Evaluation of ocean model ventilation with CFC-11: comparison of 13 global ocean models ...

We compared the 13 models participating in the Ocean Carbon Model Intercomparison Project (OCMIP) with regards to their skill in matching observed distributions of CFC-11. This analysis characterizes the abilities of these models to ventilate the ocean on timescales relevant for anthropogenic CO2 up...

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Bibliographic Details
Main Authors: Dutay, J.-C., Bullister, J.L., Doney, S.C., Orr, J.C., Najjar, R., Caldeira, K., Campin, J.-M., Drange, H., Follows, M., Gao, Y., Gruber, N., Hecht, M.W., Ishida, A., Joos, Fortunat, Lindsay, K., Madec, G., Maier-Reimer, E., Marshall, J.C., Matear, R.J., Monfray, P., Mouchet, A., Plattner, Gian-Kasper, Sarmiento, J., Schlitzer, R., Slater, R., Totterdell, I.J., Weirig, M.-F., Yamanaka, Y., Yool, A.
Format: Article in Journal/Newspaper
Language:English
Published: University of Bern 2002
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Online Access:https://dx.doi.org/10.48350/158569
https://boris-portal.unibe.ch/handle/20.500.12422/43221
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Summary:We compared the 13 models participating in the Ocean Carbon Model Intercomparison Project (OCMIP) with regards to their skill in matching observed distributions of CFC-11. This analysis characterizes the abilities of these models to ventilate the ocean on timescales relevant for anthropogenic CO2 uptake. We found a large range in the modeled global inventory (±30%), mainly due to differences in ventilation from the high latitudes. In the Southern Ocean, models differ particularly in the longitudinal distribution of the CFC uptake in the intermediate water, whereas the latitudinal distribution is mainly controlled by the subgrid-scale parameterization. Models with isopycnal diffusion and eddy-induced velocity parameterization produce more realistic intermediate water ventilation. Deep and bottom water ventilation also varies substantially between the models. Models coupled to a sea-ice model systematically provide more realistic AABW formation source region; however these same models also largely overestimate ...