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Please use this identifier to cite or link to this item: http://hdl.handle.net/1956/624

Title:	Evaluation of ocean carbon cycle models with data-based metrics
Authors:	Matsumoto, K. Sarmiento, J. L. Key, R. M. Aumont, O. Bullister, J. L. Caldeira, Ken Campin, J. M. Doney, S. C. Drange, Helge Dutay, J. C. Follows, M. Gao, Yongqi Gnanadesikan, A. Gruber, N. Ishida, A. Joos, F. Lindsay, K. Maier-Reimer, E. Marshall, J. C. Matear, R. J. Monfray, P. Mouchet, A. Najjar, R. Plattner, G. K. Schlitzer, R. Slater, R. Swathi, P. S. Totterdell, I. J. Weirig, M. F. Yamanaka, Y. Yool, A. Orr, J. C.
Keywords:	Oceanography 4255
Issue Date:	2-Apr-2004
Publisher:	American Geophysical Union
Citation:	http://www.agu.org/journals/gl/gl0407/2003GL018970/2003GL018970.pdf
Series/Report no.:	Geophysical Research Letters;31(7)
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 databased 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.
URI:	http://dx.doi.org/10.1029/2003GL018970 http://hdl.handle.net/1956/624
ISSN:	0094-8276
Appears in Collections:	Bjerknes Center for Climate Research Nansen Environmental and Remote Sensing Center (NERSC)

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