An observation-based global monthly gridded sea surface pCO2 and air-sea CO2 flux product from 1982 onward and its monthly climatology (NCEI Accession 0160558) ...
This dataset contains observation-based pCO2 data and a derived monthly climatology. The observation-based pCO2 fields were created using a 2-step neural network method extensively described and validated in Landschützer et al. 2013, 2014, 2016. The method first clusters the global ocean into bioge...
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NOAA National Centers for Environmental Information
2017
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Online Access: | https://dx.doi.org/10.7289/v5z899n6 https://www.ncei.noaa.gov/archive/accession/0160558 |
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ftdatacite:10.7289/v5z899n6 2024-02-04T09:58:12+01:00 An observation-based global monthly gridded sea surface pCO2 and air-sea CO2 flux product from 1982 onward and its monthly climatology (NCEI Accession 0160558) ... Jersild, Annika Landschützer, Peter Gruber, Nicolas Bakker, Dorothee C. E. 2017 https://dx.doi.org/10.7289/v5z899n6 https://www.ncei.noaa.gov/archive/accession/0160558 unknown NOAA National Centers for Environmental Information Dataset dataset 2017 ftdatacite https://doi.org/10.7289/v5z899n6 2024-01-05T15:45:09Z This dataset contains observation-based pCO2 data and a derived monthly climatology. The observation-based pCO2 fields were created using a 2-step neural network method extensively described and validated in Landschützer et al. 2013, 2014, 2016. The method first clusters the global ocean into biogeochemical provinces and in a second step reconstructs the non-liner relationship between CO2 driver variables and observations from the v2022 release of the Surface Ocean CO2 Atlas (SOCAT, Bakker et al. 2016). This file contains the resulting monthly pCO2 fields at 1°x1° resolution covering the global ocean for the first time including the Arctic Ocean and few marginal seas (see Landschützer et al 2020). The air-sea CO2 fluxes are computed from the air-sea CO2 partial pressure difference and a bulk gas transfer formulation following Landschützer et al. 2013, 2014, 2016. Furthermore, the monthly climatology is created from the monthly average of the period 1985-present. ... Dataset Arctic Arctic Ocean DataCite Metadata Store (German National Library of Science and Technology) Arctic Arctic Ocean Bakker ENVELOPE(64.588,64.588,-70.326,-70.326) |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
language |
unknown |
description |
This dataset contains observation-based pCO2 data and a derived monthly climatology. The observation-based pCO2 fields were created using a 2-step neural network method extensively described and validated in Landschützer et al. 2013, 2014, 2016. The method first clusters the global ocean into biogeochemical provinces and in a second step reconstructs the non-liner relationship between CO2 driver variables and observations from the v2022 release of the Surface Ocean CO2 Atlas (SOCAT, Bakker et al. 2016). This file contains the resulting monthly pCO2 fields at 1°x1° resolution covering the global ocean for the first time including the Arctic Ocean and few marginal seas (see Landschützer et al 2020). The air-sea CO2 fluxes are computed from the air-sea CO2 partial pressure difference and a bulk gas transfer formulation following Landschützer et al. 2013, 2014, 2016. Furthermore, the monthly climatology is created from the monthly average of the period 1985-present. ... |
format |
Dataset |
author |
Jersild, Annika Landschützer, Peter Gruber, Nicolas Bakker, Dorothee C. E. |
spellingShingle |
Jersild, Annika Landschützer, Peter Gruber, Nicolas Bakker, Dorothee C. E. An observation-based global monthly gridded sea surface pCO2 and air-sea CO2 flux product from 1982 onward and its monthly climatology (NCEI Accession 0160558) ... |
author_facet |
Jersild, Annika Landschützer, Peter Gruber, Nicolas Bakker, Dorothee C. E. |
author_sort |
Jersild, Annika |
title |
An observation-based global monthly gridded sea surface pCO2 and air-sea CO2 flux product from 1982 onward and its monthly climatology (NCEI Accession 0160558) ... |
title_short |
An observation-based global monthly gridded sea surface pCO2 and air-sea CO2 flux product from 1982 onward and its monthly climatology (NCEI Accession 0160558) ... |
title_full |
An observation-based global monthly gridded sea surface pCO2 and air-sea CO2 flux product from 1982 onward and its monthly climatology (NCEI Accession 0160558) ... |
title_fullStr |
An observation-based global monthly gridded sea surface pCO2 and air-sea CO2 flux product from 1982 onward and its monthly climatology (NCEI Accession 0160558) ... |
title_full_unstemmed |
An observation-based global monthly gridded sea surface pCO2 and air-sea CO2 flux product from 1982 onward and its monthly climatology (NCEI Accession 0160558) ... |
title_sort |
observation-based global monthly gridded sea surface pco2 and air-sea co2 flux product from 1982 onward and its monthly climatology (ncei accession 0160558) ... |
publisher |
NOAA National Centers for Environmental Information |
publishDate |
2017 |
url |
https://dx.doi.org/10.7289/v5z899n6 https://www.ncei.noaa.gov/archive/accession/0160558 |
long_lat |
ENVELOPE(64.588,64.588,-70.326,-70.326) |
geographic |
Arctic Arctic Ocean Bakker |
geographic_facet |
Arctic Arctic Ocean Bakker |
genre |
Arctic Arctic Ocean |
genre_facet |
Arctic Arctic Ocean |
op_doi |
https://doi.org/10.7289/v5z899n6 |
_version_ |
1789962576776396800 |