globalchange  > 影响、适应和脆弱性
DOI: 10.1002/2017MS001048
Scopus记录号: 2-s2.0-85034102381
论文题名:
Coastal Tropical Convection in a Stochastic Modeling Framework
作者: Bergemann M; , Khouider B; , Jakob C
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2017
卷: 9, 期:7
起始页码: 2561
结束页码: 2582
语种: 英语
英文关键词: Climate models ; Clouds ; Coastal zones ; Natural convection ; Numerical models ; Stochastic systems ; Weather forecasting ; Atmospheric conditions ; Cumulus parametrization ; Land-sea breeze ; Land-sea interactions ; Numerical weather forecasting ; Occurrence probability ; Stochastic cloud model ; Stochastic parametrization ; Stochastic models ; climate conditions ; climate modeling ; cloud cover ; coastal zone ; convection ; cumulus ; land-sea interaction ; modeling ; numerical model ; sea breeze ; stochasticity ; weather forecasting
英文摘要: Recent research has suggested that the overall dependence of convection near coasts on large-scale atmospheric conditions is weaker than over the open ocean or inland areas. This is due to the fact that in coastal regions convection is often supported by meso-scale land-sea interactions and the topography of coastal areas. As these effects are not resolved and not included in standard cumulus parametrization schemes, coastal convection is among the most poorly simulated phenomena in global models. To outline a possible parametrization framework for coastal convection we develop an idealized modeling approach and test its ability to capture the main characteristics of coastal convection. The new approach first develops a decision algorithm, or trigger function, for the existence of coastal convection. The function is then applied in a stochastic cloud model to increase the occurrence probability of deep convection when land-sea interactions are diagnosed to be important. The results suggest that the combination of the trigger function with a stochastic model is able to capture the occurrence of deep convection in atmospheric conditions often found for coastal convection. When coastal effects are deemed to be present the spatial and temporal organization of clouds that has been documented form observations is well captured by the model. The presented modeling approach has therefore potential to improve the representation of clouds and convection in global numerical weather forecasting and climate models. © 2017. The Authors.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75713
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: School of Earth, Atmosphere and Environment, Faculty of Science, Monash University, Melbourne, VIC, Australia; ARC Centre of Excellence for Climate System Science, Australia; Department of Mathematics and Statistics, University of Victoria, Victoria, BC, Canada

Recommended Citation:
Bergemann M,, Khouider B,, Jakob C. Coastal Tropical Convection in a Stochastic Modeling Framework[J]. Journal of Advances in Modeling Earth Systems,2017-01-01,9(7)
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