AINeutralarXiv – CS AI · 7h ago5/10
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Evaluating Transformer and LSTM Frameworks for Prediction in Ungauged Basins
Researchers compared Transformer and LSTM neural network architectures for predicting streamflow in ungauged watersheds using data from NOAA's National Water Model. The study found that LSTM models outperformed Transformer models for upstream streamflow inference, though incorporating downstream hydrologic information improved performance across all architectures by over 60%.