ISSN 1006-9895

CN 11-1768/O4

Quality Control and Uncertainty Analysis of Return Radiosonde
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1.Numerical Prediction Center of CMA;2.Meteorological Observation Center of CMA

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    Abstract:

    Aiming at promoting the application of new-type sounding data in NWP (Numerical Weather Prediction) models, this paper presents a basic research work of return radiosonde data. Based on the firstly archived return radiosonde observation datasets in China, a quality control scheme for future operational implementation purpose is established. By comparing and analyzing the statistical characteristics of observation samples before and after the quality control, the rationality of the quality control method is demonstrated. After the quality control procedure, the sampling distribution of the detection variables is more reasonable, and the inner-consistency of variables is also improved. An uncertainty analysis of return radiosonde data is then carried out by referring to the high resolution NWP model forecast field and the conventional sounding observation data of the same site. The results show that the precision of return radiosonde has reached the breakthrough target defined by WMO (World

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History
  • Received:August 19,2019
  • Revised:December 03,2019
  • Adopted:January 02,2020
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  • Published: