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

INVESTIGATORS:
Nicolas Gruber ORCID logo - Institute of Biogeochemistry and Pollutant Dynamics (IBP)
Dominic Clement - Environmental Physics, Institute of Biogeochemistry and Pollutant Dynamics, ETH Zurich, Zurich, Switzerland
Brendan R. Carter ORCID logo - NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML)
Richard A. Feely ORCID logo - NOAA Pacific Marine Environmental Laboratory (PMEL)
Steven M. A. C. van Heuven - Groningen University
Mario Hoppema - Alfred Wegener Institute for Polar and Marine Research (AWI)
Masao Ishii ORCID logo - Meteorological Research Institute
Robert M. Key - Princeton University; Department of Geosciences; Program in Atmospheric and Ocean Sciences (AOS)
Alex Kozyr ORCID logo - NOAA National Centers for Environmental Information (NCEI)
Siv K. Lauvset ORCID logo - University of Bergen
Claire Lo Monaco ORCID logo - Sorbonne University (SU)
Jeremy T. Mathis ORCID logo - National Oceanic and Atmospheric Administration, Arctic Research Program, Silver Spring, USA
Akihiko Murata ORCID logo - Meteorological Research Institute
Are Olsen ORCID logo - Bjerknes Centre for Climate Research
Fiz F. Pérez ORCID logo - Instituto de Investigaciones Marinas, CSIC (IIM-CSIC), Vigo, Spain
Christopher L. Sabine ORCID logo - NOAA Pacific Marine Environmental Laboratory (PMEL)
Toste Tanhua ORCID logo - GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany
Rik Wanninkhof ORCID logo - NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML)

PACKAGE DESCRIPTION: This dataset 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.

CITE AS: 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 (2019). The oceanic sink for anthropogenic CO2 from 1994 to 2007 - the data (NCEI Accession 0186034). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/wdn2-pt10. Accessed [date].


IDENTIFICATION INFORMATION FOR THIS DATA PACKAGE:
NCEI ACCESSION: 0186034
NCEI DOI: https://doi.org/10.25921/wdn2-pt10

TYPES OF STUDY:
Calculated anthropogenic CO2 parameters;Model output;

TEMPORAL COVERAGE:
START DATE: 1994-01-01
END DATE: 2007-12-31

SPATIAL COVERAGE:
NORTH: 90
WEST: -180
EAST: 180
SOUTH: -90

GEOGRAPHIC NAMES:
World Oceans;

PLATFORMS:
International Research Ships;

RESEARCH PROJECT(S):
none;


VARIABLES / PARAMETERS:

LONGITUDE
Abbreviation: LONGITUDE
Unit: degrees
LATITUDE
Abbreviation: LATITUDE
Unit: degrees
DEPTH
Abbreviation: DEPTH
Unit: meters
OCEAN_MASK:long_name = "Ocean Mask"
Abbreviation: float OCEAN_MASK
Neutral density
Abbreviation: float GAMMA_DENS
D_t C_{ant} Vs101-Vs114
Abbreviation: float DCANT_01-14
Unit: umol kg-1
Uncertainty D_t C_{ant} Vs101
Abbreviation: float SIGMA_DCANT_01
Unit: umol kg-1

PUBLICATIONS DESCRIBING THIS DATASET:
Clement, D., and N. Gruber (2018), The eMLR(C*) Method to Determine Decadal Changes in the Global Ocean Storage of Anthropogenic CO 2, Global Biogeochem. Cycles, 32(4), 654-679, https://doi.org/10.1002/2017GB005819.
Friis, K., A. Körtzinger, J. Pätsch, and D. W. R. Wallace (2005), On the temporal increase of anthropogenic CO2 in the subpolar North Atlantic, Deep. Res. Part I, 52, 681-698, https://doi.org/10.1016/j.dsr.2004.11.017.
Gruber, N., Clement, D., Carter, B. R., Feely, R. A., van Heuven, S., Hoppema, M., Ishii, M., Key, R. M., Kozyr, A., Lauvset, S. K., Lo Monaco, C., Mathis, J. T., Murata, A., Olsen, A., Perez, F. F., Sabine, C. L., Tanhua, T., Wanninkhof, R. (2019), The oceanic sink for anthropogenic CO2 from 1994 to 2007, Science, 363(6432), 1193-1199, https://doi.org/10.1126/science.aau5153.
Olsen, A. et al. (2016), The Global Ocean Data Analysis Project version 2 (GLODAPv2) - an internally consistent data product for the world ocean, Earth Syst. Sci. Data, 8(2), 297-323, https://doi.org/10.5194/essd-8-297-2016.
ADDITIONAL INFORMATION:
none;
FUNDING AGENCY:

SUBMITTED BY: Nicolas Gruber (nicolas.gruber@env.ethz.ch)

SUBMISSION DATE: 2019-01-11