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Abstract:
With intense climate change and rapid urbanization, extreme precipitation events have threatened the sustainable development of cities. Due to the advantages of wide spatial range, high spatiotemporal resolution and free download, satellite precipitation products have become a potential choice for extreme precipitation monitoring and hydrological simulation. For the application over different urban areas, it is important to investigate the performance of different satellite precipitation products. This study evaluated five hourly satellite precipitation products in capturing extremes: the Integrated Multi-satellite Retrievals for GPM (IMERG), Climate Prediction Center Morphing Technique (CMORPH), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN), the Global Satellite Mapping of Precipitation (GSMaP) and Fengyun 2 Meteorological Satellite Series (FY2). Based on the observations in Beijing, statistical metrics, categorical skill metrics and extreme precipitation indices were selected and analyzed. Results showed that IMERG had the highest accuracy, and all five products underestimated extreme precipitation. The performance was well in summer while worse in winter. Our study would provide some significant reference for developers and potential users in Beijing or other similar regions.
