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A Physically Based Subgrid Parameterization for the Production and Maintenance of Mixed-Phase Clouds in a General Circulation Model

A 身体上在一个一般发行量模型为混合阶段云的生产和维护基于 Subgrid Parameterization

作     者:Furtado, K. Field, P. R. Boutle, I. A. Morcrette, C. J. Wilkinson, J. M. 

作者机构:Met Off Exeter EX1 3PB Devon England 

出 版 物:《JOURNAL OF THE ATMOSPHERIC SCIENCES》 (大气科学杂志)

年 卷 期:2016年第73卷第1期

页      面:279-291页

核心收录:

学科分类:07[理学] 070601[理学-气象学] 0706[理学-大气科学] 

基  金:NASA AMSR-E Science Team NASA Earth Science MEaSUREs Program 

主  题:Physical Meteorology and Climatology Cloud water phase Condensation Models and modeling Cloud parameterizations Subgrid-scale processes 

摘      要:A physically based method for parameterizing the role of subgrid-scale turbulence in the production and maintenance of supercooled liquid water and mixed-phase clouds is presented. The approach used is to simplify the dynamics of supersaturation fluctuations to a stochastic differential equation that can be solved analytically, giving increments to the prognostic liquid cloud fraction and liquid water content fields in a general circulation model (GCM). Elsewhere, it has been demonstrated that the approach captures the properties of decameter-resolution large-eddy simulations of a turbulent mixed-phase environment. In this paper, it is shown that it can be implemented in a GCM, and the effects that this has on Southern Ocean biases and on Arctic stratus are investigated.

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