Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing 210044, China.
Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province, Chengdu 610225, China.
Sensors (Basel). 2020 May 8;20(9):2674. doi: 10.3390/s20092674.
The module of assimilating a new GMI (GPM Microwave Imager) satellite detector was built in the framework of the Weather Research and Forecasting Model (WRF) and its three-dimensional variational (3DVar) data assimilation system (WRFDA). Typhoon "Chan-Hom" in the 2015 Pacific typhoon season was selected to verify the effectivity of the GMI clear-sky assimilation. The results show that, after assimilating the GMI radiance data, the background information in the model is modified positively when compared with the experiment without any assimilation and the one with assimilation of the conventional data. The obvious warm core structure of the typhoon, the modified geopotential height field, and the intensified circulation of the typhoon are favorable for the northwest twist of the typhoon, thus contributing to a better track forecast with a maximum error below 160 km in the 48-h deterministic forecast.
同化新型 GMI（GPM 微波成像仪）卫星探测器的模块是在天气研究和预报模型（WRF）及其三维变分（3DVar）数据同化系统（WRFDA）的框架内构建的。选择 2015 年太平洋台风季的“Chan-Hom”台风来验证 GMI 晴空同化的效果。结果表明，同化 GMI 辐射率数据后，与无同化实验和常规数据同化实验相比，模式的背景信息得到了积极修正。台风的明显暖核结构、修正的位势高度场以及台风环流的加强有利于台风向西北方向扭转，从而有助于在 48 小时确定性预报中最大误差低于 160 公里的更好的轨迹预报。
