Enhancing Hydrological Extremes Forecasting Capabilities in Data‐Scarce Regions Through Transfer Learning With Data Augmentation
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DOI: 10.1029/2025ef006060
Abstract: Hydrological extremes forecasting in data‐scarce basins remains a longstanding challenge in hydrological science. Despite significant advancements in transferring hydrological knowledge from data‐rich to data‐sparse basins, such as regionalization techniques for hydrological prediction and novel deep… read more here.
Keywords: transfer learning; extremes forecasting; data scarce; hydrological extremes ... See more keywords