作者:Hongyi XIAO,Wei HAN,Hao WANG,Jincheng WANG,Guiqing LIU,Changshan XU
摘要:In this study, Fengyun-3 D(FY-3 D) Micro Wave Radiation Imager(MWRI) radiance data were directly assimilated into the Global/Regional Assimilation and Pr Ediction System(GRAPES) four-dimensional variational(4 DVar) system. Quality control procedures were developed for MWRI applications by using algorithms from similar microwave instruments. Compared with the FY-3 C MWRI, the bias of FY-3 D MWRI observations did not show a clear node-dependent difference from the numerical weather prediction background simulation. A conventional bias correction approach can therefore be used to remove systematic biases before the assimilation of data. After assimilating the MWRI radiance data into GRAPES, the geopotential height and humidity analysis fields were improved relative to the control experiment. There was a positive impact on the location of the subtropical high, which led to improvements in forecasts of the track of Typhoon Shanshan.
发文机构:Numerical Weather Prediction Center National Meteorological Center Tai’an City Meteorological Bureau
关键词:Fengyun-3D(FY-3D)MicrowaveRadiationImager(MWRI)Global/RegionalAssimilationandPrEdictionSystem(GRAPES)four-dimensionalvariational(4DVar)typhoonforecast
分类号: P45[天文地球—大气科学及气象学]