contact: - organization: {email: ncei.info@noaa.gov, name: NOAA National Centers for Environmental Information} roles: [custodian] - organization: {email: null, name: NOAA National Centers for Environmental Information} roles: [custodian] distribution: - name: {en: Project Metadata, fr: Project Metadata (FR)} url: https://www.ncei.noaa.gov/data/oceans/ncei/ocads/metadata/0186034.html - name: {en: NCEI Dataset Landing Page, fr: NCEI Dataset Landing Page (FR)} url: https://doi.org/10.25921/wdn2-pt10 - name: {en: Descriptive Information, fr: Descriptive Information (FR)} url: https://www.ncei.noaa.gov/archive/accession/oas/186034 - name: {en: HTTPS, fr: HTTPS (FR)} url: https://www.ncei.noaa.gov/archive/accession/download/186034 - name: {en: FTP, fr: FTP (FR)} url: ftp://ftp-oceans.ncei.noaa.gov/nodc/archive/arc0132/0186034/ - name: {en: CIOOS HTTP, fr: SIOOC HTTP} url: https://data.cioospacific.ca/ocads/gov.noaa.nodc_0186034/ identification: abstract: en: 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. fr: 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. (FR) translations: fr: {message: Auto-translated using AWS, validated: false} acknowledgement: acknowledgement associated_resources: [] keywords: default: en: [0186034, CO2 ANALYZERS > CO2 ANALYZERS, Calculated anthropogenic CO2 parameters, DEPTH, DISSOLVED INORGANIC CARBON (DIC), EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > INORGANIC CARBON, ETH Zurich, GLOBAL OCEAN DATA ANALYSIS PROJECT (GLODAP), GLODAP, GLODAP > Global Ocean Data Analysis Project, LATITUDE, LONGITUDE, Model output, Ocean Carbon and Acidification Data System (OCADS) Project, The oceanic sink for anthropogenic CO2, VARIOUS CHARTERED VESSELS, World Oceans, World-Wide Distribution, anthropogenic CO2, float DCANT_01-14, float GAMMA_DENS, float OCEAN_MASK, float SIGMA_DCANT_01, water chemistry] fr: [0186034 (FR), CO2 ANALYZERS > CO2 ANALYZERS (FR), Calculated anthropogenic CO2 parameters (FR), DEPTH (FR), DISSOLVED INORGANIC CARBON (DIC) (FR), EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > INORGANIC CARBON (FR), ETH Zurich (FR), GLOBAL OCEAN DATA ANALYSIS PROJECT (GLODAP) (FR), GLODAP (FR), GLODAP > Global Ocean Data Analysis Project (FR), LATITUDE (FR), LONGITUDE (FR), Model output (FR), Ocean Carbon and Acidification Data System (OCADS) Project (FR), The oceanic sink for anthropogenic CO2 (FR), VARIOUS CHARTERED VESSELS (FR), World Oceans (FR), World-Wide Distribution (FR), anthropogenic CO2 (FR), float DCANT_01-14 (FR), float GAMMA_DENS (FR), float OCEAN_MASK (FR), float SIGMA_DCANT_01 (FR), water chemistry (FR)] eov: en: [GEOGRAPHIC REGION > GLOBAL OCEAN, carbon dioxide (CO2) gas analyzer, oceanography] fr: [GEOGRAPHIC REGION > GLOBAL OCEAN (FR), carbon dioxide (CO2) gas analyzer (FR), oceanography (FR)] project: en: [project_a, project_b] fr: [project_a in french, project_b in french] status: onGoing temporal_begin: '1950-07-31' temporal_duration: P1D temporal_end: '2025-04-16' time_coverage_resolution: P1D title: en: The oceanic sink for anthropogenic CO2 from 1994 to 2007 - the data (NCEI Accession 0186034) fr: The oceanic sink for anthropogenic CO2 from 1994 to 2007 - the data (NCEI Accession 0186034) (FR) translations: fr: {message: Auto-translated using AWS, validated: false} instruments: - description: {en: null, fr: null} id: null manufacturer: null type: {en: null, fr: null} version: null metadata: comment: auto-generated comment dates: {creation: '2024-01-01'} history: - scope: model statement: en: null fr: None (FR) translations: fr: {message: text translated using the Amazon translate service / texte traduit à l'aide du service de traduction Amazon, verified: false} - scope: model statement: en: null fr: None (FR) translations: fr: {message: text translated using the Amazon translate service / texte traduit à l'aide du service de traduction Amazon, verified: false} identifier: gov.noaa.nodc:0186034 language: en maintenance_note: auto-generated naming_authority: ca.cioos scope: model use_constraints: licence: {code: CC-BY-4.0, title: Creative Commons Attribution 4.0, url: 'https://creativecommons.org/licenses/by/4.0/'} limitations: en: limitations in english fr: limitations in french translations: fr: {message: Auto-translated using AWS, validated: false} spatial: bbox: [-180.0, -90.0, 180.0, 90.0] description: description of the spatial extent or study area of the dataset descriptionIdentifier: A2345-FS323-DG434-345DG vertical: [0, 10] vertical_positive: down