Articles | Volume 11, issue 5
https://doi.org/10.5194/gmd-11-1799-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-1799-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review and perspective paper
| Highlight paper
| 
08 May 2018
Review and perspective paper | Highlight paper |
| 08 May 2018
| 08 May 2018
Crossing the chasm: how to develop weather and climate models for next generation computers?
Bryan N. Lawrence
CORRESPONDING AUTHOR
Department of Meteorology, University of Reading, Reading, UK
National Centre of Atmospheric Science, Reading, UK
STFC Rutherford Appleton Laboratory, Didcot, UK
Michael Rezny
Monash University, Melbourne, Australia
Reinhard Budich
Max Planck Institute for Meteorology, Hamburg, Germany
Peter Bauer
ECMWF, Reading, UK
Jörg Behrens
DKRZ, Hamburg, Germany
Mick Carter
Met Office, Exeter, UK
Willem Deconinck
ECMWF, Reading, UK
Rupert Ford
STFC Hartree Centre, Daresbury Laboratory, Daresbury, UK
Christopher Maynard
Met Office, Exeter, UK
Steven Mullerworth
Met Office, Exeter, UK
Carlos Osuna
ETH, Zurich, Switzerland
Andrew Porter
STFC Hartree Centre, Daresbury Laboratory, Daresbury, UK
Kim Serradell
Barcelona Supercomputing Center, Barcelona, Spain
Sophie Valcke
Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique, Toulouse, France
Nils Wedi
ECMWF, Reading, UK
Simon Wilson
Department of Meteorology, University of Reading, Reading, UK
National Centre of Atmospheric Science, Reading, UK
Met Office, Exeter, UK
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Latest update: 08 Nov 2024
Short summary
Weather and climate models consist of complex software evolving in response to both scientific requirements and changing computing hardware. After years of relatively stable hardware, more diversity is arriving. It is possible that this hardware diversity and the pace of change may lead to an inability for modelling groups to manage their software development. This
chasmbetween aspiration and reality may need to be bridged by large community efforts rather than traditional
in-houseefforts.
Weather and climate models consist of complex software evolving in response to both scientific...
