Articles | Volume 17, issue 2
https://doi.org/10.5194/essd-17-719-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-719-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A global monthly 3D field of seawater pH over 3 decades: a machine learning approach
Guorong Zhong
Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
Laboratory for Marine Ecology and Environmental Science, Qingdao Marine Science and Technology Center, Qingdao, 266237, China
University of Chinese Academy of Sciences, Beijing, 101407, China
Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China
Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
Laboratory for Marine Ecology and Environmental Science, Qingdao Marine Science and Technology Center, Qingdao, 266237, China
University of Chinese Academy of Sciences, Beijing, 101407, China
Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China
Jinming Song
CORRESPONDING AUTHOR
Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
Laboratory for Marine Ecology and Environmental Science, Qingdao Marine Science and Technology Center, Qingdao, 266237, China
University of Chinese Academy of Sciences, Beijing, 101407, China
Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China
Baoxiao Qu
Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
Laboratory for Marine Ecology and Environmental Science, Qingdao Marine Science and Technology Center, Qingdao, 266237, China
University of Chinese Academy of Sciences, Beijing, 101407, China
Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China
Fan Wang
Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
Laboratory for Marine Ecology and Environmental Science, Qingdao Marine Science and Technology Center, Qingdao, 266237, China
University of Chinese Academy of Sciences, Beijing, 101407, China
Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China
Yanjun Wang
Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China
Bin Zhang
Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China
Lijing Cheng
Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China
Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
Jun Ma
Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
Laboratory for Marine Ecology and Environmental Science, Qingdao Marine Science and Technology Center, Qingdao, 266237, China
University of Chinese Academy of Sciences, Beijing, 101407, China
Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China
Huamao Yuan
Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
Laboratory for Marine Ecology and Environmental Science, Qingdao Marine Science and Technology Center, Qingdao, 266237, China
University of Chinese Academy of Sciences, Beijing, 101407, China
Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China
Liqin Duan
Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
Laboratory for Marine Ecology and Environmental Science, Qingdao Marine Science and Technology Center, Qingdao, 266237, China
University of Chinese Academy of Sciences, Beijing, 101407, China
Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China
Ning Li
Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
Laboratory for Marine Ecology and Environmental Science, Qingdao Marine Science and Technology Center, Qingdao, 266237, China
University of Chinese Academy of Sciences, Beijing, 101407, China
Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China
Qidong Wang
Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
Laboratory for Marine Ecology and Environmental Science, Qingdao Marine Science and Technology Center, Qingdao, 266237, China
University of Chinese Academy of Sciences, Beijing, 101407, China
Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China
Jianwei Xing
Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
Laboratory for Marine Ecology and Environmental Science, Qingdao Marine Science and Technology Center, Qingdao, 266237, China
University of Chinese Academy of Sciences, Beijing, 101407, China
Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China
Jiajia Dai
Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
Laboratory for Marine Ecology and Environmental Science, Qingdao Marine Science and Technology Center, Qingdao, 266237, China
University of Chinese Academy of Sciences, Beijing, 101407, China
Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, China
Data sets
Global ocean gridded seawater pH during 1992-2020 at 0-2000 m depth Guorong Zhong https://doi.org/10.12157/IOCAS.20230720.001
Model code and software
SOM Stepwise FFNN algorithm for MATLAB Guorong Zhong https://doi.org/10.12157/IOCAS.20230720.001
Short summary
The continuous uptake of atmospheric CO2 by the ocean leads to decreasing seawater pH, which is an ongoing threat to the marine ecosystem. This pH change has been globally documented in the surface ocean, but information is limited below the surface. Here, we present a monthly 1° gridded product of global seawater pH based on a machine learning method and real pH observations. The pH product covers the years from 1992 to 2020 and depths from 0 to 2000 m.
The continuous uptake of atmospheric CO2 by the ocean leads to decreasing seawater pH, which is...
Altmetrics
Final-revised paper
Preprint