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Critical Southern Ocean climate model biases traced to atmospheric model cloud errors

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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