Impact of FY-3D MWRI Radiance Assimilation in GRAPES 4DVar on Forecasts of Typhoon Shanshan  

作　　者：Hongyi XIAO Wei HAN Hao WANG Jincheng WANG Guiqing LIU Changshan XU 

机构地区：[1]Numerical Weather Prediction Center,China Meteorological Administration,Beijing 100081 [2]National Meteorological Center,China Meteorological Administration,Beijing 100081 [3]Tai’an City Meteorological Bureau,Shandong Meteorological Bureau,Tai’an 271000

出　　处：《Journal of Meteorological Research》2020年第4期836-850,共15页气象学报（英文版）

基　　金：Supported by the National Natural Science Foundation of China(41675108);National Key Research and Development Program(2018YFC1506700);Second Tibetan Plateau Scientific Expedition and Research Program(2019QZKK0105)。

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.

关 键 词：Fengyun-3D(FY-3D) Microwave Radiation Imager(MWRI) Global/Regional Assimilation and Pr Ediction System(GRAPES) four-dimensional variational(4DVar) typhoon forecast 

分 类 号：P457.8[天文地球—大气科学及气象学]