This dataset contains the ESSD benchmark output data. Visit https://github.com/EUPP-benchmark/ESSD-benchmark for more information. This dataset is provided as supplementary material with: Demaeyer, J., Bhend, J., Lerch, S., Primo, C., Van Schaeybroeck, B., Atencia, A., Ben Bouallègue, Z., Chen, J., Dabernig, M., Evans, G., Faganeli Pucer, J., Hooper, B., Horat, N., Jobst, D., Merše, J., Mlakar, P., Möller, A., Mestre, O., Taillardat, M., and Vannitsem, S.: The EUPPBench postprocessing benchmark dataset v1.0, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2022-465, in review, 2023. Please cite this article if you use (a part of) this code for a publication. Description of the methods used to get the ESSD benchmark output data ------------------------------------------------------------------------------------------------------- - ANET: NN post processing method using ensemble member encoders and dynamic attention Repository: https://github.com/EUPP-benchmark/ESSD-ANET - AR-EMOS: EMOS with heteroscedastic autoregressive error adjustments Repository: https://github.com/EUPP-benchmark/ESSD-AR-EMOS - ASRE: Accounting for systematic and representativeness errors Repository: https://github.com/EUPP-benchmark/ESSD-ASRE - DRN: Distributional regression network Repository: https://github.com/EUPP-benchmark/ESSD-DRN - DVQR: D-vine copula based postprocessing Repository: https://github.com/EUPP-benchmark/ESSD-D-Vine-Copula - EMOS: Ensemble model output statistics Repository: https://github.com/EUPP-benchmark/ESSD-EMOS - RC: Reliability Calibration (IMPROVER) Repository: https://github.com/EUPP-benchmark/ESSD-reliability-calibration - MBM: Member-By-Member postprocessing Repository: https://github.com/EUPP-benchmark/ESSD-mbm