globalchange  > 影响、适应和脆弱性
DOI: 10.1002/2016MS000809
Scopus记录号: 2-s2.0-85018484190
论文题名:
Improved MJO-simulation in ECHAM6.3 by coupling a Stochastic Multicloud Model to the convection scheme
作者: Peters K; , Crueger T; , Jakob C; , Möbis B
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2017
卷: 9, 期:1
起始页码: 193
结束页码: 219
语种: 英语
英文关键词: Atmospheric humidity ; Climate models ; Climatology ; Moisture ; Natural convection ; Rain ; Stochastic systems ; Tropical engineering ; Tropics ; ECHAM6.3 ; Madden-Julian oscillation ; Parametrizations ; Stochastic parametrization ; Tropical convection ; Stochastic models ; atmospheric convection ; climate modeling ; coupling ; Madden-Julian oscillation ; mass transfer ; parameterization ; relative humidity ; sensitivity analysis ; tropical meteorology ; troposphere ; velocity profile
英文摘要: We implement a Stochastic Multicloud Model (SMCM) in an observation-informed configuration into the convection scheme of the state-of-the-art GCM ECHAM6.3. The SMCM configuration we use here has been tuned to represent observed tropical convection by associating the occurrence and strength of deep convection to midtropospheric vertical velocity and relative humidity. We show that compared to the ECHAM6.3 standard model, the SMCM-modified version shows improved capacity to simulate features of tropical intraseasonal variability, including MJO-like disturbances, without significantly distorting the mean model climate. This improvement goes in hand with ameliorated coupling of atmospheric convection to tropospheric moisture and spatiotemporal coherence of tropical convection compared to reanalysis and observations. We attribute these effects to (i) improved coupling of triggering and suppression of deep convective events to the model's large-scale environment and (ii) the observations-informed closure formulation which leads to an overall reduction of deep convective mass fluxes. Sensitivity tests show that while (ii) improves the convection-moisture relationship, it is (i) which improves the spatiotemporal coherence of tropical rainfall and is important for MJO simulation. Further, the simulated spatiotemporal coherence of tropical rainfall is an intrinsic property of the convection schemes themselves and not of their parameters. We stress that this study serves as a proof-of-concept and motivates further efforts towards building a novel convection parameterization with the SMCM as a central element. © 2016. The Authors.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75813
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: ARC Centre of Excellence for Climate System Science, School of Earth, Atmosphere and Environment, Monash University, Clayton, Australia; Max-Planck-Institut für Meteorologie, Hamburg, Germany

Recommended Citation:
Peters K,, Crueger T,, Jakob C,et al. Improved MJO-simulation in ECHAM6.3 by coupling a Stochastic Multicloud Model to the convection scheme[J]. Journal of Advances in Modeling Earth Systems,2017-01-01,9(1)
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