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
Suqing Xu
Key Laboratory of Global Change and Marine-Atmospheric Chemistry, Third
Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005,
P. R.
China
Key Laboratory of Global Change and Marine-Atmospheric Chemistry, Third
Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005,
P. R.
China
Di Qi
Key Laboratory of Global Change and Marine-Atmospheric Chemistry, Third
Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005,
P. R.
China
Bingrui Li
Polar Oceanography Division, Polar Research Institute of China, Shanghai 200136, China
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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...
