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| Titel |
Global ocean storage of anthropogenic carbon |
| VerfasserIn |
S. Khatiwala, T. Tanhua, S. Mikaloff Fletcher, M. Gerber, S. C. Doney, H. D. Graven, N. Gruber, G. A. McKinley, A. Murata, A. F. Ríos, C. L. Sabine |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1726-4170
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| Digitales Dokument |
URL |
| Erschienen |
In: Biogeosciences ; 10, no. 4 ; Nr. 10, no. 4 (2013-04-02), S.2169-2191 |
| Datensatznummer |
250018178
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| Publikation (Nr.) |
 copernicus.org/bg-10-2169-2013.pdf |
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| Zusammenfassung |
| 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. |
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