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

DC Field Value Language
dc.contributor.author Roedenbeck, C. -
dc.contributor.author Bakker, D. C. E. -
dc.contributor.author Gruber, N. -
dc.contributor.author Iida, Y. -
dc.contributor.author Jacobson, A. R. -
dc.contributor.author Jones, S. -
dc.contributor.author Landschuetzer, P. -
dc.contributor.author Metzl, N. -
dc.contributor.author Nakaoka, S. -
dc.contributor.author Olsen, A. -
dc.contributor.author Park, G. -H. -
dc.contributor.author Peylin, P. -
dc.contributor.author Rodgers, K. B. -
dc.contributor.author Sasse, T. P. -
dc.contributor.author Schuster, U. -
dc.contributor.author Shutler, J. D. -
dc.contributor.author Valsala, V. -
dc.contributor.author Wanninkhof, R. -
dc.contributor.author Zeng, J. -
dc.date.accessioned 2020-04-20T03:55:11Z -
dc.date.available 2020-04-20T03:55:11Z -
dc.date.created 2020-02-18 -
dc.date.issued 2015 -
dc.identifier.issn 1726-4170 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/2570 -
dc.description.abstract 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. -
dc.description.uri 1 -
dc.language English -
dc.publisher COPERNICUS GESELLSCHAFT MBH -
dc.subject CO2 FLUX VARIABILITY -
dc.subject COUPLED CLIMATE MODELS -
dc.subject EQUATORIAL PACIFIC -
dc.subject NORTH-ATLANTIC -
dc.subject SYSTEM -
dc.subject TRENDS -
dc.subject FCO(2) -
dc.title Data-based estimates of the ocean carbon sink variability first - results of the Surface Ocean pCO(2) Mapping intercomparison (SOCOM) -
dc.type Article -
dc.citation.endPage 7278 -
dc.citation.startPage 7251 -
dc.citation.title BIOGEOSCIENCES -
dc.citation.volume 12 -
dc.citation.number 23 -
dc.contributor.alternativeName 박근하 -
dc.identifier.bibliographicCitation BIOGEOSCIENCES, v.12, no.23, pp.7251 - 7278 -
dc.identifier.doi 10.5194/bg-12-7251-2015 -
dc.identifier.scopusid 2-s2.0-84949655618 -
dc.identifier.wosid 000372085100008 -
dc.type.docType Article -
dc.description.journalClass 1 -
dc.subject.keywordPlus CO2 FLUX VARIABILITY -
dc.subject.keywordPlus COUPLED CLIMATE MODELS -
dc.subject.keywordPlus EQUATORIAL PACIFIC -
dc.subject.keywordPlus NORTH-ATLANTIC -
dc.subject.keywordPlus SYSTEM -
dc.subject.keywordPlus TRENDS -
dc.subject.keywordPlus FCO(2) -
dc.relation.journalWebOfScienceCategory Ecology -
dc.relation.journalWebOfScienceCategory Geosciences, Multidisciplinary -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Environmental Sciences & Ecology -
dc.relation.journalResearchArea Geology -
Appears in Collections:
Marine Resources & Environment Research Division > Marine Environment Research Department > 1. Journal Articles
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