Improving the Analyses and Forecasts of a Tropical Squall Line Using Upper Tropospheric Infrared Satellite Observations  

作　　者：Man-Yau CHAN Xingchao CHEN 

机构地区：[1]Department of Meteorology and Atmospheric Science,and Center for Advanced Data Assimilation and Predictability Techniques,The Pennsylvania State University,University Park,Pennsylvania,PA 16802,USA

出　　处：《Advances in Atmospheric Sciences》2022年第5期733-746,共14页大气科学进展（英文版）

基　　金：supported by ONR Grant N00014-18-1-2517.

摘　　要：The advent of modern geostationary satellite infrared radiance observations has noticeably improved numerical weather forecasts and analyses.However,compared to midlatitude weather systems and tropical cyclones,research into using infrared radiance observations for numerically predicting and analyzing tropical mesoscale convective systems remain mostly fallow.Since tropical mesoscale convective systems play a crucial role in regional and global weather,this deficit should be addressed.This study is the first of its kind to examine the potential impacts of assimilating all-sky upper tropospheric infrared radiance observations on the prediction of a tropical squall line.Even though these all-sky infrared radiance observations are not directly affected by lower-tropospheric winds,the high-frequency assimilation of these all-sky infrared radiance observations improved the analyses of the tropical squall line’s outflow position.Aside from that,the assimilation of all-sky infrared radiance observations improved the analyses and prediction of the squall line’s cloud field.Finally,reducing the frequency of assimilating these all-sky infrared radiance observations weakened these improvements to the analyzed outflow position,as well as the analyses and predictions of cloud fields.

关 键 词：data assimilation infrared satellite observations numerical weather prediction mesoscale convective systems tropical meteorology 

分 类 号：P412.27[天文地球—大气科学及气象学]