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CMIP3 Subtropical Stratocumulus Cloud Feedback Interpreted through a Mixed-Layer Model
Author(s) -
Peter Caldwell,
Yunyan Zhang,
Stephen A. Klein
Publication year - 2012
Publication title -
journal of climate
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.315
H-Index - 287
eISSN - 1520-0442
pISSN - 0894-8755
DOI - 10.1175/jcli-d-12-00188.1
Subject(s) - environmental science , climatology , cloud cover , climate model , cloud fraction , gcm transcription factors , coupled model intercomparison project , cloud computing , atmospheric sciences , cloud feedback , cloud forcing , meteorology , climate change , general circulation model , climate sensitivity , geography , computer science , geology , oceanography , operating system
Large-scale conditions over subtropical marine stratocumulus areas are extracted from global climate models (GCMs) participating in phase 3 of the Coupled Model Intercomparison Project (CMIP3) and used to drive an atmospheric mixed-layer model (MLM) for current and future climate scenarios. Cloud fraction is computed as the fraction of days where GCM forcings produce a cloudy equilibrium MLM state. This model is a good predictor of cloud fraction and its temporal variations on time scales longer than 1 week but overpredicts liquid water path and entrainment.GCM cloud fraction compares poorly with observations of mean state, variability, and correlation with estimated inversion strength (EIS). MLM cloud fraction driven by these same GCMs, however, agrees well with observations, suggesting that poor GCM low cloud fraction is due to deficiencies in cloud parameterizations rather than large-scale conditions. However, replacing the various GCM cloud parameterizations with a single physics package (the ...

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