Abstract: Extreme precipitation events greatly threaten people's daily lives and safety, making accurate and timely precipitation estimation especially critical. However, common methods like radar and ...
Abstract: Accurate representation of the spatiotemporal distribution of precipitation is critical to climate and hydrology fields. Data-driven methods based on machine learning have exhibited the ...
Hydrological models represent water movement in natural systems, and they are important for water resource planning and management. But the models depend on reliable input data for weather factors, ...
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