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Evaluation of ocean carbon cycle models with data-based metrics

  • K. Matsumoto
  • , J. L. Sarmiento
  • , R. M. Key
  • , O. Aumont
  • , J. L. Bullister
  • , K. Caldeira
  • , J. M. Campin
  • , S. C. Doney
  • , H. Drange
  • , J. C. Dutay
  • , M. Follows
  • , Y. Gao
  • , A. Gnanadesikan
  • , N. Gruber
  • , A. Ishida
  • , F. Joos
  • , K. Lindsay
  • , E. Maier-Reimer
  • , J. C. Marshall
  • , R. J. Matear
  • P. Monfray, A. Mouchet, R. Najjar, G. K. Plattner, R. Schlitzer, R. Slater, P. S. Swathi, I. J. Totterdell, M. F. Weirig, Y. Yamanaka, A. Yool, J. C. Orr
  • National Institute of Advanced Industrial Science and Technology
  • Princeton University
  • CNRS
  • National Oceanic/Atmospheric Admin.
  • Lawrence Livermore Natl. Laboratory
  • University of Liege
  • Woods Hole Oceanographic Institution
  • Nansen Environmental and Remote Sensing Center
  • Massachusetts Institute of Technology
  • National Oceanic and Atmospheric Administration
  • University of California at Los Angeles
  • Japan Agency for Marine-Earth Science and Technology
  • University of Bern
  • National Center for Atmospheric Research
  • Max Planck Institute for Meteorology
  • CSIRO
  • Pennsylvania State University
  • Alfred Wegener Institute - Helmholtz Centre for Polar and Marine Research
  • CSIR - Fourth Paradigm Institute
  • National Oceanography Centre

Research output: Contribution to journalArticlepeer-review

158 Scopus citations

Abstract

New radiocarbon and chlorofluorocarbon-11 data from the World Ocean Circulation Experiment are used to assess a suite of 19 ocean carbon cycle models. We use the distributions and inventories of these tracers as quantitative metrics of model skill and find that only about a quarter of the suite is consistent with the new data-based metrics. This should serve as a warning bell to the larger community that not all is well with current generation of ocean carbon cycle models. At the same time, this highlights the danger in simply using the available models to represent the state-of-the-art modeling without considering the credibility of each model.

Original languageEnglish
Pages (from-to)L07303 1-4
JournalGeophysical Research Letters
Volume31
Issue number7
DOIs
StatePublished - Apr 16 2004
Externally publishedYes

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