Statistical properties of cloud lifecycles in cloud-resolving models
Statistical properties of cloud lifecycles in cloud-resolving models
复制标题
云解析模型中云生命周期的统计特性
DOI：
10.5194/acp-9-2195-2009
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发表时间：
2008
影响因子：
6.3
通讯作者：
R. Plant
中科院分区：
文献类型：
--
作者：
R. Plant
摘要。本文描述了一种分析云分辨模式模拟的新技术，它允许人们研究积云生命周期的统计数据。在模型运行中从一个时间步到另一个时间步跟踪云。这允许一种非常简单的跟踪方法，但它既全面又健壮。描述了一种处理云分裂和合并的方法，该方法允许在单个框架内比较具有简单和复杂时间历史的云。这对于分析辐射-对流平衡的理想模拟是很重要的，在这种模拟中，湿润的、浮力的上升气流（即对流核心）被跟踪。在所有这些核心中，大约有一半在其生命周期中受到分裂和合并的影响。对于没有任何此类事件的内核，平均生存期为30分钟，但事件可以大大延长典型的生存期。
Abstract. A new technique is described for the analysis of cloud-resolving model simulations, which allows one to investigate the statistics of the lifecycles of cumulus clouds. Clouds are tracked from timestep to timestep within the model run. This allows for a very simple method of tracking, but one which is both comprehensive and robust. An approach for handling cloud splits and mergers is described which allows clouds with simple and complicated time histories to be compared within a single framework. This is found to be important for the analysis of an idealized simulation of radiative-convective equilibrium, in which the moist, buoyant updrafts (i.e., the convective cores) were tracked. Around half of all such cores were subject to splits and mergers during their lifecycles. For cores without any such events, the average lifetime is 30 min, but events can lengthen the typical lifetime considerably.
影响因子：
3.1
作者：
R. Plant;G. Craig
通讯作者：
R. Plant;G. Craig