DOI: 10.1175/JCLI-D-17-0785.1
Scopus记录号: 2-s2.0-85052806222
论文题名: Linking stochasticity of convection to large-scale vertical velocity to improve Indian Summer Monsoon simulation in the NCAR CAM5
作者: Wang Y. ; Zhang G.J. ; Jiang Y.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2018
卷: 31, 期: 17 起始页码: 6985
结束页码: 7002
语种: 英语
英文关键词: Climate models
; Clouds
; Convective parameterization
; Monsoons
Scopus关键词: Atmospheric thermodynamics
; Budget control
; Climate change
; Climate models
; Clouds
; Moisture
; Parameterization
; Stochastic models
; Community atmosphere model
; Convective parameterization
; Convective parameterization schemes
; Global circulation model
; Intraseasonal oscillations
; Intraseasonal variability
; Monsoons
; National center for atmospheric researches
; Stochastic systems
英文摘要: The Plant-Craig (PC) stochastic convective parameterization scheme is modified by linking the stochastic generation of convective clouds to the change of large-scale vertical pressure velocity at 500 hPa with time so as to better account for the relationship between convection and the large-scale environment. Three experiments using the National Center for Atmospheric Research (NCAR) Community Atmosphere Model, version 5 (CAM5), are conducted: one with the default Zhang-McFarlane deterministic convective scheme, another with the original PC stochastic scheme, and a third with the modified PC stochastic scheme. Evaluation is focused on the simulation of the Indian summer monsoon (ISM), which is a long-standing challenge for all current global circulation models. Results show that the modified stochastic scheme better represents the annual cycle of the climatological mean rainfall over central India and the mean onset date of ISM compared to other simulations. Also, for the simulations of ISM intraseasonal variability for quasi-biweekly and 30-60-day modes, the modified stochastic parameterization produces more realistic propagation and magnitude, especially for the observed northeastward movement of the 30-60-day mode, for which the other two simulations show the propagation in the opposite direction. Causes are investigated through a moisture budget analysis. Compared to the other two simulations, the modified stochastic scheme with an appropriate representation of convection better represents the patterns and amplitudes of large-scale dynamical convergence and moisture advection and thus corrects the monsoon cycle associated with their covariation during the peaks and troughs of intraseasonal oscillation. © 2018 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/110686
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: Department of Earth System Science, Tsinghua University, Beijing, China; Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA, United States; CMA-NJU Joint Laboratory for Climate Prediction Studies, Institute for Climate and Global Change Research, School of Atmospheric Sciences, Nanjing University, Nanjing, China
Recommended Citation:
Wang Y.,Zhang G.J.,Jiang Y.. Linking stochasticity of convection to large-scale vertical velocity to improve Indian Summer Monsoon simulation in the NCAR CAM5[J]. Journal of Climate,2018-01-01,31(17)