Precipitation Detection and Retrieving Based on FY-3C MWHTS
作者机构:Key Laboratory of Microwave Remote SensingNational Space Science CenterChinese Academy of SciencesBeijing 100190China
出 版 物:《遥感科学(中英文版)》 (Remote Sensing Science)
年 卷 期:2017年第5卷第1期
页 面:1-12页
学科分类:12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学]
主 题:Microwave Humidity Temperature Sounder(MWHTS) Feng Yun(FY-3C)Satellite Precipitation Retrievals Algorithm NCEP/WRF/ARTS
摘 要:The paper develops a passive sub-millimeter precipitation retrievals algorithm for Microwave Humidity and Temperature Sounder(MWHTS)onboard the Chinese Feng Yun 3C(FY-3C)*** retrieval algorithm employs a number of neural network estimators trained and evaluated using the validated global reference physical model NCEP/WRF/ARTS,and works for *** data per 6 hours are downloaded to run the Weather Research and Forecast model WRF,and derive the typical precipitation data from the whole *** Atmospheric Radiative Transfer Simulator ARTS is feasible for performing simulations of atmospheric radiative *** detection algorithm has been used to generate level 2 *** are reliable for surface precipitation rate higher than 0.1 mm/h at 15km resolution,which is in good agreement with those retrieved using the Precipitation retrieval algorithm version 1(ATMP-1)for Advanced Technology Microwave Sounder(ATMS)aboard Suomi NPP satellite.