7 papers in the archive.
Nature Communications review of AI for modeling and understanding extreme weather and climate events; abstract absent, judged from title and venue.
Extremes & hazardsInriaMax Planck Institute for BiogeochemistryTechnical University of Munich (TUM)
A statistical GAM emulator predicts local surface temperature responses to tree cover change from ESM output, offering a cheap complement to greenhouse-gas emulators.
Climate emulationETH ZurichKNMI (Royal Netherlands Meteorological Institute)Max Planck Institute for BiogeochemistryMax Planck Institute for Meteorology
Global open datacube and segmentation deep learning model predicting burned areas 8 to 64 days ahead using climate and fire-driver variables.
CFS-SR applies image super-resolution to CFSv2 to give 4 km county-level fire weather forecasts to 7 days, improving accuracy over the western US.
Extremes & hazardsUniversity of WashingtonMax Planck Institute for Biogeochemistry
Deep learning predicts next-day wildfire danger in the Eastern Mediterranean, beating the Fire Weather Index, with explainable AI attributing importance to wetness variables.
Combines an emergent constraint with machine learning to narrow CMIP5 end-of-century GPP to 171 ± 12 Gt C/yr and reduce gridded projection uncertainty.
Climate analysis & attributionColumbia University (LEAP, Lamont-Doherty)Max Planck Institute for Biogeochemistry
Nature review on deep learning for data-driven Earth system science, covering weather, climate and process understanding; abstract absent, judged from title and venue.
Climate analysis & attributionLawrence Berkeley National Laboratory / NERSCMax Planck Institute for BiogeochemistryMax Planck Institute for Meteorology
