Journal of Advances in Modeling Earth Systems 10 . 1029 / 2018 MS 001600
Journal of Advances in Modeling Earth Systems 10 . 1029 / 2018 MS 001600
复制标题
地球系统建模进展杂志 10 。
DOI：
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发表时间：
2019
期刊：
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通讯作者：
D. Crommelin
中科院分区：
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作者：
F. Jansson;G. Oord;I. Pelupessy;J. Grönqvist;A. P. Siebesma;D. Crommelin
作为全球大涡模拟（LESs）的一个计算上有吸引力的替代方案，我们调查的可能性，使用全面的三维LESs作为一个超级参数化，可以取代所有传统的参数化的大气过程中，目前使用的全球模式。我们提出的技术设计的替代欧洲中期天气预报中心的全球大气模型的云，对流和湍流的参数化的荷兰大气大涡模拟模型。模型耦合由全局模型和嵌入在全局模型列中的高分辨率LES模型之间的双向数据交换组成。我们的设置允许选择性超参数化，也就是说，在用户选择的局部区域中应用超参数化，同时保持该区域之外的全局模型的标准参数化不变。在计算方面，由于超参数化和非超参数化模型列之间的计算负载存在很大差异，因此此设置可能导致严重的地理负载不平衡。为了解决这个问题，我们使用模块化设计，其中本地和全局模型被保存为不同的模型代码，并组织模型耦合，使得所有本地模型并行运行，与全局模型分离。第一个仿真结果，采用这种设计，证明了我们的方法的潜力。
As a computationally attractive alternative for global large eddy simulations (LESs), we investigate the possibility of using comprehensive three-dimensional LESs as a superparameterization that can replace all traditional parameterizations of atmospheric processes that are currently used in global models. We present the technical design for a replacement of the parameterization for clouds, convection, and turbulence of the global atmospheric model of the European Centre for Medium-Range Weather Forecasts by the Dutch Atmospheric Large Eddy Simulation model. The model coupling consists of bidirectional data exchange between the global model and the high-resolution LES models embedded within the columns of the global model. Our setup allows for selective superparameterization, that is, for applying superparameterization in local regions selected by the user, while keeping the standard parameterization of the global model intact outside this region. Computationally, this setup can result in major geographic load imbalance, because of the large difference in computational load between superparameterized and nonsuperparameterized model columns. To resolve this issue, we use a modular design where the local and global models are kept as distinct model codes and organize the model coupling such that all the local models run in parallel, separate from the global model. First simulation results, employing this design, demonstrate the potential of our approach.