Evaluation of ocean carbon cycle models with data-based metrics

Thumbnail Image
Matsumoto, K.
Sarmiento, Jorge L.
Key, Robert M.
Aumont, Olivier
Bullister, John L.
Caldeira, Ken
Campin, J.-M.
Doney, Scott C.
Drange, Helge
Dutay, J.-C.
Follows, Michael J.
Gao, Y.
Gnanadesikan, Anand
Gruber, Nicolas
Ishida, Akio
Joos, Fortunat
Lindsay, Keith
Maier-Reimer, Ernst
Marshall, John C.
Matear, Richard J.
Monfray, Patrick
Mouchet, Anne
Najjar, Raymond G.
Plattner, Gian-Kasper
Schlitzer, Reiner
Slater, Richard D.
Swathi, P. S.
Totterdell, Ian J.
Weirig, Marie-France
Yamanaka, Yasuhiro
Yool, Andrew
Orr, James C.
Alternative Title
Date Created
Replaced By
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.
Author Posting. © American Geophysical Union, 2004. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Geophysical Research Letters 31 (2004): L07303, doi:10.1029/2003GL018970.
Embargo Date
Geophysical Research Letters 31 (2004): L07303
Cruise ID
Cruise DOI
Vessel Name