Effects of Joint Assimilation of FY-4A AGRI and Ground-based Microwave Radiometer on a Heavy Rainfall in Kaifeng Area of Central China in the Summer of 2022
Jianbin Zhang,
Zhiqiu Gao,
Yubin Li
et al.
Abstract:This study aims to evaluate the combined assimilation of AGRI infrared radiance and ground-based MWR (Microwave Radiometer) data for predicting short-duration heavy rainfall. The WRFDA 4.3 framework is utilized to establish the data assimilation interface. The structural characteristics of this joint assimilation approach are analyzed using a typical heavy rainfall event in the Kaifeng region of Central China. The findings indicate the following: (1) The joint assimilation of FY-4A AGRI and ground-based MWR da… Show more
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