Articles | Volume 12, issue 23
https://doi.org/10.5194/bg-12-7251-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-12-7251-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Data-based estimates of the ocean carbon sink variability – first results of the Surface Ocean pCO2 Mapping intercomparison (SOCOM)
C. Rödenbeck
Max Planck Institute for Biogeochemistry, Jena, Germany
D. C. E. Bakker
Centre for Ocean and Atmospheric Sciences, School of Environmental Sciences, University of East Anglia, Norwich, UK
N. Gruber
Institute for Biogeochemistry and Pollutant Dynamics, ETH Zürich, Zürich, Switzerland
Global Environment and Marine Department, Japan Meteorological Agency, Tokyo, Japan
A. R. Jacobson
University of Colorado and NOAA Earth System Research Laboratory, Boulder, CO, USA
College of Life and Environmental Sciences, University of Exeter, UK
P. Landschützer
Institute for Biogeochemistry and Pollutant Dynamics, ETH Zürich, Zürich, Switzerland
N. Metzl
Sorbonne Universités (UPMC, Univ Paris 06)-CNRS-IRD-MNHN, LOCEAN/IPSL Laboratory, Paris, France
S. Nakaoka
National Institute for Environmental Studies, Tsukuba, Japan
Geophysical Institute, University of Bergen and Bjerknes Centre for Climate Research, Bergen, Norway
G.-H. Park
East Sea Research Institute, Korea Institute of Ocean Science and Technology, Uljin, Republic of Korea
P. Peylin
Laboratoire des Sciences du Climat et de l'Environnement (LSCE), Gif sur Yvette, France
K. B. Rodgers
Atmospheric and Oceanic Sciences Program, Princeton University, NJ, USA
T. P. Sasse
Climate Change Research Centre, University of New South Wales, Sydney, Australia
U. Schuster
College of Life and Environmental Sciences, University of Exeter, UK
J. D. Shutler
College of Life and Environmental Sciences, University of Exeter, UK
V. Valsala
Indian Institute of Tropical Meteorology, Pune, India
R. Wanninkhof
NOAA Atlantic Oceanographic and Meteorological Laboratory, Miami, FL, USA
J. Zeng
National Institute for Environmental Studies, Tsukuba, Japan
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Short summary
This study investigates variations in the CO2 uptake of the ocean from year to year. These variations have been calculated from measurements of the surface-ocean carbon content by various different interpolation methods. The equatorial Pacific is estimated to be the region with the strongest year-to-year variations, tied to the El Nino phase. The global ocean CO2 uptake gradually increased from about the year 2000. The comparison of the interpolation methods identifies these findings as robust.
This study investigates variations in the CO2 uptake of the ocean from year to year. These...
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