Articles | Volume 9, issue 5
https://doi.org/10.5194/gmd-9-1747-2016
© 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/gmd-9-1747-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Methods for assessment of models
| 
10 May 2016
Methods for assessment of models |
| 10 May 2016
ESMValTool (v1.0) – a community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut
für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Mattia Righi
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut
für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Axel Lauer
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut
für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Martin Evaldsson
Swedish Meteorological and Hydrological Institute (SMHI), 60176
Norrköping, Sweden
Sabrina Wenzel
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut
für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Colin Jones
University of Leeds, Leeds, UK
Met Office Hadley Centre, Exeter, UK
Alessandro Anav
University of
Exeter, Exeter, UK
Oliver Andrews
Tyndall Centre for Climate Change Research,
School of Environmental Sciences, University of East Anglia, Norwich, UK
Irene Cionni
Agenzia nazionale per le nuove tecnologie, l'energia e lo sviluppo
economico sostenibile (ENEA), Rome, Italy
Edouard L. Davin
ETH Zurich, Zurich,
Switzerland
Clara Deser
National Center for Atmospheric Research (NCAR),
Boulder, USA
Carsten Ehbrecht
Deutsches Klimarechenzentrum, Hamburg, Germany
Pierre Friedlingstein
University of
Exeter, Exeter, UK
Peter Gleckler
Program for Climate Model Diagnosis and Intercomparison, Lawrence
Livermore National Laboratory, Livermore, CA, USA
Klaus-Dirk Gottschaldt
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut
für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Stefan Hagemann
Max Planck Institute for Meteorology, Hamburg, Germany
Martin Juckes
National Centre for Atmospheric Science, British Atmospheric Data
Centre, STFC Rutherford Appleton Laboratory, Didcot, UK
Stephan Kindermann
Deutsches Klimarechenzentrum, Hamburg, Germany
John Krasting
Geophysical Fluid Dynamics Laboratory/NOAA, Princeton, NJ, USA
Dominik Kunert
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut
für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Richard Levine
Met Office Hadley Centre, Exeter, UK
Alexander Loew
Ludwig-Maximilians-Universität München, Munich, Germany
Max Planck Institute for Meteorology, Hamburg, Germany
Jarmo Mäkelä
Finnish Meteorological Institute, Helsinki, Finland
Gill Martin
Met Office Hadley Centre, Exeter, UK
Erik Mason
Geophysical Fluid Dynamics Laboratory/NOAA, Princeton, NJ, USA
Engility Corporation, Chantilly, VA, USA
Adam S. Phillips
National Center for Atmospheric Research (NCAR),
Boulder, USA
Simon Read
University of
Reading, Reading, UK
Catherine Rio
Institut Pierre Simon Laplace, Paris,
France
Romain Roehrig
CNRM-GAME, Météo France and CNRS, Toulouse,
France
Daniel Senftleben
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut
für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Andreas Sterl
Royal Netherlands Meteorological Institute (KNMI), De
Bilt, the Netherlands
Lambertus H. van Ulft
Royal Netherlands Meteorological Institute (KNMI), De
Bilt, the Netherlands
Jeremy Walton
Met Office Hadley Centre, Exeter, UK
Shiyu Wang
Swedish Meteorological and Hydrological Institute (SMHI), 60176
Norrköping, Sweden
Keith D. Williams
Met Office Hadley Centre, Exeter, UK
Data sets
Olson's Major World Ecosystem Complexes Ranked by Carbon in Live Vegetation: An Updated Database Using the GLC2000 Land Cover Product (NDP-017b) Gibbs, H. K. https://doi.org/10.3334/CDIAC/lue.ndp017.2006
Short summary
A community diagnostics and performance metrics tool for the evaluation of Earth system models (ESMs) in CMIP has been developed that allows for routine comparison of single or multiple models, either against predecessor versions or against observations.
A community diagnostics and performance metrics tool for the evaluation of Earth system models...
