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

Author:

Gross Markus1,Wan Hui2,Rasch Philip J.2,Caldwell Peter M.3,Williamson David L.4,Klocke Daniel5,Jablonowski Christiane6,Thatcher Diana R.6,Wood Nigel7,Cullen Mike7,Beare Bob8,Willett Martin7,Lemarié Florian9,Blayo Eric9,Malardel Sylvie10,Termonia Piet1112,Gassmann Almut13,Lauritzen Peter H.4,Johansen Hans14,Zarzycki Colin M.4,Sakaguchi Koichi2,Leung Ruby2

Affiliation:

1. Departamento de Oceanografía Física, Centro de Investigación Científica y Educación Superior de Ensenada, Ensenada, Baja California, México

2. Pacific Northwest National Laboratory, Richland, Washington

3. Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California

4. National Center for Atmospheric Research, Boulder, Colorado

5. Hans Ertel Center for Weather Research, Deutscher Wetterdienst, Offenbach, Germany

6. Department of Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, Michigan

7. Met Office, Exeter, United Kingdom

8. CEMPS, Exeter University, Exeter, United Kingdom

9. INRIA, University of Grenoble–Alpes, LJK, CNRS, Grenoble, France

10. ECMWF, Shinfield Park, Reading, United Kingdom

11. Royal Meteorological Institute of Belgium, Brussels, Belgium

12. Department of Physics and Astronomy, Ghent University, Ghent, Belgium

13. IAP Kühlungsborn, Leibniz–Institut für Atmosphärenphysik e.V. an der Universität Rostock, Kühlungsborn, Germany

14. Applied Numerical Algorithms Group, Lawrence Berkeley National Laboratory, Berkeley, California

Abstract

Abstract 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.

Funder

Department of Energy Office of Biological and Environmental Research

Pacific Northwest National Laboratory

DOE Office of Science

U.S. Department of Energy (DOE) Office of Science Biological and Environmental Research

Agence Nationale de la Recherche

Publisher

American Meteorological Society

Subject

Atmospheric Science

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