.png){kind=icon}
返回
Considerations for stochastic convective parameterization
.png){kind=icon}
OA
AI
DOI：10.1175/1520-0469(2002)059<0959:CFSCP>2.0.CO;2.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Convective parameterizations in general circulation models (GCMs) generally only aim to simulate the mean or first-order moment of convection; higher moments associated with subgrid variability are not explicitly considered. In this study, an empirically based stochastic convective parameterization is developed that uses an assumed mixed lognormal distribution of rainfall, tuned with parameter values derived from observations, to control selected nonmean statistical properties of convection. Testing of this stochastic convective parameterization reveals that large-scale model dynamics interacts heavily with the convective parameterization, in ways such that the resulting output is fundamentally different from the input. This suggests stochastic parameterizations cannot be calibrated outside of a model's dynamical framework. Implications are discussed for the relative merits of the empirical approach versus another approach that introduces the stochastic process within the framework of the convective parameterization. Inclusion of the variance arising from unresolved scales by stochastic parameterization of convection is found to have a substantial impact upon atmospheric variability in the Tropics, including intraseasonal and longer timescales.
Keyword:
TROPICAL CIRCULATION MODEL
EQUATORIAL WAVES
EL-NINO
CLIMATE
VARIABILITY
PRECIPITATION
RAIN
PREDICTABILITY
OSCILLATION
TEMPERATURE
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
5.5
论文数:
9.6K
被引数:
6.9K
机构
暂无机构信息
引用论文
The excitation of equatorial waves by deep convection in the NCAR Community Climate Model (CCM3)OAAI
.png){kind=icon}
OAAI分享收藏COLD WATER PATCHES IN WARM STREAMS: PHYSICOCHEMICAL CHARACTERISTICS AND THE INFLUENCE OF SHADING1OAAI
OAAI分享收藏
查看更多内容