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

Journal Article · · Science (Washington, D.C.); (USA)
 [1]; ; ;  [2]; ;  [3]; ; ;  [4]; ;  [5];  [6];  [7];  [8];  [9];  [10]; ;  [11];  [12];  [13]
  1. State Univ. of New York, Stony Brook (USA)
  2. Lawrence Livermore National Lab., CA (USA)
  3. Canadian Climate Centre, Downsview, Ontario (Canada)
  4. National Center for Atmospheric Research, Boulder, CO (USA)
  5. Laboratoire de Meteorologie Dynamique, Paris (France)
  6. Institute of Atmospheric Physics, Beijing (China)
  7. United Kingdom Meteorological Office, Berkshire (England)
  8. European Centre for Medium-Range Weather Forecasts, Berkshire (England)
  9. Colorado State Univ., Fort Collins (USA)
  10. Dept. of Energy, Washington, DC (USA)
  11. Univ. of Hamburg (Germany, F.R.)
  12. Princeton Univ., NJ (USA)
  13. Meteorological Research Institute of Japan, Ibaraki-Ken (Japan)
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. 14 refs., 1 fig., 2 tabs.
DOE Contract Number:
W-7405-ENG-48
OSTI ID:
6997439
Journal Information:
Science (Washington, D.C.); (USA), Journal Name: Science (Washington, D.C.); (USA) Vol. 245:4917; ISSN SCIEA; ISSN 0036-8075
Country of Publication:
United States
Language:
English