A combined global ocean pCO2 climatology combining open ocean and coastal areas (NCEI Accession 0209633)
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).
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | non-public |
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| describedByType | application/octet-steam |
| description | 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). |
| distribution |
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|
| identifier | gov.noaa.nodc:0209633 |
| issued | 2020-04-08T00:00:00.000+00:00 |
| keyword |
[
"0209633",
"Partial pressure (or fugacity) of carbon dioxide - atmosphere",
"partial pressure of carbon dioxide - water",
"carbon dioxide (CO2) gas analyzer",
"showerhead equilibrator",
"chemical",
"meteorological",
"surface underway",
"VARIOUS CHARTERED VESSELS",
"Max Planck Institute for Meteorology - Hamburg",
"Max Planck Institute for Meteorology - Hamburg",
"Surface Ocean CO2 Atlas (SOCAT)",
"World-Wide Distribution",
"oceanography",
"MPI-M > Max Planck Institute for Meteorology",
"Ocean Carbon and Acidification Data System (OCADS) Project",
"EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC CHEMISTRY > CARBON AND HYDROCARBON COMPOUNDS > ATMOSPHERIC CARBON DIOXIDE > PARTIAL PRESSURE OF CARBON DIOXIDE",
"EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CARBON DIOXIDE",
"Climatology",
"Data synthesis product",
"Surface measurement",
"Global pCO2 climatology",
"PCO2_WAT Fields",
"CO2 ANALYZERS > CO2 ANALYZERS",
"EQUILIBRATORS",
"GEOGRAPHIC REGION > GLOBAL OCEAN",
"World Ocean"
]
|
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| language |
[]
|
| license | https://creativecommons.org/publicdomain/zero/1.0/ |
| modified | 2020-04-08T00:00:00.000+00:00 |
| publisher |
{
"name": "NOAA National Centers for Environmental Information",
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|
| references |
[
"https://doi.org/10.1002/2015gb005359",
"https://doi.org/10.5194/bg-14-4545-2017",
"https://doi.org/10.5194/essd-12-2537-2020",
"https://doi.org/10.5194/essd-6-69-2014",
"https://www.ncei.noaa.gov/access/ocean-carbon-acidification-data-system/oceans/MPI-ULB-SOM_FFN_clim.html",
"https://www.ncei.noaa.gov/products/ocean-carbon-acidification-data-system"
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|
| rights | otherRestrictions |
| spatial | 180.0,-89.5,-180.0,89.5 |
| temporal | 1988-01-01T00:00:00+00:00/2020-01-01T00:00:00+00:00 |
| title | A combined global ocean pCO2 climatology combining open ocean and coastal areas (NCEI Accession 0209633) |
