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Physics-dynamics coupling in weather, climate, and Earth system models: Challenges and recent progress

Authors :
Piet Termonia
Florian Lemarié
Nigel Wood
Christiane Jablonowski
Markus Gross
Martin Willett
Bob Beare
Hans Johansen
Colin M. Zarzycki
Hui Wan
Almut Gassmann
Ruby Leung
Sylvie Malardel
Koichi Sakaguchi
Philip J. Rasch
Peter M. Caldwell
Peter H. Lauritzen
David L. Williamson
Eric Blayo
M. J. P. Cullen
Daniel Klocke
Diana R. Thatcher
Departamento de Oceanografia Fisica CICESE [Mexico]
Centro de Investigacion Cientifica y de Education Superior de Ensenada [Mexico] (CICESE)
Pacific Northwest National Laboratory (PNNL)
Lawrence Livermore National Laboratory (LLNL)
National Center for Atmospheric Research [Boulder] (NCAR)
Hans Ertel Zentrum für Wetterforschung [Offenbach]
Deutscher Wetterdienst [Offenbach] (DWD)
University of Michigan [Ann Arbor]
University of Michigan System
United Kingdom Met Office [Exeter]
College of Engineering, Mathematics and Physical Sciences [Exeter] (EMPS)
University of Exeter
Mathematics and computing applied to oceanic and atmospheric flows (AIRSEA)
Inria Grenoble - Rhône-Alpes
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Laboratoire Jean Kuntzmann (LJK )
Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Centre National de la Recherche Scientifique (CNRS)
European Centre for Medium-Range Weather Forecasts (ECMWF)
Institut Royal Météorologique de Belgique [Bruxelles] (IRM)
Leibniz-Institut für Atmosphärenphysik (IAP)
Universität Rostock-Leibniz Association
Lawrence Berkeley National Laboratory [Berkeley] (LBNL)
ANR-16-CE01-0007,COCOA,Méthodes mathématiquement et physiquement consistantes pour le couplage océan-atmosphère(2016)
ANR-14-CE23-0010,HEAT,Modélisation atmosphérique hautement efficace(2014)
Institut Royal Météorologique de Belgique [Bruxelles] - Royal Meteorological Institute (IRM)
Source :
Monthly Weather Review, vol 146, iss 11, MONTHLY WEATHER REVIEW, Monthly Weather Review, Monthly Weather Review, American Meteorological Society, 2018, 146 (11), pp.3505-3544. ⟨10.1175/MWR-D-17-0345.1⟩, Monthly Weather Review, 2018, 146 (11), pp.3505-3544. ⟨10.1175/MWR-D-17-0345.1⟩
Publication Year :
2018
Publisher :
eScholarship, University of California, 2018.

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.

Details

ISSN :
00270644 and 15200493
Database :
OpenAIRE
Journal :
Monthly Weather Review, vol 146, iss 11, MONTHLY WEATHER REVIEW, Monthly Weather Review, Monthly Weather Review, American Meteorological Society, 2018, 146 (11), pp.3505-3544. ⟨10.1175/MWR-D-17-0345.1⟩, Monthly Weather Review, 2018, 146 (11), pp.3505-3544. ⟨10.1175/MWR-D-17-0345.1⟩
Accession number :
edsair.doi.dedup.....930ed5d7a91942839e3eb43115ade740
Full Text :
https://doi.org/10.1175/MWR-D-17-0345.1⟩