI: 10.1175/JAMC-D-13-0251.1).

Wainwright, C., D. Reynolds, and A. Reynolds, 2020: Linking Small-Scale Flight Manoeuvers and Density Profiles to the Vertical Movement of Insects in the Nocturnal Stable Boundary LayerScientific Reports10(1):1019, . (DOI: 10.1038/s41598-020-57779-0).

Wakefield, R.A., J.B. Basara, J.C. Furtado, B.G. Illston, C.R. Ferguson, and P.M. Klein, 2019: A Modified Framework for Quantifying Land-Atmosphere Covariability during Hydrometeorological and Soil Wetness Extremes in Oklahoma.J. Appl. Meteor. Climatol., , . (DOI: 10.1175/JAMC-D-18-0230.1).

Wakimoto, R. M., and H. V. Murphey, 2010: Frontal and Radar Refractivity Analyses of the Dryline on 11 June 2002 during IHOPMonthly Weather Review138, 228-241. (DOI: 10.1175/2009MWR2991.1).

Wakimoto, R. M., and N. T. Atkins, 1996: Observations on the Origins of Rotation: The Newcastle Tornado during VORTEX 94Mon Wea. Rev.124, 384-407. (DOI: 10.1175/1520-0493(1996)124<0384:OOTOOR>2.0.CO;2).

Wakimoto, R. M., C. Liu, and H. Cai, 1998: The Garden City, Kansas storm during VORTEX 95. Part I: overview of the storm's life cycle and mesocyclogenesisMon Wea. Rev126, 372-392. (DOI: 10.1175/1520-0493(1998)126<0372:TGCKSD>2.0.CO;2).

Wakimoto, R. M., W. Lee, H. B. Bluestein, C. Liu, and P. H. Hildebrand, 1996: ELDORA Observations during VORTEX 95Bull. Amer. Meteor. Soc.77, 1465-1482. (DOI: 10.1175/1520-0477(1996)077<1465:EODV>2.0.CO;2).

Wakimoto, R.M., H.V. Murphey, R.G. Fovell, and W.C. Lee, 2004: Mantle Echoes Associated with Deep Convection: Observations and Numerical SimulationsMon Wea. Rev.132, 1701-1720. (DOI: 10.1175/1520-0493(2004)132<1701:MEAWDC>2.0.CO;2).

Walker, N. R., T. K. Mitchell, S. M. Marek, and A. N. Morton, 2006: Influence of temperature and time of year on colonization of bermudagrass roots by Ophiosphaerella herpotrichaPlant Disease90, 1326-1330. (DOI: 10.1094/PD-90-1326).

Walsh, O. S., A. R. Klatt, J. B. Solie, C. B. Godsey, W. R. Raun, 2013: Use of Soil Moisture Data for Refined GreenSeeker Sensor Based Nitrogen Recommendations in Winter Wheat (Triticum aestivum L.)Precision Agriculture 14, 343-356. (DOI: 10.1007/s11119-012-9299-9).

Walsh, O. S., J. B. Solie, and W. R. Raun, 2013: Can Oklahoma Mesonet Cumulative Evapotranspiration Data Be Accurately Predicted Using Three Interpolation Methods?Communications in Soil Science and Plant Analysis44(5), 892-899. (DOI: 10.1080/00103624.2012.747606).

Wang, J. C.Y. Tang, M.R. Brambley, and L. Song, 2019: Predicting home thermal dynamics using a reduced-order model and automated real-time parameter estimationEnergy and Buildings198, 305-317. (DOI: 10.1016/j.enbuild.2019.06.002).

Wang, J. K., T. W. Ford, and S. M. Quiring, 2015: Distinguishing between Unorganized and Organized Convection When Examining Land–Atmosphere RelationshipsJournal of Applied Meteorology and Climatology54(11), 2229-2243. (DOI: 10.1175/JAMC-D-15-0086.1).

Wang, J., C.Y. Tang, and L. Song, 2020: values of a generic continuous-time signalDesign and Analysis of Optimal Pre-Cooling in Residential BuildingsEnergy and Buildings, , . (DOI: 10.1016/j.enbuild.2020.109951).

Wang, J., X. Dong, B. Xi, and A. J. Heymsfield, 2016: Investigation of liquid cloud microphysical properties of deep convective systems: 1. Parameterization raindrop size distribution and its application for stratiform rain estimationJ. Geophys. Res. Atmos.121, 10739-10760. (DOI: 10.1002/2016JD024941).

Wang, J., X. Xiao, J. Basara, X. Wu, R. Bajgain, Y. Qin, R.B. Doughty, and B. Moore III, 2021: Impacts of juniper woody plant encroachment into grasslands on local climateAgricultural and Forest Meteorology307, . (DOI: 10.1016/j.agrformet.2021.108508).

Wang, J., Y. Jiang, C.Y. Tang, and L. Song, 2021: Development and validation of a second-order thermal network model for residential buildingsApplied Energy306 (B), . (DOI: 10.1016/j.apenergy.2021.118124).

Wang, L., T. Koike, K. Yang, T. J. Jackson, R. Bindlish, and D. Yang, 2009: Development of a distributed biosphere hydrological model and its evaluation with the Southern Great Plains Experiments (SGP97 and SGP99)Journal of Geophysical Research - Atmospheres114, D08107. (DOI:10.1029/2008JD010800).

Wang, Q., and M. Xue, 2012: Convective initiation on 19 June 2002 during IHOP: High-resolution simulations and analysis of the mesoscale structures and convection initiationJ. of Geophys. Res117, D12107. (DOI: 10.1029/2012JD017552).

Wang, T., Q. Liu, T. E. Franz, R. Li, Y. Lang and C. A. Fiebrich, 2017: Spatial patterns of soil moisture from two regional monitoring networks in the United StatesJournal of Hydrology552, 578-585. (DOI: 10.1016/j.jhydrol.2017.07.035).

Wang, Y., J. Gao, P.S. Skinner, K. Knopfmeier, T. Jones, G. Creager, P.L. Heiselman, and L.J. Wicker, 2019: Test of a Weather-Adaptive Dual-Resolution Hybrid Warn-on-Forecast Analysis and Forecast System for Several Severe Weather EventsWea. Forecasting, , 47 pp. (DOI: 10.1175/WAF-D-19-0071.1).

Wang, Y., N. Yussouf, C.A. Kerr, D.R. Stratman, and B.C. Matilla, 2022: An Experimental 1-km Warn-on-Forecast System for Hazardous Weather EventsMonthly Weather Review, , . (DOI: 10.1175/MWR-D-22-0094.1).

Wang, Y., N. Yussouf, E.R. Mansell, B.C. Matilla, R. Kong, M. Xue, M., and V.C. Chmielewski, 2021: Impact of Assimilating GOES-R Geostationary Lightning Mapper Flash Extent Density Data on Severe Convection Forecast in a Warn-on-Forecast SystemMonthly Weather Review, , . (DOI: 10.1175/MWR-D-20-0406.1).

Warren, E. L., D. T. Young, L. Chapman, C. Muller, C. S. B. Grimmond, and X.-M. Cai, 2016: The Birmingham Urban Climate Laboratory—A high density, urban meteorological dataset, from 2012–2014Scientific Data3, Article number: 160038 . (DOI: 10.1038/sdata.2016.38).

Waters, M.J., R.A. Snow, M.J. Porta, and M.T. Hollie, 2021: Population Dynamics of a Stunted Blue Catfish Population in a Small Oklahoma ImpoundmentProceedings of the Oklahoma Academy of Science100, .

Watson, B.H., R.M. Hunger, and D.A. Marburger, 2020: Economic returns of one versus two fungicide applications in oklahoma winter wheatCrop Science60, 441-453. (DOI: 10.1002/csc2.20068).

Waugh, S. and T.J. Schuur, 2018: On the use of Radiosondes in Freezing PrecipitationJ. Atmos. Oceanic Technol.EOR, . (DOI: 10.1175/JTECH-D-17-0074.1).

Webb, S. L., and K. L. Gee, 2014: Annual survival and site fidelity of free‐ranging white‐tailed deer (Odocoileus virginianus): comparative demography before (1983–1992) and after (1993–2005) spatial confinementIntegrative Zoology9(1), 24-33. (DOI: 10.1111/1749-4877.12032).

Webb, S. L., K. L. Gee, and P. D. Jones, 2014: Age-specific changes in body mass and delayed physical development of a known-aged sample of wild, white-tailed deerWildlife Biology in Practice10(2), 69-84. (DOI: 10.2461/wbp.2014.10.9).

Webb, S. L., K. L. Gee, B. K. Strickland, S. Demarais, and R. W. DeYoung, 2010: Measuring Fine-Scale White-Tailed Deer Movements and Environmental Influences Using GPS CollarsInternational Journal of Ecology459610, 1-12. (DOI: 10.1155/2010/459610).

Weckwerth, T. M., D. B. Parsons, S. E. Koch, J. A. Moore, M. A. LeMone, B. B. Demoz, C. Flamant, B. Geerts, and Coauthors, 2004: An overview of the International H2O Project (IHOP_2002) and some preliminary highlightsBull. Amer. Meteor. Soc.85, 253-277. (DOI: 10.1175/BAMS-85-2-253).

Weckwerth, T.M ., and D. B. Parsons, 2006: A review of convection initiation and motivation for IHOP_2002Mon Wea. Rev.134, 5-22. (DOI: 10.1175/MWR3067.1).

Wedgeworth, M., R. Mollenhauer, and S.K. Brewer, 2022: Variation in Prairie Chub hatch relationships across wet and dry years in the upper Red River basinNorth Am J Fish Manage, , . (DOI: 10.1002/nafm.10842).

Weilin, L. I. A. O., W. A. N. G. Dagang, W. A. N. G. Guiling, X. I. A. Youlong, and L. I. U. Xiaoping, 2019: Quality Control and Evaluation of the Observed Daily Data in North American Soil Moisture DatabaseJournal of Meteorological Research, , .

Weir, J.R., 2011: Are Weather and Tradition Reducing Our Ability to Conduct Prescribed Burns?Rangelands33(1), 25-30. (DOI: 10.2111/RANGELANDS-D-10-00050.1).

Weiss, C. C., D. C. Dowell, J. L. Schroeder, P. S. Skinner, A. E. Reinhart, P. M. Markowski, and Y. P. Richardson, 2015: A Comparison of Near-surface Buoyancy and Baroclinity Across Three VORTEX2 Supercell InterceptsMonthly Weather Review143, 2736-2753. (DOI: 10.1175/MWR-D-14-00307.1).

Weiss, C. C., H. B. Bluestein, and A. L. Pazmany, 2006: Fine-scale radar observations of the 22 May 2002 dryline during the International H2O Project (IHOP)Mon Wea. Rev.134, 273-293. (DOI: 10.1175/MWR3068.1).

Wen, Y., T. Schuur, H. Vergara, and C. Kuster, 2021: Effect of Precipitation Sampling Error on Flash Flood Monitoring and Prediction: Anticipating Operational Rapid-Update Polarimetric Weather RadarsJournal of Hydrometeorology, , . (DOI: 10.1175/JHM-D-19-0286.1).

Weng, E. S., and Y. Q. Luo, 2008: Soil hydrological properties regulate grassland ecosystem responses to multifactor global change: a modeling analysisJournal of Geophysical Research - Biogeosciences113, G03003. (DOI: 10.1029/2007JG000539).

West, A. L., C. B. Zou, E. Stebler, S. D. Fuhlendorf, and B. Allred, 2016: Pyric-herbivory and Hydrological Responses in Tallgrass PrairieRangeland Ecology & Management69(1), 20-27. (DOI: 10.1016/j.rama.2015.10.004).

Wheatley, D. M., K. H. Knopfmeier, T. A. Jones, and G. J. Creager, 2015: Storm-scale data assimilation and ensemble forecasting with the NSSL experimental warn-on-forecast system. Part I: Radar data experimentsWeather and Forecasting30(6), 1795-1817. (DOI: 10.1175/WAF-D-15-0043.1).

White, F. J., R. P. Wettemann, M. L. Looper, T. M. Prado, and G. L. Morgan, 2002: Seasonal effects on estrous behavior and time of ovulation in nonlactating beef cowsJ. Anim. Sci.80, 3053-3059. (DOI: 10.2527/2002.80123053x).

White, L. D., 2014: Mobile Observations of a Quasi-Frontal Transient Moisture Boundary in the Deep SouthWea. Forecasting29, 1356-1373. (DOI: 10.1175/WAF-D-14-00009.1).

Widener, J. M., T. J. Gliedt, and P. Hartman, 2017: Visualizing dynamic capabilities as adaptive capacity for municipal water governanceSustainability Science12(2), 203-219. (DOI: 10.1007/s11625-016-0408-y).

Will, R. E., S. M. Wilson, C. B. Zou, and T. C. Hennessey, 2013: Increased vapor pressure deficit due to higher temperature leads to greater transpiration and faster mortality during drought for tree seedlings common to the forest–grassland ecotoneNew Phytologist200(2), 366-374. (DOI: 10.1111/nph.12321).

Williams, R. J., S. W. Hallgren, G. W. T. Wilson, M. W. Palmer, 2013: Juniperus virginiana encroachment into upland oak forests alters arbuscular mycorrhizal abundance and litter chemistryApplied Soil Ecology65, 23-30. (DOI: 10.1016/j.apsoil.2012.12.020).

Wilson, J. W., and R. D. Roberts, 2006: Summary of convective storm initiation and evolution during IHOP: Observational and modeling perspectiveMon Wea. Rev.134, 23-47. (DOI: 10.1175/MWR3069.1).

Wilson, T.C., J. Brenner, Z. Morrison, J.D. Jacob, and B.R. Elbing, 2022: Wind Speed Statistics from a Small UAS and Its Sensitivity to Sensor LocationAtmosphere13(3), . (DOI: 10.3390/atmos13030443).

Wilson, T.C., C.E. Petrin and B.R. Elbing, 2023: Infrasound and Low-Audible Acoustic Detections from a Long-Term Microphone Array Deployment in OklahomaRemote Sensing15(5), . (DOI: 10.3390/rs15051455).

Wimhurst, J.J., and J.S. Greene, 2019: Oklahoma's future wind energy resources and their relationship with the Central Plains low-level jetRenewable and Sustainable Energy Reviews115, 24 pp. (DOI: 10.1016/j.rser.2019.109374).

Windahl, E., and K. de Beurs, 2016: An intercomparison of Landsat land surface temperature retrieval methods under variable atmospheric conditions using in situ skin temperatureInternational Journal of Applied Earth Observation and Geoinformation51, 11-27. (DOI: 10.1016/j.jag.2016.04.003).

Wine, M. L., and J. Hendrickx, 2013: Biohydrologic effects of eastern redcedar encroachment into grassland, Oklahoma, USABiologia68(6), 1132-1135. (DOI: 10.2478/s11756-013-0252-9).

Wine, M. L., C. B. Zou, J. A. Bradford, and S. A. Gunter, 2012: Runoff and sediment responses to grazing native and introduced species on highly erodible Southern Great Plains soilJ. of Hydr.450–451, 336-341. (DOI: 10.1016/j.jhydrol.2012.05.012).

Wine, M. L., J. M. Hendrickx, D. Cadol, C. B. Zou, and T. E. Ochsner, 2015: Deep drainage sensitivity to climate, edaphic factors, and woody encroachment, Oklahoma, USAHydrol. Process.29, 3779-3789. (DOI: 10.1002/hyp.10470).

Wine, M. L., T. E. Ochsner, A. Sutradhar, and R. Pepin, 2011: Effects of eastern redcedar encroachment on soil hydraulic properties along Oklahoma's grassland-forest ecotoneHydrological Processes26(11), 1720-1728. (DOI: 10.1002/hyp.8306).

Witt, T.W., K.C. Flynn, C. Villavicencio, and B.K. Northup, 2022: Flood tolerance and flood loss predictions for tepary bean (Phaseolus acutifolius A. Gray) across the United States Southern Great PlainsAgronomy Journal, , . (DOI: 10.1002/agj2.21084).

Witte, B. M., R. F. Singler, and S. C. C. Bailey, 2017: Development of an Unmanned Aerial Vehicle for the Measurement of Turbulence in the Atmospheric Boundary LayerAtmosphere2017, 8(10). (DOI: 10.3390/atmos8100195).

Wood, W. H., S. J. Marshall,T. L. Whitehead, and S. E. Fargey, 2018: Daily temperature records from a mesonet in the foothills of the CanadianEarth System Science Data10, 595-607. (DOI: 10.5194/essd-10-595-2018).

Wright, E. C., B. H. Boehmer, M. J. Cooper-Prado, C. L. Bailey, R. P. Wettemann, 2014: Effect of elevated ambient temperature at parturition on duration of gestation, ruminal temperature, and endocrine function of fall-calving beef cowsJournal of Animal Science92(10), 4449-4456. (DOI: 10.2527/jas.2014-8055).

Wu, D., X. Dong, B. Xi, Z. Feng, A. Kennedy, G. Mullendore, M. Gilmore, and W.-K. Tao, 2013: Impacts of Microphysical Scheme on Convective and Stratiform Characteristics in Two High Precipitation Squall Line EventsJ. Geophys. Res. Atmos.118, 11,119-11,135. (DOI: 10.1002/jgrd.50798).

Wu, J., D. L. Nofziger, J. G. Warren, and J. A. Hattey, 2003: Modeling ammonia volatilization from surface-applied swine effluentSoil Science Society of America Journal67, 1-11. (DOI: 10.2136/sssaj2003.1000).

Wyatt, B. M., T. E. Ochsner, C. A. Fiebrich, C. R. Neel, and D. S. Wallace, 2017: Useful Drainage Estimates Obtained from a Large-Scale Soil Moisture Monitoring Network by Applying the Unit-Gradient AssumptionVadose Zone J.16, 1-15. (DOI: 10.2136/vzj2017.01.0016).

Wyatt, B.M., T.E. Ochsner, J. Brown, C. Diggins, B.G. Illston, and C.A. Fiebrich, 2021: MesoSoil v2.0 – An updated soil physical property database for the Oklahoma MesonetVadose Zone Journal2021, 1-9. (DOI: 10.1002/vzj2.20134).

Wyatt, B.M.,T.E. Ochsner, E.S. Krueger, and E.T. Jones, 2020: In-situ soil moisture data improve seasonal streamflow forecast accuracy in rainfall-dominated watershedsJournal of Hydrology590, 125404. (DOI:10.1016/j.jhydrol.2020.125404).

Wyszogrodzki, A. A., S. Miao, and F. Chen, 2012: Evaluation of the coupling between mesoscale-WRF and LES?EULAG models for simulating fine-scale urban dispersionAtmos. Res.118, 324-345. (DOI: 10.1016/j.atmosres.2012.07.023).

Xia, Y., C. D. Peter‐Lidard, M. Huang, H. Wei, and M. Ek, 2015: Improved NLDAS‐2 Noah‐simulated hydrometeorological products with an interim runHydrological Processes29, 780-792. (DOI: 10.1002/hyp.10190).

Xia, Y., D. Mocko, M. Huang, B. Li, M. Rodell, K.E. Mitchell, X. Cai, and M.B. Ek, 2017: Comparison and Assessment of Three Advanced Land Surface Models in Simulating Terrestrial Water Storage Components over the United StatesJ. Hydrometeor.18, 625-649. (DOI: 10.1175/JHM-D-16-0112.1).

Xia, Y., J. Sheffield, M. B. Ek, J. Dong, N. Chaney, H. Wei, J. Meng, and E. F. Wood, 2014: Evaluation of multi-model simulated soil moisture in NLDAS-2J. of Hydrol.512, 107-125. (DOI: 10.1016/j.jhydrol.2014.02.027).

Xia, Y., K. Mitchell, M. Ek, J. Sheffield, B. Cosgrove, E. Wood, L. Luo, C. Alonge, H. Wei, J. Meng, B. Livneh, et. al., 2012: Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model productsJ. of Geophysical Res.117, D03109. (DOI: 10.1029/2011JD016048).

Xia, Y., M. B. Ek, C. D. Peters‐Lidard, D. Mocko, M. Svoboda, J. Sheffield, and E. F. Wood, 2014: Application of USDM statistics in NLDAS‐2: Optimal blended NLDAS drought index over the continental United StatesJ. Geophys. Res. Atmos.119(6), 2947-2965. (DOI: 10.1002/2013JD020994).

Xia, Y., M. B. Ek, Y. Wu, T. Ford, and S. M. Quiring, 2015: Comparison of NLDAS-2 simulated and NASMD observed daily soil moisture. Part I: Comparison and analysisJournal of Hydrometeorology16(5), 1962-1980. (DOI: 10.1175/JHM-D-14-0096.1).

Xia, Y., M. B. Ek, Y. Wu, T. Ford, and S. M. Quiring, 2015: Comparison of NLDAS-2 Simulated and NASMD Observed Daily Soil Moisture. Part II: Impact of Soil Texture Classification and Vegetation Type MismatchesJournal of Hydrometeorology16(5), 1981-2000. (DOI: 10.1175/JHM-D-14-0097.1).

Xia, Y., M. Ek, J. Sheffield, B. Livneh, M. Huang, H. Wei, S. Feng, L. Luo, J. Meng, and E. Wood, 2013: Validation of Noah-simulated Soil temperature in the North American Land Data Assimilation System Phase 2J. of Appl Meteor and Clim.52, 455-471. (DOI: 10.1175/JAMC-D-12-033.1).

Xia, Y., T. W. Ford, Y. Wu, S. M. Quiring, and M. B. Ek, 2015: Automated quality control of in situ soil moisture from the North American Soil Moisture Database using NLDAS-2 productsJournal of Applied Meteorology and Climatology54(6), 1267-1282. (DOI: 10.1175/JAMC-D-14-0275.1).

Xie, S., Y. Zhang, S. E. Giangrande, M. P. Jensen, R. McCoy, and M. Zhang, 2014: Interactions between cumulus convection and its environment as revealed by the MC3E sounding arrayJ. Geophys. Res. Atmos.119(20), 11784-11808. (DOI: 10.1002/2014JD022011).

Xing, L., J. D. Spitler, and A. Bandyopadhyay, 2017: Prediction of undisturbed ground temperature using analytical and numerical modeling. Part III: Experimental validation of a world-wide datasetScience and Technology for the Built Environment23:5, 826-842. (DOI: 10.1080/23744731.2016.1253978).

Xu, Q., and B. Zhou, 2003: Retrieving soil moisture from soil temperature measurements by using linear regressionAdv. Atmos. Sci.20, 849-858.

Xu, Q., and C. J. Qiu, 1997: A variational method for computing surface heat fluxes from ARM surface energy and radiation balance systemsJ. Appl. Meteor.36, 3-11. (DOI: 10.1175/1520-0450(1997)036<0003:AVMFCS>2.0.CO;2).

Xu, Q., B. Zhou, S. D. Burk, and E. H. Barker, 1999: An air-soil layer coupled scheme for computing surface heat fluxesJ. Appl. Meteor.38, 211-223. (DOI: 10.1175/1520-0450(1999)038<0211:AASLCS>2.0.CO;2).

Xu, Q., L. Wei, and K. Nai, 2015: Analyzing vortex winds in radar-observed tornadic mesocyclones for nowcast applicationsWeather and Forecasting30(5), 1140-1157. (DOI: 10.1175/WAF-D-15-0046.1).

Xu, Q., L. Wei, K. Nai, S. Liu, R. M. Rabin, and Q. Zhao, 2015: A Radar Wind Analysis System for Nowcast ApplicationsAdvances in Meteorology2015, Article ID 264515, 13 pg. (DOI: 10.1155/2015/264515).

Xu, X., D. Li, and Y. Luo, 2015: Modeled ecosystem responses to intra-annual redistribution and levels of precipitation in a prairie grasslandEcological Modelling297, 33-41. (DOI: 10.1016/j.ecolmodel.2014.11.010).

Xu, X., R. A. Sherry, S. Niu, D. Li, and Y. Luo, 2013: Net primary productivity and rain‐use efficiency as affected by warming, altered precipitation, and clipping in a mixed‐grass prairieGlobal Change Biology19(9), 2753-2764. (DOI: 10.1111/gcb.12248).

Xu, X., R. A. Sherry, S. Niu, J. Zhou, and Y. Luo, 2012: Long-term experimental warming decreased labile soil organic carbon in a tallgrass prairiePlant and Soil.361, 307-315. (DOI: 10.1007/s11104-012-1265-9).

Xu, X., Y. Luo, Z. Shi, X. Zhou, and D. Li, 2014: Consistent proportional increments in responses of belowground net primary productivity to long-term warming and clipping at various soil depths in a tallgrass prairieOecologia174(3), 1045-1054. (DOI: 10.1007/s00442-013-2828-z).

Xu, X., Z. Shi, D. Li, X. Zhou, R. A. Sherry, and Y. Luo, 2015: Plant community structure regulates responses of prairie soil respiration to decadal experimental warmingGlob. Change Biol.21, 3846-3853. (DOI: 10.1111/gcb.12940).

Xu., X., S. Niu, R. A. Sherry, X. Zhou, J. Zhou, and Y. Luo, 2012: Interannual variability in responses of belowground net primary productivity (NPP) and NPP partitioning to long-term warming and clipping in a tallgrass prairieGlobal Change Biology18, 1648-1656. (DOI: 10.1111/j.1365-2486.2012.02651.x).

Xue, L., J. Fan, Z. J. Lebo, W. Wu, H. Morrison, W. W. Grabowski, X. Chu, I. Geresdi, K. North, R. Stenz, Y. Gao, X. Lou, et al., 2017: Idealized Simulations of a Squall Line from the MC3E Field Campaign Applying Three Bin Microphysics Schemes: Dynamic and Thermodynamic StructureMon. Wea. Rev.145, 4789-4812. (DOI: 10.1175/MWR-D-16-0385.1).

Xue, M., and W. J. Martin, 2006: A high-resolution modeling study of the 24 May 2002 dryline case during IHOP. Part I: Numerical simulation and general evolution of the dryline and convectionMon Wea. Rev.34, 149-171. (DOI: 10.1175/MWR3071.1).

Xue, M., and W. J. Martin, 2006: A high-resolution modeling study of the 24 May 2002 case during IHOP. Part II: Horizontal convective rolls and convective initiationMon Wea. Rev.134, 172-191. (DOI: 10.1175/MWR3072.1).

Xue, M., D. Wang, J. Gao, K. Brewster, and K. K. Droegemeier, 2003: The Advanced Regional Prediction System (ARPS), storm-scale numerical weather prediction and data assimilationMeteorology and Atmospheric Physics82, 139-170. (DOI: 10.1007/s00703-001-0595-6).

Xue, M., F. Kong, K. W. Thomas, J. Gao, Y. Wang, K. Brewster, and K. K. Droegemeier, 2013: Prediction of convective storms at convection-resolving 1 km resolution over continental United States with radar data assimilation: An example case of 26 May 2008 and precipitation forecasts from spring 2009Advances in Meteorology2013, Article ID 259052, 9 pg. (DOI: 10.1155/2013/259052).

Xue, M., M. Hu, and A. D. Schenkman, 2014: Numerical prediction of the 8 May 2003 Oklahoma City tornadic supercell and embedded tornado using ARPS with the assimilation of WSR-88D dataWeather and Forecasting29(1), 39-62. (DOI: 10.1175/WAF-D-13-00029.1).

Yang, D., 2020: Quantifying the spatial scale mismatch between satellite-derived solar irradiance and in situ measurements: A case study using CERES synoptic surface shortwave flux and the Oklahoma MesonetJournal of Renewable and Sustainable Energy12(5), 056104. (DOI: 10.1063/5.0025771).

Yilmaz, M.T., W.T. Crow, M.C. Anderson, and C. Hain, 2012: An objective methodology for merging satellite- and model-based soil moisture productsWater Resources, Res48, W11502. (DOI: 10.1029/2011WR011682).

Yimam Y. T., T. E. Ochsner, and G. A. Fox, 2017: Hydrologic cost-effectiveness ratio favors switchgrass production on marginal croplands over existing grasslandsPLOS ONE12(8), e0181924. (DOI: 10.1371/journal.pone.0181924).

Yimam, Y. T., T. E. Ochsner, and V. G. Kakani, 2015: Evapotranspiration partitioning and water use efficiency of switchgrass and biomass sorghum managed for biofuelAgricultural Water Management155, 40-47. (DOI: 10.1016/j.agwat.2015.03.018).

Yin, J., J. D. Albertson, J. R. Rigby, and A. Porporato, 2015: Land and atmospheric controls on initiation and intensity of moist convection: CAPE dynamics and LCL crossingsWater Resources Research51, 8476-8493. (DOI: 10.1002/2015WR017286).

Young, C. B., A. A. Bradley, W. F. Krajewski, A. Kruger, and M. L. Morrissey, 2000: Evaluating NEXRAD multisensor precipitation estimates for operational hydrologic forecastingJ. Hydrometeor.1, 241-254. (DOI:10.1175/1525-7541(2000)001<0241:ENMPEF>2.0.CO;2).

Yu, S., T. Fang, H. Dong, L. Yan, D.L. Martin, J.Q. Moss, JC.H. Fontanier, and Y. Wu, 2021: Genetic and QTL mapping in African bermudagrassThe Plant Genome, , e20073. (DOI: 10.1002/tpg2.20073).

Yuan, S. and S. M. Quiring, 2017: Comparison of three methods of interpolating soil moisture in OklahomaInt. J. Climatol.37, 987–997. (DOI: 10.1002/joc.4754).

Yuan, S. and S. M. Quiring, 2017: Evaluation of soil moisture in CMIP5 simulations over the contiguous United States using in situ and satellite observationsHydrology and Earth System Sciences21 (4), 2203-2218. (DOI: 10.5194/hess-21-2203-2017).

Yuan, S., and S. M. Quiring, 2014: Drought in the US Great Plains (1980–2012): A sensitivity study using different methods for estimating potential evapotranspiration in the Palmer Drought Severity IndexJ. Geophys. Res. Atmos.119(19), 10996-11010. (DOI: 10.1002/2014JD021970).

Yuan, S., S.M. Quiring, and C. Zhao, 2020: Evaluating the Utility of Drought Indices as Soil Moisture Proxies for Drought Monitoring and Land-Atmosphere InteractionsJournal of Hydrometeorology, , . (DOI: 10.1175/JHM-D-20-0022.1).

Yuan, S., Y. Wang, S.M. Quiring, T.W. Ford, and A.L. Houston, 2020: A sensitivity study on the response of convection initiation to in situ soil moisture in the central United StatesClimate Dynamics, , 1-16. (DOI: 10.1007/s00382-019-05098-0).

Yue, E. and J.N. Veenstra, 2018: Prediction of active zone depth in Oklahoma using soil matric suctionJournal of GeoEngineering13(1), 29-38. (DOI: 10.6310/jog.201803_13(1).3).

Yue, E., and R. Bulut, 2014: Equilibrium Matric Suctions in Subgrade Soils in Oklahoma Based on Thornthwaite Moisture Index (TMI)Advances in Transportation Geotechnics and Materials for Sustainable InfrastructureJune 2014, 17-24.

Yue, E., L. Chen, R. Bulut, and Q. Cheng, 2014: Climatic Parameter TMI in Subgrade SoilsClimatic Effects on Pavement and Geotechnical Infrastructure2014, 109-116. (DOI: 10.1061/9780784413326).

Yussouf, N., and D. J. Stensrud, 2006: Prediction of near-surface variables at independent locations from a bias-corrected ensemble forecasting systemMon Wea. Rev.134, 3415-3424. (DOI: 10.1175/MWR3258.1).

Yussouf, N., E. R. Mansell, L. J. Wicker, D. M. Wheatley, and D. J. Stensrud, 2013: The ensemble Kalman filter analyses and forecasts of the 8 May 2003 Oklahoma City tornadic supercell storm using single-and double-moment microphysics schemesMonthly Weather Review141(10), 3388-3412. (DOI: 10.1175/MWR-D-12-00237.1).

Yussouf, N., J. Gao, D. J. Stensrud, and G. Ge, 2013: The impact of mesoscale environmental uncertainty on the prediction of a tornadic supercell storm using ensemble data assimilation approachAdvances in Meteorology2013, Article ID 731647, 15 pg. (DOI: 10.1155/2013/731647).

Yussouf, N., J. S. Kain, and A. J. Clark, 2016: Short-term Probabilistic Forecasts of the 31 May 2013 Oklahoma Tornado and Flash Flood Event Using a Continuous-Update-Cycle Storm-scale Ensemble SystemWeather and Forecasting31, 957-983. (DOI: 10.1175/WAF-D-15-0160.1).

Zampieri, M., E. Serpetzoglou, E. N. Anagnostou, E. I. Nikolopoulos, A. Papadopoulos, 2012: Improving the representation of river–groundwater interactions in land surface modeling at the regional scale: Observational evidence and parameterization applied in the Community Land ModelJ. of Hydr.420-421, 72-86. (DOI: 10.1016/j.jhydrol.2011.11.041).

Zeng, L., S. Hu, D. Xiang, X. Zhang, D. Li, L. Li, and T. Zhang, 2019: Multilayer Soil Moisture Mapping at a Regional Scale from Multisource Data via a Machine Learning MethodRemote Sensing11(3), 284. (DOI: 10.3390/rs11030284).

Zhang, G., S. Luchs, A. Ryzhkov, M. Xue, L. Ryzhkova, Q. Cao, 2011: Winter Precipitation Microphysics Characterized by Polarimetric Radar and Video Disdrometer Observations in Central OklahomaJ. Appl. Meteor. Climatol.50, 1558–1570. (DOI: 10.1175/2011JAMC2343.1).

Zhang, J., K. Howard, C. Langston, S. Vasiloff, B. Kaney, A. Arthur, S. Van Cooten, K. Kelleher, D. Kitzmiller, F. Ding, et. al., 2011: National Mosaic and Multi-Sensor QPE (NMQ) SystemBulletin of Amer. Meteor. Soc.92, 1321-1338. (DOI: 10.1175/2011BAMS-D-11-00047.1).

Zhang, M. H., and J. L. Lin, 1997: Constrained variational analysis of sounding data based on column-integrated budgets of mass, heat, moisture, and momentum: Approach and application to ARM measurementsJ. Atmos. Sci.54, 1503-1524. (DOI: 10.1175/1520-0469(1997)054<1503:CVAOSD>2.0.CO;2).

Zhang, N., C. Zhao, and S. M. Quiring, 2017: Winter Wheat Yield Prediction Using Normalized Difference Vegetative Index and Agro-Climatic Parameters in OklahomaAgronomy Journal109 (6), 2700-2713. (DOI: 10.2134/agronj2017.03.0133).

Zhang, N., Q. Williams, and H. Liu, 2010: Effects of land-surface heterogeneity on numerical simulations of mesoscale atmospheric boundary layer processesTheoretical and Applied Climatology102, 307-317.

Zhang, N., S. Quiring, T. Ochsner, and T. Ford, 2017: Comparison of Three Methods for Vertical Extrapolation of Soil Moisture in OklahomaVadose Zone Journal16 (10), . (DOI: 10.2136/vzj2017.04.0085).

Zhang, N., S.M. Quiring, and T.W. Ford, 2021: Blending Noah, SMOS and In-Situ Soil Moisture Using Multiple Weighting and Sampling SchemesJournal of Hydrometeorology, , 53 pp. (DOI: 10.1175/JHM-D-20-0119.1).

Zhang, N., Y. Hong, Q. Qin, and L. Liu, 2013: VSDI: a visible and shortwave infrared drought index for monitoring soil and vegetation moisture based on optical remote sensingInternational Journal of Remote Sensing34(13), 4585-4609. (DOI: 10.1080/01431161.2013.779046).

Zhang, N., Y. Hong, Q. Qin, and L. Zhu, 2013: Evaluation of the visible and shortwave infrared drought index in ChinaInternational Journal of Disaster Risk Science4(2), 68-76. (DOI: 10.1007/s13753-013-0008-8).

Zhang, S. W., C. J. Qiu, and Q. Xu, 2004: Estimating soil water contents from soil temperature measurements by using adaptive Kalman filterJ. Appl. Meteor.43, 379-389. (DOI: 10.1175/1520-0450(2004)043<0379:ESWCFS>2.0.CO;2).

Zhang, S. W., C. J. Qiu, and Q. Xu, 2005: Comments on "Estimating soil water contents from soil temperature measurements by using an adaptive Kalman filter" - ReplyJ. Appl. Meteor.44, 551-552. (DOI: 10.1175/1520-0450(2004)043<0379:ESWCFS>2.0.CO;2).

Zhang, X. C., 2004: CLIGEN non-precipitation parameters and their impact on WEPP crop simulationApplied Engineering in Agriculture20, 447-454.

Zhang, X. C., and J. D. Garbrecht, 2003: Evaluation of CLIGEN precipitation parameters and their implication on WEPP runoff and erosion predictionTransactions of the ASAE46, 311-320. (DOI: 10.13031/2013.12982).

Zhang, X. C., L. A. Hunt, W. A. Phillips, G. Horn, J. Edward and H. Zhang, 2008: A Wheat Grazing Model for Simulating Grain and Beef Production: Part II-Model ValidationAgron. J.100, 1248-1258. (DOI: 10.2134/agronj2007.0373).

Zhang, Y., A. Suyker, and K. Paustian, 2018: Improved Crop Canopy and Water Balance Dynamics for Agroecosystem Modeling Using DayCentAgronomy Journal110 (2), 511-524. (DOI: 10.2134/agronj2017.06.0328).

Zhang, Y., and S. A. Klein, 2010: Mechanisms Affecting the Transition from Shallow to Deep Convection over Land: Inferences from Observations of the Diurnal Cycle Collected at the ARM Southern Great Plains SiteJournal of the Atmospheric Sciences67, 2943-2959. (DOI: 10.1175/2010JAS3366.1).

Zhang, Y., and S. A. Klein, 2013: Factors controlling the vertical extent of fair-weather shallow cumulus clouds over land: Investigation of diurnal-cycle observations collected at the ARM Southern Great Plains siteJ. Atmos. Sci.70(4), 1297-1315. (DOI: 10.1175/JAS-D-12-0131.1).

Zhang, Y., S. Zhou, P. Gentine, and X. Xiao, 2019: Can vegetation optical depth reflect changes in leaf water potential during soil moisture dry-down events?Remote SEnsing of Environment234, 10 pp. (DOI: 10.1016/j.rse.2019.111451).

Zhang, Y., T. E. Ochsner, C. A. Fiebrich and B. G. Illston, 2019: Recalibration of Sensors in One of The World’s Longest Running Automated Soil Moisture Monitoring NetworksSoil Science Society of America Journal83 (4), 1003-1011. (DOI: 10.2136/sssaj2018.12.0481).

Zhang, Z., V. Koren, S. Reed, M. Smith, Y. Zhang, F. Moreda, and B. Gosgrove, 2012: SAC-SMA a priori parameter differences and their impact on distributed hydrologic model simulationsJ. of Hydr.420-421, 216-227. (DOI: 10.1016/j.jhydrol.2011.12.004).

Zhao, H., G.F. Sassenrath, M.B. Kirkham, N. Wan, and X. Lin, 2021: Daily soil temperature modeling improved by integrating observed snow cover and estimated soil moisture in the U.S. Great PlainsHydrology and Earth System Sciences, , . (DOI: 10.5194/hess-2021-164).

Zhao, L. and Zhong-Liang, Y., 2018: Multi-sensor land data assimilation: Toward a robust global soil moisture and snow estimationRemote Sensing of Environment216, 13-27. (DOI: 10.1016/j.rse.2018.06.033).

Zhong, S., and J. C. Doran, 1997: A study of the effects of spatially varying fluxes on cloud formation and boundary layer properties using data from the Southern Great Plains Cloud and Radiation TestbedJ. Climate10, 327-341. (DOI: 10.1175/1520-0442(1997)010<0327:ASOTEO>2.0.CO;2).

Zhong, S., and J. C. Doran, 1998: An evaluation of the importance of surface flux variability on GCM-scale boundary-layer characteristics using realistic meteorological and surface forcingJ. Climate11, 2774-2788. (DOI: 10.1175/1520-0442(1998)011<2774:AEOTIO>2.0.CO;2).

Zhou, B., and Q. Xu, 1999: Computing surface fluxes from mesonet dataJ. Appl. Meteor.38, 1370-1383. (DOI: 10.1175/1520-0450(1999)038<1370:CSFFMD>2.0.CO;2).

Zhou, X., E. Weng, and Y. Lou, 2008: Modeling patterns of nonlinearity in ecosystem responses to temperature, CO2, and precipitation changesEcological Applications18, 453-466. (DOI: 10.1890/07-0626.1).

Zhou, X., S. Wan, and Y. Luo, 2007: Source components and interannual variability of soil CO2 efflux under experimental warming and clipping in a grassland ecosystemGlobal Change Biology13, 761–775. (DOI: 10.1111/j.1365-2486.2007.01333.x).

Zhou, X., X. Xu, G. Zhou and Y. Luo, 2018: Temperature sensitivity of soil organic carbon decomposition increased with mean carbon residence time: Field incubation and data assimilationGlob Change Biol.24, 810-822. (DOI: 10.1111/gcb.13994).

Zhou, Y., G.A. Fox,, R.B. Miller,, R. Mollenhauer, and S. Brewer, 2018: Groundwater flux estimation in streams: A thermal equilibrium approachJournal of Hydrology561, 822-832. (DOI: 10.1016/j.jhydrol.2018.04.001).

Zhou, Y., X. Xiao, G. Zhang, P. Wagle, R. Bajgain, J. Dong, C. Jin, J.B. Basara, M.C. Anderson, C. Hain, and J. A. Otkin, 2017: Quantifying agricultural drought in tallgrass prairie region in the U.S. Southern Great Plains through analysis of a water-related vegetation index from MODIS imagesAgricultural and Forest Meteorology246, 111-122. (DOI: 10.1016/j.agrformet.2017.06.007).

Zhou, Y., X. Xiao, P. Wagle, R. Bajgain, H. Mahan, J. B. Basara, J. Dong, Y. Qin, G. Zhang, Y. Luo, and P. H. Gowda, 2017: Examining the short-term impacts of diverse management practices on plant phenology and carbon fluxes of Old World bluestems pastureAgricultural and forest meteorology237, 60-70. (DOI: 10.1016/j.agrformet.2017.01.018).

Zhou,Y., K. Colton Flynn, P.H. Gowda, P. Wagle, S. Ma, V.G. Kakani, and J.L. Steiner, 2021: The potential of active and passive remote sensing to detect frequent harvesting of alfalfaIntl/ J. of Appl. Earth Obs. and Geoinformation104, . (DOI: 10.1016/j.jag.2021.102539).

Ziegler, C. L., 2013: A diabatic Lagrangian technique for the analysis of convective storms. Part I: Description and validation via an observing system simulation experimentJ. Atmos. and Ocean. Tech.30(10), 2248-2265. (DOI: 10.1175/JTECH-D-12-00194.1).

Ziegler, C. L., and E. N. Rasmussen, 1998: The initiation of moist convection at the dryline: forecasting issues from a case study perspectiveWea. Forecasting13, 1106-1131. (DOI: 10.1175/1520-0434(1998)013<1106:TIOMCA>2.0.CO;2).

Ziegler, C. L., E. N. Rasmussen, M. S. Buban, Y. P. Richardson, L. J. Miller, and R. M. Rabin, 2007: The "Triple Point" on 24 May 2002 during IHOP. Part II: Ground-Radar and In Situ Boundary Layer Analysis of Cumulus Development and Convection InitiationMon. Wea. Rev.135, 2443-2472. (DOI: 10.1175/MWR3411.1).

Ziegler, C. L., M. S. Buban, and E. N. Rasmussen, 2007: A Lagrangian Objective Analysis Technique for Assimilating In Situ Observations with Multiple-Radar-Derived AirflowMon. Wea. Rev.135, 2417-2442. (DOI: 10.1175/MWR3396.1).

Ziolkowska, J. R., 2018: Economic value of environmental and weather information for agricultural decisions – A case study for Oklahoma MesonetAgriculture, Ecosystems & Environment265, 503-512. (DOI: 10.1016/j.agee.2018.07.008).

Ziolkowska, J. R. and R. Reyes, 2017: Groundwater Level Changes Due to Extreme Weather—An Evaluation Tool for Sustainable Water ManagementWater9(2), 117. (DOI: 10.3390/w9020117).

Ziolkowska, J. R., C. A. Fiebrich, J.D. Carlson, A.D. Melvin, A.J. Sutherland, K.A. Kloesel, G.D. McManus, B.G. Illston, et al., 2017: Benefits and Beneficiaries of the Oklahoma Mesonet: A Multisectoral Ripple Effect AnalysisWeather, Climate, and Society9(3), 499-519. (DOI: 10.1175/WCAS-D-16-0139.1).

Ziolkowska, J. R., and J. Zubillaga, 2018: Importance of weather monitoring for agricultural decision-making - an exploratory behavioral study for Oklahoma Mesonet: Importance of weather monitoring for agricultural decision makingJournal of the Science of Food and Agriculture98(13), 4945-4954. (DOI: 10.1002/jsfa.9027).

Zou, C. B., D. J. Turton, R. E. Will, D. M. Engle, and S. D. Fuhlendorf, 2014: Alteration of hydrological processes and streamflow with juniper (Juniperus virginiana) encroachment in a mesic grassland catchmentHydrol. Process.28(26), 6173-6182. (DOI: 10.1002/hyp.10102).

Zou, Z., J. Dong, M. A. Menarguez, X. Xiao, Y. Qin, R. B. Doughty, K. V. Hooker, and K. D. Hambright, 2017: Continued decrease of open surface water body area in Oklahoma during 1984–2015Science of the Total Environment595, 451-460. (DOI: 10.1016/j.scitotenv.2017.03.259).

Adams-Selin, R. D., 2008: Investigation of Mesoscale Surface Pressure and Temperature Features Associated with Bow Echoes. M.S. Thesis, Colorado State University.

Allred, B. W., 2008: Plants, grazing, and fire in tallgrass prairie. M.S. Thesis, Oklahoma State University.

Amgain, N. R., 2014: Evaluating water use rates and root growth characteristics of turf bermudagrass cultivars under non-limiting soil moisture conditions in Oklahoma. M.S. Thesis, Oklahoma State University.

Anselmo, D. A., 1999: A modelling study of the Garden City, Kansas, storm during VORTEX-95. M.S. Thesis, McGill University.

Arms, S. C., 2006: Experimental study of turbulence in the atmospheric surface layer over non-uniform terrain with patc. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman, 87 pp.

Arnall, B., 2004: Relationship between coefficient of variation measured by spectral reflectance and plant density at . M.S. Thesis, Department of Plant and Soil Sciences, Oklahoma State University, Stillwater.

Arndt, D. S., 2001: The Lasting Effects of Mesoscale Convective Systems Over Eastern Oklahoma in 1994. M.S. Thesis, University of Oklahoma, 73 pp.

Avery, A. S., 2015: Design and development of a severe storm research UAS. M.S. Thesis, Oklahoma State University.

Bailey, C. L., 2009: Identification of maintenance energy requirements and estrus in beef cows. M.S. Thesis, Oklahoma State University.

Ballagh, B.A., 2018: Winter Wheat Response to Topdress Nitrogen Application Method and Source. 82 pp. M.S. Thesis, Oklahoma State University.

Bang, S. D., 2013: On the Mutual Interactions Between Convective Storms and Their Environments During the Midlatitude Continental Convective Clouds Experiment (MC3E) Field Campaign in Oklahoma. M.S. Thesis, The University of Utah.

Barreiro, A.S., 2011: Soybean yield and yield components as affected by planting date and maturity group in Oklahoma. M.S. Thesis, Oklahoma State University.

Basara, J. B., 1998: The relationship between soil moisture variation across Oklahoma and the Physical State of the near. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman, 192 pp.

Baugher, T., 2001: Spatial and temporal patterns of areal and volumetric phytoplankton productivity of Lake Texoma. M.S. Thesis, University of North Texas, Denton.

Beatty, K. A., 2003: Toward the systematic investigation of supercell precipitation archetypes. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman, 154 pp.

Bendixsen, D. P., 2014: Causes and effects of oak decline in an upland oak-hickory forest of eastern Oklahoma. M.S. Thesis, Oklahoma State University.

Benzing, A.T., 2021: Optimum Nitrogen Rate and Placement in Hard Red Winter Wheat (Triticum aestivum L). M.S. Thesis, Oklahoma State University.

Beyke, R. L., 2017: Thermal Ecology of Two Ground-Nesting Galliforms during a Critical Reproductive Stage. M.S. Thesis, Oklahoma State University.

Biffle, R. T., 2005: Assessment of the economics and land quality benefits of using urban compost in rural grain production: An Oklahoma, winter wheat case study of the Biffle farm. M.S. Thesis, Oklahoma State University.

Biles, C., 2020: Zebra Mussel (Dreissena Polymorpha) Population Dynamics at Sooner Lake, OK. M.S. Thesis, Oklahoma State University.

Bilga, N.K., 2012: Parameterization and application of the aquacrop model for simulating bioenergy crops in Oklahoma. M.S. Thesis, Oklahoma State University.

Blankenau, P. A., 2017: Bias and Other Error in Gridded Weather Data Sets and Their Impacts on Estimating Reference Evapotranspiration. M.S. Thesis, University of Nebraska.

Bode, C. S., 2015: Spatial clustering of false ring anomalies in Juniperus virginiana of the Oklahoma Cross Timbers. M.S. Thesis, Oklahoma State University.

Boeckman, C. J., 2005: The influence of environmental variables on contaminant effects in an ephemeral wetland in central Oklahoma. M.S. Thesis, Oklahoma State University.

Boyer, C. R., 2005: Nursery production of Euonymus fortunei: Chemical and cultural practices for controlling anthracnose. M.S. Thesis, Oklahoma State University.

Bradford, N. A., 2014: Hessian fly seasonal flight in Oklahoma's wheat growing regions. M.S. Thesis, Oklahoma State University.

Bradley, J. C., 2015: The response of shortleaf x loblolly hybrid pine seedlings to water stress and fire: Is lack of disturbance allowing hybrids to displace shortleaf pine?. M.S. Thesis, Oklahoma State University.

Brinson, K. R., 2007: An examination of precipitation variability with respect to frontal boundaries. M.S. Thesis, University of Delaware.

Britt, K., 2018: Strengths and Limitations of NSSL's Experimental Warn-on-Forecast System for Ensembles in Forecasting Cyclic Mesocyclogenesis. 135 pp. M.S. Thesis, University of Oklahoma.

Brotzge, J. A., 1997: A Preliminary Evaluation to Measuring Sensible Heat Fluxes using the Oklahoma Mesonet. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman.

Brown, W.G., 2021: Upscaling Soil Moisture Measurements from In Situ Sensors. M.S. Thesis, Oklahoma State University.

Bryant, M. H., 2009: Effect of growing beef replacement heifers on wheat pasture before and during breeding on reproductive peformance. M.S. Thesis, Oklahoma State University.

Buban, M. S., 2005: The dryline on 22 May 2002 during IHOP: Ground and in-situ data analyses of the dryline and boundary. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman, 74 pp.

Bunting, L., 2022: Determining the Impact of Evaporative Cooling and Inversion Layer Height on Heat Burst Formation in Decaying Convective Storms. 99 pp. M.S. Thesis, Texas Tech University..

Burke, A.J., 2023: Estimating Live Fuel Moisture Content in Oklahoma Plants. M.S. Thesis, Oklahoma State University.

Butchee, K.S., 2011: Evaluating the effects of soil pH on grain sorghum (sorghum bicolor) and sunflower (helianthus annuus L.) production. M.S. Thesis, Oklahoma State University.

Butler, H.E., 2017: Abiotic and Landscape Factors that Affect Spotted-Wing-Drosophila (Drosophila suzukii) Populations in Oklahoma. 101 pp. M.S. Thesis, Oklahoma State University.

Caasi, D. R. J., 2009: Abundance, diversity, and potential contamination sources of Enterococci in creeks. M.S. Thesis, Oklahoma State University.

Cahill, N. E., 2013: Evaluating Economic Impacts of Switchgrass Harvest Time. M.S. Thesis, University of Arkansas.

Case, J. L., 1998: The November 10-11, 1995 Southern Plains Intense Cold Front: An Application of Frontal Theory and Fo. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman.

Case, J.S., 2012: Inspection of earthen embankment dams using time lapse electrical resistivity tomography. M.S. Thesis, University of Mississippi.

Catlin, C.B., 2021: Cotton Harvest Aid Efficacy and Cotton Fiber Quality as Influenced by Application Timing. M.S. Thesis, Oklahoma State University.

Celis, J.A., 2019: Process Based Modeling of Surface Energy Fluxes, Evapotranspiration, Soil Moisture, and Soil Temperature in the US Southern Plains. 122 pp. M.S. Thesis, University of Oklahoma.

Chew, W., 2011: Correlation of in field survival of Escherichia coli O157:H7 with rainfall, relative humidity, and soil moisture. M.S. Thesis, Oklahoma State University.

Childers, J.T., 2020: Sensitivity of Winter Wheat (Triticum aestivum L.) to Quizalofop-P-Ethyl in Central Oklahoma and Kansas. M.S. Thesis, Oklahoma State University.

Cho, W., 2019: RI-PRF Crop Insurance Program Design. 47 pp. M.S. Thesis, Oklahoma State University.

Cook, V. K., 2010: Fire, browsing, and deer density in the mixed-grass prairie. M.S. Thesis, Oklahoma State University.

Crose, J.A., 2018: Horseweed and Smallseed Falseflax Management in Oklahoma Winter Wheat. 73 pp. M.S. Thesis, Oklahoma State University, Stillwater.

Cui, W., 2016: Comparison and evaluation of precipitation products from radar, satellite, and reanalyses over the continental United States. M.S. Thesis, University of North Dakota.

Daft, Cody, 2008: By-plant nitrogen response as function of delayed emergence in corn (Zea mays L.). M.S. Thesis. Department of Plant and Soil Sciences, Oklahoma State University, Stillwater.

Dale, L. L., 2014: Potential for aflatoxicosis in northern bobwhite (Colinus virginianus) exposed to contaminated grain at feeding stations. M.S. Thesis, Oklahoma State University.

Davidson, D.J., 2019: Effect of Different Methods and Timing of Nitrogen (N) Application on Sorghum (Sorghum bicolor L) Grain Yield. 50 pp.. M.S. Thesis, Oklahoma State University.

de Jeu, R. A. M., 2003: Retrieval of land surface characteristics using passive microwave remote sensing. M.S. Thesis, Vrije University, Amsterdam.

Desta, B., 2009: Identification of spectral bands for detecting nitrogen and phosphorus deficiencies in winter wheat. M.S. Thesis, Department of Plant and Soil Sciences, Oklahoma State University, Stillwater.

Dhital, S., 2013: Influence of Foliar Sulfur, Chloride and Nitrogen on Winter Wheat Grain Yield and Total Nitrogen (Triticum Aestivum L.). M.S. Thesis, Oklahoma State University.

Dong, J., 2013: Evaluating new approaches to measure and map soil moisture spatial variability. M.S. Thesis, Oklahoma State University.

Doskocil, J. P., 2007: Evaluating the occurrence, seasonal history, species composition and impact of Phyllophaga and Cyclocephala grubs infesting bermudagrass (Cynodon spp.) in Oklahoma. M.S. Thesis, Oklahoma State University.

Dotson, C., 2007: Effect of nitrogen fertilizer rate and placement on corn grain yield. M.S. Thesis, Department of Plant and Soil Sciences, Oklahoma State University, Stillwater.

Dryden, J.M. Jr., 2011: Potential climate change impacts on wind resources in Oklahoma: A focus on future energy output. M.S. Thesis, Oklahoma State University.

Dudek, J., 2020: A Burning Question: How Much Drought Causes Increased Flammability in Eastern Redcedar?. M.S. Thesis, Oklahoma State University.

Duquette, C. A., 2017: Indirect Effects of Energy Development in Grasslands. M.S. Thesis, Oklahoma State University.

Edmonds, D., 2008: Maize grain yield response to variable row nitrogen fertilization. M.S. Thesis. Department of Plant and Soil Sciences, Oklahoma State University, Stillwater.

Eguren, R. E. , 2014: Community composition, population demographics, and tissue metal concentrations in bats (Chiroptera) at Tar Creek Superfund Site: With focus on use of a behavioral flight cage assay. M.S. Thesis, Oklahoma State University.

Eickhoff, E.M., 2018: Effect of Applying Nitrogen with Sorghum Seed (Sorghum bicolor) on Emergence and Final Grain Yield. 59 pp. M.S. Thesis, Oklahoma State University.

Einsohm, M., 2012: The popular guide to whole systems and integrative design process. M.A. Thesis, Prescott College.

England, Brandon, 2008: Stream and flat fan topdress application of urea ammonium nitrate in winter wheat (Triticum aestivum. M.S. Thesis, Department of Plant and Soil Sciences, Oklahoma State University, Stillwater.

Erlingis, J. M., 2012: An Investigation of the Role of Land-Atmosphere Interactions on Nocturnal Convective Activity in the Southern Great Plains. M.S. Thesis, Duke University.

Faisal Lopez, J., 2020: Effects of Grazing Management and Targeted Anthelmintic Administration on the Performance, Parasite Burden, and Hematologic Profiles of Hair Sheep. M.S. Thesis, Oklahoma State University.

Fang, L., 2010: Research on deriving consistent land surface temperature from the geostationary operational environmental satellite series. M.S. Thesis, George Mason University.

Farno, L. A., 2005: Oil and fatty acid profiles of soybeans (maturity groups IV, V, and VI). M.S. Thesis, Oklahoma State University.

Fehrenbach, S. D., 2016: Development of a rocket launched sounding UAS. M.S. Thesis, Oklahoma State University.

Fiebrich, C. A., 2000: Unique Meteorological Phenomena Detected by the Oklahoma Mesonet and ARS Micronet: A Precatious Prob. M.S Non-Thesis Research Paper, School of Meteorology, University of Oklahoma, Norman.

Fierro, A. O., 2003: The influence of local environmental conditions upon supercell thunderstorm kinematics, microphysics. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman, 155 pp.

Fine, K. E., 2010: The use of cottonseed meal with or without soapstock or canola meal without soapstock as an organic fertilizer. M.S. Thesis, Oklahoma State University.

Fitzpatrick, C.H., 2012: Using microbial indicators to assess soil ecosystem restoration. M.S. Thesis, Oklahoma State University.

Flanagan, P. X., 2016: The Dryline, Convective Initiation and Rapid Evolution of Drought in Oklahoma During 2011. M.S Thesis, School of Meteorology, University of Oklahoma.

Flournoy, M., 2017: A Tale of Two Mesovortices: Analysis of a Simulated Severe MCS Observed By PECAN on 5-6 July 2015. M.S. Thesis, University of Oklahoma.

Fogarty, D. T., 2016: Assessment of Olfactory Concealment Related to Habitat Selection by Terrestrial Animals. M.S. Thesis, Oklahoma State University.

Ford, T. W., 2013: Investigation of Soil Moisture-Vegetation Interactions in Oklahoma. M.S. Thesis, Texas A&M University.

Fortin, S. M., 1998: A Qualitative Assessment of the Soil Moisture Parameterization of the Sacrameto Soil Accounting Mode. M.S. Non-Thesis Research Paper, School of Meteorology, University of Oklahoma, Norman.

Foye, S., 2014: Characterization of ground-dwelling arthropod assemblages in northern bobwhite (Colinus virginianus) habitat. M.S. Thesis, Oklahoma State University.

Frederick, N. T., 2015: Storage of Round and Square Switchgrass Bales: Effect of Storage Time and Fungal Inoculation on Saccharification Efficiency. M.S. Thesis, University of Arkansas.

Freeman, K. W., 2002: Late-season prediction of wheat grain yield and grain protein. M.S. Thesis. Department of Plant and Soil Sciences, Oklahoma State University, Stillwater.

French, M. M., 2006: The 15 May 2003 Shamrock, Texas supercell: A dual-Doppler analysis and EnKF data assimilation experi. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman,145 pp.

Gabbert, D. W., 2015: An evaluation of image based techniques for wildfire detection and fuel mapping. M.S. Thesis, Oklahoma State University.

Gaddy, J. R., 1999: A study of springtime precipitation using the WSR-88D at Twin Lakes, Oklahoma. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman, 54 pp.

Gargan, W. P., 1995: A Mechanism for low level mesocyclone development revealed through WSR-88D Doppler radar data analys. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman, 138 pp.

Gatlin, J. C., 2015: Comparison of grain sorghum and corn productivity under limited irrigation using subsurface drip. M.S. Thesis, Oklahoma State University.

George, A. D., 2009: Avian response to old world bluestem (Bothriochloa ischaemum) monocultures in mixed-grass prairie. M.S. Thesis, Oklahoma State University.

Gerhardt, A., 2021: Implementing New Alfalfa Technologies into Water-Limited Environments. M.S. Thesis, Oklahoma State University.

Geyer, C. J., 2014: Steep spatial chemical gradients in shallow groundwater contaminated with nitrate at a residential site. M.S. Thesis, Oklahoma State University.

Ghos, S., 2020: Evaluation of Causes of Transverse and Fatigue Cracking in Flexible Pavements Using Laboratory and Field Testing and PMED Simulation. 120 pp. M.S. Thesis, University of Oklahoma.

Gibbs, J. A., 2008: Turbulent Transport and Surface Interactions Within Inhomogeneous Atmospheric Environments: An Evalu. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman.

Gillum, S., 2007: The Air Spora Surrounding a Compost Facility in Miami, Oklahoma. M.S. Thesis, Tulsa University, Tulsa.

Giuliano, D. J., 2004: Using the B-W fuzzy logic technique to estimate CBL depth from 915 MHz wind profiler data. M.S.P.M. Non-Thesis Research Paper, University of Oklahoma, Norman, 40 pp.

Gladsome, O. K., 2017: Mapping and Evaluating Geomorphic Changes in the Area of the Arbuckle Anticline Rockslide along I-35, Oklahoma, Using Terrestrial Laser Scanner and Photogrammetry. 63 pp. M.S. Thesis, University of Texas at Dallas.

Goble, P., 2016: Maximizing the utility of available root zone soil moisture data for drought monitoring purposes in the Upper Colorado River Basin and western High Plains, and assessing the interregional importance of root zone soil moisture on warm season water. M.S. Thesis, Colorado State University.

Godfrey, C. M., 2002: A scheme for correcting rainfall rates measured by a 2-D video disdrometer.. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman, 119 pp.

Goebbert, K., 2006: The Kinematics and Dynamics of an Extreme Warm-Frontal Passage. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman.

Graf-Grachet, N., 2015: Effect of foliar fungicides on relative chlorophyll content, green leaf area, yield and test weight of winter wheat. M.S. Thesis, Oklahoma State University.

Greene, B., 2018: Boundary Layer Profiling Using Rotary-Wing Unmanned Aircraft Systems: Filling the Atmospheric Data Gap. M.S. Thesis, University of Oklahoma.

Greenfield, J., 2000: The Oklahoma Fire Danger Model: Application of the Oklahoma Mesonet to the National Fire Danger Rati. M.S Non-Thesis Research Paper, School of Meteorology, University of Oklahoma, Norman.

Griffin, A., 2018: A review of the application of databases in freshwater fisheries management and the effect of water quality on the mean relative weight of largemouth bass, crappie, and channel catfish in Oklahoma lakes. M.S. Thesis, University of Oklahoma.

Hain, C., 2007: A Thermal Infrared-based Retrieval of Soil Moisture Towards the Improvement of the Initialization of. M.S. Thesis, University of Alabama in Huntsville, Huntsville.

Haliczer, D., 2018: An Observational and Numerical Modeling Perspective of a Nocturnal QLSC and Its Rapidly Evolving Environment During Vortex-Se on 9-10 March 2017. 131 pp. M.S. Thesis, University of Alabama in Huntsville.

Hall, P. K., 2004: The urban environment of Oklahoma City: a spatial and temporal analysis of the meteorological condit. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman, 136 pp.

Hamm, K. G., 2003: Albedo observations in the ARM Southern Great Plains Cloud and Radiation Testbed for 1998 and 1999. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman, 140 pp.

Hand, L., 2008: An Investigation of Warm Season Spatial Rainfall Variability in Oklahoma City: Possible Linkages to. M.S. Thesis, Department of Geography, University of Georgia, Athens.

Haugland, M., 2002: The Diurnal Cycle of Land-Atmosphere Interactions Across Oklahoma's Winter Wheat Belt. M.S. Non-Thesis Research Paper, School of Meteorology, University of Oklahoma, Norman.

Hedges, W. J., 2012: Starter fertilizer management for corn and soybean in the Southern Plains. M.S. Thesis, Oklahoma State University.

Hiatt, E. L. I., 2014: Patch-burning in mixed grass prairie: Animal use of riparian areas and effects on plant species richness. M.S. Thesis, Oklahoma State University.

Hilgendorf, E. R., 1996: Evolution of precipitation structures within mesoscale convective systems. M.S. Thesis, Department of Atmospheric Science, Colorado State University, Fort Collins.

Hodgen, P., 2003: Use of a response index and in-season predicted yield to determine topdress nitrogen needs, II. Rela. M.S. Thesis, Department of Plant and Soil Sciences, Oklahoma State University, Stillwater.

Holtz, S. L., 2007: Above-ground nitrogen accumulation as a function of time in corn and winter wheat. M.S. Thesis, Oklahoma State University.

Holzbauer-Schweitzer, B., 2016: Evaluating Low Impact Development Best Management Practices as an Alternative to Traditional Urban Stormwater Management. M.S. Thesis, University of Oklahoma.

Hoops, J, 2017: Biotic and Abiotic Factors Affecting Abundance of the American Burying Beetle, Nicrophorus americanus. 54 pp. M.S. Thesis, Oklahoma State University.

Horn, K., 2019: Introducing Grazable Cover Crop to Wheat Systems in Oklahoma. M.S. Thesis, University of Oklahoma.

Hough, M.W., 2011: Comparing soil and hydrological conditions of wetlands reserve program restorations and natural wetlands along the deep fork river, Oklahoma (USA). M.S. Thesis, Oklahoma State University.

Hung, C.J., , 2012: Ecohydrological effects of eastern redcedar encroachment in tallgrass prairie. M.S. Thesis, Oklahoma State University.

Husz, T., 2019: The Effect of Competition for an Automated Supplement Feeder on Supplement Intake Behavior of Beef Stocker Steers. 103 pp. M.S. Thesis, Oklahoma State University.

Illston, B. G., 2002: Climatological Influences on the Seasonal Variation of Soil Moisture Using the Oklahoma Mesonet. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman, 66 pp.

James, E., 2009: An observations climatology of midlattitude mesoscale convective vortices. M.S. Thesis, Department of Atmospheric Science, Colorado State University, Fort Collins.

James, M., 2006: Refractivity Retrieval From Ground Clutter Echoes Implemented on the KOUN S-Band Radar. M. S. Thesis, School of Meteorology, University of Oklahoma, Norman.

Jankovic, S., 2000: Surrogate bridge freezing sensors. M.S. Thesis, Oklahoma State University, Stillwater.

Jarrell, K.R., 2019: Phenology of Eastern Grape Leafhopper, Erythroneura comes (Say), and Abundance on Grape Cultivars, with Notes on Other Leafhoppers of Importance. 123 pp. M.S. Thesis, Oklahoma State University.

Jennrich, G., 2019: Synoptic Characteristics and Precursors to Subseasonal to Seasonal Extreme Precipitation Events Across the United States. 70 pp. M.S. Thesis, University of Oklahoma.

Jones, A., 2022: Spatial Ecology of Black Rat Snakes (Pantherophis obsoletus) at the Oklahoma City Zoo and Botanical Gardens, Oklahoma City, Oklahoma. 46 pp. M.S. Thesis, University of Central Oklahoma.

Kanofsky, L., 2007: Characterization of central Oklahoma precipitation using radar-derived and ground-based drop size di. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman, 99 pp.

Kellner, O. B., 2011: The role of anomalous soil moisture on the inland reintensification of Tropical Storm Erin (2007). M.S. Thesis, Purdue University.

Kerr, D.D., 2019: Evaluating Environmental Influences on Grassland Soil Organic Carbon Temporal and Spatial Distribution. 54 pp. M.S. Thesis, Oklahoma State University.

Kersten, M. L., 2017: Effects of Land Use and Associated Management Practices on Cycnia collaris, a Dispersal Limited Habitat Specialist. M.S. Thesis, Oklahoma State University.

Kesiraju, A., 2017: Assessing Impact of Climate Change on Oklahoma Bridge Deck and Superstructure Deterioration using National Bridge Inventory Data. M.S. Thesis, University of Oklahoma.

Kezar, S.E., 2020: Response of Simulated Stress of Soybean Production Systems: Growth Parameters and Yield. M.S. Thesis, Oklahoma State University.

Knoch, A. R., 2014: Beyond high quality habitat corridors: Evaluating the effectiveness of realistic alternatives. M.S. Thesis, Oklahoma State University.

Koller, D. R., 2013: Mobile vehicle road and weather observation quality check methods. M.S. Thesis, University of North Dakota.

Korman, A. L., 2013: Using Acoustic Surveys to Determine Presence, Habitat Preferences, and Species Composition of Bats (Chiroptera) in Eastern Oklahoma. M.S. Thesis, Oklahoma State University.

Krause, J. C., 1998: Using the Oklahoma Mesonetwork to Evaluate a Practical Sampling Error Statistic for Missing Data in . M.S. Thesis, University of Oklahoma, Norman.

Krause, J. M., 1996: Application of the Bratseth technique to mesoscale objective analysis. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman, 94 pp.

Kundiyana, D. K., 2006: Sorganol: In-field production of ethanol from sweet sorghum. M.S. Thesis, Oklahoma State University.

Kuroski, A., 2018: An Investigation of the Conditional Practical Predictability of the 31 May 2013 Heavy-Rain-Producing Mesoscale Convective System. M.S. Thesis, University of Wisconsin-Milwaukee.

Lagerquist, R., 2016: Using Machine Learning to Predict Damaging Straight-line Convective Winds. M. S. Thesis, School of Meteorology, University of Oklahoma, 251 pp.

Lamkin, B., 2023: Examining CERES Downward Shortwave Surface Radiative Flux Measurements in the Context of Oklahoma Mesonet Measurements in 2019-2021. M. S. Thesis, School of Meteorology, University of Oklahoma, 103 pp.

Lane, J. D., 2000: A climatology of heatbursts as detected by the Oklahoma Mesonet: October 1993 through September 1998. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman, 141 pp.

Lappin, F.M., 2021: Assessing the Utility of Low-Level Buoyancy and Copterconde Measurements to Understand Atmospheric Boundary Layer Transitions. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman, 94 pp.

Latimer, S. A., 2005: Comparison of wind profiler observations and numerical weather prediction forecasted winds during se. M. S. Thesis, Texas Tech University, Lubbock.

Lawles, K., 2006: Effect of delayed emergence on corn grain yield.. M.S. Thesis, Department of Plant and Soil Sciences, Oklahoma State University, Stillwater.

Lay, J. J., 2014: Water quality and the first-flush effect in roof-based rainwater harvesting. M.S. Thesis, Oklahoma State University.

Leonard, K., 2018: Input Management for Improving Double-Crop Soybean Management in Oklahoma. M.S. Thesis, Oklahoma State University.

Lesage, A.T., 2013: Frontal Passage and Cold Pool Detection Using Oklahoma Mesonet Observations. M.S. Thesis, University of Utah.

Levit, N. L, 2004: High-resolution storm-scale ensemble forecasts of the 28 March 2000 Fort Worth tornadic storms. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman, 165 pp.

Li, M., 2015: White rot fungi Pleurotus ostreatus pretreatment on switchgrass to enhance enzymatic hydrolysis and ethanol production. M.S. Thesis, Oklahoma State University.

Lin, C., 2014: Evaluation of double-moment representation of warm-rain and ice hydrometeors in bulk microphysical parameterization. M.S. Thesis, University of Utah.

Linneman, J.W., 2011: Developing row spacing and planting density recommendations for sweet sorghum production in the southern great plains. M.S. Thesis, Oklahoma State University.

Lisenbee, W. A., 2016: Comparison of water quality and quantity in Eastern Redcedar-encroached woodland and native tallgrass prairie watersheds: A monitoring and modeling study. M.S. Thesis, Oklahoma State University.

Little, A. R., 2011: Human predation risk effects on adult, male white-tailed deer antipredator behavior. M.S. Thesis, Mississippi State University.

Liu, Y., 2013: Testing and selecting drought resistant common bermudagrass genotypes. M.S. Thesis, Oklahoma State University.

Londe, D.W., 2017: Effects of Rangeland Management and Energy Development on the Habitat Use of Grassland Birds in the Sourthern Great Plains. 81 pp. M.S. Thesis, Oklahoma State University..

Lorensen, J., 2009: Use of cutoff channels by fishes in the Verdigris River, OK. M.S. Thesis, Oklahoma State University.

Lovett, J.J., 2020: Foraging and Light Avoidance Thresholds in Wild Rodents Exposed to Differing Levels of Light Pollution. M.S. Thesis, Oklahoma State University.

Lucius, W. T., 1998: Adoption of Mesonet weather information in Oklahoma agriculture. M.S. Thesis, Oklahoma State University, Stillwater.

Mack, C., 2006: Validation of nitrogen calibration strip technology for prescribing accurate topdress nitrogen ferti. M.S. Thesis, Department of Plant and Soil Sciences, Oklahoma State University, Stillwater.

Macnack, N.E., 2012: In season prediction of nitrogen use efficiency and grain protein in winter wheat (Triticum Aestivum L.). M.S. Thesis, Oklahoma State University.

Magsig, M. A., 1996: Physical explanations for the long-range transport of debris by tornadic thunderstorms. M. S. Thesis, School of Meteorology, University of Oklahoma, Norman, 112 pp.

Mahan, H., 2016: In-Situ measurements and remotely sensed estimations of surface fluxes over the Southern Great Plains of the United States. M.S. Thesis, School of Meteorology, University of Oklahoma.

Makaju, S., 2010: Winter biomass yield, year-round elemental concentrations of ‘Kanlow’ switchgrass, and associated soil nutrients in a zero input environment. M.S. Thesis, Oklahoma State University.

Malapati, A. R., 2006: Quantifying ammonia volatilization from swine effluent applied calcareous clay loams in the southern Great Plains. M.S. Thesis, Oklahoma State University.

Mallinson, H.M., 2018: Microphysical Influences on cold pools. M.S. Thesis, University of Illinois.

Maples, J.A., 2019: Modeling Soil Treatment Area Requirements for Conventional Septic Systems Across a Climate Gradient. 57 pp.. M.S. Thesis, Oklahoma State University.

Markowski, P. M., 1997: Tornadic supercell interactions with boundaries during vortex, with implications for anticipating lo. M.S Thesis, School of Meteorology, University of Oklahoma, Norman, 139 pp.

Marshall, C. H. Jr, 1998: Evaluation of the New Land-Surface and Planetary Boundary Layer Parameterization Schemes in the NCEP. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman.

Martin, K., 2005: Expression of spatial variability in corn (Zea Mays L.) as influenced by growth stage using optical . M.S. Thesis, Department of Plant and Soil Sciences, Oklahoma State University, Stillwater.

Mayes-Fernandez, M., 2009: Evaluation of power function approximation of NEXRAD and rain gauge based precipitation estimates. M.S. Thesis, Florida Atlantic University.

McLoon, C. M., 2001: An examination of sensible heat flux using the gradient-profile technique at ten Oklahoma Mesonet sites. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman, 91 pp.

McNeff, C., 2021: Comparison of Various Ectoparasite Control Strategies and Viral Vaccine Regimens in Feedlot Cattle: Impacts on Performance, Health, Parasite Burden, Acute Phase Proteins and Antibody Titers. M.S. Thesis, Oklahoma State University.

McNeill, K.R., 2020: Effects of Forage Allowance and Supplementation on Performance of Steers Grazing Winter Wheat Pasture. M.S. Thesis, Oklahoma State University.

McPhillips, L.J., 2017: Grain Adaptation and Source Impact on Eating Behavior and Performance of Feedlot Steers. 121 pp. M.S. Thesis, Oklahoma State University.

McQuaig, J.D., 2021: Distribution of Resprouting Woody Plants and the Effect of Fire on Vegetation Types in the Southern Great Plains. M.S. Thesis, Oklahoma State University.

Meador, H.N., 2019: Evaluating and Developing Water Intake Prediction Equations for Growing and Finishing Feedlot Steers. M.S. Thesis, Oklahoma State University.

Meier, A.N., 2021: Effects of Hunter Movement and Habitat Use on Observation Rate of White-Tailed Deer (Odocoileus virginianus). 83 pp. M.S. Thesis, University of Nebraska - Kearney.

Moehlenpah, A.N., 2020: Water and Forage Intake, Diet Digestibility, and Blood Parameters for Beef Cows and Growing Heifers Consuming Water with Varying Concentrations of Total Dissolved Salts. M.S. Thesis, Oklahoma State University.

Moges, S., 2002: Use of red and green NDVI for yield prediction in winter wheat. M.S. Thesis, Department of Plant and Soil Sciences, Oklahoma State University, Stillwater.

Monroe, A. P., 2010: Winter bird habitat use at multiple scales in a heterogeneous tallgrass prairie. M.S. Thesis, Oklahoma State University.

Monroe, J. W., 2007: Evaluating NARR surface reanalysis variables and NLDAS using Oklahoma Mesonet observations. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman.

Moore, A., 2018: Observing System Simulation Experiment Studies on the Use of Small UAV for Boundary-Layer Sampling. M.S. Thesis, School of Meteorology, University of Oklahoma, 147 pp.

Morris, D.A., 1998: The Utility of Mesoscale Observation for the Short-Term Prediction of Convection. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman.

Morris, M. W., 2013: Mobile propeller dynamometer validation. M.S. Thesis, Oklahoma State University.

Morris, M.P., 2008: Microphysical Properties of Oklahoma Squall Lines Revealed by Combined Profiling and Polarimetric Ra. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman..

Mota, R.G.D.M., 2020: Soil Moisture Dynamics in a Disturbance Forest, Savannah, and Grassland Ecotone. M.S. Thesis, Oklahoma State University.

Mullock, A. E., 2013: I. Evaluation of soil compaction in no-till winter wheat (Triticum aestivum L.) under forage grazing systems II. Comparison of a single and multi-cone penetrometer. M.S. Thesis, Oklahoma State University.

Musselman, W. C., 2014: The importance of maintaining shallow-water habitats for the movement and survival of stream fishes. M.S. Thesis, Oklahoma State University.

Nagol, J. R., 2004: Understanding the Temperature-Vegetation Index from remotely sensed AVHRR data using Oklahoma Mesone. M.A. Thesis, Department of Geography, University of Toledo, Toledo.

Natenberg, E., 2008: Multi-Doppler Radar Analysis of a Tornadic Thunderstorm using a 3D Variational Data Assimilation Tec. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman.

Nemunaitis, K. L., 2000: Validation of the North American land data assimilation system (NLDAS) using data from Oklahoma Meso. M.S Non-Thesis Research Paper, School of Meteorology, University of Oklahoma, Norman.

Nordhues, K., 2022: Wildfire Risk Along the Wildland-Urban Interface in Oklahoma in Relation to Encroaching Eastern Redcedar. M.S. Thesis, University of Oklahoma.

Oberheu, D. T., 1999: Significance of aflatoxin exposure to northern bobwhite from native and supplemental feeds. M.S. Thesis, Texas Tech University, Lubbock.

Omara, P., 2013: Effect of Seed Distribution and Population on Maize (Zea Mays L.) Grain Yield. M.S. Thesis, Oklahoma State University.

Ong, J., 2009: Assessing the risk of in-field microbial contamination of leafy greens using inoculated soil. M.S. Thesis, Oklahoma State University.

Orr, S. T., 2013: Long-term Prescribed Fire Does Not Alter Litter Decomposition and Bioavailable Nitrogren in Xeric Oak Forests. M.S. Thesis, Oklahoma State University.

Osborne, A., 2016: Assessing the impact of non-conventional observation types on high-resolution 3DVAR analyses and ARW-WRF forecasts. M.S. Thesis, University of Oklahoma.

Patrignani, A., 2011: Soil water dynamics of no till cropping systems in Oklahoma. M.S. Thesis, Oklahoma State University.

Payne, A.F., 2011: Evaluation of pecan scab disease management strategies to improve orchard production and reduce pesticide input. M.S. Thesis, Oklahoma State University.

Periard, T. S., 2007: Herpetological survey of the Black Mesa ecoregion, Oklahoma, with an emphasis on the ecology of the Texas horned lizard (Phrynosoma cornutum). M.S. Thesis, Oklahoma State University.

Perkins, S.A., 2012: Crop model review and sweet sorghum crop model parameter development. M.S. Thesis, Kansas State University.

Pham, T.G., 2020: Evaluating the Effects of Vegetation Cover and Phenology on the Components of the Surface Energy Fluxes, Soil Temperature and its Damping Depth, Soil Moisture and the Partioning of the Evapotranspiration Across Forest, Grassland and Desert Ecosystems. 232 pp. M.S. Thesis, University of Oklahoma, Norman,.

Pickens, C.M., 2018: A Comparison Between Model and Field Diesel Mass Recovery in Dolomite Karst. M.S. Thesis, Oklahoma State University.

Poudel, B. P., 2010: Testing of clonal bermudagrass cultivars and experimental genotypes for differences in drought performance. M.S. Thesis, Oklahoma State University.

Pyle, P. C., 2006: Urban land-surface impacts on convective thunderstorm and precipitation characteristics. M.S. Thesis, Marine, Earth and Atmospheric Sciences, North Carolina State University, Raleigh, NC.

Ramaswamy, K, 2016: Economics of Irrigated Crop Choices Using Center Pivot System in Oklahoma Panhandle. M.S. Thesis, Oklahoma State University, 155 pp.

Rapp, D., 2007: Passive microwave measurement of soil moisture using WINDSAT. M.S. Thesis, Department of Atmospheric Science, Colorado State University, Fort Collins, 199 pp.

Rathke, J. M., 2007: Modeling road pavement temperatures with skin temperature observations from the Oklahoma Mesonet. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman.

Ray, K. L., 2010: Tamarix species (salt cedar) stem density along fluvial and salinity gradients on the Salt Plains National Wildlife Refuge. M.S. Thesis, Oklahoma State University.

Reader, A. J., 2005: Depth-duration frequency of precipitation for Oklahoma using the Oklahoma Mesonet.. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman, 107 pp.

Reen, B., 2002: The effects of heterogeneous soil moisture on the structure of the planetary boundary layer. M.S. Thesis, Penn State University, 169 pp.

Reid, A. M., 2009: Conservation and fire management of Great Plains landscapes. M.S. Thesis, Oklahoma State University.

Richardson, S. J., 1992: Automated Temperature and Relative Humidity Calibrations for the Oklahoma Mesonetwork. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman.

Richins, J.G., 2020: Analytical Modeling of Conductivity Chemographs of Byrds Mill Spring. M.S. Thesis, Oklahoma State University.

Robertson, S. G., 2009: Herbicide control and seed bank dynamics of Old World bluestem. M.S. Thesis, Oklahoma State University.

Robinson, P. C., 1995: Rain-rate statistics in Oklahoma for 1994 based on rain-gauge data from the Oklahoma Mesonet. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman, 87 pp.

Rogers, B., 2007: Morphology of fixed sand dunes for paleowind reconstruction in northwestern Oklahoma. M.S. Thesis, Oklahoma State University.

Roy, G. R., 2013: The radiative and hydrologic effects of a local switch from maize to miscanthus. M.S. Thesis, Colorado State University.

Rubinstein, B., 2023: The Effect of Time Step on HSPF Model Performance. 45 pp. M.S. Thesis, Illinois Institute of Technology.

Sallee, B., 2015: Estimating Groundwater Recharge Using the Oklahoma Mesonet. M.S. Thesis, Oklahoma State University.

Santellanes, S., 2019: Environmental Conditions Associated with Horizontal Convective Rolls and Cellular Convection. 37 pp. M.S. Thesis, Pennsylvania State University.

Scott, B., 2012: Developing a soil property database for the Oklahoma Mesonet. M.S. Thesis, Oklahoma State University.

Septiano, W. P., 2010: Evaluation of hulless barley for potential ethanol production. M.S. Thesis, Oklahoma State University.

Shellberg, D. J., 1994: Spatial and Temporal Variation of the Earth/Atmosphere System across Oklahoma from October 1993 through January 1994. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman.

Shenkman, A., 2008: High Resolution Assimilation of CASA and WSR-88D Data for the Prediction of a Tornadic Convective Sy. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman.

Shenoy, V., 2021: Observing System Simulation Experiments Using Small Unmanned Aerial Vehicles in Various Configurations to Improve High-Resolution Forecasts of Convection. 177 pp. M.S. Thesis, The University of Oklahoma.

Shepherd, L. M., 2013: Utilizing Npks Rich Strips Throughout Oklahoma Winter Wheat Production. M.S. Thesis, Oklahoma State University.

Sherrill, C.W., 2019: Analyzing Sericea Lespedeza (Lespedeza cuneata) Management Practices and the Importance of Forbs in the Diet of Cattle and Bison on Tallgrass Prairie. 82 pp. M.S. Thesis, Oklahoma State University.

Sherrill, K.K., 2019: Influence of Eastern Red Cedar on Tabanidae Populations in Oklahoma. 84 pp.. M.S. Thesis, Oklahoma State University.

Shipman, A.M., 2019: Investigation of nest predation as a cause of turtle population declines on the Sequoyah National Wildlife Refuge, Oklahoma. 54 pp. M.S. Thesis, Rochester Institute of Technology.

Shrestha, P., 2012: Production, evaluation, and genetic manipulation of grass species for ornamental use. M.S. Thesis, Oklahoma State University.

Simonsen, T., 2001: The meso-scale influence of terrain on the nocturnal variation of temperature in the Little Washita . M.S. Thesis, School of Meteorology, University of Oklahoma, Norman, 95 pp.

Small, M., 2018: Ticks and Tick-Borne Pathogens of Residential and Non-Residential Parks in Edmond, Oklahoma. 62 pp. M.S. Thesis, University of Central Oklahoma.

Smith, M.L., 2021: Impact of Delayed Nitrogen Application in Grain Sorghum. M.S. Thesis, Oklahoma State University.

Souza, J. L. B., 2018: Impact of Nitrogen Fertilizer Application Timing on Winter Wheat. M.S. Thesis, Oklahoma State University.

Stano, G. T., 2003: A case study of convective initiation on 24 May 2002 during the IHOP field experiment. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman, 106 pp.

Stein, D. R., 2004: Dose response of a direct-fed microbial on milk yield, milk components, body weight, and days to first ovulation in primiparous and multiparous Holstein cows. M.S. Thesis, Oklahoma State University.

Steinweg-Woods, J. M., 2010: Surface and synoptic features of leading and parallel stratiform mesoscale convective systems. M.S. Thesis, Colorado State University.

Stenz, R. D., 2014: Improving satellite quantitative precipitation estimates by incorporating deep convective cloud optical depth. M.S. Thesis, University of North Dakota.

Stock, C. M., 1998: Intercomparison of icing aviation variable forecasts produced during real-time mesoscale numerical w. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman, 187 pp.

Sturgis, K. M., 2007: Spatial coherence of rainfall variations using the Oklahoma Mesonet. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman.

Suarez Freile, S.E., 2018: Characterization of Tan Spot Fungus Populations on Wheat in Oklahoma. 134 pp. M.S. Thesis, Oklahoma State University.

Tanganelli, K. M., 2011: Sequential fractionation and water soluble phosphorus methods to investigate soil phosphorus in a long-term manure application. M.S. Thesis, Oklahoma State University.

Tapp, K., 2007: Investigation of the Use of WSR-88D Precipitation Estimates for Near-Real Time Quality Assurance of . M.S.P.M. Non-Thesis Research Paper, School of Meteorology, University of Oklahoma, Norman.

Tauer, P. K., 2010: Strategies for successful germination of Rocky Mountain juniper (Juniperus scopulorum sarg.) in an Oklahoma nursery. M.S. Thesis, Oklahoma State University.

Taylor, R., 2021: Applying a Community Capitals Framework to Compare Rural, Farming-Dependent Counties in Oklahoma. M.S. Thesis, Oklahoma State University.

Torquato, P.R., 2019: Water Relation and Photosynthetic Performance of Eastern Redcedar (Juniperus Virginiana) and Post Oak (Quercus Stellata) in the Cross Timbers Forest. M.S. Thesis, Oklahoma State University.

Trammell, K. A., 2004: The WSR-88D and environmental characteristics of heat burst producing echoes and their application t. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman, 141 pp.

Trent, M. A., 2004: Etiology and management of spinach white rust. M.S. Thesis, Oklahoma State University.

Tripp, D.D., 2019: An Assessment of Oklahoma Winter Weather Through the High-Resolution Lens of Unmanned Aerial Vehicles. 57 pp. M.S Thesis, School of Meteorology, University of Oklahoma.

Tu, L., 2019: Downscaling SMAP Soil Moisture Data Using MODIS Data. M.S. Thesis, Louisiana State University, 70 pp.

Turner, P., 2007: Indirect measurement of crop plant height using sonar. M.S. Thesis, Department of Plant and Soil Sciences, Oklahoma State University, Stillwater.

Vadel, D., 2005: A study of spatial distribution of ozone and its correlation with meteorological parameters and precursors. M.S. Thesis, Oklahoma State University.

Varner, B.T., 2011: No till versus tilled dryland cotton, grain sorghum, and wheat, and breakeven pasture lease rate for dual purpose winter wheat. M.S. Thesis, Oklahoma State University.

Vaughn, S. M., 1996: Climatology of the Great Plains low level jet using balanced flow with linear friction. M.S. Thesis, Massachusetts Institute of Technology, Cambridge.

Vaverka, B.A., 2018: Initial Evaluation of Seasonal Yield and Irrigation Demand Forecasting Frameworks for Oklahoma. 76 pp. M.S. Thesis, Oklahoma State University.

Vinson, M. F., 2016: The effects of AquaSmart polymer coated sand on growth and water use of ornamentals, nutrient leaching in greenhouse media, and establishment and growth of turfgrass. M.S. Thesis, Oklahoma State University.

Vishwanathan, R., 2005: Evaluation of ground speed sensing devices under varying ground surface conditions. M.S. Thesis, Oklahoma State University.

Wagner, M., 2018: Spatial Analysis of Drought and its Impacts in the Chickasaw Nation. M.S. Thesis, University of Oklahoma.

Wagner, M.J., 2018: Spatial Analysis of Drought and Its Impacts in the Chickasaw Nation. 100 pp. M.S. Thesis, University of Oklahoma.

Wakefield, R. A., 2018: A 16-Year Observational Analysis of Land-Atmosphere Coupling in Oklahoma Using Mesonet and North American Regional Reanalysis Data. M.S. Thesis, University of Oklahoma, 90 pp.

Wallen, K. E., 2010: Fire, grazing, and herbicide: Effects of rangeland management on bee and floral communities in Oklahoma. M.S. Thesis, Oklahoma State University.

Walsh, O. S., 2006: Effect of delayed nitrogen fertilization on corn grain yields. M.S. Thesis, Department of Plant and Soil Sciences, Oklahoma State University, Stillwater.

Walton, A., 2020: The Impact of Nurse Plants and Microclimate on Spatial and Temporal Trends of Juniperus virginiana L. Seedlings in an Oklahoma Grassland. M.S. Thesis, University of Oklahoma, Norman, 78 pp..

Ward, T. B., 2014: Influence of an urban heat island on mosquito development and survey of biting midge species associated with white-tailed deer farms. M.S. Thesis, Oklahoma State University.

Watson, B.H., 2018: Single Versus Dual Pesticide Applications for Increasing Oklahoma Winter Wheat Grain Yield and Profitability. 79 pp. M.S. Thesis, Oklahoma State University.

Wehmeyer, G. B., 2017: Optimum Preplant Nitrogen Rates for Maize (Zea Mays L.) and Sorghum (Sorghum Bicolor L.) Production. M.S. Thesis, Oklahoma State University.

West, A. L., 2013: Ecohydrological response of native tallgrass prairie with fire and grazing disturbance. M.S. Thesis, Oklahoma State University.

Whittier, C. A., 2007: Quantifying the influence of environmental conditions on the effect of winter wheat.. M.S. Thesis, School of Meteorology, University of Oklahoma, Norman.

Wimhurst, J. J., 2019: Future Impact on the Low-Level Jet and its Effects on Wind Energy Generation in Oklahoma. M.S. Thesis, University of Oklahoma, Norman, 165 pp..

Wolf, S., 2019: Movement, Survival, and Resource Use by Stocked Rainbow Trout. 204 pp. M.S. Thesis, Oklahoma State University.

Wugofski, S.J., 2019: Synoptic and Mesoscale Analysis of the 2015 Southern Great Plains Flash Pluvial. 122 pp. M.S. Thesis, University of Oklahoma.

Xie, L., 2022: Development of Envelope Evaluation Benchmarks Using EnergyPlus and Data-Driven Thermal Model . M.S. Thesis, University of Oklahoma.

Xu, C., 2017: Making Satellite Sensors Better for Hydroclimatic Applications: Evaluation of NASA SMAP Soil Moisture Using Oklahoma’s Environmental Monitoring Network—MESONET. M.S. Thesis, University of Oklahoma.

Yanez-Uribe, C., 2008: Spatially-Distributed Evapotranspiration Estimation Using Satellite and Ground-Based Data. M.S. Thesis, Department of Geography, University of Oklahoma, Norman.

Yorsaner, M. E., 2005: Assessing the Potential Impact of GIFTS Data to Severe Convective Precipitation Prediction. M. S. Thesis, Department of Meteorology, Florida State University, Tallahassee.

Yu, S., 2017: Advanced Turf-Type Bermudagrass and Zoysiagrass Experimental Genotypes Show Marked Variation in Responses to Drought Stress Under Field Conditions. M.S. Thesis, Oklahoma State University.

Yue, E., 2011: Assessing eastern red cedar encroachment and environmental factors in Oklahoma by remote sensing and GIS. M.S. Thesis, Oklahoma State University.

Yuen, D., 1994: Estimating Regional Reference Evapotranspiration from Meso-Resolution Zero-Dimensional Meteorologica. M. S. Thesis, Department of Geography, Oklahoma State University, Stillwater.

Zaman, A., 2015: Drought and economic resilience of Oklahoma counties. M.S. Thesis, Oklahoma State University.

Zickar, A.S., 2019: Enhancement of the United States extreme wind database and implications for extreme wind climatology. 163 pp. M.S. Thesis, University of Illinois at Urbana-Champaign.

Zubillaga, J. I., 2016: Importance of Weather Monitoring Information for Decision Making in Agricultural Production. M.S. Thesis, Department of Geography, University of Oklahoma, Norman..

Zuiderweg, A. T., 2006: Microwave Radiative Transfer Modeling of Ice in the Atmosphere: A Critical Examination of Cloud Ice U. M. S. Thesis, Department of Meteorology, Florida State University, Tallahassee.

Abaci, O., 2009: Upland erosion in a semi-humid, agricultural watershed: Monitoring and modeling. Ph. D. Dissertation, University of Iowa.

Acharya, B. S., 2016: Hydrogeophysical evaluation of vegetation influence on ecohydrological processes. Ph. D. Dissertation, Oklahoma State University.

Ackerman, C. J., 1999: Performance of light- vs. heavyweight steers grazing plains Old World bluestem at three stocking rates. Ph. D. Dissertation, Oklahoma State University.

Agnew, R.J., 2019: Multiphase Gas Mechanisms in Groundwater. Ph D. Dissertation, Oklahoma State University.

Ahlberg, C. M., 2018: Characterization of Water Intake in Beef Cattle: Test Length Guidelines, Water Intake Prediction, and Genetic Parameters. Ph. D. Dissertation, Kansas State University.

Albanese, E., 2011: A multi-scale examination of stopover habitat use by migrant shorebirds. Ph.D. Dissertation, Oklahoma State University.

Alemohammad, S. H., 2014: Characterization of Uncertainty in Remotely-Sensed Precipitation Estimates. Ph.D. Dissertation, Massachusetts Institute of Technology.

Ali, M. S., 2013: Evaluating the Response of Teff [Eragrostis Tef (Zucc.) Trotter] and Hard Red Winter Wheat (Triticum Aestivum L.) to Yield Limiting Factors in Oklahoma. Ph.D. Dissertation, Oklahoma State University.

Allred, B. W., 2012: Fire-grazing interaction: An ecological process. Ph. D. Dissertation, Oklahoma State University.

Arnall, B, 2008: I. Development of a yield prediction model for mid-season nitrogen recommendations of cotton (Gossyp. Ph.D. Dissertation, Department of Plant and Soil Sciences, Oklahoma State University, Stillwater.

Avard, M. M., 1998: Quantification of chlorophyll in small reservoirs using airborne video imagery. Ph. D. Dissertation, University of Oklahoma.

Baath, G.S., 2019: Evaluating Capabilities of Novel Warmseason Crops to Fill Forage Deficit Periods in the Southern Great Plains. Ph D. Dissertation, Oklahoma State University.

Barnes, E. M., 1996: Estimation of Evapotranspiration using Advanced Very High Resolution Radiometer (AVHRR) Data. Ph.D. Dissertation, Biosystems Engineering, Oklahoma State University, Stillwater.

Barreiro, A. S., 2014: Increasing yield of late-planted soybean through management practices in the Southern Great Plains. Ph. D. Dissertation, Oklahoma State University.

Basara, J. B., 2001: The value of point-scale measurements of soil moisture in planetary boundary layer simulations. Ph.D. Dissertation, School of Meteorology, University of Oklahoma, Norman, 230 pp.

Basnet, A., 2014: Three essays: Switchgrass yield prediction; biomass harvesting cooperative; and Oklahoma grain infrastructure replacement. Ph. D. Dissertation, Oklahoma State University.

Behnke, R. J., 2017: Spatiotemporal Variability of Humidity Across the Contiguous United States and Southern Canada Using Regional Networks. Ph. D. Dissertation, University of Montana.

Bell, J. E., 2009: Climate change influence on ecohydrological processes. Ph. D. Dissertation, University of Oklahoma.

Bell, T.M., 2021: Examining Novel Profiling Systems and Their Synergy for Advancing Boundary-Layer Research. 135 pp. Ph.D. Dissertation, School of Meteorology, University of Oklahoma..

Bhavsar, H. A., 2012: Chloride control and irrigation management: A GIS integrated approach to economic feasibility for cotton. Ph. D. Dissertation, Oklahoma State University.

Blumberg, W. G., 2018: Observations and Simulations of Moisture Changes Occurring Around Sunset at the ARM Climate Research Facility. Ph. D. Dissertation, University of Oklahoma.

Bosma, T. L., 2000: Priming and post-production of Tagetes and Campanula species. Ph. D. Dissertation, Oklahoma State University.

Braun, J. J., 2004: Remote sensing of atmospheric water vapor with the global positioning system. Ph. D. Dissertation, University of Colorado at Boulder.

Brewster, K. A., 1999: Phase-correcting data assimilation and application to storm-scale weather prediction. Ph.D. Dissertation, School of Meteorology, University of Oklahoma, Norman, 175 pp.

Brockway Jr., D. A., 2008: The impact of a general aviation airport on surrounding land use patterns: Richard Lloyd Jones Jr. Airport. Ph. D. Dissertation, Oklahoma State University.

Brotzge, J. A., 2000: Closure of the surface energy budget. Ph.D. Dissertation, School of Meteorology, University of Oklahoma, Norman, 208 pp.

Brumley, J. D., 2014: Application of Ecosystem Energetic Indicators for the Valuation of Ecosystem Services and Health. Ph.D. Dissertation, University of Oklahoma.

Bruning, E., 2008: Charging regions, regions of charge, and storm structure in a partially inverted polarity supercell. Ph.D. Dissertation, School of Meteorology, University of Oklahoma, Norman, 208 pp.

Bruno, K.A., 2019: Effects of Extended Water Restriction on Performance, Behavior, Health, and Welfare of Feedlot Steers. 202 pp. Ph. D. Dissertation, Oklahoma State University.

Bukovcic, P, 2017: Polarimetric Measurements of Ice Pellets and Aggregated Snow. 136 pp. Ph.D. Dissertation, University of Oklahoma.

Bunderson, L. D., 2013: Aerobiology and pollination ecology of Juniperus ashei. Ph. D. Dissertation, University of Tulsa.

Burghardt, B. J., 2017: Performance Characteristics of Convection-Allowing Ensemble Forecasts with Varied Physics Parameterizations. Ph. D. Dissertation, Texas Tech University.

Bushong, J. T., 2014: I. Utilizing soil moisture data with optical sensors to determine nitrogen fertilizer recommendations in winter wheat II. Alternative nitrogen fertilization strategies for maize in a water limited environment. Ph. D. Dissertation, Oklahoma State University.

Busse, J. L., 2010: Observations and one-dimensional modeling of the atmospheric boundary layer during the afternoon-evening transition time period. Ph. D. Dissertation, University of Alabama in Huntsville.

Cao, Q., 2009: Observational study of rain microphysics and rain retrieval using polarimetric radar data. Ph. D. Dissertation, University of Oklahoma.

Carreira, R. I. R., 2004: Economic study of alternative best management practices for swine effluent application to corn in semiarid climate. Ph. D. Dissertation, Oklahoma State University.

Carroll, J. M., 2015: Connecting environmental and management factors with northern bobwhite (Colinus virginianus) movement and habitat use. Ph. D. Dissertation, Oklahoma State University.

Carter, D. L., 2013: Grassland restoration in a changing world: Consequences of restoration approaches and variable environments. Ph. D. Dissertation, Kansas State University.

Chaney, N. W., 2015: Land Surface Models in Hydrologic Monitoring Systems: Addressing the Sources of Uncertainty. Ph. D. Dissertation, Princeton University.

Chen, J., 2001: Influence of climate variability on terrestrial hydrology in North America. Ph. D. Dissertation, University of Illinois at Urbana-Champaign.

Cheng, A., 2001: A theory of the mesoscale organization of moist convection and the associated vertical momentum transport. Ph. D. Dissertation, Colorado State University.

Cheng, J., 2013: Assimilation of attenuated data from X-band network radars using ensemble Kalman filter. Ph. D. Dissertation, University of Oklahoma.

Cheng, W. Y. Y., 2002: Sensitivity of the soil moisture initialization in the genesis of two simulated mesoscale convective systems. Ph. D. Dissertation, Colorado State University.

Cheng, Y., 2020: Multiscale Turbulence in the Atmospheric Boundary Layer. Ph D. Dissertation, Columbia University.

Chintalapati, S., 2006: Estimating soil moisture and energy fluxes using assimilation of remotely sensed land surface state variables. Ph. D. Dissertation, University of Illinois at Urbana-Champaign.

Chung, B., 2007: Evaluation of spatial resolutions for predicting corn grain yield. Ph.D. Dissertation, Department of Plant and Soil Sciences, Oklahoma State University, Stillwater.

Cobb, A. B., 2016: From soil ecology to human nutrtition: Crop symbiosis with arbuscular mycorrhizal fungi in agroecosystems. Ph. D. Dissertation, Oklahoma State University.

Collow, T. W., 2014: Sensitivity of convective precipitation forecasts to soil moisture and vegetation. Ph. D. Dissertation, Rutgers University.

Crawford, P. H. C., 2009: Exploring ecological and biogeographic questions using biological databases derived from natural history collections and surveys. Ph. D. Dissertation, University of Oklahoma.

Crawford, T. M., 1998: Development of a Diagonostic Surface Energy Budget Model using Oklahoma Mesonet and ARM Data. Ph. D. Dissertation, University of Oklahoma.

Cummings, D. C., 2007: Vegetation dynamics and livestock production on rangelands in the southern Great Plains. Ph. D. Dissertation, Oklahoma State University.

Curtis, C. D., 2009: Exploring the capabilities of the agile beam phased array weather radar. Ph. D. Dissertation, University of Oklahoma.

Datta, S., 2020: Measurement and Modeling of Soil Moisture for Irrigation Management. Ph D. Dissertation, Oklahoma State University.

Dawson II, D. T., 2009: The impact of single- and multi-moment microphysics on numerical simulations of supercells and tornadoes of the 3 May 1999 Oklahoma Tornado outbreak. Ph. D. Dissertation, University of Oklahoma.

Dawson, L.C., 2017: On the Predictability of Multiday Episodes of Severe Convective Storms During the Mesoscale Predictability Experiment. 206 pp. Ph. D. Dissertation, Purdue University.

de Abreu Rosas, C., 2003: Some aspects of bison ecology and behavior in a tallgrass prairie. Ph. D. Dissertation, Oklahoma State University.

Debnath, D., 2012: Three essays: Reservoir management; switchgrass land leasing; and its environmental impact. Ph. D. Dissertation, Oklahoma State University.

DeSantis, R. D., 2010: Effects of fire and climate on compositional and structural changes in upland oak forests of Oklahoma. Ph. D. Dissertation, Oklahoma State University.

Dipesh, K.C., 2013: Growth Performance of Forest Plantations on the Western Margin of Their Commercial Range. Ph.D. Dissertation, Oklahoma State University.

Dolan, B., 2009: Analysis and application of the CASA IP1 X-band polarimetric radar network. Ph. D. Dissertation, Colorado State University.

Donelson, S.L., 2011: Carabid (Coleoptera: carabidae) ecology in agroecosystems of the southern great plains. Ph.D. Dissertation, Oklahoma State University.

Dong, J., 2010: Applications of ensemble Kalman filter data assimilation: From convective thunderstorms to hurricanes. Ph. D. Dissertation, University of Oklahoma.

Dong, J., 2020: Spatial and Temporal Patterns of Soil Moisture: A Study on Soil Moisture Observation and Modeling. Ph. D. Dissertation, Oklahoma State University.

Doughty, R.B.B., 2019: The Impacts Climate Variability and Anthropogenic Activity on Terrestrial Ecosystem Carbon Cycling. Ph.D. Dissertation, University of Oklahoma.

Doyle, G. L., 2002: The soil organic matter continuum in the Great Plains: Native and managed ecosystem dynamics. Ph. D. Dissertation, Kansas State University.

Driever, G. F., 1998: Development of a threshold model for scheduling fungicide applications to control pecan scab. Ph.D. Dissertation, Oklahoma State University, Stillwater.

Duan, S., 2018: Economically Optimal Timing of Insect Control in Food Processing Facilities: A Real Option Approach. Ph D. Dissertation, Oklahoma State University.

Dvorett, D., 2016: Mapping, hydrologic modeling and connectivity of depressional wetlands in central Oklahoma. Ph. D. Dissertation, Oklahoma State University.

Elmore, K. L., 2000: Ensemble cloud model applications to forecasting thunderstorms. Ph. D. Dissertation, University of Oklahoma.

Enlow, H.K., 2017: Quantifying Sediment Loads from Streambank Erosion and Potential Load Reductions from Streambank Stabilization Using Process-based Modeling. Ph.D. Dissertation, Oklahoma State University.

Ermilova, E. A., 2003: Comparative analysis of wind energy production in Oklahoma. Ph. D. Dissertation, Oklahoma State University.

Fang, B., 2015: Disaggregation Of Passive Microwave Soil Moisture For Use In Watershed Hydrology Applications. Ph. D. Dissertation, University of South Carolina.

Feng, Z., 2011: Life cycle and radiative impact of mid-latitude deep convective systems. Ph. D. Dissertation, University of North Dakota.

Fiebrich, C. A., 2007: Transitioning the historical climate archives to data from newly automated sites-- maintaining conti. Ph.D. Dissertation, School of Meteorology, University of Oklahoma, Norman.

Fisher, D. K., 1995: Evapotranspiration Measurements and Resistance Parameter Estimation under Range/Pasture Conditions i. Ph.D. Dissertation, Biosystems Engineering, Oklahoma State University, Stillwater.

Ford, T. W., 2015: Soil moisture impacts on convective precipitation in Oklahoma. Ph. D. Dissertation, Texas A&M University.

Foster, M. J., 2008: Effect of cloud macroscale properties on climate forecasting in the tropics. Ph. D. Dissertation, Rutgers University.

French, A. N., 2001: Scaling of surface energy fluxes using remotely sensed data. Ph. D. Dissertation, University of Maryland.

Fuentes, M., 1998: Prediction of random fields and modeling of spatial-temporal satellite data. Ph. D. Dissertation, University of Chicago.

Gagne, D. J., 2016: Coupling Data Science Techniques and Numerical Weather Prediction Models for High-Impact Weather Prediction. Ph.D. Dissertation, School of Meteorology, University of Oklahoma.

Gallegos, I. J., 2011: Specification of data properties to identify anomalies in scientific sensor data. Ph. D. Dissertation, University of Texas at El Paso.

Galvez, J. M., 2011: Integrated role of the urban canopy on turbulent transfer with the roughness sub-layer from observations. Ph. D. Dissertation, University of Oklahoma.

Gao, H., 2005: Passive microwave remote sensing of surface soil moisture : methods, results, and applications. Ph.D. Dissertation, Princeton University, Princeton.

Ghaith, A. F., 2017: Economics of Household Solar Panel and Wind Turbine Systems. Ph. D. Dissertation, Oklahoma State University.

Ghalebani, A., 2016: Renewable Energy Investment Planning and Policy Design. Ph. D. Dissertation, University of South Florida.

Gharibdousti, S. R., 2018: Evaluating the Least Cost Selection of Agricultural Management Practices in the Five-Mile Creek Area of Fort Cobb Watershed. Ph.D. Dissertation, Oklahoma State University.

Ghimire, M., 2015: Essays on residential water demand and consumer preferences for turfgrass attributes. Ph. D. Dissertation, Oklahoma State University.

Giangrande, S. E., 2007: Investigation of polarmetric measurements of rainfall at close and distant ranges. Ph. D. Dissertation, University of Oklahoma.

Giddens, J.D., 2021: The effects of precipitation, tree size, and stand density on water use and drought tolerance of eastern redcedar in Oklahoma, USA. Ph. D. Dissertation, University of Oklahoma.

Godfrey, C. M., 2006: The influence of land surface and soil data on mesoscale model predictions. Ph.D. Dissertation, School of Meteorology, University of Oklahoma, Norman, 128 pp.

Gong, H., 2012: Public school bond elections: An assessment. Ph.D. Dissertation, University of Oklahoma.

Gopinath, L., 2020: Characterizing the Cold Hardiness and Drought Response of Newly Developed Bermudagrass Genotypes. Ph D. Dissertation, Oklahoma State University.

Gourley, J. J., 2003: Characterizing components of uncertainty in hydrologic modeling using an ensemble approach. Ph. D. Dissertation, University of Oklahoma.

Gouzaye, A., 2015: Switchgrass as a dedicated energy crop: Fertilizer requirements, land use, yield variability, and costs. Ph. D. Dissertation, Oklahoma State University.

Grantham, R. A., 2001: Assessing activity of the pecan nut casebearer, Acrobasis nuxvorella, (Lepidoptera: Pyralidae) in Ok. Ph.D. Dissertation, Oklahoma State University, Stillwater.

Graves, G. M., 2023: Freshwater Stream Monitoring Process Improvements for Fecal Indicator Impairment Designation. Ph.D. Dissertation, The University of Oklahoma.

Greer, M. J., 2013: Grassland invasion by non-native grass species: Ecological issues of multiple species at multiple trophic levels. Ph. D. Dissertation, Oklahoma State University.

Griffith, A.P., 2012: Production economics of potential perennial and annual biomass feedstocks. Ph.D. Dissertation, Oklahoma State University.

Gropp, R. E., 1997: Plant competition theory: Empirical tests from the tallgrass prairie. Ph. D. Dissertation, University of Oklahoma.

Guijarro, L. N., 2005: Land surface dynamics monitoring using microwave passive satellite sensors. Ph. D. Dissertation, University of South Carolina, Columbia.

Gunter, J.T., 2011: Evaluating statistical appropriateness of alternative regression techniques for estimating ambient nitrogen dioxide concentrations. Ph.D. Dissertation, The University of Oklahoma Health Sciences Center.

Haankuku, C., 2015: Production economics of potential biofuel feedstocks: Forage sorghum, switchgrass and industrial beets. Ph. D. Dissertation, Oklahoma State University.

Haghi, K, 2017: Theory and observations of bores in the nocturnal environment of the Great Plains. 240 pp. Ph.D. Dissertation, University of Oklahoma.

Hain, C. R., 2010: Developing a dual assimilation approach for thermal infrared and passive microwave soil moisture retrievals. Ph. D. Dissertation, University of Alabama in Huntsville.

Hale, R. C., 2004: Alterations in land surface -atmosphere processes resulting from the 1988 Greater Yellowstone Area fires. Ph. D. Dissertation, University of Oklahoma.

Hall, C. C., 2017: Photosynthesis and Hyperoxia. Ph. D. Dissertation, Michigan State University.

Han, C., 2019: On The Predictive Modeling of Attributed Graphs. Ph.D. Dissertation, Temple University.

Hassanikhah, A., 2016: Impact of Moisture Changes in Unsaturated Soil Engineering Applications. Ph. D. Dissertation, University of Oklahoma.

Haugland, M., 2006: The Uncoupled Surface Layer at the Crosstimber Micronet. Ph.D. Dissertation, School of Meteorology, University of Oklahoma, Norman.

Haviland, C., 2016: Rumen Temperatuare as a Biomarker for Heat Stress. Ph. D. Dissertation, Oklahoma State University.

Hemingway, B.L., : Geostatistical Analysis of Temperature Structure in the Atmospheric Boundary Layer. Ph D. Dissertation, Oklahoma State University.

Hering, A. S., 2009: Space-time forecasting and evaluation of wind speed with statistical tests for comparing accuracy of spatial predictions. Ph. D. Dissertation, Texas A&M University.

Hilliker, J. L., 2002: An objective, statistical system for short-term probabilistic forecasts of thunderstorms. Ph. D. Dissertation, Pennsylvania State University.

Hong, Z., 2021: Spatial-Temporal Analysis of Subsurface Water Content and Applications in Oklahoma: Wastewater Injection Induced Earthquakes and a Multi Sensor Soil Moisture Product. Ph. D. Dissertation, University of Oklahoma.

Hossain, F., 2004: Investigating error propagation in flood prediction based on remotely-sensed rainfall. Ph. D. Dissertation, University of Connecticut.

Houser, J. B., 2013: Observations of supercell tornado evolution using a mobile, rapid-scan, x-band radar. Ph. D. Dissertation, University of Oklahoma.

Hovick, T. J., 2014: Restored heterogeneity as a conservation strategy for grassland birds. Ph. D. Dissertation, Oklahoma State University.

Hu, M., 2005: 3DVAR and cloud analysis with WSR -88D Level-II data for the prediction of tornadic thunderstorms. Ph. D. Dissertation, University of Oklahoma.

Hussein, A.H., 2019: Resilience of Sheep to Limited Water Availability. 263 pp. Ph. D. Dissertation, Oklahoma State University.

Hwang, S., 2007: Days available for harvesting switchgrass and the cost to deliver switchgrass to a biorefinery. Ph. D. Dissertation, Oklahoma State University.

Illston, B. G., 2016: Near Surface Atmospheric Impacts Resulting From a Developing Metropolitan Area. Ph.D. Dissertation, School of Meteorology, University of Oklahoma.

Insanic, E., 2010: Vector velocity estimation in doppler radar networks. Ph. D. Dissertation, University of Massachusetts Amherst.

Isham, J. D., 1999: Large-scale temporal and spatial imaging of soil brightness temperature with an L-band synthetic ape. Ph.D. Dissertation, University of Massachusetts, Amherst.

Islam, M. Z., 2013: Modeling the Hydrology and Water Resources Management of South Saskatchewan River Basin under the Potential Combined Impacts of Climate Change and Climate Anomalies. Ph.D. Dissertation, University of Alberta.

Jabrzemski, R., 2014: Application of the Forward Sensitivity Method to Data Assimilation of the Lagrangian Tracer Dynamics. Ph.D. Dissertation, University of Oklahoma.

Javid, A. H., 2023: Variation of Soil Suction and Application of Remote Sensing in Evaluating Unsaturated Soil Behavior Within Vadose Zone. Ph. D. Dissertation, Oklahoma State University.

Jessie, C. N., 2017: Diversity, Relative Abundance, Movement, and Fitness of Insect Predators in Winter Canola Agricultural Landscapes in the United States Southern Plains. Ph. D. Dissertation, Oklahoma State University.

Jiang, L., 2000: Estimation of land surface evaporation map over large areas using remote sensing data. Ph. D. Dissertation, University of Cincinnati.

Jones, A. C., 2012: Annual pattern and response of the bacterial and microbial eukaryotic communities in an aquatic ecosystem restructured by disturbance. Ph. D. Dissertation, University of Southern California.

Jones, D. B., 2005: Winter ecology of the parasitoid Lysiphlebus testaceipes Cresson. Ph. D. Dissertation, Oklahoma State University.

Joseph, J. F., 2011: Preliminaries to watershed instrumentation system design. Ph. D. Dissertation, University of Texas at San Antonio.

Jung, C.G., 2019: Trends and Variability of Carbon Cycle in Response to Long-Term Experimental Warming in A Tallgrass Prairie. Ph D. Dissertation, Northern Arizona University.

Kalinga, O. A., 2006: Retrieval and analysis of remotely sensed rainfall for basin hydrologic modeling. Ph. D. Dissertation, University of Alberta.

Kaplan, J.D., 2019: Native Legumes Versus Lespedeza cuneata: Implications for Ecosystem Services. 122 pp. Ph. D. Dissertation, Oklahoma State University.

Kazmi, Z. A., 1998: Development and Testing of a Daily Water-Balance Model for Estimating Evapotranspiration and Soil Wa. Ph.D. Dissertation, Biosystems Engineering, Oklahoma State University, Stillwater.

Khanchi, A., 2012: Drying and storage of switchgrass. Ph.D. Dissertation, Oklahoma State University.

Khand, K.B., 2019: Assessment and Development of Remotely Sensed Evapotranspiration Modeling Approaches. 135 pp. Ph.D. Dissertation, Oklahoma State University.

Kim, G., 1999: Characterization of the spatial-temporal variability of soil moisture by remote sensing. Ph. D. Dissertation, Texas A&M University.

Kim, J., 2009: Development of a satellite -based evapotranspiration algorithm for semi-arid regions. Ph. D. Dissertation, University of California, Los Angeles.

Kim, S. H., 2010: Convective initiation upstream of squall lines over small-scale terrain features. Ph. D. Dissertation, University of California, Los Angeles.

Kindl da Cunha, L., 2012: Exploring the benefits of satellite remote sensing for flood prediction across scales. Ph.D. Dissertation, University of Iowa.

Knievel, J. C., 2001: Kinematics and thermodynamics of a midlatitude, continental mesoscale convective system and its mesoscale vortex. Ph. D. Dissertation, Colorado State University.

Kuhlman, K. M., 2010: Evolution of charge and lightning throughout an observed and simulated supercell storm. Ph. D. Dissertation, University of Oklahoma.

Kumar, P., 2003: Anatomical characteristics of roots of loblolly pine seedlings. Ph. D. Dissertation, Oklahoma State University.

Lane, D. E., 2000: Stochastic theory and cloud-radiation interactions. Ph. D. Dissertation, University of California, San Diego.

Lee, H., 2011: Forecasting wheat yield and quality conditional on weather information and estimating construction costs of agricultural facilities. Ph.D. Dissertation, Oklahoma State University.

Lewis, C. S., 2016: Evapotranspiration estimation: A study of methods in the western United States. Ph. D. Dissertation, Utah State University.

Li, W., 2012: The influences of geographic factors on the complementary nature of wind power and insolation. Ph. D. Dissertation, Oklahoma State University.

Li, X., 2011: Weather and Topographical Influences on Spatial and Temporal Variability of Winter Wheat Yield in Oklahoma. Ph.D. Dissertation, Oklahoma State University.

Li, X., 2016: Microbial communities in soil ecosystems under different land uses. Ph. D. Dissertation, Oklahoma State University.

Li, Z., 2011: Applications of Gaussian mixture model to weather observations. Ph. D. Dissertation, University of Oklahoma.

Liu, H., 2007: Retrieval of moisture from GPS slant path water vapor observations using 3DVAR and its impact on the. Ph.D. Dissertation, School of Meteorology, University of Oklahoma, Norman, 188 pp.

Liu, X., 2005: Development and experimental validation of simulation of hydronic snow melting systems for bridges. Ph.D. Dissertation, Mechanical and Aerospace Engineering, Oklahoma State University, Stillwater.

Lockard, C. L., 2018: Effects of Metabolic Modifiers and Environment on Cattle Health and Performance. Ph.D. Dissertation, Oklahoma State University.

Lollato, R. P., 2015: Limits to winter wheat (Triticum aestivum L.) productivity and resource-use efficiency in the southern Great Plains. Ph. D. Dissertation, Oklahoma State University.

Londe, D.W., 2020: Spatial and Temporal Variability in Environmental Conditions and Its Influence on the Habitat Selection and Reproduction of the Greater Prairie-Chicken. Ph D. Dissertation, Oklahoma State University.

Long, J. M., 2000: Population dynamics and interactions of three black bass species in an Oklahoma reservoir as influenced by environmental variability and a differential harvest regulation. Ph. D. Dissertation, Oklahoma State University.

Looper, J. P., 2013: Assessing impacts of precipitation and parameter uncertainty on distributed hydrologic modeling. Ph. D. Dissertation, University of Oklahoma.

Luo, L., 2003: Evaluation of land surface models using ground-based point -scale measurements. Ph. D. Dissertation, Rutgers University.

Mackaro, S., 2008: The importance of physically consistent temperature representation in land surface satellite assimilation. Ph. D. Dissertation, University of Alabama in Huntsville.

Macnack, N. E., 2014: Mid-season prediction and improvement of grain protein and nitrogen use efficiency in winter wheat (Triticum aestivum L.) and malting barley (Hordeum vulgare L.). Ph. D. Dissertation, Oklahoma State University.

Maggard, A. O., 2016: Response of mid-rotation loblolly pine (Pinus taeda l.) to fertilization and reduced water availability in southeastern Oklahoma. Ph. D. Dissertation, Oklahoma State University.

Maggioni, V., 2012: The Effect of Rainfall Error Characterization on the Efficiency of a Land Data Assimilation System for Soil Moisture Prediction. Ph.D. Dissertation, University of Connecticut.

Mahale, V., 2019: Analysis of the Dynamics and Microphysics of a Wet Downburst Case Using Dual-Polarization Radar Data. Ph.D. Dissertation, University of Oklahoma.

Markowski, P. M., 2000: Surface thermodynamic characteristics of hook echoes and rear -flank downdrafts, with implications for tornado genesis and maintenance. Ph. D. Dissertation, University of Oklahoma.

Maruthavanan, J., 2006: Capsaicinoid: Studies on chemical deflowering for enhancing harvestable capsaicinoid production and mechanisms for capsaicinoid-specific metabolism in pepper fruit. Ph. D. Dissertation, Oklahoma State University.

Masasi, B., 2019: Evaluating the Impacts of Variable Irrigation Management Strategies on the Performance of Cotton and Grain Sorghum Using Monitoring and Modeling Techniques. 122 pp. Ph. D. Dissertation, Oklahoma State University.

Massey, J.R., 2020: Nutrient Cycling in Switchgrass and Soil Health as Affected by Cover Crops. Ph D. Dissertation, Oklahoma State University.

Mays, A. R., 2013: Influence of horn flies and breed type on milk production, calf production traits, pasture behavior, and temperament measurements in beef cattle. Ph. D. Dissertation, University of Arkansas.

McGlinn, D. J., 2009: Spatial and temporal scaling of species composition at the Tallgrass Prairie Preserve, Oklahoma: Implications for theory and conservation. Ph. D. Dissertation, Oklahoma State University.

McMahon, A., 2021: Earth observation and mosquito-borne diseases: assessing environmental risk factors for disease transmission via remote sensing data. Ph. D. Dissertation, University of Oklahoma.

McMillian, N., 2022: Grassland Heterogeneity and Pyric Herbivory: Implications for Ungulate Movement, Biodiversity Conservation, and Rangeland Productivity in the Anthropocene. Ph. D. Dissertation, Oklahoma State University.

McPherson, R. A., 2003: The Impact of Oklahoma's Winter Wheat Belt on the Mesoscale Environment. Ph.D. Dissertation, School of Meteorology, University of Oklahoma, Norman, 197 pp.

Meng, L., 2009: Examining the relationship between antecedent soil moisture and summer precipitation in the U.S. Great Plains. Ph. D. Dissertation, Texas A&M University.

Micozzi, M. R., 2001: The effect of spatial heterogeneity and environmental gradients on vegetation in a semi -arid environment: Black Mesa, Cimarron County, Oklahoma. Ph. D. Dissertation, University of Oklahoma.

Miller, A.D., 2019: Physicochemical Influences on the Spawning and Rearing Habitat of Riverine Neosho Smallmouth Bass. 202 pp. Ph. D. Dissertation, Oklahoma State University.

Miller, E. C., 2014: I. Nitrogen and water use efficiency as influenced by maize hybrid and irrigation; II. Predicting pre-plant nitrogen applications to maize using indicator crop N-rich reference strips. Ph. D. Dissertation, Oklahoma State University.

Mittelstat, A. R., 2015: Quantifying phosphorus loads and streambank erosion in the Ozark Highland ecoregion using the SWAT model. Ph. D. Dissertation, Oklahoma State University.

Mohr, K. I., 2000: An investigation of land /atmosphere interactions: Soil moisture, heat fluxes, and atmospheric convection. Ph. D. Dissertation, University of Texas at Austin.

Moore, K.G., 2017: Storage and electronic mold odor detection of winter canola seed with safety implications for quality loss. 211 pp. Ph.D. Dissertation, Oklahoma State University.

Mora-Garcia, C., 2023: Methane Dynamics in Agricultural Cropping Systems and near Source Wastewater Treatment Lagoon and Process Evaluation of Incubation Method for Methane Oxidation. Ph. D. Dissertation, Oklahoma State University.

Mullock, J. L., 2014: I. Effect of preplant nitrogen distance from corn rows on grain yield and nitrogen uptake, II. Development of a winter wheat sensor-based nitrogen rate algorithm for Kansas and Oklahoma. Ph. D. Dissertation, Oklahoma State University.

Munoz, R. C., 2002: Development and testing of physical sub-grid parameterizations for the study of shallow convection interactions over land. Ph. D. Dissertation, Pennsylvania State University.

Na-Yemeh, D.Y., 2022: Importance Of Environmental Weather Monitoring for Emergency Management in Oklahoma. 183 pp. Ph. D. Dissertation, University of Oklahoma.

Nambi, E., 2021: Effect of Preplant Nitrogen and Phosphorus Application Method and Source on Sorghum (Sorghum bicolor L.) Grain Yields. Ph. D. Dissertation, Oklahoma State University.

Nelson, B. R., 2003: Development of high-resolution archival precipitation data sets. Ph. D. Dissertation, University of Iowa.

Nemunaitis, K. L., 2014: Observational and model analyses of the Oklahoma City urban heat island. Ph.D. Dissertation, School of Meteorology, University of Oklahoma.

Omara, P., 2020: Improving Nitrogen Use Efficiency, Soil Properties and Grain Yield of Maize (Zea Mays L.) and Winter Wheat (Triticum Aestivum L.) with Biochar and No-Tillage Practice. Ph D. Dissertation, Oklahoma State University.

Oxenford, L., 2016: Iron Transport and Removal Dynamics in the Oxidative Units of a Passive Treatment System. Ph. D. Dissertation, University of Oklahoma.

Pan, D.-G., 1999: Structure and evolution of a midwestern storm during VORTEX -95 as determined from airborne Doppler data. Ph. D. Dissertation, Saint Louis University.

Park, G. H., 2006: Cross comparisons of land surface process descriptions in land surface models using multiple sources of data. Ph. D. Dissertation, University of California, Irvine.

Patrignani, A., 2015: Soil moisture dynamics in water-limited cropping systems of the southern Great Plains. Ph. D. Dissertation, Oklahoma State University.

Pereira Fo., A. J., 1996: Mesoscale Rainfall Fields: Analysis and Hydrometeorological Modeling. Ph. D. Dissertation, School of Meteorology, University of Oklahoma, Norman.

Peters-Lidard, C. D., 1997: The effect of land surface heterogeneity on land-atmosphere interactions. Ph. D. Dissertation, Princeton University.

Phetcharat, C., 2011: An optimal application of swine effluent in Texas and Oklahoma panhandles determined by bayesian stochastic dynamic programming. Ph.D. Dissertation, Oklahoma State University.

Pinkerman, C. W., 2016: Understanding avian soaring to extend UAV mission endurance through remote detection of thermal updrafts. Ph. D. Dissertation, Oklahoma State University.

Porter, C. W., 2003: Using clear-air adjoint-method wind retrievals from the WSR -88D network to initialize a mesoscale model in a pre-convective environment. Ph. D. Dissertation, Pennsylvania State University.

Prado, B. E., 2006: Economic valuation of the Lower Illinois trout fishery in Oklahoma under current and hypothetical management plans. Ph. D. Dissertation, Oklahoma State University.

Rahman, M. T., 2010: Integration of geospatial techniques in the assessment of vulnerability of trees to ice storms in Norman, Oklahoma. Ph. D. Dissertation, University of Oklahoma.

Reed, S. M., 1998: Use of digital soil maps in a rainfall-runoff model. Ph. D. Dissertation, University of Texas at Austin.

Reed, V.T.S., 2021: Investigating Avenues of Increasing Nutrient Use Efficiency in Soybeans and Winter Wheat in Oklahoma. Ph. D. Dissertation, Oklahoma State University.

Ren, D., 2004: 4DVAR Retrieval of Prognostic Land Surface Model Variables. Ph. D. Dissertation, School of Meteorology, University of Oklahoma, Norman, 228 pp.

Richardson, S. J., 1995: Multiplate radiation shields: investigating radiational heating errors. Ph. D. Dissertation, School of Meteorology, University of Oklahoma, Norman.

Roberts, D. C., 2009: Preferences for environmental quality under uncertainty and the value of precision nitrogen application. Ph. D. Dissertation, Oklahoma State University.

Rohling, K., 2016: A changing climate: a review of the accommodation and communication methods, for discussing complex, scientific topics, in county extension in Kansas and Oklahoma. Ph. D. Dissertation, Kansas State University.

Roman, M. O., 2009: Use of in situ and airborne data to assess satellite-based estimates of directional reflectance and albedo. Ph. D. Dissertation, Boston University.

Rouf, T., 2020: Improving Hyper Resolution Soil Moisture Estimation. 120 pp. Ph. D. Dissertation, George Mason University.

Scasta, J. D., 2014: Implications of pyric-herbivory on central North American grassland ecology, management and production. Ph. D. Dissertation, Oklahoma State University.

Schenkman, A. D., 2012: Exploring tornadogenesis with high-resolution simulations initialized with real data. Ph. D. Dissertation, University of Oklahoma.

Selin, R. D. A., 2012: Gravity wave and microphysical effects on bow echo development. Ph. D. Dissertation, Colorado State University.

Selover, N. J., 2005: Role of the diurnal temperature in determining daily dew point. Ph. D. Dissertation, Arizona State University.

Seo, B. C., 2010: Towards a better representation of radar-rainfall: Filling gaps in understanding uncertainties. Ph. D. Dissertation, University of Iowa.

Serpetzoglou, E., 2018: Development and Application of Assimilation Techniques of Hydrometeorological Remotely-Sensed Data in Meteorological and Land-Surface Models. Ph.D. Dissertation, Aristotle University of Thessaloniki.

Shafer, M. A., 2005: The Role of Scientists and Scientific Information in Public Policy Decisions: The Case of Drought Pl. Ph.D. Dissertation, Department of Political Science, University of Oklahoma, Norman.

Sharma, B., 2012: Scenario optimization approach for designing biomass supply chain. Ph. D. Dissertation, Oklahoma State University.

Sharma, S, 2017: Soil Moisture and Vegetation Dynamics in Southern Great Plains Grasslands. 120 pp. Ph.D. Dissertation, Oklahoma State University.

Shin, Y., 2012: A unifying platform for water resources management using physically-based model and remote sensing data. Ph. D. Dissertation, Texas A&M University.

Siegfried, D. G., 2007: Predicting breeding -bird occurrences in Oklahoma: Relationship of species distributions to land-cover and climatic variation. Ph. D. Dissertation, University of Oklahoma.

Sisk, J. G., 1995: Extension agricultural agents' perceptions of sustainable agriculture in the southern region of the United States. Ph. D. Dissertation, Louisiana State University.

Snook, N. A., 2011: Assimilation of CASA and WSR-88D radar data for tornadic convective storms using an ensemble Kalman filter and applications in probabilistic ensemble forecasting. Ph. D. Dissertation, University of Oklahoma.

Speir, J. S., 1997: A dense network of differential global positioning system reference stations for precision farming. Ph.D. Dissertation, Oklahoma State University, Stillwater.

Sridhar, V. R., 2001: Land surface modeling of energy-balance components: model validation and scaling effects. Ph.D. Dissertation, Oklahoma State University, Stillwater.

Stamenkovic, J., 2008: The role of vegetation and soil in the biogeochemical cycling of mercury. Ph. D. Dissertation, University of Nevada, Reno.

Stratman, D., 2016: Sensitivities of 1-km Forecasts of Tornadic Supercells to Microphysics Parameterizations, Assimilated Radar Data, and Assimilation Techniques. Ph.D. Dissertation, School of Meteorology, University of Oklahoma.

Su, H., 2008: An evaluation of retrieving terrestrial evapotranspiration from remotely sensed data. Ph. D. Dissertation, Princeton University.

Subramaniam, G., 1998: Nitric oxide release and uptake in soils: Field and laboratory measurements. Ph. D. Dissertation, University of Tulsa.

Sudbury, J. B., 2010: Quantitative phytolith analysis: The key to understanding buried soils and to reconstructing paleoenvironments. Ph. D. Dissertation, Oklahoma State University.

Sun, D., 2003: Derivation of surface temperature from current and future satellite: Focus on land. Ph. D. Dissertation, University of Maryland.

Supine, T.A., 2020: Four-Dimensional Ensemble Kalman Filter Assimilation of High Temporal Resolution Phased Array Radar Data with Real Convective Storm Cases. 108 pp. Ph. D. Dissertation, University of Oklahoma.

Sutradhar, A. K., 2013: Effect of Different Winter Legumes As Nitrogen Sources for Switchgrass (Panicum Virgatum L.) Grown for Cellulosic Ethanol, and Effect of Foliar-Applied Phosphite on Growth and Yield of Corn (Zea Mays L.). Ph.D. Dissertation, Oklahoma State University.

Tanamachi, R.L., 2011: Multiple cyclic tornado production modes in the 5 May 2007 Greensburg, Kansas supercell storm. Ph.D. Dissertation, University of Oklahoma.

Tang, L., 2011: Transfer of uncertainty of space-borne high resolution rainfall products at ungauged regions. Ph. D. Dissertation, Tennessee Technological University.

Tanner, E. P., 2015: The climate of Colinus and Callipepla: Current patterns with future implications. Ph. D. Dissertation, Oklahoma State University.

Taylor, A., 2010: Ensemble Kalman filter data assimilation in the presence of large model error. Ph. D. Dissertation, University of Oklahoma.

Taylor, K. W., 2007: Dual -purpose winter wheat and stocker production. Ph. D. Dissertation, Oklahoma State University.

Thompson, S. D., 2005: The effects of mowing on tallgrass prairie communities. Ph. D. Dissertation, Oklahoma State University.

Tian, L., 2017: Analysis of Spatial-Temporal Variations of Drought in Oklahoma. 193 pp. Ph.D. Dissertation, Texas A&M University.

Todd, J., 2011: Study of the diversity, inbreeding potential, and sward heritability of switchgrass. Ph.D. Dissertation, Oklahoma State University.

Tong, M., 2006: Ensemble Kalman filter assimilation of Doppler radar data for the initialization and prediction of convective storms. Ph. D. Dissertation, University of Oklahoma.

Tribble, A. N., 2003: The relationship between weather variables and electricity demand to improve short-term load forecas. Ph. D. Dissertation, School of Meteorology, University of Oklahoma, Norman.

Tubana, B., 2007: Adjusting mid-season nitrogen using a sensor-based optimization algorithm to increase use efficiency. Ph.D. Dissertation, Department of Plant and Soil Sciences, Oklahoma State University, Stillwater.

Tyndall, D. P., 2011: Sensitivity of surface meteorological analyses to observation networks. Ph. D. Dissertation, University of Utah.

Unger, A.M., 2017: Playing Chicken: At the Intersection of Anthropogenic Development and Lesser Prairie-chickens. 116 pp. Ph.D. Dissertation, Oklahoma State University.

van der Kamp, D. W., 2017: Spatial patterns of humidity, fuel moisture, and fire danger across a forested landscape. Ph. D. Dissertation, University of British Columbia.

Van Every, N., 2016: The Effects of Atmospheric Conditions on the Singer. Ph. D. Dissertation, School of Meteorology, University of Oklahoma, Norman, 182 pp..

Vergopolan da Rocha, N., 2021: Towards Locally Relevant Global Soil Moisture Monitoring Leveraging Remote Sensing and Modeling for Water Resources Applications. Ph. D. Dissertation, Princeton University.

Villarini, G., 2008: Empirically-based modeling of radar -rainfall uncertainties. Ph. D. Dissertation, University of Iowa.

Vujicic, T. M., 2018: Softverski alat za ispitivanje algoritama strukturne regresije bazirane na GCRF modelu. Ph.D. Dissertation, University of Belgrade.

Wagle, P., 2013: Net Ecosystem Exchange of Carbon Dioxide and Water Vapor Fluxes in Switchgrass and High Biomass Sorghum. Ph.D. Dissertation, Oklahoma State University.

Walsh, O. S., 2009: Real-time use of soil moisture data for refined greenseeker sensor based nitrogen recommendations in winter wheat (Triticum aestivum L.) and effect of foliar phosphorus fertilization on corn (Zea mays L.) grain yield and phosphorus use efficiency. Ph.D. Dissertation, Department of Plant and Soil Sciences, Oklahoma State University, Stillwater.

Wang, J., 2018: Investigation of Warm Season Convective Cloud and PrecipitationProperties through the Integrative Analysis of Aircraft in-situMeasurements, Ground-Based Observations, and WRF Simulations. Ph.D. Dissertation, University of Arizona, 232 pp.

Webb, S. L., 2009: Movements, relatedness and modeled genetic manipulation of white-tailed deer. Ph. D. Dissertation, Mississippi State University.

Wehde, W., 2019: From the Mundane to the Profound: Developing a Political Model of Weather Information Processing and Climate Change Beliefs. 158 pp. Ph.D. Dissertation, University of Oklahoma.

Wehmeyer, G.B., 2020: Optimum Sulfur Application for Soybean (Glycine max) in Oklahoma. Ph D. Dissertation, Oklahoma State University.

Weiss, C., 2004: Variational pseudo multiple-doppler analyses of a dryline utilizing very-high resolution mobile Dopp. Ph. D. Dissertation, School of Meteorology, University of Oklahoma, Norman, 182 pp.

Wiesner, S., 2013: Observing the impact of soils on local urban climate. Ph.D. Dissertation, Universität Hamburg Hambug.

Williams, D. J., 2007: Ozone in the atmospheric boundary layer: Transport mechanisms and predictive indicators at 36°N. Ph. D. Dissertation, Oklahoma State University.

Wu, C.-C., 2011: Soil state and flux characterization using a stochastic data assimilation approach. Ph. D. Dissertation, University of California, Los Angeles.

Wyatt, B.M., 2019: Measuring and modeling deep drainage, streamflow, and soil moisture in Oklahoma. 173 pp. Ph. D. Dissertation, Oklahoma State University.

Xie, F., 2004: Application of model predictive control to a geothermally heated bridge deck.. Ph.D. Dissertation, Civil Engineering, Oklahoma State University, Stillwater.

Xing, L., 2014: Estimations of undisturbed ground temperatures using numerical and analytical modeling. Ph. D. Dissertation, Oklahoma State University.

Xiong, X., 2005: The relationship among NDVI, nitrogen and irrigation on bermudagrass (Cynodon dactylon [L.] Pers.). Ph. D. Dissertation, Oklahoma State University.

Yimam, Y. T., 2014: Two-way interactions between bioenergy croppng systems and water resources. Ph. D. Dissertation, Oklahoma State University.

Young, C. B., 2000: Evaluation of NEXRAD precipitation estimates and their potential use for nonpoint source pollution modeling. Ph. D. Dissertation, University of Iowa.

Yu, S., 2020: Genetic and Quantitative Trait Loci Mapping in African Bermudagrass and Characterization of Winter Survivability and Drought Response in Turf-Type Bermudagrass. Ph D. Dissertation, Oklahoma State University.

Yuan, S., 2016: Assessment of multiple approaches for using soil moisture to evaluate drought in the U.S. Great Plains. Ph. D. Dissertation, Texas A&M University.

Yue, E., 2017: Soil Matric Suction and Active Zone Depth in Oklahoma. Ph. D. Dissertation, Oklahoma State University.

Zemichaeal,T.H., 2020: Anomaly Detection and Probabilistic Diagnosis for Automated Data Quality Control. Ph. D. Dissertation, Oregon State University.

Zhang, J., 1999: Moisture and diabatic initialization based on radar and satellite observations. Ph. D. Dissertation, University of Oklahoma.

Zhang, N., 2020: Soil Moisture Mapping in South Central United States by Blending In-situ, Modeled and Remote Sensing Data. Ph D. Dissertation, Ohio State University.

Zhang, Y., 2016: Simulating canopy dynamics, productivity and water balance of annual crops from field to regional scales. Ph. D. Dissertation, Colorado State University.

Zhong, Y., 2020: Runoff and Sediment Response to Mechanical Removal of Juniper and Restoration of Rangeland. Ph D. Dissertation, Oklahoma State University.

Zhou, Y, 2017: Quantifying groundwater interaction with streams and thermal regime implications. 111 pp.. Ph.D. Dissertation, Oklahoma State University.