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

Chen, Y., Haywood, J., Wang, Y. et al. (12 more authors) (2022) Publisher Correction: Machine learning reveals climate forcing from aerosols is dominated by increased cloud cover. Nature Geoscience, 15 (10). 854. ISSN 1752-0894

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Chen, Y.
  • Haywood, J.
  • Wang, Y.
  • Malavelle, F.
  • Jordan, G.
  • Partridge, D.
  • Fieldsend, J.
  • De Leeuw, J.
  • Schmidt, A.
  • Cho, N.
  • Oreopoulos, L.
  • Platnick, S.
  • Grosvenor, D.
  • Field, P. ORCID logo https://orcid.org/0000-0001-8528-0088
  • Lohmann, U.
Commentary on: Chen, Y., Haywood, J., Wang, Y. et al. (12 more authors) (2022) Machine learning reveals climate forcing from aerosols is dominated by increased cloud cover. Nature Geoscience, 15 (8). pp. 609-614. ISSN 1752-0894
Dates:
  • Published (online): 17 August 2022
  • Published: October 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds)
Funding Information:
Funder
Grant number
NERC (Natural Environment Research Council)
NE/T006897/1
Depositing User: Symplectic Publications
Date Deposited: 24 Jun 2025 08:40
Last Modified: 24 Jun 2025 08:43
Published Version: https://www.nature.com/articles/s41561-022-01027-9
Status: Published
Publisher: Springer Nature
Identification Number: 10.1038/s41561-022-01027-9
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 13: Climate Action
Open Archives Initiative ID (OAI ID):

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