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Monthly QA Report

Quality Assurance

The Oklahoma Mesonet’s quality-assurance (QA) consists of four principal components:
1) laboratory calibration,
2) on-site intercomparison,
3) automated QA, and
4) manual QA.

In the instrument laboratory, all sensors are calibrated to validate or improve upon factory calibrations.

On an annual basis, the accuracy of several types of sensors in the field is verified through comparison to calibrated reference sensors housed in a portable system.

To make a first pass through the 640,000+ observations that are received at the Mesonet each day, automated QA software includes numerous algorithms to evaluate the data received from remote stations.

Finally, the Mesonet’s QA meteorologists employ numerous manual techniques to complement automated QA including analysis of monthly statistics to detect sensor drift or bias (click on a month and year to the left to download a PDF version of a Monthly Report). In addition to detecting problematic sensors, the QA meteorologists trace the true start time of each problem so that appropriate data can be manually flagged as erroneous. The QA meteorologists are responsible for communicating problems to, and coordinating with, appropriate field technicians to ensure proper resolution (see a list of the current outstanding tickets below).

Current Trouble Tickets in the Oklahoma Mesonet
(For questions regarding these tickets, contact )

Station Variable Date Reported Problem Description
BYAR Air Temperature at 1.5 m 2014-12-16 17:16:28 Air temperature developed a high bias during high humidity.
BESS Air Temperature at 9 m 2014-12-15 15:56:05 Air temperature at 9m developed a low bias during high humidity.
WOOD Relative Humidity at 1.5 m 2014-12-12 20:21:47 Relative humidity is reporting a constant value of -7999.
MANG 229L Delta Temperature at 5 cm 2014-12-02 22:00:20 5cm soil moisture sensor does not moisten or dry as much as 10cm bare and sod.
WEST Soil Temperature at 5 cm under Native Vegetation 2014-10-29 17:49:15 5cm sod temperature has less diurnal variation than 10cm sod and neighbors. Suspect sensor at incorrect depth.
PORT Soil Temperature at 10 cm under Native Vegetation 2014-10-29 15:39:59 Sod temperature at 10cm has more diurnal variation than 5cm sod and neighbors. Suspect sensor is at incorrect depth.
BRIS Air Temperature at 9 m 2014-10-28 20:44:56 9m air temperature sometimes has a 2-3 C low bias after rain or extended periods of high humidity.
FORA 229L Delta Temperature at 60 cm 2014-10-28 13:22:49 Soil moisture at 60cm stopped heating. Starting and final temperature approximately the same value. Soil temperature data are fine.