Foundational Dataset for Developing Large-Sample Stream Temperature Models in the Conterminous United States
DATASET ZIP 10.21951/RiTHyMs_V1/2587036
This dataset provides inputs, evaluation results, and trained weights from a large-sample Long Short-Term Memory (LSTM) model designed to predict daily stream temperatures across unregulated river reaches in the conterminous United States (CONUS). It includes dynamic meteorological and hydrologic forcings, static physiographic attributes, and model outputs from cross-validation experiments spanning 300 basins. It supports reproducible […]