FN Archimer Export Format
PT CHAP
TI Reconstruction of pCO$$_{2}$$ Data in the Southern Ocean Based on Feedforward Neural Network
BT Li, X., Wang, F. (eds) 2023. Artificial Intelligence Oceanography. Springer, Singapore. ISBN978-981-19-6374-2, Online ISBN978-981-19-6375-9. pp.189-208
AF Wang, Yanjun
   Li, Xiaofeng
   Song, Jinming
   Li, Xuegang
   Zhong, Guorong
   Zhang, Bin
AS 1:1;2:2;3:3;4:3;5:3;6:1;
FF 1:;2:;3:;4:;5:;6:;
C1 Department of Marine Science Data Center, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
   CAS Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
   Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, and the Center for Ocean Mega-Science,Chinese Academy of Sciences, Qingdao, 266071, China
C2 CHINESE ACAD SCI, CHINA
   CHINESE ACAD SCI, CHINA
   CHINESE ACAD SCI, CHINA
UR https://archimer.ifremer.fr/doc/00824/93608/100391.pdf
LA English
DT Book section
CR OISO - OCÉAN INDIEN SERVICE D'OBSERVATION
AB The Southern Ocean accounts for 20% of the world’s ocean and nearly 40% of the global ocean’s total carbon sink, effectively reducing the impacts of anthropogenic carbon dioxide emissions. Due to the scarcity of observation data, the changing trends of carbon sinks in the Southern Ocean and its fluctuation reasons are still uncertain. In this chapter, we determine covariates through data association analysis, and build a feedforward neural network based on these parameters to improve the accuracy of carbon flux estimations in the Southern Ocean. Based on SOCAT observation data, we reconstructed the pCO2 gridded data of the Southern Ocean during 1998-2018. The root-mean-square error obtained by fitting the observation data was 8.86 μatm, indicating that the results were better than other feedforward neural network model in the Surface Ocean pCO2 Mapping Intercomparison. The research results also showed that since 2000, the capacity of the Southern Ocean as a carbon sink has been gradually enhanced. During 2010-2013, it decreased, but then increased significantly. Due to the increase of upwelling, the seasonal feature of the Southern Ocean is the lowest carbon absorption in winter; then, the maximum absorption increased rapidly in summer, which is mainly driven by biology. As other studies have pointed out, there is an obvious double ring structure in the Southern Ocean. This study confirms that the inner ring (50−70∘S) is a carbon source area gradually transforming into a carbon sink, while the outer ring (35−50∘S) continues to serve as a carbon sink. 
PY 2023
DI 10.1007/978-981-19-6375-9_9
ID 93608
ER

EF