Biogeosciences
Biogeosciences
BG
Articles | Volume 19, issue 17
Articles | Volume 19, issue 17
https://doi.org/10.5194/bg-19-4171-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-19-4171-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 17
Research article
 | 
07 Sep 2022
Research article |  | 07 Sep 2022

The sensitivity of pCO2 reconstructions to sampling scales across a Southern Ocean sub-domain: a semi-idealized ocean sampling simulation approach

Laique M. Djeutchouang, Nicolette Chang, Luke Gregor, Marcello Vichi, and Pedro M. S. Monteiro

Viewed

Total article views: 3,429 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,438 904 87 3,429 260 81 102
  • HTML: 2,438
  • PDF: 904
  • XML: 87
  • Total: 3,429
  • Supplement: 260
  • BibTeX: 81
  • EndNote: 102
Views and downloads (calculated since 03 Jan 2022)
Cumulative views and downloads (calculated since 03 Jan 2022)

Viewed (geographical distribution)

Total article views: 3,429 (including HTML, PDF, and XML) Thereof 3,330 with geography defined and 99 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 07 Nov 2025
Download
Short summary
Based on observing system simulation experiments using a mesoscale-resolving model, we found that to significantly improve uncertainties and biases in carbon dioxide (CO2) mapping in the Southern Ocean, it is essential to resolve the seasonal cycle (SC) of the meridional gradient of CO2 through high frequency (at least daily) observations that also span the region's meridional axis. We also showed that the estimated SC anomaly and mean annual CO2 are highly sensitive to seasonal sampling biases.
Read more
Share
Altmetrics
Final-revised paper
Preprint