U.S. flag

An official website of the United States government

Dot gov

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Https

Secure .gov websites use HTTPS
A lock () or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Breadcrumb

  1. Home

Decadal Trends in the Oceanic Storage of Anthropogenic Carbon from 1994 to 2014 (NCEI Accession 0279447)

This dataset consists of the estimated decadal changes in the oceanic content of anthropogenic CO2 (∆Cant) between 1994, 2004 and 2014 as described in detail in Müller et al. (2023, in press, AGU Advances). These estimates have been derived from the GLODAPv2.2021 product (Lauvset et al., 2021) using the eMLR(C*) method developed by Clement & Gruber (2018). The datasets contain in addition to the standard estimate also 10 sensitivity cases, which are intended to assess the robustness of the standard estimates to different changes in the estimation procedure. All estimates are provided on a horizontal grid with 1° x 1° resolution. Two primary files are provided: one containing the full three-dimensional distribution of ∆Cant and one containing the vertically integrated values, i.e., the column inventories.

About this Dataset

Updated: 2024-02-22
Metadata Last Updated: 2025-11-19T16:37:04.786Z
Date Created: N/A
Data Provided by:
Dataset Owner: N/A

Access this data

Contact dataset owner Access URL
Table representation of structured data
Title Decadal Trends in the Oceanic Storage of Anthropogenic Carbon from 1994 to 2014 (NCEI Accession 0279447)
Description This dataset consists of the estimated decadal changes in the oceanic content of anthropogenic CO2 (∆Cant) between 1994, 2004 and 2014 as described in detail in Müller et al. (2023, in press, AGU Advances). These estimates have been derived from the GLODAPv2.2021 product (Lauvset et al., 2021) using the eMLR(C*) method developed by Clement & Gruber (2018). The datasets contain in addition to the standard estimate also 10 sensitivity cases, which are intended to assess the robustness of the standard estimates to different changes in the estimation procedure. All estimates are provided on a horizontal grid with 1° x 1° resolution. Two primary files are provided: one containing the full three-dimensional distribution of ∆Cant and one containing the vertically integrated values, i.e., the column inventories.
Modified 2025-11-19T16:37:04.786Z
Publisher Name N/A
Contact N/A
Keywords 0279447 , partial pressure of carbon dioxide - water , carbon dioxide (CO2) gas analyzer , chemical , physical , VARIOUS CHARTERED VESSELS , Bjerknes Centre for Climate Research , ETH Zurich , GEOMAR Helmholtz Centre for Ocean Research Kiel , Institute of Marine Research Vigo , Japan Agency for Marine-Earth Science and Technology , Meteorological Research Institute Japan , NOAA Atlantic Oceanographic and Meteorological Laboratory , NOAA Pacific Marine Environmental Laboratory , University of Hawai'i at Mānoa , University of Washington Cooperative Institute for Climate, Ocean and Ecosystem Studies , ETH Zurich , Ocean Carbon and Acidification Data System (OCADS) , World-Wide Distribution , oceanography , BJERKNES > Bjerknes Centre for Climate Research , DE/GEOMAR > GEOMAR - Helmholtz Centre for Ocean Research Kiel, Germany , DOC/NOAA/OAR/AOML > Atlantic Oceanographic and Meteorological Laboratory, OAR, NOAA, U.S. Department of Commerce , DOC/NOAA/OAR/PMEL > Pacific Marine Environmental Laboratory, OAR, NOAA, U.S. Department of Commerce , JP/JAMSTEC > Japan Agency for Marine-Earth Science and Technology, Japan , JP/JMA/MRI > Meteorological Research Institute, Japan Meteorological Agency, Japan , Ocean Carbon and Acidification Data System (OCADS) Project , EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CARBON DIOXIDE , Data Product , dcant , CO2 ANALYZERS > CO2 ANALYZERS , GEOGRAPHIC REGION > GLOBAL OCEAN , World Ocean , environment , oceans
{
    "identifier": "gov.noaa.nodc:0279447",
    "accessLevel": "public",
    "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Your contact point",
        "hasEmail": "mailto:[email protected]"
    },
    "programCode": [
        "010:000"
    ],
    "landingPage": "",
    "title": "Decadal Trends in the Oceanic Storage of Anthropogenic Carbon from 1994 to 2014 (NCEI Accession 0279447)",
    "description": "This dataset consists of the estimated decadal changes in the oceanic content of anthropogenic CO2 (\u2206Cant) between 1994, 2004 and 2014 as described in detail in M\u00fcller et al. (2023, in press, AGU Advances). These estimates have been derived from the GLODAPv2.2021 product (Lauvset et al., 2021) using the eMLR(C*) method developed by Clement & Gruber (2018). The datasets contain in addition to the standard estimate also 10 sensitivity cases, which are intended to assess the robustness of the standard estimates to different changes in the estimation procedure. All estimates are provided on a horizontal grid with 1\u00b0 x 1\u00b0 resolution. Two primary files are provided: one containing the full three-dimensional distribution of \u2206Cant and one containing the vertically integrated values, i.e., the column inventories.",
    "language": "",
    "distribution": [
        {
            "@type": "dcat:Distribution",
            "mediaType": "application\/json",
            "accessURL": "https:\/\/www.ncei.noaa.gov\/metadata\/geoportal\/\/rest\/metadata\/item\/gov.noaa.nodc%3A0279447"
        },
        {
            "@type": "dcat:Distribution",
            "mediaType": "text\/html",
            "accessURL": "https:\/\/www.ncei.noaa.gov\/metadata\/geoportal\/\/rest\/metadata\/item\/gov.noaa.nodc%3A0279447\/html"
        },
        {
            "@type": "dcat:Distribution",
            "mediaType": "application\/xml",
            "accessURL": "https:\/\/www.ncei.noaa.gov\/metadata\/geoportal\/\/rest\/metadata\/item\/gov.noaa.nodc%3A0279447\/xml"
        },
        {
            "@type": "dcat:Distribution",
            "mediaType": "application\/octet-stream",
            "accessURL": "https:\/\/www.ncei.noaa.gov\/access\/metadata\/landing-page\/bin\/gfx?id=gov.noaa.nodc:0279447"
        }
    ],
    "bureauCode": [
        "010:04"
    ],
    "modified": "2025-11-19T16:37:04.786Z",
    "publisher": {
        "@type": "org:Organization",
        "name": "Your Publisher"
    },
    "theme": "",
    "keyword": [
        "0279447",
        "partial pressure of carbon dioxide - water",
        "carbon dioxide (CO2) gas analyzer",
        "chemical",
        "physical",
        "VARIOUS CHARTERED VESSELS",
        "Bjerknes Centre for Climate Research",
        "ETH Zurich",
        "GEOMAR Helmholtz Centre for Ocean Research Kiel",
        "Institute of Marine Research Vigo",
        "Japan Agency for Marine-Earth Science and Technology",
        "Meteorological Research Institute Japan",
        "NOAA Atlantic Oceanographic and Meteorological Laboratory",
        "NOAA Pacific Marine Environmental Laboratory",
        "University of Hawai'i at M\u0101noa",
        "University of Washington Cooperative Institute for Climate, Ocean and Ecosystem Studies",
        "ETH Zurich",
        "Ocean Carbon and Acidification Data System (OCADS)",
        "World-Wide Distribution",
        "oceanography",
        "BJERKNES > Bjerknes Centre for Climate Research",
        "DE\/GEOMAR > GEOMAR - Helmholtz Centre for Ocean Research Kiel, Germany",
        "DOC\/NOAA\/OAR\/AOML > Atlantic Oceanographic and Meteorological Laboratory, OAR, NOAA, U.S. Department of Commerce",
        "DOC\/NOAA\/OAR\/PMEL > Pacific Marine Environmental Laboratory, OAR, NOAA, U.S. Department of Commerce",
        "JP\/JAMSTEC > Japan Agency for Marine-Earth Science and Technology, Japan",
        "JP\/JMA\/MRI > Meteorological Research Institute, Japan Meteorological Agency, Japan",
        "Ocean Carbon and Acidification Data System (OCADS) Project",
        "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CARBON DIOXIDE",
        "Data Product",
        "dcant",
        "CO2 ANALYZERS > CO2 ANALYZERS",
        "GEOGRAPHIC REGION > GLOBAL OCEAN",
        "World Ocean",
        "environment",
        "oceans"
    ]
}