ML4WX

Benchmarks, datasets & evaluation

Identifying and Categorizing Bias in AI/ML for Earth Sciences

Amy McGovern, A. Bostrom, Marie McGraw, Randy J. Chase, David John Gagne, Imme Ebert-Uphoff, Kate D. Musgrave, Andrea Schumacher

Bulletin of the American Meteorological Society · · Colorado State University (incl. CIRA), NSF NCAR / UCAR, University of Oklahoma (AI2ES), University of Washington

PaperPDF

In one sentence. The authors propose a categorization of bias in AI for Earth system prediction, illustrating each bias type with examples across weather and climate tasks.

Labels

Topic
Benchmarks, datasets & evaluation
Type
Position or perspective paper
Domain
Global
Data
Other
Status
Research
Identifiers
DOI:10.1175/bams-d-23-0196.1 OpenAlex:W4391101805
Added
2026-10-22

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