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Title: Surface Ocean CO2 Atlas (SOCAT) gridded data products
Authors: Sabine, C. L.
Hankin, S.
Koyuk, H.
Bakker, D. C.E.
Pfeil, B.
Olsen, A.
Metzl, N.
Kozyr, A.
Fassbender, A.
Manke, A.
Malczyk, J.
Akl, J.
Alin, S. R.
Bellerby, R. G.J.
Borges, A.
Boutin, J.
Brown, P. J.
Cai, W. J.
Chavez, F. P.
Chen, A.
Cosca, C.
Feely, R. A.
González-Dávila, M. 
Goyet, C.
Hardman-Mountford, N.
Heinze, C.
Hoppema, M.
Hunt, C. W.
Hydes, D.
Ishii, M.
Johannessen, T.
Key, R. M.
Körtzinger, A.
Landschützer, P.
Lauvset, S. K.
Lefèvre, N.
Lenton, A.
Lourantou, A.
Merlivat, L.
Midorikawa, T.
Mintrop, L.
Miyazaki, C.
Murata, A.
Nakadate, A.
Nakano, Y.
Nakaoka, S.
Nojiri, Y.
Omar, A. M.
Padin, X. A.
Park, G. H.
Paterson, K.
Perez, F. F.
Pierrot, D.
Poisson, A.
Ríos, A. F.
Salisbury, J.
Santana-Casiano, J. M. 
S. Sarma, V. V.S.
Schlitzer, R.
Schneider, B.
Schuster, U.
Sieger, R.
Skjelvan, I.
Steinhoff, T.
Suzuki, T.
Takahashi, T.
Tedesco, K.
Telszewski, M.
Thomas, H.
Tilbrook, B.
Vandemark, D.
Veness, T.
Watson, A. J.
Weiss, R.
Wong, C. S.
Yoshikawa-Inoue, H.
UNESCO Clasification: 251002 Oceanografía química
Keywords: Anthropogenic Co2
Issue Date: 2013
Publisher: 1866-3508
Project: Changes in carbon uptake and emissions by oceans in a changing climate ItemCrisRefDisplayStrategy.project.deleted.icon
Journal: Earth System Science Data 
Abstract: As a response to public demand for a well-documented, quality controlled, publically available, global surface ocean carbon dioxide (CO2) data set, the international marine carbon science community developed the Surface Ocean CO2 Atlas (SOCAT). The first SOCAT product is a collection of 6.3 million quality controlled surface CO2 data from the global oceans and coastal seas, spanning four decades (1968–2007). The SOCAT gridded data presented here is the second data product to come from the SOCAT project. Recognizing that some groups may have trouble working with millions of measurements, the SOCAT gridded product was generated to provide a robust, regularly spaced CO2 fugacity (fCO2) product with minimal spatial and temporal interpolation, which should be easier to work with for many applications. Gridded SOCAT is rich with information that has not been fully explored yet (e.g., regional differences in the seasonal cycles), but also contains biases and limitations that the user needs to recognize and address (e.g., local influences on values in some coastal regions).
ISSN: 1866-3508
DOI: 10.5194/essd-5-145-2013
Source: Earth System Science Data [ISSN 1866-3508], v. 5, p. 145-153
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