Model Hierarchies for Understanding Atmospheric Circulation
Model Hierarchies for Understanding Atmospheric Circulation
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DOI：
10.1029/2018rg000607
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发表时间：
2019-05
影响因子：
25.2
通讯作者：
P. Maher;E. Gerber;B. Medeiros;T. Merlis;S. Sherwood;A. Sheshadri;A. Sobel;G. Vallis;A. Voigt;P. Zurita‐Gotor
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文献类型：
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作者：
P. Maher;E. Gerber;B. Medeiros;T. Merlis;S. Sherwood;A. Sheshadri;A. Sobel;G. Vallis;A. Voigt;P. Zurita‐Gotor
在这篇评论中，我们强调简单和全面的模型在解决关键的科学问题，以描述地球的大气环流之间的互补关系。以步骤或层次结构系统地表示模型，将我们从理想化系统到综合模型的理解，最终连接到观察到的大气。我们定义了三个相互关联的原则，可以用来描述模型层次的大气。我们探索丰富的多样性内的控制方程的动力学层次结构中，隔离和理解大气过程的能力的过程层次结构中，和物理域的重要性和分辨率的层次结构的规模。我们的讨论集中在大气的大尺度环流及其与云和对流的相互作用上，重点关注简单模型产生重大影响的领域。我们对未来气候模型预测的信心是基于我们努力将气候预测建立在基本物理理解的基础上。这种理解是可能的，部分原因是由于理想化模型的层次结构，提供了理解复杂系统所需的简单性。
In this review, we highlight the complementary relationship between simple and comprehensive models in addressing key scientific questions to describe Earth's atmospheric circulation. The systematic representation of models in steps, or hierarchies, connects our understanding from idealized systems to comprehensive models and ultimately the observed atmosphere. We define three interconnected principles that can be used to characterize the model hierarchies of the atmosphere. We explore the rich diversity within the governing equations in the dynamical hierarchy, the ability to isolate and understand atmospheric processes in the process hierarchy, and the importance of the physical domain and resolution in the hierarchy of scale. We center our discussion on the large‐scale circulation of the atmosphere and its interaction with clouds and convection, focusing on areas where simple models have had a significant impact. Our confidence in climate model projections of the future is based on our efforts to ground the climate predictions in fundamental physical understanding. This understanding is, in part, possible due to the hierarchies of idealized models that afford the simplicity required for understanding complex systems.