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dc.contributor.author
Khatiwala, Samar P.
dc.contributor.author
Tanhua, Toste
dc.contributor.author
Mikaloff Fletcher, Sara E.
dc.contributor.author
Gerber, Markus
dc.contributor.author
Doney, Scott C.
dc.contributor.author
Graven, Heather D.
dc.contributor.author
Gruber, Nicolas
dc.contributor.author
McKinley, G.A.
dc.contributor.author
Murata, Akihiko
dc.contributor.author
Rios, A.F.
dc.contributor.author
Sabine, C.L.
dc.date.accessioned
2018-09-17T15:31:55Z
dc.date.available
2017-06-10T17:27:35Z
dc.date.available
2018-09-17T15:13:27Z
dc.date.available
2018-09-17T15:31:55Z
dc.date.issued
2013
dc.identifier.issn
1726-4170
dc.identifier.issn
1726-4170
dc.identifier.other
10.5194/bg-10-2169-2013
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/67385
dc.identifier.doi
10.3929/ethz-b-000067385
dc.description.abstract
The global ocean is a significant sink for anthropogenic carbon (Cant), absorbing roughly a third of human CO2 emitted over the industrial period. Robust estimates of the magnitude and variability of the storage and distribution of Cant in the ocean are therefore important for understanding the human impact on climate. In this synthesis we review observational and model-based estimates of the storage and transport of Cant in the ocean. We pay particular attention to the uncertainties and potential biases inherent in different inference schemes. On a global scale, three data-based estimates of the distribution and inventory of Cant are now available. While the inventories are found to agree within their uncertainty, there are considerable differences in the spatial distribution. We also present a review of the progress made in the application of inverse and data assimilation techniques which combine ocean interior estimates of Cant with numerical ocean circulation models. Such methods are especially useful for estimating the air–sea flux and interior transport of Cant, quantities that are otherwise difficult to observe directly. However, the results are found to be highly dependent on modeled circulation, with the spread due to different ocean models at least as large as that from the different observational methods used to estimate Cant. Our review also highlights the importance of repeat measurements of hydrographic and biogeochemical parameters to estimate the storage of Cant on decadal timescales in the presence of the variability in circulation that is neglected by other approaches. Data-based Cant estimates provide important constraints on forward ocean models, which exhibit both broad similarities and regional errors relative to the observational fields. A compilation of inventories of Cant gives us a "best" estimate of the global ocean inventory of anthropogenic carbon in 2010 of 155 ± 31 PgC (±20% uncertainty). This estimate includes a broad range of values, suggesting that a combination of approaches is necessary in order to achieve a robust quantification of the ocean sink of anthropogenic CO2.
en_US
dc.format
application/pdf
dc.language.iso
en
en_US
dc.publisher
Copernicus
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/3.0/
dc.title
Global ocean storage of anthropogenic carbon
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 3.0 Unported
dc.date.published
2013-04-02
ethz.journal.title
Biogeosciences
ethz.journal.volume
10
en_US
ethz.journal.issue
4
en_US
ethz.pages.start
2169
en_US
ethz.pages.end
2191
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.identifier.nebis
006289717
ethz.publication.place
Göttingen
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02721 - Inst. f. Biogeochemie u. Schadstoffdyn. / Inst. Biogeochem. and Pollutant Dynamics::03731 - Gruber, Nicolas / Gruber, Nicolas
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02721 - Inst. f. Biogeochemie u. Schadstoffdyn. / Inst. Biogeochem. and Pollutant Dynamics::03731 - Gruber, Nicolas / Gruber, Nicolas
ethz.relation.isNewVersionOf
10.3929/ethz-b-000062871
ethz.date.deposited
2017-06-10T17:28:34Z
ethz.source
ECIT
ethz.identifier.importid
imp593650a421e5f16666
ethz.ecitpid
pub:107294
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-19T01:33:59Z
ethz.rosetta.lastUpdated
2021-02-15T01:46:59Z
ethz.rosetta.versionExported
true
ethz.COinS
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