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A combined global ocean pCO2 climatology combining open ocean and coastal areas (NCEI Accession 0209633)


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            title:  A combined global ocean pCO2 climatology combining open ocean and coastal areas (NCEI Accession 0209633)
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                date:  2020-04-08
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                  Anchor:  DOI 10.25921/qb25-f418
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                  Anchor:  NCEI Accession ID 0209633
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                  Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/person/details/5277 Peter Landschützer
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                  Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/institution/details/1052 Max Planck Institute for Meteorology - Hamburg (MPI)
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                  Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/institution/details/1052 Max Planck Institute for Meteorology - Hamburg (MPI)
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                  Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/person/details/5277 Peter Landschützer
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                  Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/institution/details/1052 Max Planck Institute for Meteorology - Hamburg (MPI)
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                individualName:  Goulven G. Laruelle
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                  Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/institution/details/2157 Université Libre de Bruxelles
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                  Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/person/details/5769 Alizée Roobaert
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                  Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/institution/details/2157 Université Libre de Bruxelles
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                  Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/institution/details/2157 Université Libre de Bruxelles
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                  Anchor:  https://orcid.org/0000-0002-7398-3293 Landschützer, Peter
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                  Anchor:  https://orcid.org/0000-0003-2869-4713 Laruelle, Goulven G.
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                  Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/institution/details/2157 Université Libre de Bruxelles
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                  Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/institution/details/1052 Max Planck Institute for Meteorology - Hamburg (MPI)
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        abstract:  This dataset contains the partial pressure of carbon dioxide (pCO2) climatology that was created by merging 2 published and publicly available pCO2 datasets covering the open ocean (Landschützer et. al 2016) and the coastal ocean (Laruelle et. al 2017). Both fields were initially created using a 2-step neural network technique. In a first step, the global ocean is divided into 16 biogeochemical provinces using a self-organizing map. In a second step, the non-linear relationship between variables known to drive the surface ocean carbon system and gridded observations from the SOCAT open and coastal ocean datasets (Bakker et. al 2016) is reconstructed using a feed-forward neural network within each province separately. The final product is then produced by projecting driving variables, e.g., surface temperature, chlorophyll, mixed layer depth, and atmospheric CO2 onto oceanic pCO2 using these non-linear relationships (see Landschützer et. al 2016 and Laruelle et. al 2017 for more detail). This results in monthly open ocean pCO2 fields at 1°x1° resolution and coastal ocean pCO2 fields at 0.25°x0.25° resolution. To merge the products, we divided each 1°x1° open ocean bin into 16 equal 0.25°x0.25° bins without any interpolation. The common overlap area of the products has been merged by scaling the respective products by their mismatch compared to observations from the SOCAT datasets (see Landschützer et. al 2020).
        purpose:  This dataset is available to the public for a wide variety of uses including scientific research and analysis.
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                description:  NCEI Accession 0209633 v1.1 was published.
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                description:  Parameter or Variable: PCO2_WAT Fields; Abbreviation: PCO2_WAT Fields; Controlled vocabulary name: partial pressure of carbon dioxide - water; In-situ / Manipulation / Response variable: in-situ .
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                code:  carbon dioxide (CO2) gas analyzer
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            description:  measures gaseous carbon dioxide Carbon dioxide gas analyzer has often been referred to as LI-COR, because a lot of researchers choose to use products manufactured by LI-COR incorporation for their carbon dioxide measurement. The main component of a carbon dioxide analyzer is a nondispersive infrared (NDIR) spectroscopic sensors to detect CO2 in a gaseous environment by its characteristic absorption. Carbon dioxide (CO2) gas analyzer works together with carbon dioxide (CO2) equilibrator (insttypes_id 184) to measure carbon dioxide in the water. To measure water carbon dioxide, water needs to be continuously supplied to a showerhead inside an equilibrator. As the water flows through the equilibrator chamber, dissolved carbon dioxide exchanges quickly with air in the headspace. This air is then sampled by the carbon dioxide analyzer to determine the mole fraction of CO2 in water.
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