ML4WX

Benchmarks, datasets & evaluation

Reanalyses in the Age of Machine Learning: Why Dataset Curation Matters Now More than Ever

M. D. Abel, Alexander J. Thompson, E. D. Gutmann, Kelly M. Mahoney, Rachel McCrary, Russ S. Schumacher, Laura Slivinski

Bulletin of the American Meteorological Society · · Colorado State University (incl. CIRA), NSF NCAR / UCAR, NOAA (incl. GFDL, PSL, GSL, NCEP/EMC)

PaperPDF

In one sentence. Essay arguing reanalysis should be reserved for assimilation-based datasets, since ML models trained on loosely defined reanalyses can inherit flaws.

Labels

Topic
Benchmarks, datasets & evaluation
Type
Position or perspective paper
Domain
Global
Data
ERA5 / reanalysis
Status
Research
Identifiers
DOI:10.1175/bams-d-25-0149.1 OpenAlex:W7139111677
Added
2026-10-22

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