paper
2023
Climate analysis & attribution
Extremes & hazardsDownscaling & super-resolution Review, survey or tutorial
Lawrence Berkeley National Laboratory / NERSCNSF NCAR / UCAROak Ridge National LaboratoryUniversity of California, Berkeley Journal
2023-06-14
051
Jun 2023
María J. Molina, Travis Allen O'Brien, Gemma J. Anderson et al.
Artificial Intelligence for the Earth Systems
Lawrence Berkeley National Laboratory / NERSC, NSF NCAR / UCAR, Oak Ridge National Laboratory, University of California, Berkeley
Review of ML for climate variability modes, extreme weather precursors, observation-model integration, downscaling and bias correction, aimed at domain scientists.
Climate analysis & attribution
A Review of Recent and Emerging Machine Learning Applications for Climate Variability and Weather Phenomena
In one sentence. Review of ML for climate variability modes, extreme weather precursors, observation-model integration, downscaling and bias correction, aimed at domain scientists.
Labels
- Topic
- Climate analysis & attribution, Extremes & hazards, Downscaling & super-resolution
- Type
- Review, survey or tutorial
- Domain
- Global, Regional
- Status
- Research
- Identifiers
- DOI:10.1175/aies-d-22-0086.1 OpenAlex:W4380611288
- Added
- 2026-10-22
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