Data-based estimates of the ocean carbon sink variability – first results of the Surface Ocean pCO2 Mapping intercomparison (SOCOM)
| Type | Article | ||||||||||||
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| Date | 2015-08-27 | ||||||||||||
| Language | English | ||||||||||||
| Author(s) | Rödenbeck C.1, Bakker D. C. E.2, Gruber N.3, Iida Y.4, Jacobson A. R.5, 16, Jones S.13, Landschützer P.3, Metzl N.6, Nakaoka S.7, Olsen A.8, 17, Park G.-H.9, Peylin P.10, Rodgers K. B.11, Sasse T. P.12, Schuster U.13, Shutler J. D.13, Valsala V.14, Wanninkhof R.15, Zeng J.7 | ||||||||||||
| Affiliation(s) | 1 : Max Planck Institute for Biogeochemistry, Jena, Germany 2 : Centre for Ocean and Atmospheric Sciences, School of Environmental Sciences, University of East Anglia, Norwich, UK 3 : nstitute for Biogeochemistry and Pollutant Dynamics, ETH Zürich, Zürich, Switzerland 4 : Global Environment and Marine Department, Japan Meteorological Agency, Tokyo, Japan 5 : University of Colorado, Boulder Colorado, USA 6 : Sorbonne Universités (UPMC, Univ Paris 06)-CNRS-IRD-MNHN, LOCEAN/IPSL Laboratory, Paris, France 7 : National Institute for Environmental Studies, Tsukuba, Japan 8 : Geophysical Institute, University of Bergen, Bergen, Norway 9 : East Sea Research Institute, Korea Institute of Ocean Science and Technology, Uljin, Republic of Korea 10 : Laboratoire des Sciences du Climat et de l'Environnement (LSCE), Gif sur Yvette, France 11 : AOS Program, Princeton University, NJ, USA 12 : Climate Change Research Centre, University of New South Wales, Sydney, Australia 13 : College of Life and Environmental Sciences, University of Exeter, UK 14 : Indian Institute of Tropical Meteorology, Pune, India 15 : NOAA/AOML, 4301 Rickenbacker Causeway, Miami, FL, USA 16 : NOAA Earth System Research Laboratory, Boulder Colorado, USA 17 : Bjerknes Centre for Climate Research, Bergen, Norway |
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| Source | Biogeosciences (1726-4189) (Copernicus GmbH), 2015-08-27 , Vol. 12 , N. 23 , P. 7251-7278 | ||||||||||||
| DOI | 10.5194/bg-12-7251-2015 | ||||||||||||
| Abstract | Using measurements of the surface-ocean CO2 partial pressure (pCO2) and 14 different pCO2 mapping methods recently collated by the Surface Ocean pCO2 Mapping intercomparison (SOCOM) initiative, variations in regional and global sea–air CO2 fluxes have been investigated. Though the available mapping methods use widely different approaches, we find relatively consistent estimates of regional pCO2 seasonality, in line with previous estimates. In terms of interannual variability (IAV), all mapping methods estimate the largest variations to occur in the Eastern equatorial Pacific. Despite considerable spead in the detailed variations, mapping methods with closer match to the data also tend to be more consistent with each other. Encouragingly, this includes mapping methods belonging to complementary types – taking variability either directly from the pCO2 data or indirectly from driver data via regression. From a weighted ensemble average, we find an IAV amplitude of the global sea–air CO2 flux of 0.31 PgC yr−1 (standard deviation over 1992–2009), which is larger than simulated by biogeochemical process models. On a decadal perspective, the global CO2 uptake is estimated to have gradually increased since about 2000, with little decadal change prior to 2000. The weighted mean total ocean CO2 sink estimated by the SOCOM ensemble is consistent within uncertainties with estimates from ocean-interior carbon data or atmospheric oxygen trends. | ||||||||||||
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