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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

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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.
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