基于多源遥感数据的陆面大气水汽反演研究.PDF

基于多源遥感数据的陆面 大气水汽反演研究 王永前 成都信息工程大学 2017.4.28 南京 目录 1.研究意义 2.研究内容 2.1 水汽产品对比分析 2.2 大气水汽反演  分裂窗反演-热红外  统计反演-微波 3. 结论与讨论 1 研究意义-大气水汽反演的重要性 CIRA Total Precipitable Water (mm) July 5-6 2016. Wuhan indicated by arrow. （Forsythe et al., 2016 ） During 72 formal user feedback submissions and multiple assessment periods, 62.5% of forecasters had high confidence in LPW. Fifty percent stated that LPW had a “large” impact on their decision process, and another 22.2% said LPW had “some” impact. For 76.4% of the events surveyed, forecasters stated that LPW had “large” to “very large” value over traditional total precipitable water products. （Forsythe et al., 2016 ） 2.1 水汽产品的对比分析-使用数据 ① 青藏高原东部的6个探空气象站观测数据 ② TERRA/MODIS大气廓线二级产品 （MODIS产品）； ③ AQUA/AIRS 二级标准数据产品 （AIRS Level-2 Version 005 Standard Products ， AIRS产品）； ④ AURA/MLS二级水汽产品 （MLS/Aura L2 Water Vapor （H2O ） Mixing Ratio ，后 简称为MLS产品）； ⑤ FY-3A/MWHS 综合大气温湿度廓线产品 （Atmospheric vertical sounding product ， 后简称AVP产品）； ⑥ Suomi NPP/ CRIMSS_EDR交叉跟踪红外和微波探测仪套件环境数据 （Cross-track