基于GPS数据的MODIS近红外水汽改进反演算法研究  

Research on Improved Retrieval Algorithm of MODIS Near-IR Water Vapor Based on GPS Data

作　　者：张俊东[1] 陈秀万[1] 李颖[2] 罗鹏[1] 万玮[1] 曹艳丰[1] 

机构地区：[1]北京大学遥感与地理信息系统研究所,北京100871 [2]河南省气象科学研究所,河南郑州450003

出　　处：《地理与地理信息科学》2013年第2期40-44,共5页Geography and Geo-Information Science

基　　金："十二五"民用航天预研项目

摘　　要：以高精度的GPS PWV为标准水汽值,研究建立MODIS近红外水汽改进反演算法以提高反演精度。对美国Kansas州和Oklahoma州2009年4-9月17期的MODIS近红外水汽反演值和对应的SuomiNet网GPS大气可降水量进行对比研究,发现Kaufman和Gao Bo-Cai算法反演的MODIS PWV与GPS PWV的时空变化趋势基本一致,但MODIS PWV系统性地偏低于GPS PWV,存在较大的反演误差。基于GPS PWV与Kaufman和Gao Bo-Cai算法水汽反演值间的线性回归关系、GPS PWV与MODIS近红外第19波段的二通道比值透射率间的关系对MODIS近红外二通道比值法进行了改进,并利用研究区数据进行验证,结果表明所建改进算法可大幅提高MODIS PWV的反演精度。Set the high-precision GPS PWV as the standard, the MODIS near-IR water vapor new retrieval algorithms were researched and established to improve the retrieval precision. With the comparison research of MODIS near-IR water vapor in Kansas State and Oklahoma State of USA between April and September 2009 and the corresponding SuomiNet GPS PWV, it＇s concluded that MODIS PWV retrieved by Kaufman and Gao Bo-Cai algorithm changed consistently with GPS PWV but was systematically lower than GPS PWV, with a relatively large error. Based on the linear regression relationship between GPS PWV and MODIS PWV retrieved by the Kaufman and Gao Bo-Cai algorithm, relationship between GPS PWV and MODIS near- IR two-channel ratio transmittance of the 19^th channel, the improved retrieval algorithms based on MODIS near-IR two-channel ratio were established. Data of the study area were used for experimental verification, which showed that the improved algorithms can greatly improve the retrieval precision of MODIS PWV.

关 键 词：大气可降水量(PWV) 反演算法 MODIS GPS 

分 类 号：P407[天文地球—大气科学及气象学]