ISSN 1000-0526
CN 11-2282/P
CN 11-2282/P
Archive > Volume 47 Issue 5 > 2021,47(5):573-585. DOI:10.7519/j.issn.1000-0526.2021.05.006 Prev Next
A Quality Control Algorithm and Evaluation of Hourly Data of China’s Wind Profilers for CRA
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Abstract:
This paper describes a quality control (QC) algorithm for hourly horizontal wind products of Chinese wind profilers. The QC algorithm is based on the complex QC system of NCEP， is designed for the requirements of CMA global atmospheric/land surface reanalysis product (CRA). The effectiveness of the QC algorithm is checked by comparing the correlation coefficient, average bias and root mean square error of wind profiler data and radiosonde data before and after QC procedures. The deviations from ERAInterim reanalysis data are calculated for both radiosonde and wind profiler data. Through comparing wind profiler deviations with radiosonde deviations, the overall quality conditions of Chinese wind profiler data before and after QC procedures are analyzed. The results show that the wind profiler data and the radiosonde data show better consistency after the QC by this QC algorithm, and the correlation coefficients of different radar types and different detection altitudes increase from the range 0.17-0.82 to the range 0.79-0.98. For different radar types and different vertical layers, all the biases of horizontal profiler wind data from ERAInterim exhibit a dramatic decrease after the QC procedures and are nearly equivalent to that of radiosonde data, except that the data from boundary layer wind profiler radar still has a deviation of uwind component about 5 m·s-1 above 300 hPa. The results prove that the QC algorithm has the ability to identify the highlevel gross error data, and can make effective use of the data above the maximum detection height.
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