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 calcite. Chemical Geology,
404, 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 Oklahoma. Soil Tillage Research,
117, 28-33. (DOI: 10.1016/j.still.2011.08.004).
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 rates. J. Animal Science,
Adams-Selin, R. D., and R. H. Johnson, 2010: Mesoscale Surface Pressure and Temperature Features Associated with Bow Echoes. Monthly Weather Review,
Adams-Selin, R.D., and R.H. Johnson, 2013: Examination of Gravity Waves Associated with the 13 March 2003 Bow Echo. Monthly Weather Review,
Adams-Selin, R.D., S.C. van den Heever, and R.H. Johnson, 2013: Sensitivity of Bow-Echo Simulation to Microphysical Parameterizations. Weather and Forecasting,
Adhikari, L., M. P. Anderson, A. Klatt, and Y. Wu, 2014: Testing the Efficacy of a Polyester Bagging Method for Selfing Switchgrass. Bioenerg. Res.,
8(1), 380-387. (DOI: 10.1007/s12155-014-9528-3).
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.,
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 Contest. Energy,
78, 247-256. (DOI: 10.1016/j.energy.2014.10.012).
Albanese, G., and C.A. Davis, 2013: Broad-scale relationships between shorebirds and landscapes in the southern Great Plains. The Auk,
Albanese, G., C.A. Davis, and B.W. Compton, 2012: Spatiotemporal scaling of North American continental interior wetlands: implications for shorebird conservation. Landscape Ecol.,
27, 1465-1479. (DOI: 10.1007/s10980-012-9803-7).
Alemohammad, S. H., D. Entekhabi, and D. B. McLaughlin, 2014: Evaluation of Long-Term SSM/I-Based Precipitation Records over Land. J. 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 Collocation. Hydrol. 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 Fertilization. International Journal of Agronomy,
2014, 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 Droughts. AMBIO,
42, 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 cuneata. Biological Invasions,
12 (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 cattle. Ecosphere,
2(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 climate. Global Change Biology,
19, 1875-1883. (DOI: 10.1111/gcb.12183).
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 Estimates. Geoscience and Remote Sensing, IEEE Transactions on,
Anderson, M. C., J. R. Mecikalski, R. D. Torn, J. M. Norman, W. L. Kustas, and J. B. Basara, 2004: Disaggregation of Regional Flux Estimates using Landsat Thermal and Visible Band Imagery. J. Hydrometeorol,
Anderson, M.C., R.G. Allen, A. Morse, and W.P. Kustas, 2012: Use of Landsat thermal imagery in monitoring evapotranspiration and managing water resources. Remote Sensing of Environment,
122, 50-65. (DOI: 10.1016/j.rse.2011.08.025).
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. Soc,
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 groups. J. of Ecology,
99(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 IHOP. Mon. Wea. Rev.,
Atkins, N. T., R. M. Wakimoto, and C. L. Ziegler, 1998: Observations of the finescale structure of a dryline during VORTEX 95. Mon. Wea. Rev.,
Bajgain, R., X. Xiao, J. Basara, P. Wagle, Y. Zhou, Y. Zhang, and H. Mahan, 2016: Assessing agricultural drought in summer over Oklahoma Mesonet sites using the water-related vegetation index from MODIS. International Journal of Biometeorology,
2016, 1-14. (DOI: 10.1007/s00484-016-1218-8).
Bajgain, R., X. Xiao, P. Wagle, J. Basara, and Y. Zhou, 2015: Sensitivity analysis of vegetation indices to drought over two tallgrass prairie sites. Journal of Photogrammetry and Remote Sensing,
108, 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 station. J. Geoscience Education,
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 America. Quaternary Research,
Barnett, T. P., J. Ritchie, J. Foat, and G. Stokes,, 1998: On the space-time scales of the surface solar radiation field. J. Climate,
Barros, A. P., W. Hwu, 2002: A study of land-atmosphere interactions during summertime rainfall using a mesoscale model. J. 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 pasture. Crop, Forage & Turfgrass Management,
1(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 herbage. Grass and Forage Science,
66(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 Auk,
Basara, J. B., and K. C. Crawford, 2002: Linear relationships between root-zone soil moisture and atmospheric processes in the planetary boundary layer. J. Geophys. Res.,
107, (ACL 10) 1-18.
Basara, J. B., and T. M. Crawford, 2000: Improved installation procedures for deep layer soil moisture measurements. J. Atmos. Oceanic Tech.,
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 Micronet. Meteorological Applications,
18, 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 Micronet. The Open Atmospheric Science Journal,
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 City. Advances in Meteorology,
2010, 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 City. J. 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 Oklahoma. Metr. Appl.,
19(1), 91-110. (DOI: 10.1002/met.280).
Bell, T. L., and P. K. Kundu, 2003: Comparing satellite rainfall estimates with rain gauge data: Optimal strategies suggested by a spectral model. J. 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 topography. GSA Bulletin,
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 States. Forest Ecology and Management,
347, 40-48. (DOI: 10.1016/j.foreco.2015.03.015).
Bergey, E. A., W. J. Matthews, J. E. Fry, 2008: Springs in time: fish fauna and habitat changes in springs over a 20-year interval. Aquatic Conservation: Marine and Freshwater Ecosystems,
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 system. Field Crops Research,
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 wheat. Field Crops Research,
Bikos D., J. Weaver, and B. Motta, 2002: A satellite perspective of the 3 May, 1999 Great Plains tornado outbreak within Oklahoma. Precision Agric.,
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 SGP97. IEEE Transactions on Geoscience and Remote Sensing,
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 feedlots. Environmental Science & Technology,
49(14), 8796-8803. (DOI: 10.1021/acs.est.5b01881).
Blanchard, D.O., 2008: Interactions between a Supercell and a Quasi-Stationary Frontal Boundary. Mon. Wea. Rev.,
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 Oklahoma. Forest Ecology and Management,
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 supercell. Mon. Wea. Rev.,
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 radar. Bull. Amer. Meteor. Soc.,
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 weather. Weather and Forecasting,
30, 79-114. (DOI: 10.1175/WAF-D-14-00065.1).
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 Radar. J. 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 2013. Weather and Forecasting,
30, 525-552. (DOI: 10.1175/WAF-D-14-00152.1).
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 Uncertainty. J. of Appl. Metr and Clim,
50(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 Retrievals. Journal of Applied Meteorology and Climatology,
Bodine, D., P.M. Klein, S.C. Arms, and A. Shapiro, 2009: Variability of Surface Air Temperature over Gently Sloped Terrain. J. Appl. Meteor. Climatol.,
Bohmanova, J., I. Misztal, and J. B. Cole, 2007: Temperature-humidity indices as indicators of milk production losses due to heat stress. J. Dairy Sci.,
Boni, G., F. Castelli, and D. Entekhabi, 2001: Sampling strategies and assimilation of ground temperature for the estimation of surface energy balance components. IEEE Transactions on Geoscience and Remote Sensing,
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 Sodar. Boundary-Layer Meteorol,
155, 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 Systems. Geoscientific Instrumentation, Methods and Data Systems,
2.2, 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 System. Boundary 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 Mesonet. Intl. J. of Clim,
32, 843-853 . (DOI: 10.1002/joc.2322).
Bosma, T. L., J. M. Dole, and N. O. Maness, 2003: Optimizing marigold (Tagetes erecta L.) petal and pigment yield. Crop Sci.,
Bosworth, J., T. Koshimizu, and S. T. Acton, 2004: Multi-resolution segmentation of soil moisture imagery by watershed pyramids with region merging. International Journal of Remote Sensing,
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 wheat. J. 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 production. Precision 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 City. Water Econs. Policy,
1(2), 21 pg. (DOI: 10.1142/S2382624X15500058).
Bright, E. G. and E. A. Bergey, 2015: Spatial distribution of resting stages of crustaceans and other aquatic invertebrates in playa wetlands. Journal of Crustacean Biology,
35(4), 515-521. (DOI: 10.1163/1937240X-00002347).
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 Overview. J. Atmos. Oceanic Technol.,
Brotzge, J. A., 2004: A two-year comparison of the surface energy and water budgets between two OASIS sites 900+ km apart. J. Hydrometeorol.,
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 Mesonet. Journal of Operational Meteorology,
3(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 radiometer. J. Atmos. Oceanic Technol.,
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 results. Meteorol. Atmos. Phys.,
Brotzge, J. A., and K. C. Crawford, 2000: Estimating Sensible Heat Flux from the Oklahoma Mesonet. J. Appl. Meteor.,
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 systems. J. Hydrometeor.,
Brotzge, J. A., and S. J. Richardson, 2003: Spatial and temporal correlation among Oklahoma Mesonet and OASIS surface-layer measurements. J. Appl. Meteor.,
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 Operations. Weather and Forecasting,
Bryan, G. H., and M. D. Parker, 2010: Observations of a Squall Line and Its Near Environment Using High-Frequency Rawinsonde Launches during VORTEX2. Monthly Weather Review,
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 Evolution. Mon. Wea. Rev.,
Buhler, R., and A. B. Cerato, 2010: Design of Dynamically Wind-Loaded Helical Piers for Small Wind Turbines. Journal of Performance of Constructed Facilities,
Burch, M., and E. Levetin, 2004: Effects of meteorological conditions on spore plumes. International Journal of Biometeorology,
Burke, E.J., L.A. Bastidas, and W. J. Shuttleworh, 2002: Exploring the potential for multipatch soil-moisture retrievals using multiparameter optimization techniques. IEEE Transactions on Geoscience and Remote Sensing,
Burton, J. A., S. W. Hallgren, and M. W. Palmer, 2010: Fire Frequency Affects Structure and Composition of Xeric Forests of Eastern Oklahoma. Natural Areas Journal,
Bushdong, J.A., A.P. Griffth, T.F. Peeper, and F.M. Epplin, 2012: Continuous Winter Wheat Versus a Winter Canola–Winter Wheat Rotation. Agronomy Journal,
104(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 Efficiency. International Journal of Agronomy,
2014, 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 Plains. International Journal of Agronomy,
2014, Article ID 247835, 10 pg. (DOI: 10.1155/2014/247835).
Butchee, K., D.B. Arnall, A. Sutradhar, C. Godsey, H. Zhang, and C. Penn, 2012: Determining Critical Soil pH for Grain Sorghum Production. Intl. J. of Agronomy,
2012, 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 returns. J. Atmos. Oceanic Technol.,
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 Analysis. Journal of Agricultural and Applied Economics,
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 Initiation. Mon Wea. Rev.,
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 storm. Monthly Weather Review,
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 Approach. Journal of Applied Meteorology and Climatology,
Carbin, G., and J. Guyer, 2011: Tornadoes 2011: An Unprecedented Year. Weatherwise,
65(3), 12-19. (DOI: 10.1080/00431672.2012.670071).
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 algorithms. International Journal of Wildland Fire,
Carlson, J. D., and R. E. Burgan, 2003: Review of user needs in operational fire danger estimation: The Oklahoma example. International Journal of Remote Sensing,
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 Oklahoma. Intl. J. Wildland Fire,
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 Oklahoma. J. Appl. Meteor. Climatol.,
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 birds. PLoS-One,
10(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 bird. Ecosphere,
6(11), 222. (DOI: 10.1890/ES15-00163.1.sm).
Carter, D. L., and B. L. VanderWeide, 2014: Belowground bud production is linked to population establishment in Sorghastrum nutans (Poaceae). Plant Ecology,
215(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' wheat. Crop Sci. ,
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' wheat. Crop Sci,
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' wheat. Crop Sci. ,
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 Oklahoma. Microbial Ecology,
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_2002. Quarterly Journal of the Royal Meteorological Society,
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 Extremes. J. of Clim.,
27(15), 5815-5835. (DOI: 10.1175/JCLI-D-13-00423.1).
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-02. J. Appl. Meteor.,
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 moisture. Adv. In Water Res.,
34(4), 526-536. (DOI: 10.1016/j.advwatres.2011.01.011).
Chen, Y. N. T. Dunford, J. Edwards, B. Carver, C. Goad, 2009: Policosanol content and composition of wheat varieties as affected by environment. Journal of the Science of Food and Agriculture,
Chen, Y. N. T. Dunford, J. Edwards, B. Carver, C. Goad, 2009: Genotype and Environment Affect Phytosterol Content and Composition of Wheat. Cereal Chemistry,
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 Engineering,
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.,
Chilson, P.B., and M.B. Yeary, 2012: Hands-On Learning Modules for Interdisciplinary Environments: An Example With a Focus on Weather Radar Applications. IEEE Trans.,
55(2), 238-247. (DOI: 10.1109/TE.2011.2164796).
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 Facility. Water Environment Research,
86(9), 835-843. (DOI: 10.2175/106143014X14062131177917).
Cohen, D. R., and D. Zilberman, 1997: Actual versus Stated Willingness to Pay: A Comment. Journal of Agricultural and Resource Economics,
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 observations. J. of Geophys. Res,
117, . D09113, 15 PP (DOI: 10.1029/2011JD017095).
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 cows. J. of Animal Sci.,
89(4), 1020-1027. (DOI: 10.2527/jas.2010-3434).
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) project. J. Geophys. Res.,
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 profiles. Journal of Environmental Quality,
43(4), 1328-1333. (DOI: 10.2134/jeq2013.08.0318).
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 Campaign. Mon Wea. Rev.,
Craig, R. L., and E. Levetin, 2000: Multi-year study of Ganoderma aerobiology. Aerobiologia,
Craine J. M., E. G. Towne , A. Joern, and R. G. Hamilton, 2009: Consequences of climate variability for the performance of bison in tallgrass prairie. Global Change Biology,
Crawford, T. M., and C. E. Duchon, 1999: An improved parameterization for estimating effective atmospheric emissivity for use in calculating daytime downwelling longwave radiation. J. Appl. Meteor.,
Crawford, T. M., and H. B. Bluestein, 1997: Characteristics of dryline passage during COPS-91. Mon Wea. Rev.,
Crawford, T. M., and H. B. Bluestein, 2000: An operational, diagnostic surface energy budget model. J. Appl. Meteor.,
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 temperatures. J. Hydrometeorol.,
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 values. J. Hydrometeorol.,
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 SGP97. Advances in Water Resources,
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 observations. J. Hydrometeorol.,
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 retrievals. J. Geophys. Res.,
Crow, W.T., and E. Van Loon, 2006: Impact of Incorrect Model Error Assumptions on the Sequential Assimilation of Remotely Sensed Surface Soil Moisture. J. Hydrometeor.,
Cumba, H. J., and D. W. Hamilton, 2002: Liquid balance model for swine waste management systems using single-stage anaerobic lagoons. Transactions of the ASAE,
Czajkowski, K. P., S. N. Goward, D. Shirey, and A. Walz, 2002: Thermal remote sensing of near-surface water vapor. Remote Sensing of Environment,
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 Mesonet. The Professional Geographer,
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 System. Weather and Forecasting,
31(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 Oklahoma. Peanut Science,
Das, N. N., and B. P. Mohanty, 2006: Root zone soil moisture assessment using remote sensing and Vadose Zone modeling. Vadose Zone J.,
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 forecasting. Solar Energy,
134, 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 analysis. Mon Wea. Rev.,
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 Forecasts. Monthly Weather Review,
143, 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 Thunderstorms. Monthly Weather Review,
De Jeu, R. A. M., and M. Owe, 2004: Further validation of a new methodology for surface moisture and vegetation optical depth retrieval. International Journal of Remote Sensing,
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 Thunderstorm. Monthly Wea. Rev.,
143, 742-756. (DOI: 10.1175/MWR-D-14-00290.1).
Debnath, D., 2015: Can Carbon Credit Reduce Switchgrass Breakeven Price?. American Journal of Biomass and Bioenergy,
4(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 switchgrass. Biomass and Bioenergy,
70, 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 variability. Bioenerg. 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) frontier. Biomass & Bioenergy,
77, 110-122. (DOI: 10.1016/j.biombioe.2015.03.024).
DeLiberty, T. L., and D. R. Legates, 2003: Interannual and seasonal variability of modeled soil moisture in Oklahoma. International Journal of Climatology,
DeLiberty, T. L., D. R. Legates, 2008: Spatial Variability and Persistence of Soil Moisture in Oklahoma. Physical Geography,
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: Observations. Mon 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 products. Intl J. of Remote Sensing,
34:9-10, 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 Model. Boundary-Layer Meteorology,
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, USA. Journal of Vegetation Science,
DeSantis, R.D., and S.W. Hallgren, 2011: Prescribed burning frequency affects post oak and blackjack oak regeneration. Southern J. of Appl. Forestry,
Ding, Y., M. J. Hayes, and M. Widhalm, 2011: Measuring economic impacts of drought: A review and discussion. Disaster Prevention and Management,
20(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 stands. Forest Science,
61(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 purposes. New Forests,
46, 267-281. (DOI: 10.1007/s11056-014-9460-6).
Dong, H., S. Thames, L. Liu, M. W. Smith, L. Yan, and Y. Wu, 2015: QTL mapping for reproductive maturity in lowland switchgrass populations. Bionergy Research,
8(4), 1925-1937. (DOI: 10.1007/s12155-015-9651-9).
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 States. J. 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 filter. Meteor. And Atmos. Phys.,
112 (1-2), 41-61. (DOI: 10.1007/s00703-011-0130-3).
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 measurement. Vadose Zone Journal,
13(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 observations. J. 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 observations. Remote Sensing of Environments,
162, 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 States. Weather and Forecasting,
20(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 mesoscale. Electronic J. Severe Storms Meteor.,
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 set. J. 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 Moisture. Mon Wea. Rev.,
Drusch, M., E. F. Wood, and H. Gao, 2005: Observation operators for the direct assimilation of TRMM microwave imager retrieved soil moisture. Geophysical Research Letters,
32, 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 1997. J. Hydrometeorol.,
Dubois, J. A. and P. L. Spencer, 2005: Computing divergence from a surface network: Comparison of the triangle and pentagon methods. Dubois, 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 shields. Water Resour. Res.,
Duchon, C. E., and K. G. Hamm, 2006: Broadband Albedo Observations in the Southern Great Plains. J. Appl. Meteor. Climatol.,
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 Ensemble. Monthly Weather Review,
142, 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 Drylines. Monthly Weather Review,
144(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 environment. Bioresource Technology,
Dunne, S., and D. Entekhabi, 2005: An ensemble-based reanalysis approach to land data assimilation. Water Resources Research,
41, W02013. (DOI: 10.1029/2004WR003449).
Dvorett, D., J. Bidwell, C. Davis, and C. DuBois, 2013: Assessing Natural and Anthropogenic Variability in Wetland Structure for Two Hydrogeomorphic Riverine Wetland Subclasses. Environmental Management,
Edwards, J. T., B. F. Carver, and M. E. Payton, 2007: Relationship of first hollow stem and heading in wheat. Crop Sci.,
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 outbreak. Wea. Forecasting,
Eguren, R. E., and K. McBee, 2013: New records of three species of bats from Nowata, Rogers, and Ottawa counties, Oklahoma. Proc. Okla. Acad. Sci,
Elliott, R. L., F. V. Brock, M. L. Stone, and S. L. Harp, 1994: Configuration decisions for an automated weather station network. Applied Engineering in Agriculture,
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 restaurants. Journal of Agricultural and Applied Economics,
46(2), 173-191. (DOI: 10.1017/S1074070800000729).
Elmore, K. L., and M. B. Richman, 2001: Euclidean distance as a similarity metric for principal component analysis. Mon Wea. Rev.,
Elston, J., B. Argrow, M. Stachura, D. Weibel, D. Lawrence, and D. Pope, 2015: Overview of Small Fixed-Wing Unmanned Aircraft for Meteorological Sampling. J. 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 observations. Journal of Geographysical Research: Atmospheres,
120(12), 5993-6014. (DOI: 10.1002/2014JD022525).
Engerer, N. A., D. J. Stensrud, and M. C. Coniglio, 2008: Surface Characteristics of Observed Cold Pools. Mon Wea. Rev.,
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 CLASIC. J. 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 Technique. E-Journal of Severe Storms Meteorology,
Feldman, T.S., M.R. Morsy, and M.J. Roossinick, 2012: Are communities of microbial symbionts more diverse than communities of macrobial hosts?. Fungal Biology,
116(4), 465-477. (DOI: 10.1016/j.funbio.2012.01.005).
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 systems. J. 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 land. J. Geophys. Res.,
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 control. Bull. Amer. Meteor. Soc.,
Fiebrich, C. A., C. R. Morgan, A. G. McCombs, P. K. Hall, and R. A. McPherson, 2010: Quality Assurance Procedures for Mesoscale Meteorological Data. Journal of Atmospheric and Oceanic Technology,
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 Mesonet. J. Atmos. Oceanic Technol.,
Fiebrich, C. A., J. E. Martinez, J. A. Brotzge, and J. B. Basara, 2003: The Oklahoma Mesonet's skin temperature network. J. Atmos. Oceanic Technol.,
Fiebrich, C.A., and K.C. Crawford, 2009: Automation: A Step toward Improving the Quality of Daily Temperature Data Produced by Climate Observing Networks. J. Atmos. Oceanic Technol.,
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 2011. Monthly 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 enterprises. Prof. Anim. Sci.,
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 Redbud. Journal of Plant Nutrition,
Fisher, B. L., 2004: Climatological validation of TRMM TMI and PR monthly rain products over Oklahoma. J. Appl. Meteor.,
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 Drought. Advances in Meteorology,
2017, 16 pgs. (DOI:10.1155/2017/8430743).
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 birds. Ecol Evol.,
2017;00, 1-12. (DOI: 10.1002/ece3.3195).
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 mechanisms. Hydrol. 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 Oklahoma. J. of Hydromet.,
Ford, T. W., and S. M. Quiring, 2014: Comparison and application of multiple methods for temporal interpolation of daily soil moisture. Intl. 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 Mesonet. Geophysical Research Letters,
41, 4727-4734. (DOI: 10.1002/2014GL060949).
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 Plains. J. 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, USA. Geophysical Research Letters,
42(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 SMOS. Hydrol. 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 Percentiles. J. Appl. Metr. and Clim.,
55, 2131-2149. (DOI: 10.1175/JAMC-D-16-0143.1).
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 Oklahoma. Journal of Geophysical Research: Atmospheres,
120(11), 519-535. (DOI: 10.1002/2015JD023975).
Forman, B. A., and S. A. Margulis, 2009: High-resolution satellite-based cloud-coupled estimates of total downwelling surface radiation for hydrologic modelling applications. Hydrol. Earth Syst. Sci. Discuss.,
Forman, B.A., and S.A. Margulis, 2012: Impact of Covariance Localization on Ensemble Estimation of Surface Downwelling Longwave and Shortwave Radiation Fluxes. J. 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 areas. Southwestern Entomologist,
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 2002. Mon Wea. Rev.,
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 Observations. J. 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 Structures. Mon Wea. Rev.,
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 Environment,
132, 1-6. (DOI: 10.1016/j.agee.2009.02.015).
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 radiobrightness. IEEE Transactions on Geoscience and Remote Sensing,
Galarneau, T.J., L.F. Bosart, C.A. Davis, and R. McTaggart-Cowan, 2009: Baroclinic Transition of a Long-Lived Mesoscale Convective Vortex. Mon Wea. Rev.,
Galbraith, H. S., D. E. Spooner, and C. C. Vaughn, 2010: Synergistic effects of regional climate patterns and local water management on freshwater mussel communities. Biological Conservation,
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 SGP99. J. Hydrometeorol.,
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 2002. J. Hydrometeor.,
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 observations. J. Appl. Meteor.,
Garbrecht, J. D. and X. C. Zhang, 2015: Soil erosion from winter wheat cropland under climate change in central Oklahoma. Applied Engineering in Agriculture,
31(3), 439-454. (DOI: 10.13031/aca31.10998).
Garbrecht, J. D., X. C. Zhang, and J. L. Steiner, 2014: Climate change and observed climate trends in the Fort Cobb experimental watershed. Journal of Environmental Quality,
43(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 reservoir. Journal of Hydrolic Engineering,
Ge, J., 2010: MODIS observed impacts of intensive agriculture on surface temperature in the southern Great Plains. International Journal of Climatology,
Geerts, B. R. Damiani, and S. Haimov, 2006: Finescale vertical structure of a cold front as revealed by an airborne Doppler radar. Mon Wea. Rev.,
Genton, M. G., S. A. Padoan, and H. Sang, 2015: Multivariate max-stable spatial processes. Biometrika,
102(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 agriculture. J. Hydrology,
George, A. D., T. J. O’Connell, K. R. Hickman, and D. M. Leslie Jr, 2013: Use of seeded exotic grasslands by wintering birds. Prairie Naturalist,
Ghaith, A. F., F. M. Epplin, and R. S. Frazier, 2017: Economics of grid-tied household solar panel systems versus grid-only electricity. Renewable and Sustainable Energy Reviews,
76, 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 rates. Renewable Energy,
109, 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 hydrology. J. Climate,
Ghan, S. J., L. R. Leung, and J. McCaan, 1999: A comparison of three different modeling strategies for evaluating cloud and radiation parameterizations. Mon Wea. Rev.,
Giangrande, S. E. and A. V. Ryzhkov, 2008: Estimation of Rainfall Based on the Results of Polarimetric Echo Classification. J. 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 campaign. J. Appl. Metr. and Clim.,
53(9), 2130-2147. (DOI: 10.1175/JAMC-D-13-0321.1).
Gillham, O., 1997: Warnings, watches, and ... stench alerts? Meteorology and hog farming in Oklahoma. Weatherwise,
Gillum, S.J., and E. Levetin, 2008: The air spora close to a compost facility in Northeast Oklahoma: Part I—spore trap sampling. Aerobiologia,
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 Wheat. Agron. J.,
Godfrey, C. M., and D. J. Stensrud, 2010: An Empirical Latent Heat Flux Parameterization for the Noah Land Surface Model. Journal of Applied Meteorology and Climatology,
Godfrey, C.M., and D.J. Stensrud, 2008: Soil Temperature and Moisture Errors in Operational Eta Model Analyses. J. Hydrometeor.,
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 era. Agron. J.,
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 Plains. Agronomy Journal,
104 (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 basin. Hydrol. Process.,
29, 724-738. (DOI: 10.1002/hyp.10159).
Gourley, J. J., and B. E. Vieux, 2005: A method for evaluating the accuracy of quantitative precipitation estimates from a hydrologic modeling perspective. J. Hydrometeor.,
Gourley, J. J., and B. E. Vieux, 2006: A method for identifying sources of model uncertainty in rainfall-runoff simulations. J. Hydrology,
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, Oklahoma. J. Hydrometeor,
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 fraction. Hydrol. Earth Syst. Sci.,
16, 1635-1645. (DOI: 10.5194/hess-16-1635-2012).
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 trapping. Environ. Entomol.,
Greene, J. S., and E. Maxwell, 2007: Climatic impacts on winter wheat in Oklahoma and potential applications to climatic and crop yield prediction. International Journal of Biometeorology,
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 models. J. Atmos. Oceanic Technol.,
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 Review,
142, 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 Feedstock. Agronomy Journal,
103(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 data. Geophys. Res. Lett.,
35, L22401. (DOI: 10.1029/2008GL035772).
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 case. Mon Wea. Rev.,
Guretzky, J., M. Kering, J. Mosali, E. Funderburg, and J. Biermacher, 2010: Fertilizer rate effects on forage yields stability and nutrient uptake of midland bermudagrass. Journal of Plant Nutrition,
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 model. IzvestiyaAtmospheric and Oceanic Physics,
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 MODFLOW. Environmental Modelling & Software,
73, 103-116. (DOI: 10.1016/j.envsoft.2015.08.011).
Haankuku, C., F. M. Epplin, and V. G. Kakani, 2015: Industrial sugar beets to biofuel: Field to fuel production system and cost estimates. Biomass and Bioenergy,
80, 267-277. (DOI: 10.1016/j.biombioe.2015.05.027).
Hale, R. C., and C. E. Duchon, 2003: Use of AVHRR-derived surface temperatures in evaluating a land-atmosphere model. International Journal of Remote Sensing,
Harris, T. A, J. B. Tapp, and K. L. Sublette, 2005: Remediation of oil-field brine-impacted soil using a subsurface drainage system and hay. Environmental Geosciences,
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 Front. Monthly Weather Review,
Haugland, M. J., and K. C. Crawford, 2005: The diurnal cycle of land-atmosphere interactions across Oklahoma's winter wheat belt. Mon Wea. Rev.,
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 Plant. Intl. J. of Renewable Energy Res.,
Hering A.S., and M.G. Genton, 2011: Comparing Spatial Predictions. Technometrics,
53(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 Oklahoma. Journal of the Kansas Entomological Society,
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 method. J. Hydrometeorol.,
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 Oklahoma. Monthly Weather Review,
144, 2889-2913. (DOI: 10.1175/MWR-D-15-0344.1).
Holcomb, E. D., C. A. Davis, and S. D. Fuhlendorf, 2014: Patch‐burn management: Implications for conservation of avian communities in fire‐dependent sagebrush ecosystems. Journal of Wildlife Management,
78, 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 measurements. Water 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 observations. J. 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 case. Mon Wea. Rev.,
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 events. J. 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 models. J. Climate,
Hong, S., and I. Shin, 2011: A physically-based inversion algorithm for retrieving soil moisture in passive microwave remote sensing. J. of Hydro,
1-2, 24-30. (DOI: 10.1016/j.jhydrol.2011.05.005).
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 model. Geophysical Research Letters,
32, 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 moisture. Advances in Water Resources,
Houser, J.L., and H.B. Bluestein, 2011: Polarimetric Doppler Radar Observations of Kelvin–Helmholtz Waves in a Winter Storm. J. Atmos. Sci,
68, 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 grouse. Ecosphere,
53(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-chickens. Rangeland Ecology & Management,
68(2), 186-193. (DOI: 10.1016/j.rama.2015.01.009).
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 case. Mon. Wea. Rev.,
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 impact. Mon Wea. Rev.,
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 3DVAR. Mon Wea. Rev.,
Hu, X. M., and M. Xue, 2016: Influence of Synoptic Sea-Breeze Fronts on the Urban Heat Island Intensity in Dallas–Fort Worth, Texas. Monthly Weather Review,
144, 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 Assessments. J. 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 City. J. Appl. Metr. and Clim.,
52, 1779-1802. (DOI: 10.1175/JAMC-D-12-0256.1).
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 concentration. J. 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 Testbed. J. Appl. Meteor.,
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 observations. J. Hydrometeorol.,
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 Oklahoma. Applied Engineering in Agriculture,
Hunt, E., J. B. Basara, and C. Morgan, 2007: Significant inversions and rapid in-situ cooling at a well-sited Oklahoma Mesonet station. J. Appl. Meteor.,
Husain, S. Z., S. Bélair, and S. Leroyer, 2014: Influence of soil moisture on urban microclimate and surface-layer meteorology in Oklahoma City. J. 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 Model. Boundary-Layer Meteorology,
147 (3), 525-551. (DOI: 10.1007/s10546-013-9798-x).
Hutchinson, T. A., and H. B. Bluestein, 1998: Prefrontal wind-shift lines in the plains of the United States. Mon Wea. Rev.,
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 biorefineries. Biomass and Energy,
Iacobellis, S. F., G. M. McFarquhar, D. L. Mitchell, and R. C. J. Somerville, 2003: The sensitivity of radiative fluxes to parameterized cloud microphysics. J. Climate,
Illston, B. G., and J. B. Basara, 2003: Analysis of short-term droughts in Oklahoma. EOS Transactions,
Illston, B. G., J. B. Basara, and K. C. Crawford, 2004: Seasonal to interannual variations of soil moisture measured in Oklahoma, Int. J. Climatol.,
24, 1883 - 1896.
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 Temperature. Soil Science Society of America Journal,
77 (3), 741-747. (DOI: 10.2136/sssaj2012.0189).
Illston, B.G., J.B. Basara, D.K. Fischer, R.L. Elliott, C. Fiebrich, K.C. Crawford, K. Humes, and E. Hunt, 2008: Mesoscale Monitoring of Soil Moisture Across a Statewide Network. J. of Atmos. and Oceanic Tech,
Ines, A. V. M., and B. P. Mohanty, 2008: Near-surface soil moisture assimilation for quantifying effective soil hydraulic properties under different hydroclimatic conditions. Vadose Zone Journal,
Interrante, S. M., D. Hancock, and T. J. Butler, 2015: Switchgrass Establishment and Biomass Yield Responses to Fungicide and Insecticide Seed Treatments. Crop, Forage and Turfgrass Management,
1(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 Model. Journal of Hydrologic Engineering,
20(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 effort. J. Irrigation and Drainage Engineering,
Jackson, T. J., 2003: Multiple resolution analysis of L-band brightness temperature for soil moisture. IEEE Transactions on Geoscience and Remote Sensing,
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 experiment. International Journal of Remote Sensing,
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 Experiment. IEEE Transactions on Geoscience and Remote Sensing,
40, 2151- 2161.
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.,
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 Sensing,
Jackson, T. J., and Coauthors, 2010: Validation of Advanced Microwave Scanning Radiometer Soil Moisture Products. Geoscience and Remote Sensing, IEEE Transactions on,
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 Experiment. IEEE Transactions on Geoscience and Remote Sensing,
James, E. P., and R. H. Johnson, 2010: Patterns of Precipitation and Mesolow Evolution in Midlatitude Mesoscale Convective Vortices. Monthly Weather Review,
Jiang, H., and S. Islam, 2003: An intercomparison of regional latent heat flux estimation using remote sensing data. International Journal of Remote Sensing,
Jiang, H., and W. R. Cotton, 2004: Soil moisture estimation using an artificial neural network: a feasibility study. Canadian Journal of Remote Sensing,
Johnson, A., and X. Wang, 2012: Verification and Calibration of Neighborhood and Object-Based Probabilistic Precipitation Forecasts from a Multimodel Convection-Allowing Ensemble. Mon. 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 forecasts. Monthly Weather Review,
143(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 Period. Monthly Weather Review,
139, 3694-3710. (DOI: 10.1175/MWR-D-11-00016.1).
Jones, T. A., D. J. Stensrud, P. Minnis, and R. Palikonda, 2013: Evaluation of a forward operator to assimilate cloud water path into WRF-DART. Monthly Weather Review,
141 (7), 2272-2289.
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 2011. Monthly Weather Review,
143, 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 experiments. Weather and Forecasting,
31(1), 297-327. (DOI: 10.1175/WAF-D-15-0107.1).
Kain, J. S., and Coauthors, 2010: Assessing Advances in the Assimilation of Radar Data and Other Mesoscale Observations within a Collaborative Forecasting‚ÄìResearch Environment. Weather and Forecasting,
Kalinga, O.A., and T.Y. Gan, 2012: Merging WSR-88D stage III radar rainfall data with rain gauge measurements using wavelet analysis. Intl. J. of Remote Sensing,
33(4), 1078-1105. (DOI: 10.1080/01431161.2010.550641).
Keim, K. R., L. H. Edwards, and J. R. Sholar, 2003: Producing soybean and wheat cropping systems in rainfed environments. Online. Crop Management,
Online, . (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 Hazards,
63(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 Information. Journal of Agricultural and Resource Economics,
20, 356-372. (DOI: http://www.jstor.org/stable/40987744).
Kenkel, P. L., and P. E. Norris, 1997: Agricultural Producers' Willingness to Pay for Real-Time Mesoscale Weather Information: A Response. Journal of Agricultural and Resource Economics,
Kennedy, A. D., X. Dong, and B. Xi, 2014: Cloud fraction at the ARM SGP site. Theor Appl Climatol,
115, 91-105. (DOI: 10.1007/s00704-013-0853-9).
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 Oklahoma. International Journal of Remote Sensing,
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 switchgrass. Biomass and Bioenergy,
Kim, G., J. B. Valdes, G. R. North, H. T. Kim, 2006: Assessment of sampling error associated with soil moisture estimation designs. Journal of the American Water Resources Association,
Kim, J. and T.S. Hogue, 2008: Evaluation of a MODIS-Based Potential Evapotranspiration Product at the Point Scale. J. 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 averaging. Journal of Geophysical Research: Atmospheres,
120(16), 8023-8042. (DOI: 10.1002/2014JD022905).
Kim, T., P. Kenkel, and B.W. Brorsen, 2012: Forecasting Hourly Peak Call Volume for a Rural Electric Cooperative Call Center. J. of Forecasting,
31(4), 314-329. (DOI: 10.1002/for.1226).
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 wheat. J. Economic Entomology,
Kirkwood, A. E., and W. J. Henley, 2006: Algal community dynamics and halotolerance in a terrestrial, hypersaline environment. Journal of Phycology,
Klein, P. M., and J. M. Galvez, 2015: Flow and turbulence characteristics in a suburban street canyon. Environmental Fluid Mechanics,
15, 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 conditions. Science of The Total Environment,
512-513, 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 Oklahoma. Boundary Layer Meteorology,
158(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 Concentrations. Boundary Layer Meteorology,
150, 107-130. (DOI: 10.1007/s10546-013-9864-4).
Klemm, T. and R. A. McPherson, 2017: The development of seasonal climate forecasting for agricultural producers. Agricultural and Forest Meteorology,
232, 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 Mesonet. Weather, Climate, and Society,
Knievel, J. C., and R. H. Johnson, 2002: The kinematics of a midlatitude, continental mesoscale convective system and its mesoscale vortex. Mon Wea. Rev.,
Knievel, J. C., and R. H. Johnson, 2003: A scale-discriminating vorticity budget for a mesoscale vortex in a midlatitude, continental mesoscale convective system. J. Atmos. Sci.,
Knopfmeier, K. H., and D. J. Stensrud, 2013: Influence of mesonet observations on the accuracy of surface analyses generated by an ensemble Kalman filter. Weather and Forecasting,
Knupp, K., 2006: Observational analysis of a gust front to bore to solitary wave transition within an evolving nocturnal boundary layer. J. Atmos. Sci.,
Koch, S. E., and S. Saleeby, 2001: An automated system for the analysis of gravity waves and other mesoscale phenomena. Wea. Forecasting,
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 Naturalist,
176(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 experiments. Mon Wea. Rev.,
Koren, V., F Moreda, M Smith, 2008: Use of soil moisture observations to improve parameter consistency in watershed calibration. Physics and Chemistry of the Earth,
Krajewski, W. F., and B. Vignal, 2001: Evaluation of anomalous propagation echo detection in WSR-88D data: a large sample case study. J. Atmos. Oceanic Technol.,
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 reflectivity. J. of Hydr.,
402, 306-316. (DOI: 10.1016/j.jhydrol.2011.03.024).
Krikken, F., and G. Steenveld, 2012: Modelling the re-intensification of tropical storm Erin (2007) over Oklahoma: understanding the key role of downdraft formulation. Tellus A,
64, 17417. (DOI: 10.3402/tellusa.v64i0.17417).
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 Plains. Soil Science Society of America,
79(6), 1567-1576. (DOI:10.2136/sssaj2015.01.0041).
Kuligowski, R. J., 2002: A self-calibrating real-time GOES rainfall algorithm for short-term rainfall estimates. J. Hydrometeor.,
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 Model. Boundary 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 seedlings. Trees - Structure and Function,
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 WRF. Environmental Modelling and Software,
23, 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-88D. Monthly Weather Review,
Kummerow, C., and Coauthors, 2001: The Evolution of the Goddard Profiling Algorithm (GPROF) for Rainfall Estimation from Passive Microwave Sensors. Journal of Applied Meteorology,
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 sensors. J. Appl. Meteor.,
Kurdzo, J.M., and R.D. Palmer, 2012: Objective Optimization of Weather Radar Networks for Low-Level Coverage Using a Genetic Algorithm. J. Atmos. Oceanic echnol.,
29, 807-821. (DOI: 10.1175/JTECH-D-11-00076.1).
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 observations. Advances in Water Resources,
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 SGP97. J. Hydrometeor.,
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 temperature. The Geographical Bulletin,
56(2), 102-121. (www.gammathetaupsilon.org/the-geographical-bulletin/2010s/volume56-2/article4.pdf).
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 Method. Sensors,
Lakshmanan, V., M. Miller, and T. Smith, 2013: Quality control of accumulated fields by applying spatial and temporal constraints. J. Atmos. and Ocean. Tech.,
Lakshmi, V., 2013: Remote sensing of soil moisture. ISRN Soil Science,
2013, Article ID 424178, 33 pgs. (DOI: 10.1155/2013/424178).
Lane, D. E., K. Goris, and R. C. J. Somerville, 2002: Radiative transfer through broken clouds: Observations and model validation. J. Climate,
Lane, D. E., R. C. J. Somerville, and S. F Iacobellis, 2000: Sensitivity of cloud and radiation parameterizations to changes in vertical resolution. J. Climate,
Larsson, L. C., C. L. Pruett, D. H. Wolfe, and M. A. Patten, 2013: Fine-scale selection of habitat by the Lesser Prairie-chicken. The Southwestern Naturalist,
Lee, B.H., P. Kenkel, and B. W. Brorsen, 2013: Pre-harvest forecasting of county wheat yield and wheat quality using weather information. Agr. 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 estimates. Advances in Water Resources,
74, 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 states. Adv. 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 model. GCB Bioenergy,
4(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 observations. Remote Sensing of Environment,
Lee, K., and E. N. Anagnostou, 2004: Investigation of the nonlinear hydrologic response to precipitation forcing in physically based land surface modeling. Canadian Journal of Remote Sensing,
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 model. Water SA,
Lee, W.H., S.F. Iacobellis, and R.C.J. Somerville, 1997: Cloud radiation forcings and feedbacks: General circulation model tests and observational validation. J. Climate,
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 profiler. Mon Wea. Rev.,
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 prairie. Environmental Monitoring and Assessment,
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 Experiment. Boundary-Layer Meteorology,
133, 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 models. Theoretical and Applied Climatology,
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 States. J. 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 Oklahoma. Annals of the Assoc. of Amer. Geog.,
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 network. Computer Standards and Interfaces,
36(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 Validation. J. of Atmos. and Ocean. Tech,
29, 731-744. (DOI: 10.1175/JTECH-D-11-00122.1).
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 layer. Atmos. 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 Oklahoma. Geophysical Research Letters,
34, L24705. (DOI: 10.1029/2007GL031652).
Lindsey, D. T., and M. J. Bunkers, 2005: Observations of a severe, left-moving supercell on 4 May 2003. Wea. Forecasting,
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 grassland. Oklahoma Native Plant Record,
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 Model. J. 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 data. J. 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—MESONET. Water Res. Management,
25 (6), 1601-1613.
Liu, X., S. J. Rees, and J. D. Spitle, 2007: Modeling snow melting on heated pavement surfaces. Part II: Experimental validation. Applied Thermal Engineering,
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 Project. J. Appl. Meteor. Clim.,
Lollato, R. P. and J. T. Edwards, 2015: Maximum attainable wheat yield and resource-use efficiency in the southern Great Plains. Crop Science,
55(6), 2863-2876. (DOI: 10.2135/cropsci2015.04.0215).
Looper, J.P., B.E. Vieux, and M.A. Moreno, 2012: Assessing the impacts of precipitation bias on distributed hydrologic model calibration and prediction accuracy. J. of Hydrol.,
418-419, 110-122. (DOI: 10.1016/j.jhydrol.2009.09.048).
Lu, H., Q. Xu, M. Yao, and S. Gao, 2011: Time-Expanded Sampling for Ensemble-Based Filters: Assimilation Experiments with Real Radar Observations. Adv. 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 reflectivity. J. Atmos. Oceanic Technol.,
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 environments. Algal Reserch,
6, 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 Plains. J. Geophys. Res.,
108, D22. (DOI: 10.1029/2002JD003246).
Mackaro, S.M., R.T. McNider, and A.P. Biazar, 2012: Some Physical and Computational Issues in Land Surface Data Assimilation of Satellite Skin Temperatures. Pure Appl. Geophys,
169, 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 Bloat. Crop Sci.,
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 environments. Crop 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 Plains. Crop Sci.,
Magas, O. K., J. T. Gunter, and J. L. Regens, 2006: Ambient air pollution and daily pediatric hospitalizations for asthma. Environmental Science and Pollution Research,
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 uncertainty. Hydrol. 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 modeling. Hydrol. 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 Uncertainty. J. Hydrometeor,
12, 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 Models. J. Hydrometeor,
14, 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 Thunderstorm. Monthly Weather Review,
Mahajan, R. L., B. M. Fichera, and T. W. Horst, 2005: Mechanically aspirated radiation shields: A CFD and neural network design analysis. International Journal of HeataAnd Mass Transfer,
48(14), 2856-2867. (DOI: 10.1016/j.ijheatmasstransfer.2005.01.026).
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 2009. Weather and Forecasting,
29, 78-98. (DOI: 10.1175/WAF-D-13-00024.1).
Mahroof, R. M., P. A. Edde, B. Robertson, J. A. Puckette, and T. W. Phillips, 2010: Dispersal of Rhyzopertha dominica (Coleoptera: Bostrichidae) in Different Habitats. Environmental Entomology,
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, USA. Saline Systems,
1:11, 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 Environment. Agronomy Journal,
105 (2), 463-470. (DOI: 10.2134/agronj2012.0286).
Markowski, P. M., 2002: Mobile mesonet observations on 3 May 1999. Wea. Forecasting,
Markowski, P. M., and J. M. Straka, 2000: Some observations of rotating updrafts in a low-buoyancy, highly sheared environment. Mon Wea. Rev.,
Markowski, P. M., E. N., Rasmussen, and J. M. Straka, 1998: The occurrence of tornadoes in supercells interacting with boundaries during VORTEX-95. Wea. Forecasting,
Markowski, P. M., E. N., Rasmussen, J. M. Straka, and D. C. Dowell, 1998: Observations of low-level baroclinity generated by anvil shadows. Mon Wea. Rev.,
Markowski, P. M., J. M. Straka, and E. N., Rasmussen, 2002: Direct surface thermodynamic observations within the rear-flank downdrafts of nontornadic and tornadic supercells. Mon Wea. Rev.,
Markowski, P. M., J. M. Straka, E. N., Rasmussen, and D. O. Blanchard, 1998: Variability of storm-relative helicity during VORTEX. Mon Wea. Rev.,
Markowski, P., and C. Hannon, 2006: Multiple-Doppler Radar Observations of the Evolution of Vorticity Extrema in a Convective Boundary Layer. Mon Wea. Rev.,
Markowski, P., and Y. Richardson, 2007: Observations of Vertical Wind Shear Heterogeneity in Convective Boundary Layers. Mon Wea. Rev.,
Markowski, P., C. Hannon, and E. Rasmussen, 2006: Observations of Convection Initiation "Failure" from the 12 June 2002 IHOP Deployment. Mon Wea. Rev.,
Marks, S. K., J. D. Vitek, J. R. Giardino, and K. C. McQueen, 2002: Creating curricular change: needs in grades 8-12 earth science. Geomorphology,
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 data. Wea. Forecasting,
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_2002. Mon. Wea. Rev.,
139, 247-271. (DOI: 10.1175/2010MWR3422.1).
Martinez, J. E., C. E. Duchon, and W. L. Crosson, 2001: Effect of the number of soil layers on a modeled surface water budget. Water Resour. Res.,
Mascaro, G., E. R. Vivoni, and R. Deidda, 2010: Implications of Ensemble Quantitative Precipitation Forecast Errors on Distributed Streamflow Forecasting. journal of Hydrometeorology,
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 System. Land Remote Sensing and Global Env. Change,
11(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 States. J. Appl. Meteor.,
McCombs, A. G., and M. Yuan, 2016: Assessment of the importance of moderate spatial resolution cloud climatology data in solar radiation modeling. Physical Geography,
37:5, 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, USA. Entomologia Experimentalis et Applicata,
153(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 Problems. Bulletin of the American Meteorological Society,
August 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 learning. Machine Learning,
95, 27-50. (DOI: 10.1007/s10994-013-5343-x).
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 objectives. Environmental Science and Policy,
31, 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-herbivory. J. of Appl. Ecology,
49 (4), 903-910. (DOI: 10.1111/j.1365-2664.2012.02168.x).
McManus, G., T. W. Schmidlin, and C. A. Fiebrich, 2013: A New Minimum Temperature Record for Oklahoma. Bulletin of the American Meteorological Society,
McPherson, R. A., 2007: A review of vegetation-atmosphere interactions and their influences on mesoscale phenomena. Progress in Physical Geography,
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 classrooms. Bull. Amer. Meteor. Soc.,
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 Mesonet. J. Atmos. Oceanic Tech.,
McPherson, R. A., D. J. Stensrud, and K. C. Crawford, 2003: The impact of Oklahoma's winter wheat belt on the mesoscale environment. Mon Wea. Rev.,
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 Climatology,
31(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 Layer. Mon Wea. Rev.,
133, 2178-2199. (DOI: 10.1175/MWR2968.1).
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 Studies. J. Appl. Meteor. Climatol.,
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 approach. Journal of Hydrology,
Miao, Q., and B. Geerts, 2007: Finescale Vertical Structure and Dynamics of Some Dryline Boundaries Observed in IHOP. Mon Wea. Rev.,
Miller, D. A., S. Wu, and D. Kitzmiller, 2013: Spatial and Temporal Resolution Considerations in Evaluating and Utilizing Radar Quantitative Precipitation Estimates. Journal of Operational Meteorology,
Miller, J. L., and D. B. Ligon, 2014: Sex ratios in naturally incubating Macrochelys temminckii nests, a species with type II temperature-dependent sex determination. Journal of Thermal Biology,
39, 6-11. (DOI: 10.1016/j.jtherbio.2013.11.002).
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 yields. Remote Sensing,
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 system. J. Geophys. Res.,
109, D07S90. D07S90.1-D07S90.32 .
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 NLDAS. J. of Hydromet.,
12, 181-205. (DOI: 10.1175/2010JHM1310.1).
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 Oklahoma. Journal of Plant Nutrition,
36, 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 Experiment. Water Resources Research,
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 Experiment. J. Hydrometeor.,
Monroe, A. P., and T. J. O'Connell, 2014: Winter bird habitat use in a heterogeneous tallgrass prairie. The American Midland Naturalist,
171(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 formation. Electronic J. Severe Storms Meteor.,
5 (6), 1-18.
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 1999. Wea. Forecasting,
Morris, D. A., K. C. Crawford, K. A. Kloesel, and J. M. Wolfinbarger, 2001: OK-FIRST: a meteorological information system for public safety. Bull. Amer. Meteor. Soc.,
Morrison, H., S. A. Tessendorf, K. Ikeda, and G. Thompson, 2012: Sensitivity of a Simulated Midlatitude Squall Line to Parameterization of Raindrop Breakup. Mon. Wea. Rev.,
Morrissey, M. L., A. Albers, J. S. Greene, and S. Postawko, 2010: An Isofactorial Change-of-Scale Model for the Wind Speed Probability Density Function. Journal of Atmospheric and Oceanic Technology,
Morrissey, M. L., and J. S. Greene, 1998: Using the Oklahoma Mesonet to develop and test a sampling error statistic for meteorological time series. J. Geophys. Res.,
108, 8979-8984. D8.
Morrissey, M. L., J. A. Maliekal, J. S. Greene, and J. M. Wang, 1995: The uncertainty of simple spatial averages using rain-gauge networks. Water Resources Research,
31(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 Function. Journal of Atmospheric and Oceanic Technology,
Morrissey, M.L., and J.S. Greene, 2012: Tractable Analytic Expressions for the Wind Speed Probability Density Functions Using Expansions of Orthogonal Polynomials. J. 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 producers. Agronomy Journal,
Moser, G. and S. B. Serpico, 2009: Automatic Parameter Optimization for Support Vector Regression for Land and Sea Surface Temperature Estimation From Remote Sensing Data. IEEE Transactions on Geoscience and Remote Sensing,
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 networks. Intl. J. of Clim.,
33, 1585-1600. (DOI: 10.1002/joc.3678).
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 Initiation. Mon Wea. Rev.,
Nallapareddy, A., A. Shapiro, J.J. Gourley, 2011: A Climatology of Nocturnal Warming Events Associated with Cold-Frontal Passages in Oklahoma. J. 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 Oklahoma. Environmental Entomology,
Narasimhan, R., J. Keller, G. Subramaniam, E. Raasch, B. Croley, K. Duncan, and W. T. Potter, 2000: Ozone modeling using neural networks. J. Appl. Meteor.,
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 Model. Advances in Meteorology,
2013, 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 Mountains. Mon Wea. Rev.,
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 development. J. Geophys. Res.,
108, 8857. doi:10.1029/2002JD003158.
Newhouse, C. P., and E. Levetin, 2004: Correlation of environmental factors with asthma and rhinitis symptoms in Tulsa, OK.. Annals of Allergy, Asthma and Immunology,
Newman, J. F., and P. M. Klein, 2014: The impacts of atmospheric stability on the accuracy of wind speed extrapolation methods. Resources,
3(1), 81-105. (DOI: 10.3390/resources3010081).
Nicol, J. C., and A. J. Illingworth, 2013: The effect of phase-correlated returns and spatial smoothing on the accuracy of radar refractivity retrievals. J. Atmos. and Ocean. Tech.,
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 experiment. Ecology,
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 Plains. J. Geophys. Res.,
111, D19107. (DOI: 10.1029/2005JD006746).
Northup, B. K. and S. C. Rao, 2015: Green manure and forage potential of lablab in the US southern Plains. Agronomy Journal,
107(3), 1113-1118. (DOI:10.2134/agronj14.0455).
Noto, L. V., 2013: Exploiting the topographic information in a PDM-based conceptual hydrological model. Journal of Hydrologic Engineering,
Oberheu D. G., and C. B. Dabber, 2001: Aflatoxin production in supplemental feeders provided for northern bobwhite in Texas and Oklahoma. J. Wildlife Diseases,
Oberheu D. G., and C. B. Dabber, 2001: Aflatoxin contamination in supplemental and wild foods of northern bobwhite. Ecotoxicology,
Ogunsola, O. T., and L. Song, 2015: Application of a Simplified Thermal Network Model for Real-Time Thermal Load Estimation. Energy and Buildings,
96, 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 Science,
Ovtchinnikov, M., T. Ackerman, R. Marchand, and M. Khairoutdinov, 2006: Evaluation of the multiscale modeling framework using data from the Atmospheric Radiation Measurement program. J. Climate,
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 index. IEEE Transactions on Geoscience and Remote Sensing,
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 radar. Bull. Amer. Meteor. Soc.,
Pan, M., and E.F. Wood, 2006: Data assimilation for estimating the terrestrial water budget using a constrained Ensemble Kalman Filter. J. Hydrometeor.,
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 Network. J. Atmos. Oceanic Technol.,
29, 933–943. (DOI: 10.1175/JTECH-D-11-00104.1).
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 structure. Biology and Fertility of Soils,
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 Peninsula. Hydrol. 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 Oklahoma. IEEE Transactions on Geoscience and Remote Sensing,
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 Plains. Soil 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 Plains. Agronomy Journal,
106(4), 1329-1339. (DOI: 10.2134/agronj14.0011).
Payne, A.F. and D.L. Smith, 2012: Development and Evaluation of Two Pecan Scab Prediction Models. Plant Disease,
96(9), 1358-1364. (DOI: 10.1094/PDIS-03-11-0202-RE).
Pereira Fo., A. J., and K. C. Crawford, 1999: Mesoscale precipitation fields. Part I: statistical analysis and hydrologic response. J. Appl. Meteor.,
Pereira Fo., A. J., K. C. Crawford, and C. L. Hartzell, 1998: Improving WSR-88D hourly rainfall estimates. Wea. Forecasting,
Pereira Fo., A. J., K. C. Crawford, and D. J. Stensrud, 1999: Mesoscale precipitation fields. Part II: hydrometeorologic modeling. J. Appl. Meteor.,
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 modeling. Advances in Water Resources,
Pettet, C. R., and R. H. Johnson, 2003: Airflow and precipitation structure of two leading stratiform mesoscale convective systems determined from operational datasets. Wea. Forecasting,
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 States. J. Appl. Meteor. Climatol.,
Prakash, A., and S. K. Singh, 2014: Towards an efficient regression model for solar energy prediction. 2014 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 GOES. Weather and Forecasting,
30(5), 1182-1200. (DOI: 10.1175/WAF-D-14-00106.1).
Pryor, K.L., 2011: Microburst Nowcasting Applications of GOES. Electronic Journal of Operational Metr.,
2011-EJ#, 22 pg.
Purcell, L. C., J. T. Edwards, and K. R. Brye, 2007: Soybean yield and biomass responses to cumulative transpiration: questioning widely-held beliefs. Field Crops Res.,
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 Plains. Journal of Hydrometeorology,
14.3, 700-721. (DOI: 10.1175/JHM-D-12-0134.1).
Qiao, L., C. B. Zou, R. E. Will, and E. Stebler, 2015: Calibration of SWAT model for woody plant encroachment using paired experimental watershed data. J. 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 regression. Advances in Atmospheric Sciences,
Qiu, X., Q. Xu, C. Qiu, K. Nai, and P. Zhang, 2013: Retrieving 3D Wind Field from Phased Array Radar Rapid Scans. Advances in Meteorology,
2013, Article ID 792631, 16 pg. (DOI: 10.1155/2013/792631).
Rabin, R. M., and T. J. Schmit, 2006: Estimating soil eetness from the GOES sounder. J. Atmos. Oceanic Technol.,
Ramsey, N. R., P. M. Klein, and B. Moore, 2014: The impact of meteorological parameters on urban air quality. Atmospheric Environment,
86, 58-67. (DOI: 10.1016/j.atmosenv.2013.12.006).
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: VORTEX. Bulletin of the American Meteorological Society,
75(6), 995-1006. (DOI: 10.1175/1520-0477(1994)075<0995:VOTOOR>2.0.CO;2).
Ray, E. J., and E. A. Bergey, 2015: After the burn: factors affecting land snail survival in post-prescribed-burn woodlands. J. Mollus. Stud.,
81(1), 44-50. (DOI: 10.1093/mollus/eyu051).
Reen, B. P., D. R. Stauffer, and K. J. Davis, 2014: Land-surface heterogeneity effects in the planetary boundary layer. Boundary Layer Meteorology,
150(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 modelling. Boundary-Layer Meteorology,
Reichle, R. H., D. B. McLaughlin, and D. Entekhabi, 2001: Variational data assimilation of microwave radiobrightness observations for land surface hydrology applications. IEEE Transactions on Geoscience and Remote Sensing,
Reichle, R. H., D. B. McLaughlin, and D. Entekhabi, 2002: Hydrologic data assimilation with the Ensemble Kalman Filter. Mon Wea. Rev.,
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 approach. Water Resources Research,
Reid, A. M., S. D. Fuhlendorf, and J. R. Weir, 2010: Weather Variables Affecting Oklahoma Wildfires. Rangeland Ecology and Management,
Ren, D., 2010: Adjoint retrieval of prognostic land surface model variables for an NWP model: Assimilation of ground surface temperature. Central European Journal of Geosciences,
Ren, D. D., and M. Xue, 2004: An improved force-restore model for Land Surface Modeling. J. Appl. Meteor.,
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 prediction. J. Hydrometeor.,
Ren, D. L. M. Leslie, and D. J. Karoly, 2008: Sensitivity of an ecological model to soil moisture simulations from two different hydrological models. Meteorology and Atmospheric Physics,
Ren, D., and A. Henderson-Sellers, 2006: An analytical hydrological model and its implication in scaling issues for land surface modeling. J. Earth Interactions,
Ren, D., M. Xue, and A. Henderson-Sellers, 2004: The effects of hydraulic lift in simulating superficial soil moisture for vegetated surfaces under dry conditions. J. Hydrometeorol.,
Richardson, S. J., 1995: Automated temperature and relative humidity calibrations for the Oklahoma Mesonetwork. J. Atmos. Oceanic Technol.,
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 Period. J. Atmos. Oceanic Technol.,
Rigon, R., G. Bertoldi, and T. M. Over, 2006: GEOtop: A distributed hydrological model with coupled water and energy budgets. J. Hydrometeorol.,
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 scaling. J. Geophys. Res.,
Robinson-García, N., E. Jiménez-Contreras, and D. Torres-Salinas, 2016: Analyzing data citation practices using the Data Citation Index. Journal of the Association for Information Science and Technology,
67(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 season. J. Geophys. Res.,
Roebber, P. J., D. M. Schultz, and R. Romero, 2002: Synoptic Regulation of the 3 May 1999 Tornado Outbreak. Wea. Forecasting,
Rogers, C. A., and E. Leviten, 2004: Evidence of long-distance transport of mountain cedar pollen into Tulsa, Oklahoma. International Journal of Biometeorology,
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 Network. Journal of Atmospheric and Oceanic Technology,
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 switchgrass. Annals of Applied Biology,
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 sparrows. PeerJ,
3, e814. (DOI 10.7717/peerj.814).
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 Protection,
30 (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 confidence. Metr. 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 transplants. Journal of the Science of Food and Agriculture,
Ryzhkov, A. V. and D. S. Zrnic, 1995: Comparison of dual-polarization radar estimators of rain. Journal of Atmospheric and Oceanic Technology,
12(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 wavelength. J. 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-88D. J. Appl. Meteor.,
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 classification. Bull. Amer. Meteor. Soc.,
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 grazing. Rangeland Ecology & Management,
68(3), 290-297. (DOI: 10.1016/j.rama.2015.03.001).
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 making. Wea. Forecasting,
Schenkman, A. D., M. Xue, and M. Hu, 2014: Tornadogenesis in a high-resolution simulation of the 8 May 2003 Oklahoma City supercell. J. 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 MCS. Mon. 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 3DVAR. Mon. 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 Oklahoma. Atmospheric and Climate Sciences,
3(2), 249-258. (DOI: 10.4236/acs.2013.32026).
Schroeder, A. J., 2009: An Analysis of Observations from Portable Temperature and Humidity Sensors Deployed Across Oklahoma City. The Journal of Young Investigators,
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 overview. Journal of Atmospheric and Oceanic Technology,
22(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 2003. Mon Wea. Rev.,
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 data. J. Appl. Meteor.,
Scipal, K., M. Drusch, W. Wagner, 2008: Assimilation of a ERS scatterometer derived soil moisture index in the ECMWF numerical weather prediction system. Advances in Water Resources,
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 Estimates. J. Atmos. and Ocean. Tech.,
30, 2585-2595. (DOI: 10.1175/JTECH-D-13-00084.1).
Senay, G. B., and R. L. Elliott, 2004: Capability of AVHRR data in discriminating rangeland cover mixtures. International Journal of Remote Sensing,
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 Model. journal of Hydrometeorology,
Serrat‐Capdevila, A., J. B. Valdes, and E. Z. Stakhiv, 2014: Water management applications for satellite precipitation products: Synthesis and recommendations. JAWRA Journal of the American Water Resources Association,
50(2), 509-525. (DOI: 10.1111/jawr.12140).
Shafer, M. A., C. A. Fiebrich, D. Arndt, S. E. Fredrickson, and T. W. Hughes, 2000: Quality assurance procedures in the Oklahoma Mesonetwork. J. Atmos. Oceanic Technol.,
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 System. Bioresource Technology,
150, 163-171. (DOI: 10.1016/j.biortech.2013.09.120).
Shaw, W. J., and C. Doran, 2001: Observations of systematic boundary layer divergence patterns and their relationship to land use and topography. J. Clim.,
Shellberg, D.J. and K.C. Crawford, 1993: Oklahoma Mesonet Station Detects Intense Cold-Frontal Passage. Bulletin of the American Meteorological Society,
74 (11), 2238.
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 warming. Journal of Ecology,
103(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 scheme. Water Resources Research,
48, W06529. (DOI: 10.1029/2010WR009581).
Smith, M. W., 2002: Damage by early autumn freeze varies with pecan cultivar. Hortscience,
Smith, M. W., and B. S. Cheary, 2010: Pecan bud damage caused by freezing temperatures during Spring 2009 was affected by cultivar. Journal of the American Pomological Society,
Smith, M. W., B. W. Wood, W. R. Raun, 2007: Recovery and Partitioning of Nitrogen from Early Spring and Midsummer Applications to Pecan Trees. J. Amer. Soc. Hort. Sci.,
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 experiments. J. 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 System. Monthly Weather Review,
143, 1035-1057. (DOI: 10.1175/MWR-D-13-00262.1).
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 VORTEX. Bulletin of the American Meteorological Society,
76(10), 1777-1790. (DOI: 10.1175/1520-0477(1995)076 <1777:FODFTT>2.0.CO;2).
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 2012. Monthly Weather Review,
143(9), 3700-3725. (DOI: 10.1175/MWR-D-14-00126.1).
Sonwalkar, M., L. Fang, and D. Sun, 2010: Use of NDVI dataset for a GIS based analysis: A sample study of TAR Creek superfund site. Ecological Informatics,
Sorbjan, Z., 1996: Reply. J. Appl. Meteor.,
Sridhar, V., and R. L. Elliott, 2002: On the development of a simple downwelling longwave radiation scheme. Agricul. and Forest Meteor.,
Sridhar, V., R. L. Elliott, and F. Chen, 2003: Scaling effects on modeled surface energy-balance components. Journal of Hydrology,
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 Oklahoma. J. Geophys. Res.,
Sridhar, V., R.L. Elliott, and F. Chen, 2001: Testing the OSU land surface model under Oklahoma conditions. EOS Trans,
Stadler, S., J. M. Dryden, and J. S. Greene, 2015: Climate Change Impacts on Oklahoma Wind Resources: Potential Energy Output Changes. Resources,
42(2), 203-226. (DOI: 10.3390/resources4020203).
Stafne, E. T., 2007: Indices for Assessing Site and Winegrape Cultivar Risk for Spring Frost. International Journal of Fruit Science,
Stafne, E. T., and J. A. Puckette, 2011: Aerial Root Formation on Winegrape Cultivars after Spring 2007 Freeze Events. J. Enol. Vitic.,
Stamenkovic, J., and M. S. Gustin, 2007: Evaluation of use of EcoCELL technology for quantifying total gaseous mercury fluxes over background substrate. Atmospheric Environment,
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 mesocosms. Science of the Total Environment,
Starks, P. J., and D. N. Moriasi, 2009: Spatial Resolution Effect of Precipitation Data on SWAT Calibration and Performance: Implications for CEAP. Transactions of the ASABE,
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 Okalhoma. Environment and Natural Resources Research,
Starks, P. J., G. C. Heathman, T. J. Jackson, and M. H. Cosh, 2006: Temporal stability of soil moisture profile. J. Hydrology,
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 reproduction. J. Dairy Sci.,
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, USA. Journal of Environmental Quality,
43(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 observations. J. 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 Trap. Aerobiologia,
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 performance. Journal of Applied Ichthyology,
31(4), 695-703. (DOI: 10.1111/jai.12797).
Straka, J. M., E. N. Rasmussen, and S. E. Fredrickson, 1996: A mobile mesonet for finescale meteorological observations. J. Atmos. Oceanic Technol.,
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 Measurements. Geoscience and Remote Sensing Letters, IEEE,
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 spinach. Plant Disease,
Sun, D., R. Pinker, and J. B. Basara, 2004: Land surface temperature estimation from the next generation Geostationary Operational Environmental Satellite GOES M-Q. J. Applied Meteor.,
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 Algorithm. IEEE Geoscience and Remote Sensing Letters,
10 (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 Algorithm. Geoscience and Remote Sensing Letters,
99, 1-5. (DOI: 10.1109/LGRS.2012.2214473).
Sun, R., and S.K. Krueger, 2012: Mesoanalysis of the interactions of precipitating convection and the boundary layer. J. of Adv. In Modeling Earth Sys,
4, M04004. (DOI: 10.1029/2011MS000096).
Surcel, M., I. Zawadzki, and M. K. Yau, 2015: A study on the scale dependence of the predictability of precipitation patterns. J. of Atmos. Sci.,
72, 216-235. (DOI: 10.1175/JAS-D-14-0071.1).
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 Data. Water Resources Research,
44, W01413. (DOI: 10.1029/2007WR006057).
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 supercell. Weather and Forecasting,
30, 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 classification. Atmos. Res.,
104-105, 182-192. (DOI: 10.1016/j.atmosres.2011.10.006).
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 patterns. Rangeland Ecology & Management,
68(6), 476-484. (DOI: 10.1016/j.rama.2015.07.008).
Tavakoli, M., and F. De Smedt, 2012: Validation of soil moisture simulation with a distributed hydrologic model (WetSpa). Environmental Earth Sciences,
69 (3), 739-747. (DOI: 10.1007/s12665-012-1957-8).
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 Plains. Crop Protection,
59, 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 outbreak. Wea. Forecasting,
Torres, G. M., R. P. Lollato, and T. E. Ochsner, 2013: Comparison of Drought Probability Assessments Based on Atmospheric Water Deficit and Soil Water Deficit. Agronomy Journal,
105 (2), 428-436. (DOI: 10.2134/agronj2012.0295).
Trafalis, T. B., B. Santosa, and M. B. Richman, 2004: Learning networks in rainfall estimation. Computational Management Science,
Trafalis, T. B., B. Santosa, and M. B. Richman, 2004: Prediction of rainfall from WSR-88D radar using kernel-based methods. International Journal of Smart Engineering System Design,
Trafalis, T. B., M. B. Richman, A. White, and B. Santosa, 2002: Data mining techniques for improved WSR-88D rainfall estimation. Computers and Industrial Engineering,
Trapp, R. J., D. M. Schultz, A. V. Ryzhkov, and R. L. Holle, 2001: Multiscale structure and evolution of an Oklahoma winter precipitation event. Mon Wea. Rev.,
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 conditions. Mon Wea. Rev.,
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 ensemble. Monthly Weather Review,
143(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 moisture. Journal of Hydrology,
Troutt, C., and E. Levetin, 2004: Correlation of spring spore concentrations and meteorological conditions in Tulsa, Oklahoma. International Journal of Biometeorology,
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.,
Turlapaty, A. C., N. H. Younan and V. G. Anantharaj, 2012: A linear merging methodology for high-resolution precipitation products using spatiotemporal regression. Intl. J. of Remote Sensing,
33(24), 7844-7867. (DOI: 10.1080/01431161.2012.703345).
Tyndall, D. P., and J. D. Horel, 2013: Impacts of Mesonet Observations on Meteorological Surface Analyses. Weather and Forecasting,
Van de Water, P. K., and E. Levetin, 2001: Contribution of upwind pollen sources to the characterization of Juniperus ashei phenology. Grana,
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, USA. International Journal of Biometeorology,
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 ecosystems. Global Change Biology,
11, 1720-1732. (DOI: 10.1111/j.1365-2486.2005.001032.x).
Vignal, B., and W. F. Krajewski, 2001: Large-sample evaluation of two methods to correct range-dependent error for WSR-88D rainfall estimates. J. Hydrometeor.,
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 guidance. Journal of Hydrology,
Wagle, P., and V. G. Kakani, 2014: Environmental control of daytime net ecosystem exchange of carbon dioxide in switchgrass. Agriculture, Ecosystems and Environment,
186, 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 switchgrass. Ecohydrology,
7(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 stand. GCB Bioenergy,
6(4), 339-350. (DOI: 10.1111/gcbb.12049).
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 Simulations. J. Appl. Metr. and Clim.,
53(8), 2072-2090. (DOI: 10.1175/JAMC-D-13-0251.1).
Wakimoto, R. M., and H. V. Murphey, 2010: Frontal and Radar Refractivity Analyses of the Dryline on 11 June 2002 during IHOP. Monthly Weather Review,
Wakimoto, R. M., and N. T. Atkins, 1996: Observations on the Origins of Rotation: The Newcastle Tornado during VORTEX 94. Mon Wea. Rev.,
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 mesocyclogenesis. Mon Wea. Rev,
Wakimoto, R.M., H.V. Murphey, R.G. Fovell, and W.C. Lee, 2004: Mantle Echoes Associated with Deep Convection: Observations and Numerical Simulations. Mon Wea. Rev.,
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 herpotricha. Plant Disease,
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 Analysis,
44(5), 892-899. (DOI: 10.1080/00103624.2012.747606).
Wang, J. K., T. W. Ford, and S. M. Quiring, 2015: Distinguishing between Unorganized and Organized Convection When Examining Land–Atmosphere Relationships. Journal of Applied Meteorology and Climatology,
54(11), 2229-2243. (DOI: 10.1175/JAMC-D-15-0086.1).
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 - Atmospheres,
114, 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 initiation. J. of Geophys. Res,
117, D12107. (DOI: 10.1029/2012JD017552).
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 confinement. Integrative Zoology,
9(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 deer. Wildlife Biology in Practice,
10(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 Collars. International Journal of Ecology,
459610, 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 highlights. Bull. Amer. Meteor. Soc.,
Weckwerth, T.M ., and D. B. Parsons, 2006: A review of convection initiation and motivation for IHOP_2002. Mon Wea. Rev.,
Weir, J.R., 2011: Are Weather and Tradition Reducing Our Ability to Conduct Prescribed Burns?. Rangelands,
33(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 Intercepts. Monthly Weather Review,
143, 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.,
Weng, E. S., and Y. Q. Luo, 2008: Soil hydrological properties regulate grassland ecosystem responses to multifactor global change: a modeling analysis. Journal of Geophysical Research - Biogeosciences,
113, G03003. (DOI: 10.1029/2007JG000539).
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 experiments. Weather and Forecasting,
30(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 cows. J. Anim. Sci.,
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 ecotone. New Phytologist,
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 chemistry. Applied Soil Ecology,
65, 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 perspective. Mon Wea. Rev.,
Windahl, E., and K. de Beurs, 2016: An intercomparison of Landsat land surface temperature retrieval methods under variable atmospheric conditions using in situ skin temperature. International Journal of Applied Earth Observation and Geoinformation,
51, 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, USA. Biologia,
68(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 soil. J. 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, USA. Hydrol. 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 ecotone. Hydrological Processes,
26(11), 1720-1728. (DOI: 10.1002/hyp.8306).
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 Events. J. 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 effluent. Soil Science Society of America Journal,
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 dispersion. Atmos. 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 run. Hydrological Processes,
29, 780-792. (DOI: 10.1002/hyp.10190).
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-2. J. 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 products. J. 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 States. J. 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 analysis. Journal of Hydrometeorology,
16(5), 1962-1980. (DOI: 10.1175/JHM-D-14-0096.1).
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 2. J. 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 products. Journal of Applied Meteorology and Climatology,
54(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 array. J. Geophys. Res. Atmos.,
119(20), 11784-11808. (DOI: 10.1002/2014JD022011).
Xu, Q., and B. Zhou, 2003: Retrieving soil moisture from soil temperature measurements by using linear regression. Adv. Atmos. Sci.,
Xu, Q., and C. J. Qiu, 1997: A variational method for computing surface heat fluxes from ARM surface energy and radiation balance systems. J. Appl. Meteor.,
Xu, Q., B. Zhou, S. D. Burk, and E. H. Barker, 1999: An air-soil layer coupled scheme for computing surface heat fluxes. J. Appl. Meteor.,
Xu, Q., L. Wei, and K. Nai, 2015: Analyzing vortex winds in radar-observed tornadic mesocyclones for nowcast applications. Weather and Forecasting,
30(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 Applications. Advances in Meteorology,
2015, 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 grassland. Ecological Modelling,
297, 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 prairie. Global Change Biology,
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 prairie. Plant 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 prairie. Oecologia,
174(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 warming. Glob. 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 prairie. Global Change Biology,
18, 1648-1656. (DOI: 10.1111/j.1365-2486.2012.02651.x).
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 convection. Mon Wea. Rev.,
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 initiation. Mon Wea. Rev.,
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 assimilation. Meteorology and Atmospheric Physics,
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 2009. Advances in Meteorology,
2013, 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 data. Weather and Forecasting,
29(1), 39-62. (DOI: 10.1175/WAF-D-13-00029.1).
Yilmaz, M.T., W.T. Crow, M.C. Anderson, and C. Hain, 2012: An objective methodology for merging satellite- and model-based soil moisture products. Water Resources, Res,
48, W11502. (DOI: 10.1029/2011WR011682).
Yimam, Y. T., T. E. Ochsner, and V. G. Kakani, 2015: Evapotranspiration partitioning and water use efficiency of switchgrass and biomass sorghum managed for biofuel. Agricultural Water Management,
155, 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 crossings. Water Resources Research,
51, 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 forecasting. J. Hydrometeor.,
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 Index. J. Geophys. Res. Atmos.,
119(19), 10996-11010. (DOI: 10.1002/2014JD021970).
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 Infrastructure,
June 2014, 17-24.
Yue, E., L. Chen, R. Bulut, and Q. Cheng, 2014: Climatic Parameter TMI in Subgrade Soils. Climatic Effects on Pavement and Geotechnical Infrastructure,
Yussouf, N., and D. J. Stensrud, 2006: Prediction of near-surface variables at independent locations from a bias-corrected ensemble forecasting system. Mon Wea. Rev.,
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 schemes. Monthly Weather Review,
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 approach. Advances in Meteorology,
2013, 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 System. Weather and Forecasting,
31, 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 Model. J. of Hydr.,
420-421, 72-86. (DOI: 10.1016/j.jhydrol.2011.11.041).
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 Oklahoma. J. 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) System. Bulletin of Amer. Meteor. Soc.,
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 measurements. J. Atmos. Sci.,
Zhang, N., Q. Williams, and H. Liu, 2010: Effects of land-surface heterogeneity on numerical simulations of mesoscale atmospheric boundary layer processes. Theoretical and Applied Climatology,
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 sensing. International Journal of Remote Sensing,
Zhang, N., Y. Hong, Q. Qin, and L. Zhu, 2013: Evaluation of the visible and shortwave infrared drought index in China. International Journal of Disaster Risk Science,
Zhang, S. W., C. J. Qiu, and Q. Xu, 2004: Estimating soil water contents from soil temperature measurements by using adaptive Kalman filter. J. Appl. Meteor.,
Zhang, S. W., C. J. Qiu, and Q. Xu, 2005: Reply. J. Appl. Meteor.,
Zhang, X. C., 2004: CLIGEN non-precipitation parameters and their impact on WEPP crop simulation. Applied Engineering in Agriculture,
Zhang, X. C., and J. D. Garbrecht, 2003: Evaluation of CLIGEN precipitation parameters and their implication on WEPP runoff and erosion prediction. Transactions of the ASAE,
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 Validation. Agron. J.,
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 Site. Journal of the Atmospheric Sciences,
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 site. J. Atmos. Sci.,
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 simulations. J. of Hydr.,
420-421, 216-227. (DOI: 10.1016/j.jhydrol.2011.12.004).
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 Testbed. J. Climate,
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 forcing. J. Climate,
Zhou, B., and Q. Xu, 1999: Computing surface fluxes from mesonet data. J. Appl. Meteor.,
Zhou, X., E. Weng, and Y. Lou, 2008: Modeling patterns of nonlinearity in ecosystem responses to temperature, CO2, and precipitation changes. Ecological Applications,
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 ecosystem. Global Change Biology,
Ziegler, C. L., 2013: A diabatic Lagrangian technique for the analysis of convective storms. Part I: Description and validation via an observing system simulation experiment. J. Atmos. and Ocean. Tech.,
Ziegler, C. L., and E. N. Rasmussen, 1998: The initiation of moist convection at the dryline: forecasting issues from a case study perspective. Wea. Forecasting,
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 Initiation. Mon. Wea. Rev.,
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 Airflow. Mon. Wea. Rev.,
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 Analysis. Weather, Climate, and Society,
9(3), 499-519. (DOI: 10.1175/WCAS-D-16-0139.1).
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 catchment. Hydrol. Process.,
28(26), 6173-6182. (DOI: 10.1002/hyp.10102).