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基于GPS和MODIS数据的大气可降水量反演算法研究
引用本文:张俊东;陈秀万;李颖;罗鹏;万玮;曹艳丰.基于GPS和MODIS数据的大气可降水量反演算法研究[J].东北测绘,2013(2):59-62,66.
作者姓名:张俊东;陈秀万;李颖;罗鹏;万玮;曹艳丰
作者单位:北京大学遥感与地理信息系统研究所;河南省气象科学研究所
基金项目:“十二五”民用航天预研项目资助
摘    要:基于高精度的PWVGPS与MODIS近红外三通道比值透射率间的关系建立MODIS大气可降水量新反演算法以提高反演精度。利用美国Kansas州和Oklahoma州2009年4月~9月间17期的MODIS数据和对应的SuomiNet网PWVGPS数据进行研究,发现Kaufman和Gao Bo-Cai算法反演的PWVMODIS系统性地偏低于PWVGPS,存在较大的反演误差。以高精度的PWVGPS为标准水汽值,研究PWVGPS与MODIS近红外第19波段的三通道比值透射率间的关系,建立了MODIS大气可降水量新反演算法,并利用研究区数据进行试验验证,结果表明新算法可大幅提高PWVMODIS的反演精度。

关 键 词:大气可降水量  PWV  反演算法  MODIS  GPS

Research on Retrieval Algorithm of Atmospheric Precipitable Water Vapor Based on GPS and MODIS Data
Institution:ZHANG Jun-dong1,CHEN Xiu-wan1,LI Ying2,LUO Peng1,WAN Wei1,CAO Yan-feng1(1.Institute of Remote Sensing and Geographic Information System,Peking University,Beijing 100871,China; 2.Henan Institute of Meteorological Sciences,Zhengzhou 450003,China)
Abstract:The new retrieval algorithm of MODIS atmospheric precipitable water vapor(PWV) was established to improve the retrieval precision based on the relationship between high-precision GPS PWV and MODIS near-IR three-channel ratio transmittance.With the use of MODIS data in Kansas State and Oklahoma State of USA between April and September 2009 and the corresponding SuomiNet GPS PWV,it’s concluded that the MODIS PWV retrieved by Kaufman and Gao Bo-Cai algorithm was systematically lower than GPS PWV with a relatively large error.Setting the high-precision GPS PWV as the standard,the relationship between GPS PWV and MODIS near-IR three-channel ratio transmittance of the 19th channel was researched,and the MODIS PWV new retrieval algorithm was established.Data of the study area was used for experimental verification,which showed that the new algorithm can greatly improve the retrieval precision of MODIS PWV.
Keywords:precipitable water vapor  PWV  retrieval algorithm  MODIS  GPS
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