ISSN 1000-0526
CN 11-2282/P
CN 11-2282/P
Archive > Volume 51 Issue 11 > 2025,51(11):1367-1382. DOI:10.7519/j.issn.1000-0526.2025.081001 Prev Next
Preliminary Study on the Development and Data Fusion Application of China’s Weather Radar Network and FY-3G Precipitation Satellite
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Abstract:
China has established the world’s largest ground-based multi-band weather radar network and successfully launched its first active radar precipitation measurement satellite, the third of its kind globally, achieving world-class overall technical capabilities. Weather radars and precipitation satellites are crucial components of the integrated space-ground precipitation observation network, and are key technical support for accurately capturing precipitation dynamics and comprehensively analyzing precipitation characteristics. While weather radars offer high spatiotemporal resolution, their coverage is geographically constrained, limiting continuous global observation. Spaceborne precipitation radars can provide three-dimensional precipitation structure information over global mid-to-low latitudes, particularly over the regions difficult to be covered by ground-based equipment, such as in oceans and plateaus. The fusion application of space-ground integrated systems achieves an organic combination of continuous large-scale precipitation monitoring and refined detection of local precipitation features, which can provide more precise and comprehensive data support and decision-making basis for meteorological forecasting, disaster warning, and water resource management. This paper introduces the technical characteristics, operational quality, and data products of the multi-band weather radar network and the FY-3G precipitation satellite in China in detail. It also presents preliminary thoughts and prospects on collaborative observation and the fusion and application of the fundamental data from China’s weather radar network and FY-3G precipitation satellite in four aspects: (1) the cross validation of satellite-ground radar reflectivity factor, (2) data fusion of satellite-ground radar reflectivity factor, (3) the simulation of ground-based radar signals using geostationary satellite data, and (4) the fusion of active/passive microwave and geostationary satellite infrared data.
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