Biogeosciences
Biogeosciences
BG
Articles | Volume 16, issue 3
Articles | Volume 16, issue 3
https://doi.org/10.5194/bg-16-797-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-16-797-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 3
Research article
 | 
13 Feb 2019
Research article |  | 13 Feb 2019

Variations in the summer oceanic pCO2 and carbon sink in Prydz Bay using the self-organizing map analysis approach

Suqing Xu, Keyhong Park, Yanmin Wang, Liqi Chen, Di Qi, and Bingrui Li

Viewed

Total article views: 3,700 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,666 950 84 3,700 415 88 121
  • HTML: 2,666
  • PDF: 950
  • XML: 84
  • Total: 3,700
  • Supplement: 415
  • BibTeX: 88
  • EndNote: 121
Views and downloads (calculated since 19 Jul 2018)
Cumulative views and downloads (calculated since 19 Jul 2018)

Viewed (geographical distribution)

Total article views: 3,700 (including HTML, PDF, and XML) Thereof 3,468 with geography defined and 232 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 25 Nov 2025
Download
Short summary
In this study we applied the self-organizing map (SOM) method to estimate the oceanic pCO2 in Prydz Bay derived from its main controlling factors. The RMSE of the SOM-derived pCO2 was 22.14 µatm compared to SOCAT datasets. Our results showed that the monthly averaged uptake of atmospheric CO2 for February 2015 was 23.57±6.36 TgC. Strong potential anthropogenic CO2 uptake in the shelf region will enhance ocean acidification (OA) in the deep water of Prydz Bay and subsequently affect deep OA.
Read more
Share
Altmetrics
Final-revised paper
Preprint