DOI: | 10.1175/JCLI-D-16-0812.1
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Scopus记录号: | 2-s2.0-85040582845
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论文题名: | Modeling water vapor and clouds as passive tracers in an idealized GCM |
作者: | Ming Y.; Held I.M.
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刊名: | Journal of Climate
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ISSN: | 8948755
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出版年: | 2018
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卷: | 31, 期:2 | 起始页码: | 775
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结束页码: | 786
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语种: | 英语
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英文关键词: | Cloud cover
; Cloud microphysics
; Cloud radiative effects
; Water vapor
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Scopus关键词: | Boundary layers
; Probability distributions
; Troposphere
; Clausius Clapeyron relation
; Cloud cover
; Cloud microphysics
; Cloud radiative effects
; Explicit treatments
; General circulation model
; Substantial reduction
; Tropospheric clouds
; Water vapor
; boundary layer
; cloud cover
; cloud microphysics
; cloud radiative forcing
; general circulation model
; nonlinearity
; perturbation
; relative humidity
; vapor pressure
; water vapor
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英文摘要: | This paper introduces an idealized general circulation model (GCM) in which water vapor and clouds are tracked as tracers, but are not allowed to affect circulation through either latent heat release or cloud radiative effects. The cloud scheme includes an explicit treatment of cloud microphysics and diagnoses cloud fraction from a prescribed subgrid distribution of total water. The model is capable of qualitatively capturing many large-scale features of water vapor and cloud distributions outside of the boundary layer and deep tropics. The subtropical dry zones, midlatitude storm tracks, and upper-tropospheric cirrus are simulated reasonably well. The inclusion of cloud microphysics (namely rain re-evaporation) has a modest but significant effect of moistening the lower troposphere in this model. When being subjected to a uniform fractional increase of saturated water vapor pressure, the model produces little change in cloud fraction. A more realistic perturbation, which considers the nonlinearity of the Clausius-Clapeyron relation and spatial structure of CO2-induced warming, results in a substantial reduction in the free-tropospheric cloud fraction. This is reconciled with an increase of relative humidity by analyzing the probability distributions of both quantities, and may help explain partly similar decreases in cloud fraction in full GCMs. The model provides a means to isolate individual processes or model components for studying their influences on cloud simulation in the extratropical free troposphere. © 2018 American Meteorological Society. |
Citation statistics: |
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资源类型: | 期刊论文
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标识符: | http://119.78.100.158/handle/2HF3EXSE/111704
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Appears in Collections: | 气候减缓与适应
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作者单位: | NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States
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Recommended Citation: |
Ming Y.,Held I.M.. Modeling water vapor and clouds as passive tracers in an idealized GCM[J]. Journal of Climate,2018-01-01,31(2)
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