The oceanic sink for anthropogenic CO2 from 1994 to 2007 - the data (NCEI Accession 0186034)

• Main Authors: Gruber, Nicolas, Clement, Dominic, Carter, Brendan R., Feely, Richard A., Van Heuven, Steven M. A. C., Hoppema, Mario, Ishii, Masao, Key, Robert M., Kozyr, Alex, Lauvset, Siv K., Lo Monaco, Claire, Mathis, Jeremy T., Murata, Akihiko, Olsen, Are, Pérez, Fiz F., Sabine, Christopher L., Tanhua, Toste, Wanninkhof, Rik
• Format: Dataset
• Language: unknown
• Published: NOAA National Centers for Environmental Information 2019
• Subjects: Ocean acidification
• Online Access: https://dx.doi.org/10.25921/wdn2-pt10; https://www.ncei.noaa.gov/archive/accession/0186034

This NCEI accession consists of the estimated changes in the ocean content of anthropogenic CO2 (Cant) between 1994 and 2007 as described in detail in Gruber et al. [2019] (Science). These estimates have been derived from the GLODAPv2 product [Olsen et al., 2016] using the eMLR(C*) method developed by Clement and Gruber [2018]. This method is based on the eMLR method [Friis et al., 2005], which determines the change in Cant on the basis of linear regression fits to data from two different time periods (here the JGOFS–WOCE era (~1994) and the Repeat Hydrography–GO-SHIP era (~2007)). The dataset contains in addition to the standard estimate also the estimates of 13 sensitivity cases, where different elements of the estimation procedure were changed to assess the robustness of the estimates. All estimates are given on 1x1 degree resolution. Two files are provided, i.e., one containing the full three-dimensional distribution of the change in Cant between 1994 and 2007 and one containing the vertically integrated values, i.e., the column inventories. These data provide strong constraints on the role of the ocean as a sink for anthropogenic CO2, and given the global nature of our assessment also constraints on the global carbon budget, specifically the magnitude of the land carbon sink. The estimates will prove also useful to assess ocean acidification and evaluate ocean models with regard to their carbon uptake and storage.