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中国L波段探空湿度观测资料的质量评估及偏差订正

郝民 龚建东 王瑞文 万晓敏 刘艳

气象学报Issue(1):187-199,13.
气象学报Issue(1):187-199,13.DOI:10.11676/qxxb2015.002

中国L波段探空湿度观测资料的质量评估及偏差订正

The quality assessment and correction of the radiosonde humidity data biases of L-band in China

郝民 1龚建东 1王瑞文 1万晓敏 1刘艳1

作者信息

  • 1. 国家气象中心,中国气象局数值预报中心,北京,100081
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摘要

Abstract

The radiosonde observation data of L-band has been one kind of the most basic and important data used in either the weather forecast or the numerical prediction,and its quality for humidity observations has a direct impact on the precipitation forecast.In this study,by calibrating the humidity data from the radiosonde observations with those derived from other type observations and comparing to the background fields based on the NCEP,GRAPES and EC modeling analyses,the qualities for the humidity data from radiosonde observation of L-band in China were assessed.So we could have a new understanding about the quality of the radiosonde observation,which would provide basis information for better use of the data.It was found that these sounding humidity tended to be drier than the analyses,thus the piecewise functions were applied for the humidity data correction.When the humidity was more than 60% in the background field,the deviation of the radiosonde observations for hu-midity would be significant,and the correction effect would become very prominent.The results of case studies and continuous experiments showed that the forecasting capabilities of precipitation intensity could be significantly improved after applying the bias correction for sounding humidity observations.Meanwhile,in term of precipitation forecast test score (TS)and forecasting bias (B),the humidity correction could obviously have positive effects on both the moderate and torrential rain forecasts.

关键词

探空观测/湿度偏干/偏差订正/同化预报

Key words

Radiosonde observation/Humidity drier than normal/Bias correction/Assimilation prediction

分类

天文与地球科学

引用本文复制引用

郝民,龚建东,王瑞文,万晓敏,刘艳..中国L波段探空湿度观测资料的质量评估及偏差订正[J].气象学报,2015,(1):187-199,13.

基金项目

资助课题公益性行业(气象)科研专项(GYHY201106008)、国家自然科学基金项目(41275105、41375107)。 ()

气象学报

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