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February 2, 2026Geophysical Research Letters0 citationsOpen Access

How Can FengYun—3G Satellite Precipitation Radar and Microwave Imager Unveil Multi—Phase Hydrometeors?

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LHLinjun HanFWFuzhong WengXHXiuqing Hu

Key Points

  • This study aims to utilize satellite observations to derive multi-phase hydrometeors in clouds enhances accuracy.
  • Used precipitation measurement radar (PMR) and microwave radiation imager (MWRI-RM) data.
  • Developed a retrieval algorithm based on advanced radiative transfer modeling system (ARMS).
  • Incorporated PMR-derived data for improved cloud parameter retrieval.
  • Rainwater content profile increased by approximately 25% in high-rainwater regions.
  • Graupel water path decreased by around 17%.
  • Showed improved accuracy in hydrometeor distribution due to radar-informed retrieval.

Abstract

Abstract The observations from Precipitation Measurement Radar (PMR) and Microwave Radiation Imager (MWRI‐RM) onboard FengYun‐3G satellite are first time utilized to derive multi‐phase hydrometeors in clouds. The FY‐3G hydrometeor retrieval algorithm utilizes the Advanced Radiative Transfer Modeling System (ARMS) as its core module. It incorporates PMR‐derived graupel and rainwater data as first guess for retrieving cloud parameters from MWRI‐RM observations. Since the ARMS includes the graupel in its forward simulations, FY‐3G algorithm can retrieve more accurate distributions of graupel water and rain water through radar‐informed 1D‐Var retrieval (One‐dimensional variational). After incorporating the PMR results, it becomes evident that the profile of rainwater content has increased with the more detail vertical structures. In a high‐value region of rainwater path, the magnitude increases about 25% from 4 mm of MWRI‐RM value. Meanwhile, the graupel water path decreases about 17% from 0.8 mm.

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Cite This Study

Han et al. (2026) studied this question.

synapsesocial.com/papers/6980ffb4c1c9540dea812683https://doi.org/10.1029/2025gl116851
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