DOI: 10.1002/2016MS000756
Scopus记录号: 2-s2.0-84991727679
论文题名: Global climate impacts of stochastic deep convection parameterization in the NCAR CAM5
作者: Wang Y ; , Zhang G ; J
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2016
卷: 8, 期: 4 起始页码: 1641
结束页码: 1656
语种: 英语
英文关键词: Atmospheric humidity
; Heat convection
; Natural convection
; Parameterization
; Rain
; Random processes
; Scale (deposits)
; Stochastic models
; Tropics
; Uncertainty analysis
; CAM5
; Community atmospheric model
; Global climate impact
; Large-scale precipitation
; Precipitable water
; Shallow convection
; Thermodynamic fields
; Uncertain parameters
; Stochastic systems
; atmospheric convection
; climate forcing
; climate modeling
; global climate
; parameterization
; precipitable water
; relative humidity
; sensitivity analysis
; shortwave radiation
; stochasticity
; thermodynamics
; zonal wind
英文摘要: In this study, the stochastic deep convection parameterization of Plant and Craig (PC) is implemented in the Community Atmospheric Model version 5 (CAM5) to incorporate the stochastic processes of convection into the Zhang-McFarlane (ZM) deterministic deep convective scheme. Its impacts on deep convection, shallow convection, large-scale precipitation and associated dynamic and thermodynamic fields are investigated. Results show that with the introduction of the PC stochastic parameterization, deep convection is decreased while shallow convection is enhanced. The decrease in deep convection is mainly caused by the stochastic process and the spatial averaging of input quantities for the PC scheme. More detrained liquid water associated with more shallow convection leads to significant increase in liquid water and ice water paths, which increases large-scale precipitation in tropical regions. Specific humidity, relative humidity, zonal wind in the tropics, and precipitable water are all improved. The simulation of shortwave cloud forcing (SWCF) is also improved. The PC stochastic parameterization decreases the global mean SWCF from −52.25 W/m2 in the standard CAM5 to −48.86 W/m2, close to −47.16 W/m2 in observations. The improvement in SWCF over the tropics is due to decreased low cloud fraction simulated by the stochastic scheme. Sensitivity tests of tuning parameters are also performed to investigate the sensitivity of simulated climatology to uncertain parameters in the stochastic deep convection scheme. © 2016. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75854
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
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作者单位: Center for Earth System Science, Tsinghua University, Beijing, China; Scripps Institution of Oceanography, La Jolla, CA, United States
Recommended Citation:
Wang Y,, Zhang G,J. Global climate impacts of stochastic deep convection parameterization in the NCAR CAM5[J]. Journal of Advances in Modeling Earth Systems,2016-01-01,8(4)