Articles | Volume 22, issue 3
https://doi.org/10.5194/os-22-1483-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-22-1483-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Climatology and annual cycle of global ocean dissolved oxygen represented by multiple observational gridded products
International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Lijing Cheng
State Key Laboratory of Earth System Numerical Modeling and Application, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Takamitsu Ito
School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA
Hernan E. Garcia
NOAA, National Centers for Environmental Information, Silver Spring, Maryland, USA
Zhankun Wang
NOAA, National Centers for Environmental Information, Silver Spring, Maryland, USA
Jonathan D. Sharp
Cooperative Institute for Climate, Ocean, and Ecosystem Studies, University of Washington, Seattle, Washington, USA
Pacific Marine Environmental Laboratory, National Oceanic and Atmospheric Administration, Seattle, Washington, USA
Christopher J. Roach
Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Australia
Shoshiro Minobe
Department of Earth and Planetary Sciences, Faculty of Science, Hokkaido University, Sapporo, Japan
Yuntao Zhou
School of Oceanography, Shanghai Jiao Tong University, Shanghai, China
School of Information Science and Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China
Gian Giacomo Navarra
Department of Geosciences, Princeton University, Princeton, New Jersey, USA
Seth M. Bushinsky
Department of Oceanography, School of Ocean and Earth Science and Technology, University of Hawaii at Manoa, Honolulu, Hawaii, USA
Data sets
Global Dissolved Oxygen Gridded Climatological Datasets GODIP-DO Group https://doi.org/10.5281/zenodo.16664650
Short summary
This study assesses the spread of mean state and annual cycle of ocean dissolved oxygen by multiple observational gridded data products. A good consistency is validated globally, although substantial local differences exist in areas of strong spatial gradient. Quantifying the discrepancies could give an insight into regions relatively more sensitive to data reconstruction processes and further advance the improvement of oxygen data products.
This study assesses the spread of mean state and annual cycle of ocean dissolved oxygen by...