Caravan-CMIP6: Bias-corrected climate model projections for ten large-sample hydrometeorological datasets and over 23,000 global catchments

Abstract. This data paper introduces Caravan-CMIP6, a dataset of climate change projections for large-sample hydrologic studies. Caravan-CMIP6 includes projections from an ensemble of 12 climate models from the sixth Coupled Model Intercomparison Project (CMIP6), for the historical experiment (1850–2014) and three Shared Socio-economic Pathways (SSPs). The dataset includes projections for all catchments within ten large-sample hydrometeorological datasets: Caravan, CAMELS, CAMELS-AUS-v2, CAMELS-BR, CAMELS-CH CAMELS-CL, CAMELS-COL, CAMELS-DE, CAMELS-GB-v2, CAMELS-IND. For each large-sample hydrometeorological dataset, I provide CMIP6 projections for all meteorological variables that can be readily extracted from climate models, including precipitation, temperature, evapotranspiration, humidity, radiation, pressure, and wind speed. I bias-correct the climate model output to match the observed climatology within each dataset. This dataset can facilitate the use of large-sample hydrologic datasets and models for climate change projection. All raw and bias-corrected data are available at https://doi.org/10.20383/103.01644.