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Physics-Informed AI Tackles Drought Forecasting in a Stressed Transboundary
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Physics-Informed AI Tackles Drought Forecasting in a Stressed Transboundary
A new study tests a Transformer-based physics-informed neural network against support vector regression for forecasting hydrological drought in the transboundary Zabol Basin, finding excellent seasonal-scale performance but persistent failure at medium-term non-stationary prediction.
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