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Interpretation of cloud-climate feedback as produced by 14 atmospheric general circulation models

  • R. D. Cess
  • , G. L. Potter
  • , J. P. Blanchet
  • , G. J. Boer
  • , S. J. Ghan
  • , J. T. Kiehl
  • , H. Le Treut
  • , Z. X. Li
  • , X. Z. Liang
  • , J. F.B. Mitchell
  • , J. J. Morcrette
  • , D. A. Randall
  • , M. R. Riches
  • , E. Roeckner
  • , U. Schlese
  • , A. Slingo
  • , K. E. Taylor
  • , W. M. Washington
  • , R. T. Wetherald
  • , I. Yagai
  • Stony Brook University
  • Lawrence Livermore National Laboratory
  • Meteorological Research Branch
  • National Center for Atmospheric Research
  • Université Pierre et Marie Curie
  • Institute of Atmospheric Physics Chinese Academy of Sciences
  • Now at Met Office Hadley Centre
  • European Centre for Medium-Range Weather Forecasts
  • Cooperative Institute for Research in the Atmosphere
  • U.S. Department of Energy
  • Universität Hamburg
  • Princeton University
  • JMA Meteorological Research Institute

Research output: Contribution to journalArticlepeer-review

Abstract

Understanding the cause of differences among general circulation model projections of carbon dioxide-induced climatic change is a necessary step toward improving the models. An intercomparison of 14 atmospheric general circulation models, for which sea surface temperature perturbations were used as a surrogate climate change, showed that there was a roughly threefold variation in global climate sensitivity. Most of this variation is attributable to differences in the models' depictions of cloud-climate feedback, a result that emphasizes the need for improvements in the treatment of clouds in these models if they are ultimately to be used as climatic predictors.

Original languageEnglish
Pages (from-to)513-516
Number of pages4
JournalScience
Volume245
Issue number4917
DOIs
Publication statusPublished - 1 Jan 1989

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

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