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D17.1 Report on generative ML methodology
Niklas Boers (Potsdam Institute for Climate Impact Research, Technical University of Munich), Michael Aich (Technical University of Munich)
Zenodo (CERN European Organization for Nuclear Research)
DOI: 10.5281/zenodo.22109056 (Environmental Science)
Licence : CC BY
Résumé : Task 17.1 developed generative machine-learning methodology for bias correction and downscaling of Earth System Model (ESM) fields, with the specific requirements of palaeoclimate applications in mind.
Publié le 26 Aoû. 2026