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Showing 1 of 1 event- An explainable deep learning framework for torrential rainfall forecasting in Guangdong: Accuracy gains and physical insights
A peer-reviewed article published 2026-10-01 describes an explainable deep-learning method aimed at forecasting heavy rainfall in Guangdong and reports accuracy improvements and physical insights. The supplied excerpt contains only publisher and content-type metadata and includes no methodological or result details.
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