气象2016，Vol.42Issue(6)：649-663,15.DOI:10.7519/j.issn.1000-0526.2016.06.001
雷达径向风和反演风联合同化在台风灿都（2010）数值预报中的研究
A Combined Radar Data Assimilation Strategy of Radial Velocity and Retrieved Wind and Its Impact on the Forecasting of Tropical Cyclone Chanthu (2010)
摘要
Abstract
Based on WRF model and the Hybrid ensemble-3Dvar data assimilation system,this study com-pares radar radial velocity (Vr )assimilation with T-TREC (Typhoon-Tracking radar echoes by correla-tion)retrieved wind data assimilation and their impacts on the analyses and forecasts of tropical cyclone (TC)“Chanthu (2010)”.In addition to the cycling strategy ofVr assimilation and T-TREC wind data as-similation,a combined radar data assimilation strategy is proposed,which assimilates T-TREC winds at the first cycle and assimilates Vr data during the rest cycles.Concerning the respective advantages of two types of radar wind,the new cycling strategy aims at exploring the suitable radar data assimilation strategy for the forecasting of landfalling TCs.Comparing three different cycling strategies,the cycled assimilation of Vr data requires more analysis cycles,which leads to delayed starting time for the deterministic forecast. <br> By contrast,the assimilation of T-TREC data produces better analyses and intensity forecasts than the as-similation of Vr data during the earlier assimilation,due to the larger data coverage and more complete wind fields for TC circulation.However,as the T-TREC winds contain retrieved errors,the increase of analysis cycles leads to degraded TC forecast.When the two types of radar wind data are jointly used,the combined radar data assimilation strategy provides favorable forecast results no matter how long the analysis cycles are.关键词
台风/Hybrid集合-变分同化/径向速度同化/T-TREC反演风同化/雷达风场联合同化Key words
typhoon/Hybrid ensemble-3Dvar/radial velocity data assimilation/T-TREC wind data assimi-lation/combined radar data assimilation分类
天文与地球科学引用本文复制引用
李昕,王元,明杰,梅海霞,王文兰,周嘉陵..雷达径向风和反演风联合同化在台风灿都（2010）数值预报中的研究[J].气象,2016,42(6):649-663,15.基金项目
“十二五”国家科技支撑计划（2014BAG01B01）、国家重点基础研究发展计划（973计划）（2015CB452801）、江苏省青年气象科研基金（Q201514、Q201407）、山东省气象科学研究所开放研究基金项目（SDQXKF2015M10）、江苏省科技支撑计划项目（BE2013730）、江苏省气象科研基金项目（KZ201502，KZ201202）共同资助 （）
