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| Research on high spatiotemporal resolution remote sensing precipitation products integrating multisource data |
| Luo Yuang1, Du Baolong2, Li Xiang1, Jian Wanlin1, Wang Xie3, Liu Zhenyu4 |
1. Sichuan Meteorological Observation Data Center,Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province,Chengdu 610000;
2. Harbin University,Harbin 150086;
3. Mianyang Meteorological Administration,Mianyang 621099;
4. Meteorological Observation Center of China Meteorological Administration,Beijing 100000 |
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Abstract The article is based on GPM IMERG precipitation fusion data,and introduces high spatiotemporal resolution Himawari-8 geostationary satellite data,as well as ground rain gauge and radar rainfall data,to develop stationary satellite precipitation recognition and inversion algorithms,IMERG coarse resolution precipitation data downscaling algorithms,and improve satellite remote sensing and ground rain gauge data fusion algorithms.Using the improved multi-source data fusion model,the accuracy of microwave polar orbit satellite precipitation data and the high spatiotemporal resolution of geostationary satellite data are fully utilized to fuse and generate precipitation rate data products with spatial resolution of 0.05° and temporal resolution of 10 min,thereby improving the monitoring efficiency of disaster weather such as typhoons and tropical storms.And monitoring and analysis were conducted on the heavy rainfall caused by tropical storm "Bebinca" in Thailand,and the spatial distribution inversion results were consistent with the released storm trajectory.
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Received: 07 July 2025
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2026, Vol. 43 
