ML4WX

Downscaling & super-resolution

Enhancing Regional Climate Downscaling through Advances in Machine Learning

Neelesh Rampal, Sanaa Hobeichi, Peter B. Gibson, Jorge Baño-Medina, Gab Abramowitz, Tom Beucler, Jose González-Abad, William Chapman, Paula Harder, José Manuel Gutiérrez

Artificial Intelligence for the Earth Systems · · NSF NCAR / UCAR

Paper

In one sentence. Review of machine learning for empirical climate downscaling, covering out-of-distribution generalization, extremes, and a proposed evaluation framework for downscaling algorithms.

Labels

Topic
Downscaling & super-resolution, Benchmarks, datasets & evaluation
Type
Review, survey or tutorial
Time scale
Climate projections / centennial
Domain
Regional
Data
CMIP / climate model output
Status
Research
Identifiers
DOI:10.1175/aies-d-23-0066.1 OpenAlex:W4392550838
Added
2026-10-22

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