Nature Communications (Sep 2018)
Critical Southern Ocean climate model biases traced to atmospheric model cloud errors
- Patrick Hyder,
- John M. Edwards,
- Richard P. Allan,
- Helene T. Hewitt,
- Thomas J. Bracegirdle,
- Jonathan M. Gregory,
- Richard A. Wood,
- Andrew J. S. Meijers,
- Jane Mulcahy,
- Paul Field,
- Kalli Furtado,
- Alejandro Bodas-Salcedo,
- Keith D. Williams,
- Dan Copsey,
- Simon A. Josey,
- Chunlei Liu,
- Chris D. Roberts,
- Claudio Sanchez,
- Jeff Ridley,
- Livia Thorpe,
- Steven C. Hardiman,
- Michael Mayer,
- David I. Berry,
- Stephen E. Belcher
Affiliations
- Patrick Hyder
- Met Office Hadley Centre
- John M. Edwards
- Met Office Hadley Centre
- Richard P. Allan
- Department of Meteorology, University of Reading
- Helene T. Hewitt
- Met Office Hadley Centre
- Thomas J. Bracegirdle
- British Antarctic Survey
- Jonathan M. Gregory
- Met Office Hadley Centre
- Richard A. Wood
- Met Office Hadley Centre
- Andrew J. S. Meijers
- British Antarctic Survey
- Jane Mulcahy
- Met Office Hadley Centre
- Paul Field
- Met Office Hadley Centre
- Kalli Furtado
- Met Office Hadley Centre
- Alejandro Bodas-Salcedo
- Met Office Hadley Centre
- Keith D. Williams
- Met Office Hadley Centre
- Dan Copsey
- Met Office Hadley Centre
- Simon A. Josey
- National Oceanography Centre
- Chunlei Liu
- Department of Meteorology, University of Reading
- Chris D. Roberts
- Met Office Hadley Centre
- Claudio Sanchez
- Met Office Hadley Centre
- Jeff Ridley
- Met Office Hadley Centre
- Livia Thorpe
- Met Office Hadley Centre
- Steven C. Hardiman
- Met Office Hadley Centre
- Michael Mayer
- Department of Meteorology and Geophysics, University of Vienna
- David I. Berry
- National Oceanography Centre
- Stephen E. Belcher
- Met Office Hadley Centre
- DOI
- https://doi.org/10.1038/s41467-018-05634-2
- Journal volume & issue
-
Vol. 9,
no. 1
pp. 1 – 17
Abstract
The Southern Ocean is critically important for global climate yet poorly represented by climate models. Here the authors trace sea surface temperature biases in this region to cloud-related errors in atmospheric-model simulated surface heat fluxes and provide a pathway to improve the models.
