ML4WX

Climate analysis & attribution

Machine learning reveals climate forcing from aerosols is dominated by increased cloud cover

Ying Chen, Jim Haywood, Yu Wang, Florent F. Malavelle, George Jordan, Daniel G. Partridge, Jonathan Edward Fieldsend, Johannes de Leeuw, Anja Schmidt, Nayeong Cho, Lazaros Oreopoulos, Steven E. Platnick et al.

Nature Geoscience · · NASA, Met Office, ETH Zurich, University of Cambridge (Aardvark)

PaperPDF

In one sentence. Machine learning attributes aerosol climate forcing largely to increased cloud cover. Abstract unavailable; judged from the title only.

Labels

Topic
Climate analysis & attribution
Type
Application study
Time scale
Climate projections / centennial
Domain
Global
Data
CMIP / climate model output
Status
Research
Identifiers
DOI:10.1038/s41561-022-00991-6 OpenAlex:W4289261478
Added
2026-10-22

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