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 · 01 August 2022 · 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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