Evaluation of ocean carbon cycle models with data-based metrics

K. Matsumoto; Jorge Louis 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

doi:10.1029/2003GL018970

Evaluation of ocean carbon cycle models with data-based metrics

K. Matsumoto, Jorge Louis 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. MatearP. 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

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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 language	English (US)
Pages (from-to)	L07303 1-4
Journal	Geophysical Research Letters
Volume	31
Issue number	7
DOIs	https://doi.org/10.1029/2003GL018970
State	Published - Apr 16 2004

All Science Journal Classification (ASJC) codes

Geophysics
General Earth and Planetary Sciences

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10.1029/2003GL018970

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Matsumoto, K., Sarmiento, J. L., Key, R. M., Aumont, O., Bullister, J. L., Caldeira, K., Campin, J. M., Doney, 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., ... Orr, J. C. (2004). Evaluation of ocean carbon cycle models with data-based metrics. Geophysical Research Letters, 31(7), L07303 1-4. https://doi.org/10.1029/2003GL018970

@article{a8809462572243f6b369def1e999a49c,

title = "Evaluation of ocean carbon cycle models with data-based metrics",

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.",

author = "K. Matsumoto and Sarmiento, {Jorge Louis} and Key, {R. M.} and O. Aumont and Bullister, {J. L.} and K. Caldeira and Campin, {J. M.} and Doney, {S. C.} and H. Drange and Dutay, {J. C.} and M. Follows and Y. Gao and A. Gnanadesikan and N. Gruber and A. Ishida and F. Joos and K. Lindsay and E. Maier-Reimer and Marshall, {J. C.} and Matear, {R. J.} and P. Monfray and A. Mouchet and R. Najjar and Plattner, {G. K.} and R. Schlitzer and R. Slater and Swathi, {P. S.} and Totterdell, {I. J.} and Weirig, {M. F.} and Y. Yamanaka and A. Yool and Orr, {J. C.}",

year = "2004",

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doi = "10.1029/2003GL018970",

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Matsumoto, K, Sarmiento, JL, Key, RM, Aumont, O, Bullister, JL, Caldeira, K, Campin, JM, Doney, SC, Drange, H, Dutay, JC, Follows, M, Gao, Y, Gnanadesikan, A, Gruber, N, Ishida, A, Joos, F, Lindsay, K, Maier-Reimer, E, Marshall, JC, Matear, RJ, Monfray, P, Mouchet, A, Najjar, R, Plattner, GK, Schlitzer, R, Slater, R, Swathi, PS, Totterdell, IJ, Weirig, MF, Yamanaka, Y, Yool, A & Orr, JC 2004, 'Evaluation of ocean carbon cycle models with data-based metrics', Geophysical Research Letters, vol. 31, no. 7, pp. L07303 1-4. https://doi.org/10.1029/2003GL018970

TY - JOUR

T1 - Evaluation of ocean carbon cycle models with data-based metrics

AU - Matsumoto, K.

AU - Sarmiento, Jorge Louis

AU - Key, R. M.

AU - Aumont, O.

AU - Bullister, J. L.

AU - Caldeira, K.

AU - Campin, J. M.

AU - Doney, S. C.

AU - Drange, H.

AU - Dutay, J. C.

AU - Follows, M.

AU - Gao, Y.

AU - Gnanadesikan, A.

AU - Gruber, N.

AU - Ishida, A.

AU - Joos, F.

AU - Lindsay, K.

AU - Maier-Reimer, E.

AU - Marshall, J. C.

AU - Matear, R. J.

AU - Monfray, P.

AU - Mouchet, A.

AU - Najjar, R.

AU - Plattner, G. K.

AU - Schlitzer, R.

AU - Slater, R.

AU - Swathi, P. S.

AU - Totterdell, I. J.

AU - Weirig, M. F.

AU - Yamanaka, Y.

AU - Yool, A.

AU - Orr, J. C.

PY - 2004/4/16

Y1 - 2004/4/16

N2 - 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.

AB - 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.

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DO - 10.1029/2003GL018970

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AN - SCOPUS:3042702885

SN - 0094-8276

VL - 31

SP - L07303 1-4

JO - Geophysical Research Letters

JF - Geophysical Research Letters

IS - 7

ER -

Evaluation of ocean carbon cycle models with data-based metrics

Abstract

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