Reproducibility package for a physics-deep learning daily drought forecasting framework

Code, processed daily station data, station-matched CMIP6 auxiliary training contexts, curated manuscript table/figure data, full prediction tables, and model checkpoints for a physics-deep learning hybrid framework for daily drought-index and flash-drought early-risk forecasting across eight stations in the Jinsha River Basin.