Impact of GPM Rainrate Data Assimilation on Simulation of Hurricane Harvey (2017)

Li, Xuanli ; Srikishen, Jayanthi ; Zavodsky, Bradley ; Mecikalski, John

关键词: RAIN;    SNOW;    PRECIPITATION MEASUREMENT;    ASSIMILATION;    DATA SYSTEMS;    FORECASTING;    HURRICANES;    DATA SIMULATION;    MICROWAVE IMAGERY;    METEOROLOGICAL RADAR;    TRMM SATELLITE;    TEMPERATURE DISTRIBUTION;    MOISTURE;   

RP-ID  :  MSFC-E-DAA-TN51235

美国|英语

来源: NASA Technical Reports Server

【 摘 要 】

Built upon Tropical Rainfall Measuring Mission (TRMM) legacy for next-generation global observation of rain and snow. The GPM was launched in February 2014 with Dual-frequency Precipitation Radar (DPR) and GPM Microwave Imager (GMI) onboard. The GPM has a broad global coverage approximately 70deg S -70deg N with a swath of 245/125-km for the Ka (35.5 GHz)/Ku (13.6 GHz) band radar, and 850-km for the 13-channel GMI. GPM also features better retrievals for heavy, moderate, and light rain and snowfall To develop methodology to assimilate GPM surface precipitation data with Grid-point Statistical Interpolation (GSI) data assimilation system and WRF ARW model To investigate the potential and the value of utilizing GPM observation into NWP for operational environment The GPM rain rate data has been successfully assimilated using the GSI rain data assimilation package. Impacts of rain rate data have been found in temperature and moisture fields of initial conditions. 2.Assimilation of either GPM IMERG or GPROF rain product produces significant improvement in precipitation amount and structure for Hurricane Harvey (2017) forecast. Since IMERG data is available half-hourly, further forecast improvement is expected with continuous assimilation of IMERG data