The Effects of Assimilating Satellite Brightness Temperature and Bogus Data on the Simulation of Typhoon Kalmaegi (2008)  

作　　者：王云峰 王斌 费建芳 韩月琪 马刚 

机构地区：[1]Institute of Meteorology and Oceanography, PLA University of Science and Technology [2]LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences [3]Satellite Meteorological Center, China Meteorological Administration

出　　处：《Acta meteorologica Sinica》2013年第3期415-434,共20页

基　　金：Supported by the International Scientific and Technological Cooperation Projects(2010DFA24650);National High-Tech Research and Development(863)Program of China(2010AA012304);China Meteorological Administration Special Public Welfare Research Fund(GYHY201106004);National Natural Science Foundation of China(41230421,41105065,and11271195)

摘　　要：Observational and bogus satellite data are directly assimilated into the Weather Research and Forecast- ing （WRF） model in simulations of Typhoon Kalmaegi （2008）. The data assimilation is performed using the Radiative Transfer for TIROS-N Operational Vertical Sounder （RTTOV） model and the three-dimensional variational data assimilation （3DVAR） technique, with satellite observations taken from the National Oceanic and Atmospheric Administration-16 （NOAA-16） Advanced TIROS Vertical Sounder （ATOVS） system com- posed of the High-resolution Infrared Radiation Sounder （HIRS）, the Advanced Microwave Sounding Unit-A （AMSU-A）, and the Advanced Microwave Sounding Unit-B （AMSU-B）. Data assimilation experiments are initialized at three different times. Improvements in the numerical simulation of the typhoon are discussed in the context of wind, temperature, pressure, and geopotentiM fields. The results indicate that assimilation of satellite data can improve both the representation of the initial conditions and the subsequent simulation of the typhoon. Different satellite data have different impacts on the typhoon track. In these simulations, data from AMSU-A play a greater role in improving the simulation of the typhoon than data from AMSU-B or HIRS. Assimilation of satellite data significantly affects the sim- ulation of the subtropical high and the steering of the typhoon by the environmental flow. The subtropical high is enhanced and extends westward in the data assimilation experiments. The background flow therefore steers the typhoon more westward, improving the simulated typhoon track. Although direct assimilation of satellite brightness temperature improves the simulated environmental conditions, it does not significantly improve the simulated intensity of the typhoon. By contrast, initializing the typhoon simulation using bogus data in tandem with satellite data improves not only the environmental conditions but also the simulated inner-core structure of the typhoon. AssimilationObservational and bogus satellite data are directly assimilated into the Weather Research and Forecast- ing （WRF） model in simulations of Typhoon Kalmaegi （2008）. The data assimilation is performed using the Radiative Transfer for TIROS-N Operational Vertical Sounder （RTTOV） model and the three-dimensional variational data assimilation （3DVAR） technique, with satellite observations taken from the National Oceanic and Atmospheric Administration-16 （NOAA-16） Advanced TIROS Vertical Sounder （ATOVS） system com- posed of the High-resolution Infrared Radiation Sounder （HIRS）, the Advanced Microwave Sounding Unit-A （AMSU-A）, and the Advanced Microwave Sounding Unit-B （AMSU-B）. Data assimilation experiments are initialized at three different times. Improvements in the numerical simulation of the typhoon are discussed in the context of wind, temperature, pressure, and geopotentiM fields. The results indicate that assimilation of satellite data can improve both the representation of the initial conditions and the subsequent simulation of the typhoon. Different satellite data have different impacts on the typhoon track. In these simulations, data from AMSU-A play a greater role in improving the simulation of the typhoon than data from AMSU-B or HIRS. Assimilation of satellite data significantly affects the sim- ulation of the subtropical high and the steering of the typhoon by the environmental flow. The subtropical high is enhanced and extends westward in the data assimilation experiments. The background flow therefore steers the typhoon more westward, improving the simulated typhoon track. Although direct assimilation of satellite brightness temperature improves the simulated environmental conditions, it does not significantly improve the simulated intensity of the typhoon. By contrast, initializing the typhoon simulation using bogus data in tandem with satellite data improves not only the environmental conditions but also the simulated inner-core structure of the typhoon. Assimilation

关 键 词：WRF model bogus data satellite data 3DVAR 

分 类 号：P444[天文地球—大气科学及气象学]