globalchange  > 气候变化事实与影响
DOI: 10.1175/JCLI-D-13-00347.1
Scopus记录号: 2-s2.0-84897589380
论文题名:
Multivariate probability density functions with dynamics in the GFDL atmospheric general circulation Model: Global tests
作者: Guo H.; Golaz J.-C.; Donner L.J.; Ginoux P.; Hemler R.S.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2014
卷: 27, 期:5
起始页码: 2087
结束页码: 2108
语种: 英语
Scopus关键词: Atmospheric general circulation models ; Horizontal resolution ; Model and observation ; Multi-variate probability density functions ; Planetary boundary layers ; Self-consistent treatment ; Sub-grid scale process ; Thermodynamic fields ; Aerosols ; Clouds ; Computer simulation ; Physics ; Probability density function ; Parameterization ; atmospheric general circulation model ; boundary layer ; cloud cover ; cloud microphysics ; cloud water ; convective system ; multivariate analysis ; parameterization ; probability density function ; stratocumulus ; turbulence
英文摘要: 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 PDFbased 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 basic climate features, are modeled realistically. Relative to AM3, AM3-CLUBB improves the simulation of coastal stratocumulus, a longstanding deficiency in GFDL models, and their seasonal cycle, especially at higher horizontal resolution, but global skill scores deteriorate slightly. Through sensitivity experiments, it is shown that 1) the two-moment cloud microphysics helps relieve the deficiency of coastal stratocumulus, 2) using the CLUBB subgrid cloud water variability in the cloud microphysics has a considerable positive impact on global cloudiness, and 3) the impact of adjusting CLUBB parameters is to improve the overall agreement between model and observations. © 2014 American Meteorological Society.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/50926
Appears in Collections:气候变化事实与影响

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作者单位: UCAR Visiting Scientist Programs, NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States; NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States; High Performance Technologies Group, DRC/GFDL, Princeton, NJ, United States

Recommended Citation:
Guo H.,Golaz J.-C.,Donner L.J.,et al. Multivariate probability density functions with dynamics in the GFDL atmospheric general circulation Model: Global tests[J]. Journal of Climate,2014-01-01,27(5)
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