Publication Date:
2024-04-20
Description:
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.
Keywords:
Binary Object; Binary Object (File Size); Binary Object (Media Type); ocean-atmosphere CO2 flux; Ocean sink
Type:
Dataset
Format:
text/tab-separated-values, 2 data points
