Interpolated Global surface ocean carbon dioxide partial pressure and ocean-atmosphere fluxes 1992-2018, corrected for surface temperature deviations
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| Natura: | Dataset Open Access |
| Lingua: | en |
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PANGAEA
2020
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| _version_ | 1867171022437875712 |
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| author | Watson, Andrew J Schuster, Ute Shutler, Jamie D Holding, Thomas Ashton, Ian G C Landschützer, Peter Woolf, David K Goddijn-Murphy, Lonneke |
| author_facet | Watson, Andrew J Schuster, Ute Shutler, Jamie D Holding, Thomas Ashton, Ian G C Landschützer, Peter Woolf, David K Goddijn-Murphy, Lonneke |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | The data set consists of interpolated fields of global surface ocean partial pressure of carbon dioxide (pCO2sw) and the flux of CO2 between ocean and atmosphere, on monthly time and 1-degree latitude and longitude, between January 1992 and December 2018. The pCO2sw is interpolated to this grid from the data set of Holding et al: https://doi.org/10.1594/PANGAEA.905316, which is in turn derived from the the SOCATv2019 observational data (https://www.socat.info/) where the observations have been corrected to the surface subskin temperature using satellite-derived surface temperature products. The interpolation uses the neural net technique of Landschützer et al. ( Biogeosciences 10, 7793-7815, doi:10.5194/bg-10-7793-2013 2013). The ocean-atmosphere flux is then calculated, using the gas transfer equation with the gas transfer velocity parameterized as a function of wind speed and atmospheric mixing ratio of CO2, with a further correction for the cool (and salty) surface ocean skin. These corrections for near-surface temperature deviations increase the net negative (e.g. into the ocean) flux. Full details are given in the corresponding article in Nature Communications (doi:10.1038/s41467-020-18203-3) and its accompanying extended data. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_922985 |
| institution | PANGAEA |
| language | en |
| publishDate | 2020 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Interpolated Global surface ocean carbon dioxide partial pressure and ocean-atmosphere fluxes 1992-2018, corrected for surface temperature deviations Watson, Andrew J Schuster, Ute Shutler, Jamie D Holding, Thomas Ashton, Ian G C Landschützer, Peter Woolf, David K Goddijn-Murphy, Lonneke Binary Object; Binary Object (File Size); Binary Object (Media Type); ocean-atmosphere CO2 flux; Ocean sink The data set consists of interpolated fields of global surface ocean partial pressure of carbon dioxide (pCO2sw) and the flux of CO2 between ocean and atmosphere, on monthly time and 1-degree latitude and longitude, between January 1992 and December 2018. The pCO2sw is interpolated to this grid from the data set of Holding et al: https://doi.org/10.1594/PANGAEA.905316, which is in turn derived from the the SOCATv2019 observational data (https://www.socat.info/) where the observations have been corrected to the surface subskin temperature using satellite-derived surface temperature products. The interpolation uses the neural net technique of Landschützer et al. ( Biogeosciences 10, 7793-7815, doi:10.5194/bg-10-7793-2013 2013). The ocean-atmosphere flux is then calculated, using the gas transfer equation with the gas transfer velocity parameterized as a function of wind speed and atmospheric mixing ratio of CO2, with a further correction for the cool (and salty) surface ocean skin. These corrections for near-surface temperature deviations increase the net negative (e.g. into the ocean) flux. Full details are given in the corresponding article in Nature Communications (doi:10.1038/s41467-020-18203-3) and its accompanying extended data. |
| title | Interpolated Global surface ocean carbon dioxide partial pressure and ocean-atmosphere fluxes 1992-2018, corrected for surface temperature deviations |
| topic | Binary Object; Binary Object (File Size); Binary Object (Media Type); ocean-atmosphere CO2 flux; Ocean sink |
| url | https://doi.org/10.1594/PANGAEA.922985 |