Quantitative Applications of Weather Satellite Data for Nowcasting:Progress and Challenges  

作　　者：Jun LI Jing ZHENG Bo LI Min MIN Yanan LIU Chian-Yi LIU Zhenglong LI WPaul MENZEL Timothy J.SCHMIT John L.CINTINEO Scott LINDSTROM Scott BACHMEIER Yunheng XUE Yayu MA Di DI Han LIN 

机构地区：[1]Innovation Centre for Fengyun Meteorological Satellite(FYSIC),National Satellite Meteorological Centre,China Meteorological Administration,Beijing,100081,China [2]School of Atmospheric Sciences and Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies,Sun Yat-sen University and Southern Laboratory of Ocean Science and Engineering,Zhuhai,519082,China [3]Key Laboratory of Geographic Information Science(Ministry of Education),East China Normal University,Shanghai,200241,China [4]Research Center for Environmental Changes,Academia Sinica,Taipei,11529,China [5]Cooperative Institute for Meteorological Satellite Studies,University of Wisconsin-Madison,Madison,WI,53706,USA [6]Sensors and Calibration Branch,STAR/NESDIS,Madison,WI,53706,USA [7]Wuxi University,Wuxi,214105,China [8]School of Computer Science,Chengdu University of Information Technology,Chengdu,610225,China [9]Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Nanjing University of Information Science&Technology,Nanjing,210044,China [10]Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education,National and Local Joint Engineering Research Center of Satellite Geospatial Information Technology,Fuzhou University,Fuzhou,350108,China

出　　处：《Journal of Meteorological Research》2024年第3期399-413,共15页气象学报（英文版）

基　　金：Supported by the National Natural Science Foundation of China(U2142201 and 42175086).

摘　　要：Monitoring and predicting highly localized weather events over a very short-term period,typically ranging from minutes to a few hours,are very important for decision makers and public action.Nowcasting these events usually relies on radar observations through monitoring and extrapolation.With advanced high-resolution imaging and sounding observations from weather satellites,nowcasting can be enhanced by combining radar,satellite,and other data,while quantitative applications of those data for nowcasting are advanced through using machine learning techniques.Those applications include monitoring the location,impact area,intensity,water vapor,atmospheric instability,precipitation,physical properties,and optical properties of the severe storm at different stages(pre-convection,initiation,development,and decaying),identification of storm types(wind,snow,hail,etc.),and predicting the occurrence and evolution of the storm.Satellite observations can provide information on the environmental characteristics in the preconvection stage and are very useful for situational awareness and storm warning.This paper provides an overview of recent progress on quantitative applications of satellite data in nowcasting and its challenges,and future perspectives are also addressed and discussed.

关 键 词：weather satellite quantitative applications NOWCASTING pre-convection 

分 类 号：P45[天文地球—大气科学及气象学]