A collection of 61,380 pre-trained LSTM models for daily streamflow forecasting across 620 USGS catchments from the CAMELS dataset.
Each catchment has 99 independently trained models:
33 wavelet filters × 3 lead times (1, 3, 5 days) = 99 wavelet-enhanced models
33 matching baseline models (same architecture, no wavelet transform)
Models are designed to be ensembled across wavelets for robust predictions with uncertainty estimates.… See the full description on the dataset page:
https://huggingface.co/datasets/johnswyou/wavelet-lstm-camels-models.
