Data-based estimates of the ocean carbon sink variability first - results of the Surface Ocean pCO(2) Mapping intercomparison (SOCOM)

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, Rik; Zeng, J.

doi:10.5194/bg-12-7251-2015

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Data-based estimates of the ocean carbon sink variability first - results of the Surface Ocean pCO(2) Mapping intercomparison (SOCOM)

2015
By Rödenbeck, C. ; Bakker, D. C. E. ; Gruber, N. ; ...
Source: Biogeosciences, 12(23), 7251-7278.

[PDF-3.01 MB]

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Journal Title:

Biogeosciences
Personal Author:

Rödenbeck, C. ; Bakker, D. C. E. ; Gruber, N. ; Iida, Y. ; Jacobson, A. R. ; ... More +

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, Rik ; Zeng, J. Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; AOML (Atlantic Oceanographic and Meteorological Laboratory) ; ESRL (Earth System Research Laboratory)

OAR (Oceanic and Atmospheric Research) ; AOML (Atlantic Oceanographic and Meteorological Laboratory) ; ESRL (Earth System Research Laboratory) Less -
Description:

Using measurements of the surface-ocean CO2 partial pressure (pCO(2)) and 14 different pcO(2) mapping methods recently collated by the Surface Ocean pcO(2) 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 pcO(2) 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 pcO(2) 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.
Source:

Biogeosciences, 12(23), 7251-7278.
DOI:

https://doi.org/10.5194/bg-12-7251-2015
Format:

PDF
Document Type:

Journal Article
Funding:

Grant no. NA08OAR4320752
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CC BY
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Submitted
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urn:sha-512:94934dbb6bee6d75ef1f84735d52cc3c021b218a3db01c50c58e32a401eb29e7a937e9885bab41e80a61e9452f22f04694f1abfd11bf6052c50287022ac2a3ab
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Data-based estimates of the ocean carbon sink variability first - results of the Surface Ocean pCO(2) Mapping intercomparison (SOCOM)

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