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Improving Representation of Tropical Cloud Overlap in GCMs Based on Cloud-Resolving Model Data

机译:基于云解析模型数据改进GCM中热带云重叠的表示

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摘要

The decorrelation length (Lcf) has been widely used to describe the behavior of vertical overlap of clouds in gene-ral circulation models (GCMs); however, it has been a challenge to associate Lcfwith the large-scale meteorological conditions during cloud evolution. This study explored the relationship between Lcfand the strength of atmospheric convection in the tropics based on output from a global cloud-resolving model. Lcftends to increase with vertical ve-locity in the mid-troposphere (w500) at locations of ascent, but shows little or no dependency on w500at locations of descent. A representation of Lcfas a function of vertical velocity is obtained, with a linear regression in ascending re-gions and a constant value in descending regions. This simple and dynamic-related representation of Lcfleads to a significant improvement in simulation of both cloud cover and radiation fields compared with traditional overlap treatments. This work presents a physically justifiable approach to depicting cloud overlap in the tropics in GCMs.
机译:去相关长度(Lcf)已被广泛用于描述基因-环流模型(GCM)中云的垂直重叠行为。但是,在云演化过程中将Lcf与大规模气象条件联系起来一直是一个挑战。这项研究基于全球云解析模型的输出,探索了Lcf与热带大气对流强度之间的关系。 Lcftends在上升位置随对流层中层(w500)的垂直速度而增加,但在下降位置对w500的依赖性很小或没有依赖性。获得了Lcfas与垂直速度的函数关系的表示,在上升区域具有线性回归,在下降区域具有恒定值。与传统的重叠处理相比,Lcflead的这种简单且动态相关的表示形式显着改善了云层和辐射场的模拟。这项工作提出了一种物理上合理的方法来描述GCM中热带地区的云重叠。

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  • 来源
    《气象学报(英文版)》 |2018年第2期|233-245|共13页
  • 作者单位

    Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science&Technology,Nanjing 210044,China;

    Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science&Technology,Nanjing 210044,China;

    State Key Laboratory of Severe Weather,Chinese Academy of Meteorological Sciences,Beijing 100081,China;

    Atmosphere and Ocean Research Institute,The University of Tokyo,Kashiwa 2778564,Japan;

    Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science&Technology,Nanjing 210044,China;

    Laboratory for Climate Studies,National Climate Center,China Meteorological Administration,Beijing 100081,China;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 eng
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