On the use of cloud forcing to estimate cloud feedback

Brian J. Soden, Anthony J. Broccoli, Richard S. Hemler

Research output: Contribution to journalArticlepeer-review

187 Scopus citations


Uncertainty in cloud feedback is the leading cause of discrepancy in model predictions of climate change. The use of observed or model-simulated radiative fluxes to diagnose the effect of clouds on climate sensitivity requires an accurate understanding of the distinction between a change in cloud radiative forcing and a cloud feedback. This study compares simulations from different versions of the GFDL Atmospheric Model 2 (AM2) that have widely varying strengths of cloud feedback to illustrate the differences between the two and highlight the potential for changes in cloud radiative forcing to be misinterpreted.

Original languageEnglish (US)
Pages (from-to)3661-3665
Number of pages5
JournalJournal of Climate
Issue number19
StatePublished - Oct 1 2004
Externally publishedYes

ASJC Scopus subject areas

  • Atmospheric Science


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