Articles | Volume 7, issue 4
https://doi.org/10.5194/esd-7-813-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/esd-7-813-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Towards improved and more routine Earth system model evaluation in CMIP
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Peter J. Gleckler
Program for Climate Model Diagnosis and Intercomparison (PCMDI), Lawrence Livermore National Laboratory, Livermore, CA, USA
Christoph Heinze
University of Bergen, Geophysical Institute and Bjerknes Centre for Climate Research, Bergen, Norway
Uni Research Climate, Bergen, Norway
Ronald J. Stouffer
Geophysical Fluid Dynamics Laboratory/NOAA, Princeton, NJ, USA
Karl E. Taylor
Program for Climate Model Diagnosis and Intercomparison (PCMDI), Lawrence Livermore National Laboratory, Livermore, CA, USA
V. Balaji
Geophysical Fluid Dynamics Laboratory/NOAA, Princeton, NJ, USA
Cooperative Institute for Climate Science, Princeton University, NJ, USA
Eric Guilyardi
Institut Pierre Simon Laplace, Laboratoire d'Océanographie et du Climat, UPMC/CNRS, Paris, France
National Centre for Atmospheric Science, University of Reading, Reading, UK
Sylvie Joussaume
Institut Pierre Simon Laplace, Laboratoire des Sciences du Climat et de l'Environnement, CNRS/CEA/UVSQ, Saclay, France
Stephan Kindermann
Deutsches Klimarechenzentrum, Hamburg, Germany
Bryan N. Lawrence
National Centre for Atmospheric Science, University of Reading, Reading, UK
Centre for Environmental Data Analysis, STFC Rutherford Appleton Laboratory, Didcot, UK
Gerald A. Meehl
National Center for Atmospheric Research (NCAR), Boulder, CO, USA
Mattia Righi
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Dean N. Williams
Program for Climate Model Diagnosis and Intercomparison (PCMDI), Lawrence Livermore National Laboratory, Livermore, CA, USA
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Short summary
We argue that the CMIP community has reached a critical juncture at which many baseline aspects of model evaluation need to be performed much more efficiently to enable a systematic and rapid performance assessment of the large number of models participating in CMIP, and we announce our intention to implement such a system for CMIP6. At the same time, continuous scientific research is required to develop innovative metrics and diagnostics that help narrowing the spread in climate projections.
We argue that the CMIP community has reached a critical juncture at which many baseline aspects...
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