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

DC Field Value Language
dc.contributor.author Christian Rodenback -
dc.contributor.author Dorothee Bakker -
dc.contributor.author Nicolas Bates -
dc.contributor.author Yosuke Iida -
dc.contributor.author Andy Jacobson -
dc.contributor.author Steve Jones -
dc.contributor.author Peter Landschutzer -
dc.contributor.author Nicolas Metzl -
dc.contributor.author Shin-ichiro Nakaoka -
dc.contributor.author Are Olsen -
dc.contributor.author 박근하 -
dc.contributor.author Philippe Peylin -
dc.contributor.author Keith Rodgers -
dc.contributor.author Tristan Sasse -
dc.contributor.author Ute Schuster -
dc.contributor.author James Shutler -
dc.contributor.author Vinu Valsala -
dc.contributor.author Rik Wanninkhof -
dc.contributor.author Jiye Zeng -
dc.date.accessioned 2020-07-15T21:54:14Z -
dc.date.available 2020-07-15T21:54:14Z -
dc.date.created 2020-02-11 -
dc.date.issued 2016-04-18 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/24907 -
dc.description.abstract Using measurements of the surface-ocean CO2 partial pressure (pCO2) from the SOCAT and LDEO data bases and 14 different pCO2 mapping methods recently collated by the Surface Ocean pCO2 Mapping intercomparison(SOCOM) initiative, variations in regional and global sea&#8211 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 &#8211 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&#8211 air CO2 flux of 0.31 PgC yr-1 (standard deviation over 1992&#8211 2009), which is larger than simulated by biogeochemical process models. On 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 in regional and global sea&#8211 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 &#8211 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&#8211 air CO2 flux of 0.31 PgC yr-1 (standard deviation over 1992&#8211 2009), which is larger than simulated by biogeochemical process models. On 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 -
dc.description.uri 1 -
dc.language English -
dc.publisher European Geosciences Union -
dc.relation.isPartOf European Geosciences Union General Assembly 2016 -
dc.title Data-based estimates of the ocean carbon sink variability-results of the Surface Ocean pCO2 Mapping intercomparison (SOCOM) -
dc.title.alternative Data-based estimates of the ocean carbon sink variability- results of the Surface Ocean pCO2 Mapping intercomparison (SOCOM) -
dc.type Conference -
dc.citation.title European Geosciences Union General Assembly 2016 -
dc.contributor.alternativeName 박근하 -
dc.identifier.bibliographicCitation European Geosciences Union General Assembly 2016 -
dc.description.journalClass 1 -
Appears in Collections:
Marine Resources & Environment Research Division > Marine Environment Research Department > 2. Conference Papers
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