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BG | Articles | Volume 16, issue 3
Biogeosciences, 16, 797–810, 2019
https://doi.org/10.5194/bg-16-797-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Biogeosciences, 16, 797–810, 2019
https://doi.org/10.5194/bg-16-797-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

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 et al.

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (23 Oct 2018) by Christoph Heinze
AR by Anna Mirena Feist-Polner on behalf of the Authors (16 Nov 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (27 Nov 2018) by Christoph Heinze
RR by Anonymous Referee #1 (10 Dec 2018)
ED: Publish subject to minor revisions (review by editor) (12 Dec 2018) by Christoph Heinze
AR by Anna Wenzel on behalf of the Authors (04 Jan 2019)  Author's response    Manuscript
ED: Publish as is (14 Jan 2019) by Christoph Heinze
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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.
In this study we applied the self-organizing map (SOM) method to estimate the oceanic pCO2 in...
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