Data-based estimates of the ocean carbon sink variability – first results of the Surface Ocean pCO₂ Mapping intercomparison (SOCOM)

Christian Rödenbeck (1) , Dorothee C. E. Bakker (2) , Nicolas Gruber (3) , Yosuke Iida (4) , Andrew R. Jacobson (5) , S. Jones (2) , Peter Landschützer (2) , Nicolas Metzl (6) , Shin-Ichiro Nakaoka (7) , Are Olsen (8) , Geun-Ha Park (9) , Philippe Peylin (10, 11) , Keith B. Rodgers (12) , T. P. Sasse (13) , Ute Schuster (2) , J. D. Shutler (14) , Vinu Valsala (15) , Rik H. Wanninkhof (16) , J. Zeng (7)

1 Max-Planck-Institut
2 UEA - University of East Anglia [Norwich]
3 ETH Zürich - Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich]
4 JMA - Japan Meteorological Agency
5 University of Colorado [Boulder]
6 E-CO2 - Équipe CO2
7 NIES - National Institute for Environmental Studies
8 UiB - University of Bergen
9 Chemistry Department [Massachusetts Institute of Technology]
10 LSCE - Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette]
11 MOSAIC - Modélisation des Surfaces et Interfaces Continentales
12 Princeton University
13 UNSW - University of New South Wales [Sydney]
14 University of Exeter
15 IITM - Indian Institute of Tropical Meteorology
16 NOAA - National Oceanic and Atmospheric Administration

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 are 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 spread in the detailed variations, mapping methods that fit the data more closely also tend to agree more closely with each other in regional averages. 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. From a decadal perspective, the global ocean CO₂ uptake is estimated to have gradually increased since about 2000, with little decadal change prior to that. The weighted mean net global ocean CO₂ sink estimated by the SOCOM ensemble is −1.75 PgC yr⁻¹ (1992–2009), consistent within uncertainties with estimates from ocean-interior carbon data or atmospheric oxygen trends.

Domaines: Géophysique [physics.geo-ph]

Christian Rödenbeck, Dorothee C. E. Bakker, Nicolas Gruber, Yosuke Iida, Andrew R. Jacobson, et al.. Data-based estimates of the ocean carbon sink variability – first results of the Surface Ocean pCO₂ Mapping intercomparison (SOCOM). Biogeosciences, 2015, 12 (23), pp.7251-7278. ⟨10.5194/bg-12-7251-2015⟩. ⟨hal-01245530⟩