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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
  • Russian Academy of Sciences
  • Environment and Climate Change Canada
  • Laboratoire de Meteorologie Dynamique
  • Bureau of Meteorology Australia
  • Colorado State University
  • NASA Goddard Institute for Space Studies
  • Centre National de Recherches Meteorologiques
  • CSIRO
  • Max Planck Institute for Meteorology
  • National Center for Atmospheric Research
  • Met Office
  • SUNY Albany
  • Main Geophysical Observatory
  • Glavnaya Geofizicheskaya O.
  • European Centre for Medium-Range Weather Forecasts
  • University of Illinois at Urbana-Champaign
  • Princeton University

Research output: Contribution to journalReview articlepeer-review

47 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)16593-16603
Number of pages11
JournalJournal of Geophysical Research Atmospheres
Volume102
Issue number14
DOIs
StatePublished - Jul 27 1997

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