TROPICAL CYCLOGENESIS DETECTION IN NWP AT KMA

作     者：Woojeong Lee KiRyong Kang Jiyoung Kim Kun-Young Byun Jong Sook Park Seonghee Won Yunho Park WonTae Yun 

作者机构：National Typhoon CenterKorea Meteorological AdministrationJejuKorea Weather Radar CenterKorea Meteorological AdministrationSeoulKorea Global Environment System Research DivisionNational Institute Meteorological ResearchKorea Meteorological AdministrationJejuKorea Foreast Research DivisionNational Institute Meteorological ResearchKorea Meteorological AdministrationJejuKorea Numerical Model Development DivisionKorea Meteorological AdministrationSeoulKorea 

出 版 物：《Tropical Cyclone Research and Review》 (热带气旋研究与评论（英文版）)

年 卷 期：2014年第3卷第4期

页      面：256-269页

学科分类：07[理学] 070601[理学-气象学] 0706[理学-大气科学] 

基　　金：supported by the project“Management of National Typhoon Center”and“Development and ap-plication of technology for weather forecast”funded by KMA 

主　　题：tropical cyclone genesis detection numerical weather prediction 

摘      要：In this study,a tropical cyclogenesis detection system,Tropical Cyclone Analysis&Forecast(TCAF),was evaluated with an operational numerical model of the Korea Meteorological Administration(KMA).The tracking performance was compared with the result with the ECMWF model input field(TCAF-ECMWF).In order to improve the performance,different tracking time at an interval of 6 hours were *** lowest false alarm rate and the highest hit rate(correct detection)were achieved at 06 hour after the initial tracking *** tracking performance was also tested on two typhoons in 2013,LEEPI(1304)and DANAS(1324).The results showed that the TCAF-ECMWF detected tropical depressions 72 hours before the formation of the typhoon DANAS,which is a 12-hour earlier detection compared with the current performance with the use of KMA’s numerical weather prediction(NWP)model ***,it is expected that TC genesis detection could be improved by determining an optimal tracking time and by using more accurate NWP model data.