Interannual sea–air CO2 flux variability from an observation-driven ocean mixed-layer scheme

Type Article
Date 2014
Language English
Author(s) Roedenbeck C.1, Bakker D. C. E.2, Metzl N.3, Olsen A.4, 5, 6, 7, Sabine C.8, Cassar N.9, Reum F.1, Keeling R. F.10, Heimann M.1
Affiliation(s) 1 : Max Planck Inst Biogeochem, D-07745 Jena, Germany.
2 : Univ E Anglia, Sch Environm Sci, Norwich NR4 7TJ, Norfolk, England.
3 : CNRS, LOCEAN IPSL, Paris, France.
4 : Univ Bergen, Inst Geophys, Bergen, Norway.
5 : Bjerknes Ctr Climate Res, Bergen, Norway.
6 : Uni Res AS, Uni Climate, Bergen, Norway.
7 : Bjerknes Ctr Climate Res, Bergen, Norway.
8 : NOAA, Pacific Marine Environm Lab, Seattle, WA 98115 USA.
9 : Duke Univ, Div Earth & Ocean Sci, Durham, NC 27706 USA.
10 : Univ Calif San Diego, Scripps Inst Oceanog, San Diego, CA 92103 USA.
Source Biogeosciences (1726-4170) (Copernicus Gesellschaft Mbh), 2014 , Vol. 11 , N. 17 , P. 4599-4613
DOI 10.5194/bg-11-4599-2014
WOS© Times Cited 87
Note Special issue 9th International Carbon Dioxide Conference (ICDC9).
Abstract Interannual anomalies in the sea–air carbon dioxide (CO2) exchange have been estimated from surface-ocean CO2 partial pressure measurements. Available data are sufficient to constrain these anomalies in large parts of the tropical and North Pacific and in the North Atlantic, in some areas covering the period from the mid 1980s to 2011. Global interannual variability is estimated as about 0.31 Pg C yr−1 (temporal standard deviation 1993–2008). The tropical Pacific accounts for a large fraction of this global variability, closely tied to El Niño–Southern Oscillation (ENSO). Anomalies occur more than 6 months later in the east than in the west. The estimated amplitude and ENSO response are roughly consistent with independent information from atmospheric oxygen data. This both supports the variability estimated from surface-ocean carbon data and demonstrates the potential of the atmospheric oxygen signal to constrain ocean biogeochemical processes. The ocean variability estimated from surface-ocean carbon data can be used to improve land CO2 flux estimates from atmospheric inversions.
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