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Evaluating Global Ocean Carbon Models: The Importance of Realistic Physics

Bergen Open Research Archive

Show simple item record Doney, S. C. Lindsay, K. Caldeira, Ken Campin, J. M. Drange, Helge Dutay, J. C. Follows, M. Gao, Yongqi Gnanadesikan, A. Gruber, N. Ishida, A. Joos, Fortunat Madec, G. Maier-Reimer, E. Marshall, J. C. Matear, R. J. Monfray, P. Mouchet, A. Najjar, R. Orr, J. C. Plattner, G. K. Sarmiento, J. L. Schlitzer, R. Slater, R. Totterdell, I. J. Weirig, M. F. Yamanaka, Y. Yool, A. 2005-02-11T08:46:13Z 2005-02-11T08:46:13Z 2004-09-15
dc.identifier.citation Global Biogeochemical Cycles 2004 18, GB3017 en
dc.identifier.issn 0886-6236
dc.description An edited version of this paper was published by AGU. Copyright 2004 American Geophysical Union.
dc.description.abstract A suite of standard ocean hydrographic and circulation metrics are applied to the equilibrium physical solutions from 13 global carbon models participating in phase 2 of the Ocean Carbon-cycle Model Intercomparison Project (OCMIP-2). Model-data comparisons are presented for sea surface temperature and salinity, seasonal mixed layer depth, meridional heat and freshwater transport, 3-D hydrographic fields, and meridional overturning. Considerable variation exists among the OCMIP-2 simulations, with some of the solutions falling noticeably outside available observational constraints. For some cases, model-model and model-data differences can be related to variations in surface forcing, subgrid-scale parameterizations, and model architecture. These errors in the physical metrics point to significant problems in the underlying model representations of ocean transport and dynamics, problems that directly affect the OCMIP predicted ocean tracer and carbon cycle variables (e.g., air-sea CO2 flux, chlorofluorocarbon and anthropogenic CO2 uptake, and export production). A substantial fraction of the large model-model ranges in OCMIP-2 biogeochemical fields (±25–40%) represents the propagation of known errors in model physics. Therefore the model-model spread likely overstates the uncertainty in our current understanding of the ocean carbon system, particularly for transport-dominated fields such as the historical uptake of anthropogenic CO2. A full error assessment, however, would need to account for additional sources of uncertainty such as more complex biological-chemical-physical interactions, biases arising from poorly resolved or neglected physical processes, and climate change. en
dc.format.extent 2804013 bytes
dc.format.mimetype application/pdf
dc.language.iso eng en
dc.publisher American Geophysical Union en
dc.subject Oceanography en
dc.title Evaluating Global Ocean Carbon Models: The Importance of Realistic Physics en
dc.type Journal article en
dc.type Peer reviewed en

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