Passer à la navigation principale Passer à la recherche Passer au contenu principal

Comparison of the seasonal change in cloud-radiative forcing from atmospheric general circulation models and satellite observations

  • R. D. Cess
  • , M. H. Zhang
  • , G. L. Potter
  • , V. Alekseev
  • , H. W. Barker
  • , S. Bony
  • , R. A. Colman
  • , D. A. Dazlich
  • , A. D. Del Genio
  • , M. Déqué
  • , M. R. Dix
  • , V. Dymnikov
  • , M. Esch
  • , L. D. Fowler
  • , J. R. Fraser
  • , V. Galin
  • , W. L. Gates
  • , J. J. Hack
  • , W. J. Ingram
  • , J. T. Kiehl
  • Y. Kim, H. Le Treut, X. Z. Liang, B. J. McAvaney, V. P. Meleshko, J. J. Morcrette, D. A. Randall, E. Roeckner, M. E. Schlesinger, P. V. Sporyshev, K. E. Taylor, B. Timbal, E. M. Volodin, W. Wang, W. C. Wang, R. T. Wetherald
  • Stony Brook University
  • Lawrence Livermore National Laboratory
  • Institute of Bioorganic Chemistry
  • Meteorological Research Branch
  • Bur. of Meteorology Research Centre
  • Colorado State University
  • NASA Goddard Institute for Space Studies
  • Météo-France/CNRS
  • Commonwealth Scientific and Industrial Research Organization
  • Max Planck Institute for Meteorology
  • National Center for Atmospheric Research
  • Now at Met Office Hadley Centre
  • Université Pierre et Marie Curie
  • State University of New York Albany
  • Voeikov Main Geophysical Observatory
  • Glavnaya Geofizicheskaya O.
  • European Centre for Medium-Range Weather Forecasts
  • University of Illinois at Urbana-Champaign
  • Princeton University

Résultats de recherche: Contribution à un journalArticle de révisionRevue par des pairs

47 Citations (Scopus)

Résumé

We compare seasonal changes in cloud-radiative forcing (CRF) at the top of the atmosphere from 18 atmospheric general circulation models, and observations from the Earth Radiation Budget Experiment (ERBE). To enhance the CRF signal and suppress interannual variability, we consider only zonal mean quantities for which the extreme months (January and July), as well as the northern and southern hemispheres, have been differenced. Since seasonal variations of the shortwave component of CRF are caused by seasonal changes in both cloudiness and solar irradiance, the latter was removed. In the ERBE data, seasonal changes in CRF are driven primarily by changes in cloud amount. The same conclusion applies to the models. The shortwave component of seasonal CRF is a measure of changes in cloud amount at all altitudes, while the longwave component is more a measure of upper level clouds. Thus important insights into seasonal cloud amount variations of the models have been obtained by comparing both components, as generated by the models, with the satellite data. For example, in 10 of the 18 models the seasonal oscillations of zonal cloud patterns extend too far poleward by one latitudinal grid.

langue originaleAnglais
Pages (de - à)16593-16603
Nombre de pages11
journalJournal of Geophysical Research
Volume102
Numéro de publication14
Les DOIs
étatPublié - 27 juil. 1997

Empreinte digitale

Examiner les sujets de recherche de « Comparison of the seasonal change in cloud-radiative forcing from atmospheric general circulation models and satellite observations ». Ensemble, ils forment une empreinte digitale unique.

Contient cette citation