Documenting Climate Models and Their Simulations

Eric Guilyardi NCAS, University of Reading, Reading, United Kingdom, and IPSL/LOCEAN, Paris, France

Search for other papers by Eric Guilyardi in
Current site
Google Scholar
PubMed
Close
,
V. Balaji Princeton, New Jersey

Search for other papers by V. Balaji in
Current site
Google Scholar
PubMed
Close
,
Bryan Lawrence NCAS, University of Reading, Reading, United Kingdom, and STFC, Didcot, United Kingdom

Search for other papers by Bryan Lawrence in
Current site
Google Scholar
PubMed
Close
,
Sarah Callaghan STFC/BADC, Didcot, United Kingdom

Search for other papers by Sarah Callaghan in
Current site
Google Scholar
PubMed
Close
,
Cecelia Deluca NOAA/ESRL/NESII, Boulder, Colorado

Search for other papers by Cecelia Deluca in
Current site
Google Scholar
PubMed
Close
,
Sébastien Denvil IPSL, Paris, France

Search for other papers by Sébastien Denvil in
Current site
Google Scholar
PubMed
Close
,
Michael Lautenschlager DKRZ, Hamburg, Germany

Search for other papers by Michael Lautenschlager in
Current site
Google Scholar
PubMed
Close
,
Mark Morgan IPSL, Paris, France

Search for other papers by Mark Morgan in
Current site
Google Scholar
PubMed
Close
,
Sylvia Murphy NOAA/ESRL/NESII, Boulder, Colorado

Search for other papers by Sylvia Murphy in
Current site
Google Scholar
PubMed
Close
, and
Karl E. Taylor PCMDI, Livermore, California

Search for other papers by Karl E. Taylor in
Current site
Google Scholar
PubMed
Close
Restricted access

The results of climate models are of increasing and widespread importance. No longer is climate model output of sole interest to climate scientists and researchers in the climate change impacts and adaptation fields. Now nonspecialists such as government officials, policy makers, and the general public all have an increasing need to access climate model output and understand its implications. For this host of users, accurate and complete metadata (i.e., information about how and why the data were produced) is required to document the climate modeling results. Here we describe a pilot community initiative to collect and make available documentation of climate models and their simulations. In an initial application, a metadata repository is being established to provide information of this kind for a major internationally coordinated modeling activity known as CMIP5 (Coupled Model Intercomparison Project, Phase 5). It is expected that for a wide range of stakeholders, this and similar community-managed metadata repositories will spur development of analysis tools that facilitate discovery and exploitation of Earth system simulations.

CORRESPONDING AUTHOR: Sarah Callaghan, British Atmospheric Data Centre, RAL Space, R25-Room 1.121, STFC Rutherford Appleton Laboratory, Harwell, Oxford, Didcot OX11 0QX, United Kingdom, E-mail: sarah.callaghan@stfc.ac.uk

The results of climate models are of increasing and widespread importance. No longer is climate model output of sole interest to climate scientists and researchers in the climate change impacts and adaptation fields. Now nonspecialists such as government officials, policy makers, and the general public all have an increasing need to access climate model output and understand its implications. For this host of users, accurate and complete metadata (i.e., information about how and why the data were produced) is required to document the climate modeling results. Here we describe a pilot community initiative to collect and make available documentation of climate models and their simulations. In an initial application, a metadata repository is being established to provide information of this kind for a major internationally coordinated modeling activity known as CMIP5 (Coupled Model Intercomparison Project, Phase 5). It is expected that for a wide range of stakeholders, this and similar community-managed metadata repositories will spur development of analysis tools that facilitate discovery and exploitation of Earth system simulations.

CORRESPONDING AUTHOR: Sarah Callaghan, British Atmospheric Data Centre, RAL Space, R25-Room 1.121, STFC Rutherford Appleton Laboratory, Harwell, Oxford, Didcot OX11 0QX, United Kingdom, E-mail: sarah.callaghan@stfc.ac.uk
Save
  • Carlson, D., 2011: A lesson in sharing. Nature, 469, 293, doi:10.1038/469293a.

  • Gleckler, P. J., K. E. Taylor, and C. Doutriaux, 2008: Performance metrics for climate models. J. Geophys. Res., 113, D06104, doi:10.1029/2007JD008972.

    • Search Google Scholar
    • Export Citation
  • Guilyardi, E., and Coauthors, and the METAFOR group, 2011: The CMIP5 model and simulation documentation: A new standard for climate modelling metadata. CLIVAR Exchanges, 56, 4246.

    • Search Google Scholar
    • Export Citation
  • Hawkins, E., and R. Sutton, 2009: The potential to narrow uncertainty in regional climate predictions. Bull. Amer. Meteor. Soc., 90, 10951107, doi:10.1175/2009BAMS2607.1.

    • Search Google Scholar
    • Export Citation
  • Kleiner, K., 2011: Data on demand. Nature Climate Change, 1, 1012, doi:10.1038/nclimate1057.

  • Lawrence, B. N., and Coauthors, 2012: Describing Earth system simulations with the Metafor CIM. Geosci. Mod. Dev. Disc., 5(2), 16691689, doi:10.5194/gmdd-5-1669-2012.

    • Search Google Scholar
    • Export Citation
  • Masson, D., and R. Knutti, 2011: Climate model genealogy. Geophys. Res. Lett., 38, L08703, doi:10.1029/2011GL046864.

  • Overpeck, J. T., G. A. Meehl, S. Bony, and D. R. Easterling, 2011: Climate data challenges in the 21st century. Science, 331, 700702, doi:10.1126/science.1197869.

    • Search Google Scholar
    • Export Citation
  • Palmer, T., 2012: Towards the probabilistic Earth-system simulator: A vision for the future of climate and weather prediction. Quart. J. Roy. Meteor. Soc., 138, 841861.

    • Search Google Scholar
    • Export Citation
  • Reichler, T., and J. Kim, 2008: How well do coupled models simulate today's climate? Bull. Amer. Meteor. Soc., 89, 303312.

  • Santer, B. D., and Coauthors, 2009: Incorporating model quality information in climate change detection and attribution studies. Proc. Nat. Acad. Sci., 106, 14 77814 783, doi:10.1073/pnas.0901736106.

    • Search Google Scholar
    • Export Citation
  • Taylor, K. E., R. J. Stouffer, and G. A. Meehl, 2012: An overview of CMIP5 and the experiment design. Bull. Amer. Meteor. Soc., 93, 485498, doi:10.1175/BAMS-D-11-00094.1.

    • Search Google Scholar
    • Export Citation
  • Williams, D. N., B. N. Lawrence, M. Lautenschlager, D. Middleton, and V. Balaji, 2011: The Earth System Grid Federation: Delivering globally accessible petascale data for CMIP5. Proc. of the 32nd Asia-Pacific Advanced Network Mtg, New Delhi, doi:10.7125/APAN.32.15.

    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 940 364 33
PDF Downloads 168 55 7