FN Archimer Export Format
PT J
TI Data-based estimates of the ocean carbon sink variability – first results of the Surface Ocean pCO2 Mapping intercomparison (SOCOM)
BT 
AF Rödenbeck, C.
   Bakker, D. C. E.
   Gruber, N.
   Iida, Y.
   Jacobson, A. R.
   Jones, S.
   Landschützer, P.
   Metzl, N.
   Nakaoka, S.
   Olsen, A.
   Park, G.-H.
   Peylin, P.
   Rodgers, K. B.
   Sasse, T. P.
   Schuster, U.
   Shutler, J. D.
   Valsala, V.
   Wanninkhof, R.
   Zeng, J.
AS 1:1;2:2;3:3;4:4;5:5,16;6:13;7:3;8:6;9:7;10:8,17;11:9;12:10;13:11;14:12;15:13;16:13;17:14;18:15;19:7;
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C1 Max Planck Institute for Biogeochemistry, Jena, Germany
   Centre for Ocean and Atmospheric Sciences, School of Environmental Sciences, University of East Anglia, Norwich, UK
   nstitute for Biogeochemistry and Pollutant Dynamics, ETH Zürich, Zürich, Switzerland
   Global Environment and Marine Department, Japan Meteorological Agency, Tokyo, Japan
   University of Colorado, Boulder Colorado, USA
   Sorbonne Universités (UPMC, Univ Paris 06)-CNRS-IRD-MNHN, LOCEAN/IPSL Laboratory, Paris, France
   National Institute for Environmental Studies, Tsukuba, Japan
   Geophysical Institute, University of Bergen, Bergen, Norway
   East Sea Research Institute, Korea Institute of Ocean Science and Technology, Uljin, Republic of Korea
   Laboratoire des Sciences du Climat et de l'Environnement (LSCE), Gif sur Yvette, France
   AOS Program, Princeton University, NJ, USA
   Climate Change Research Centre, University of New South Wales, Sydney, Australia
   College of Life and Environmental Sciences, University of Exeter, UK
   Indian Institute of Tropical Meteorology, Pune, India
   NOAA/AOML, 4301 Rickenbacker Causeway, Miami, FL, USA
   NOAA Earth System Research Laboratory, Boulder Colorado, USA
   Bjerknes Centre for Climate Research, Bergen, Norway
C2 MAX PLANCK INST, GERMANY
   UNIV E ANGLIA, UK
   ETH ZURICH, SWITZERLAND
   JAPAN METEOROL AGCY, JAPAN
   UNIV COLORADO, USA
   UNIV PARIS 06, FRANCE
   NIES, JAPAN
   UNIV BERGEN, NORWAY
   KIOST, SOUTH KOREA
   LSCE, FRANCE
   UNIV PRINCETON, USA
   UNIV NEW SOUTH WALES, AUSTRALIA
   UNIV EXETER, UK
   IITM, INDIA
   NOAA, USA
   NOAA, USA
   BCCR, NORWAY
IN DOAJ
TC 0
UR https://archimer.ifremer.fr/doc/00293/40407/38967.pdf
   https://archimer.ifremer.fr/doc/00293/40407/93123.pdf
LA English
DT Article
CR OISO 8
   OISO1
   OISO2
   OISO3-NIVMER98
   OISO4 (VT 46)
   OISO5 (VT 49)
   VT 105 / OISO 17
   VT 108 / OISO-18
   VT 114 / OISO-19
   VT 117 / OISO-20
   VT 120 / OISO-21
   VT 127 / OISO-22
   VT 136 / OISO-23
   VT 142 / OISO-24
   VT 51 / OISO 6
   VT 57 / OISO 9
   VT 60 / CARAUS - OISO 10
   VT 62 / CARAUS - OISO 11
   VT 79 / OISO 12
   VT 80 / OISO 13
   VT 81 / OISO 14
   VT 85 / OISO 15
   VT 94 / OISO 16
BO Marion Dufresne
AB 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.
PY 2015
PD AUG
SO Biogeosciences
SN 1726-4189
PU Copernicus GmbH
VL 12
IS 23
BP 7251
EP 7278
DI 10.5194/bg-12-7251-2015
ID 40407
ER

EF