BEIJING -- A group of Chinese researchers has cooperated with global counterparts in proposing a hybrid downscaling model for deriving high-resolution and high-accuracy precipitation data at a daily ...
Abstract: Influenced by the characteristics of strong nonlinearity, large fluctuation and scarcity of extreme events in the rainfall process, traditional models often suffer from low accuracy and poor ...
Explainable Dual-Model Framework for Rainfall Anomaly Detection using SHAP-Enhanced Machine Learning
Abstract: Extremes in rainfall caused by climate present increasingly serious threats to agricultural economies and water resource systems, but traditional techniques of identifying anomalies remain ...
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