Evaluation of ocean carbon cycle models with data-based metrics


Matsumoto, K., Sarmiento, J.L., Key, R.M., Aumont, O., Bullister, J.L., Caldeira, K., Campin, J-M., Donay, S.C., Drange, H., Dutay, J-C., Follows, M., Gao, Y., 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. and Orr, J.C. (2004) Evaluation of ocean carbon cycle models with data-based metrics. Geophysical Research Letters, 31, (7), L07303. (doi:10.1029/2003GL018970).

Download

Full text not available from this repository.

Description/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.

Item Type: Article
Related URLs:
Subjects: G Geography. Anthropology. Recreation > GC Oceanography
Divisions: University Structure - Pre August 2011 > School of Ocean & Earth Science (SOC/SOES)
University Structure - Pre August 2011 > National Oceanography Centre (NERC)
ePrint ID: 15808
Date Deposited: 01 Jun 2005
Last Modified: 27 Mar 2014 18:06
URI: http://eprints.soton.ac.uk/id/eprint/15808

Actions (login required)

View Item View Item