Evaluating Transformer and LSTM Frameworks for Prediction in Ungauged Basins

In three linesComparative study of encoder-only Transformer vs LSTM for streamflow prediction in ungauged basins. On NOAA NWM data, LSTM outperforms Transformer. Incorporating downstream information improves all models (+60% median NNSE). Recurrent memory proves better suited for this hydrologic inference task.

Summary generated by Claude — human-verified