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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 5, issue 6
Geosci. Model Dev., 5, 1589-1596, 2012
https://doi.org/10.5194/gmd-5-1589-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Community software to support the delivery of CMIP5

Geosci. Model Dev., 5, 1589-1596, 2012
https://doi.org/10.5194/gmd-5-1589-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

Development and technical paper 21 Dec 2012

Development and technical paper | 21 Dec 2012

Coupling technologies for Earth System Modelling

S. Valcke1, V. Balaji2, A. Craig3, C. DeLuca4, R. Dunlap5, R. W. Ford6, R. Jacob7, J. Larson8, R. O'Kuinghttons4, G. D. Riley9, and M. Vertenstein3 S. Valcke et al.
  • 1CERFACS, Sciences de l'Univers au CERFACS, URA1875, 42 Av. G. Coriolis, 31057 Toulouse Cedex 01, France
  • 2Princeton University, Princeton, NJ, 08544, USA
  • 3National Center for Atmospheric Research, 1850 Table Mesa Drive, Boulder, CO, 80305, USA
  • 4NOAA/CIRES 325 Broadway, Boulder, CO, USA
  • 5College of Computing, Georgia Tech, 266 Ferst Drive, Atlanta, GA, USA
  • 6STFC Daresbury Laboratory, Warrington, WA4 4AD, UK
  • 7Mathematics and Computer Science Division, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, Illinois 60439, USA
  • 8Mathematical Sciences Institute, The Australian National University, Canberra, ACT 0200, Australia
  • 9School of Computer Science, University of Manchester, Oxford Road, Manchester M13 9PL, UK

Abstract. This paper presents a review of the software currently used in climate modelling in general and in CMIP5 in particular to couple the numerical codes representing the different components of the Earth System. The coupling technologies presented show common features, such as the ability to communicate and regrid data, and also offer different functions and implementations. Design characteristics of the different approaches are discussed as well as future challenges arising from the increasing complexity of scientific problems and computing platforms.

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