Data used in "Probabilistic storyline attribution using machine learning"

Data used in "Probabilistic storyline attribution using machine learning" and Data used in the extended abstract "Towards a distributional autoencoder for climate counterfactuals" submitted to the Climate Informatics 2026 conference. CESM2 LE Data The data is derived from the Community Earth System Model 2 Large Ensemble (CESM2 LE), which can be accessed through https://gdex.ucar.edu/datasets/d651056/ (Danabasoglu, G., Deser, C., Rodgers, K., and Timmermann, A.: CESM2 Large Ensemble, NSF National Center for Atmospheric Research [data set], https://doi.org/10.26024/kgmp-c556, 2020b.) europe_10percent_masked_stacked_TREFHT_JJA.nc pcsts_and_fGMT_not_standardized_LE.nc Individual CESM2 Simulations Freely running simulations This data is derived from freely running CESM2 simulations that are accessible through: https://doi.org/10.5281/zenodo.18172330 ETH_europe_10percent_masked_stacked_TREFHT_JJA.nc pcsts_and_fGMT_not_standardized_ETH.nc This is one individual freely running CESM2 simulation (from https://doi.org/10.5281/zenodo.18172330). TREFHT_day_b.e212.BHISTcmip6andSSP370cmip6.f09_g17.1300.nc Nudged circulation simulations This data is derived from circulation nudged CESM2 simulations that are accessible through: https://doi.org/10.5281/zenodo.18172330 ETH_europe_10percent_masked_stacked_TREFHT_nudged_JJA.nc This data is derived from a CESM2 simulation nudged to ERA5 horizontal winds. We acknowledge István Dunkl et al. for this dataset. ERA5_factual_nudged_europe_10percent_masked_TREFHT_JJA.nc Climatologies This is the 1850-1900 5-day mean temperatures climatology. merged_TREFHT_nudged_1940-2015_clim.nc merged_TSA_fact_nudged_1940-2024_clim.nc TREFHT_day_b.e212.BHISTcmip6_BSSP370cmip6.f09_g17.1300_1850-2100_clim.nc