Integrating Cloud Processes in the Community Atmosphere Model, Version 5Source: Journal of Climate:;2014:;volume( 027 ):;issue: 018::page 6821DOI: 10.1175/JCLI-D-14-00087.1Publisher: American Meteorological Society
Abstract: his paper provides a description of the integrated representation for the cloud processes in the Community Atmosphere Model, version 5 (CAM5). CAM5 cloud parameterizations add the following unique characteristics to previous versions: 1) a cloud macrophysical structure with horizontally nonoverlapped deep cumulus, shallow cumulus, and stratus in each grid layer, where each of which has its own cloud fraction, and mass and number concentrations for cloud liquid droplets and ice crystals; 2) stratus?radiation?turbulence interactions that allow CAM5 to simulate marine stratocumulus solely from grid-mean relative humidity without relying on a stability-based empirical formula; 3) prognostic treatment of the number concentrations of stratus liquid droplets and ice crystals, with activated aerosols and detrained in-cumulus condensates as the main sources and with evaporation, sedimentation, and precipitation of stratus condensate as the main sinks; and 4) radiatively active cumulus and snow. By imposing consistency between diagnosed stratus fraction and prognosed stratus condensate, unrealistically empty or highly dense stratus is avoided in CAM5. Because of the activation of the prognostic aerosols and the parameterizations of the radiation and stratiform precipitation production as a function of the cloud droplet size, CAM5 simulates various aerosol indirect effects as well as the direct effects: that is, aerosols affect both the radiation budget and the hydrological cycle.Detailed analysis of various simulations indicates that CAM5 improves upon CAM3/CAM4 in global performance as well as in physical formulation. However, several problems are also identified in CAM5, which can be attributed to deficient regional tuning, inconsistency between various physics parameterizations, and incomplete treatment of physics. Efforts are continuing to further improve CAM5.
|
Collections
Show full item record
contributor author | Park, Sungsu | |
contributor author | Bretherton, Christopher S. | |
contributor author | Rasch, Philip J. | |
date accessioned | 2017-06-09T17:10:03Z | |
date available | 2017-06-09T17:10:03Z | |
date copyright | 2014/09/01 | |
date issued | 2014 | |
identifier issn | 0894-8755 | |
identifier other | ams-80446.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4223339 | |
description abstract | his paper provides a description of the integrated representation for the cloud processes in the Community Atmosphere Model, version 5 (CAM5). CAM5 cloud parameterizations add the following unique characteristics to previous versions: 1) a cloud macrophysical structure with horizontally nonoverlapped deep cumulus, shallow cumulus, and stratus in each grid layer, where each of which has its own cloud fraction, and mass and number concentrations for cloud liquid droplets and ice crystals; 2) stratus?radiation?turbulence interactions that allow CAM5 to simulate marine stratocumulus solely from grid-mean relative humidity without relying on a stability-based empirical formula; 3) prognostic treatment of the number concentrations of stratus liquid droplets and ice crystals, with activated aerosols and detrained in-cumulus condensates as the main sources and with evaporation, sedimentation, and precipitation of stratus condensate as the main sinks; and 4) radiatively active cumulus and snow. By imposing consistency between diagnosed stratus fraction and prognosed stratus condensate, unrealistically empty or highly dense stratus is avoided in CAM5. Because of the activation of the prognostic aerosols and the parameterizations of the radiation and stratiform precipitation production as a function of the cloud droplet size, CAM5 simulates various aerosol indirect effects as well as the direct effects: that is, aerosols affect both the radiation budget and the hydrological cycle.Detailed analysis of various simulations indicates that CAM5 improves upon CAM3/CAM4 in global performance as well as in physical formulation. However, several problems are also identified in CAM5, which can be attributed to deficient regional tuning, inconsistency between various physics parameterizations, and incomplete treatment of physics. Efforts are continuing to further improve CAM5. | |
publisher | American Meteorological Society | |
title | Integrating Cloud Processes in the Community Atmosphere Model, Version 5 | |
type | Journal Paper | |
journal volume | 27 | |
journal issue | 18 | |
journal title | Journal of Climate | |
identifier doi | 10.1175/JCLI-D-14-00087.1 | |
journal fristpage | 6821 | |
journal lastpage | 6856 | |
tree | Journal of Climate:;2014:;volume( 027 ):;issue: 018 | |
contenttype | Fulltext |