4.4 Article

Physics-Dynamics Coupling in Weather, Climate, and Earth System Models: Challenges and Recent Progress

期刊

MONTHLY WEATHER REVIEW
卷 146, 期 11, 页码 3505-3544

出版社

AMER METEOROLOGICAL SOC
DOI: 10.1175/MWR-D-17-0345.1

关键词

Coupled models; Model comparison; Model errors; Model evaluation; performance; Numerical analysis; modeling; Parameterization

资金

  1. National Science Foundation
  2. U.S. Department of Energy [DE-AC52-07NA27344]
  3. Linus Pauling Distinguished Postdoctoral Fellowship of the Pacific Northwest National Laboratory (PNNL) through the Laboratory Directed Research and Development Program
  4. DOE Office of Science as part of the Scientific Discovery through Advanced Computing (SciDAC) Program
  5. DOE Office of Science [DE-SC0006684, DE-SC0003990]
  6. U.S. Department of Energy Office of Science Biological and Environmental Research
  7. French national research agency [ANR-14-CE23-0010]
  8. Department of Energy Office of Biological and Environmental Research [12-015334]
  9. PNNL Institutional Computing
  10. DOE [DE-AC05-76RL01830]
  11. [DE-AC02-05CH11231]
  12. Agence Nationale de la Recherche (ANR) [ANR-14-CE23-0010] Funding Source: Agence Nationale de la Recherche (ANR)
  13. U.S. Department of Energy (DOE) [DE-SC0003990, DE-SC0006684] Funding Source: U.S. Department of Energy (DOE)

向作者/读者索取更多资源

Numerical weather, climate, or Earth system models involve the coupling of components. At a broad level, these components can be classified as the resolved fluid dynamics, unresolved fluid dynamical aspects (i.e., those represented by physical parameterizations such as subgrid-scale mixing), and nonfluid dynamical aspects such as radiation and microphysical processes. Typically, each component is developed, at least initially, independently. Once development is mature, the components are coupled to deliver a model of the required complexity. The implementation of the coupling can have a significant impact on the model. As the error associated with each component decreases, the errors introduced by the coupling will eventually dominate. Hence, any improvement in one of the components is unlikely to improve the performance of the overall system. The challenges associated with combining the components to create a coherent model are here termed physics-dynamics coupling. The issue goes beyond the coupling between the parameterizations and the resolved fluid dynamics. This paper highlights recent progress and some of the current challenges. It focuses on three objectives: to illustrate the phenomenology of the coupling problem with references to examples in the literature, to show how the problem can be analyzed, and to create awareness of the issue across the disciplines and specializations. The topics addressed are different ways of advancing full models in time, approaches to understanding the role of the coupling and evaluation of approaches, coupling ocean and atmosphere models, thermodynamic compatibility between model components, and emerging issues such as those that arise as model resolutions increase and/or models use variable resolutions.

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