Author
Listed:
- Patrick Hyder
(Met Office Hadley Centre)
- John M. Edwards
(Met Office Hadley Centre)
- Richard P. Allan
(University of Reading
University of Reading)
- Helene T. Hewitt
(Met Office Hadley Centre)
- Thomas J. Bracegirdle
(British Antarctic Survey)
- Jonathan M. Gregory
(Met Office Hadley Centre
University of Reading)
- 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
University of Leeds)
- 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
(University of Reading
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
(University of Vienna)
- David I. Berry
(National Oceanography Centre)
- Stephen E. Belcher
(Met Office Hadley Centre)
Abstract
The Southern Ocean is a pivotal component of the global climate system yet it is poorly represented in climate models, with significant biases in upper-ocean temperatures, clouds and winds. Combining Atmospheric and Coupled Model Inter-comparison Project (AMIP5/CMIP5) simulations, with observations and equilibrium heat budget theory, we show that across the CMIP5 ensemble variations in sea surface temperature biases in the 40–60°S Southern Ocean are primarily caused by AMIP5 atmospheric model net surface flux bias variations, linked to cloud-related short-wave errors. Equilibration of the biases involves local coupled sea surface temperature bias feedbacks onto the surface heat flux components. In combination with wind feedbacks, these biases adversely modify upper-ocean thermal structure. Most AMIP5 atmospheric models that exhibit small net heat flux biases appear to achieve this through compensating errors. We demonstrate that targeted developments to cloud-related parameterisations provide a route to better represent the Southern Ocean in climate models and projections.
Suggested Citation
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, 2018.
"Critical Southern Ocean climate model biases traced to atmospheric model cloud errors,"
Nature Communications, Nature, vol. 9(1), pages 1-17, December.
Handle:
RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-05634-2
DOI: 10.1038/s41467-018-05634-2
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