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Multivariate Probability Density Functions with Dynamics in the GFDL Atmospheric General Circulation Model: Global Tests
Author(s) -
Huan Guo,
JeanChristophe Golaz,
Leo J. Donner,
Paul Ginoux,
Richard S. Hemler
Publication year - 2013
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-13-00347.1
Subject(s) - environmental science , climate model , cloud feedback , climatology , cloud cover , atmospheric sciences , convection , atmospheric model , meteorology , liquid water path , aerosol , cloud computing , climate change , climate sensitivity , geology , physics , oceanography , computer science , operating system
A unified turbulence and cloud parameterization based on multivariate probability density functions (PDFs) has been incorporated into the GFDL atmospheric general circulation model (AM3). This PDF-based parameterization not only predicts subgrid variations in vertical velocity, temperature, and total water, which bridge subgrid-scale processes (e.g., aerosol activation and cloud microphysics) and grid-scale dynamic and thermodynamic fields, but also unifies the treatment of planetary boundary layer (PBL), shallow convection, and cloud macrophysics. This parameterization is called the Cloud Layers Unified by Binormals (CLUBB) parameterization. With the incorporation of CLUBB in AM3, coupled with a two-moment cloud microphysical scheme, AM3–CLUBB allows for a more physically based and self-consistent treatment of aerosol activation, cloud micro- and macrophysics, PBL, and shallow convection.The configuration and performance of AM3–CLUBB are described. Cloud and radiation fields, as well as most basi...

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