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Schuster, U.; Mckinley, G. A.; Bates, N.; Chevallier, F.; Doney, S. C.; Fay, A. R.; Gonzalez-davila, Melchor; Gruber, N.; Jones, S.; Krijnen, J.; Landschuetzer, P.; Lefevre, N.; Manizza, M.; Mathis, J.; Metzl, N.; Olsen, A.; Rios, A. F.; Roedenbeck, C.; Santana-casiano, J. M.; Takahashi, T.; Wanninkhof, R.; Watson, A. J.. |
The Atlantic and Arctic Oceans are critical components of the global carbon cycle. Here we quantify the net sea-air CO2 flux, for the first time, across different methodologies for consistent time and space scales for the Atlantic and Arctic basins. We present the long-term mean, seasonal cycle, interannual variability and trends in sea-air CO2 flux for the period 1990 to 2009, and assign an uncertainty to each. We use regional cuts from global observations and modeling products, specifically a pCO(2)-based CO2 flux climatology, flux estimates from the inversion of oceanic and atmospheric data, and results from six ocean biogeochemical models. Additionally, we use basin-wide flux estimates from surface ocean pCO(2) observations based on two distinct... |
Tipo: Text |
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Ano: 2013 |
URL: https://archimer.ifremer.fr/doc/00153/26409/24508.pdf |
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Carroll, D.; Menemenlis, D.; Adkins, J. F.; Bowman, K. W.; Brix, H.; Dutkiewicz, S.; Fenty, I.; Gierach, M. M.; Hill, C.; Jahn, O.; Landschutzer, P.; Lauderdale, J. M.; Liu, J.; Manizza, M.; Naviaux, J. D.; Roedenbeck, C.; Schimel, D. S.; Van Der Stocken, T.; Zhang, H.. |
Quantifying variability in the ocean carbon sink remains problematic due to sparse observations and spatiotemporal variability in surface ocean pCO(2). To address this challenge, we have updated and improved ECCO-Darwin, a global ocean biogeochemistry model that assimilates both physical and biogeochemical observations. The model consists of an adjoint-based ocean circulation estimate from the Estimating the Circulation and Climate of the Ocean (ECCO) consortium and an ecosystem model developed by the Massachusetts Institute of Technology Darwin Project. In addition to the data-constrained ECCO physics, a Green's function approach is used to optimize the biogeochemistry by adjusting initial conditions and six biogeochemical parameters. Over seasonal to... |
Tipo: Text |
Palavras-chave: Ocean modeling; Biogeochemistry; Ocean carbon cycle; Data assimilation; Air‐ Sea CO2 flux; Ecosystem model. |
Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00676/78824/81108.pdf |
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