CODC-S: A quality-controlled global ocean salinity profiles dataset

Changes in the global ocean salinity reflect the evolution of the global hydrological cycle. These secular changes are assessed using seawater salinity profiles obtained during the past ~80 years. Here, we introduce a new global ocean salinity profiles database named CODC-S (the Chinese Academy of Science (CAS) Oceanography Data Center - Salinity component), which encompasses over 11 million in-situ salinity profiles from 1940 to 2023 obtained by means of several instrument types. These salinity profiles are quality-controlled (QC-ed) using a new automated salinity quality control system named CODC-QC-S (the CODC Quality Control system - Salinity component), consisting of 11 distinct quality checks. By applying time-varying, flow-dependent, and topographical-dependent 0.5% and 99.5% quantile thresholds, the CODC-QC-S defines local climatology salinity ranges without the assumption of Gaussian distribution. The CODC-S database, together with the newly proposed QC algorithm, has undergone extensive evaluations, including comparisons with the benchmark data and climatology, as well as analyses of global and basin-scale long-term salinity changes before and after QC. These validations demonstrate that the quality of salinity data in the CODC-S is time-, depth-, region- and instrument type-dependent. The eight-decade quality-homogeneous salinity profiles from the CODC-S database can support diverse oceanographic and climatic research such as monitoring water cycle changes and freshwater/overturning transports.

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Publication Details

Journal
Scientific Data
Published
2025-05-30
DOI
https://doi.org/10.1038/s41597-025-05172-9
Citations
3
Primary Topic
Geophysics and Gravity Measurements
Type
article
Field-Weighted Citation Impact
5.38

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article

CODC-S: A quality-controlled global ocean salinity profiles dataset

LI Guan-cheng, Xinyi Song, Viktor Gouretski, Zhetao Tan et al.
3 citations
Scientific Data
Geophysics and Gravity Measurements
5.38
article

CODC-S: A quality-controlled global ocean salinity profiles dataset

LI Guan-cheng, Xinyi Song, Viktor Gouretski, Zhetao Tan, Zhankun Wang, Senliang Bao, Lijing Cheng, Yuying Pan, Bin Zhang, Yujing Zhu, Yuanlong Li, Jiang Zhu, Huifeng Yuan
article en
3 citations

Abstract

Changes in the global ocean salinity reflect the evolution of the global hydrological cycle. These secular changes are assessed using seawater salinity profiles obtained during the past ~80 years. Here, we introduce a new global ocean salinity profiles database named CODC-S (the Chinese Academy of Science (CAS) Oceanography Data Center - Salinity component), which encompasses over 11 million in-situ salinity profiles from 1940 to 2023 obtained by means of several instrument types. These salinity profiles are quality-controlled (QC-ed) using a new automated salinity quality control system named CODC-QC-S (the CODC Quality Control system - Salinity component), consisting of 11 distinct quality checks. By applying time-varying, flow-dependent, and topographical-dependent 0.5% and 99.5% quantile thresholds, the CODC-QC-S defines local climatology salinity ranges without the assumption of Gaussian distribution. The CODC-S database, together with the newly proposed QC algorithm, has undergone extensive evaluations, including comparisons with the benchmark data and climatology, as well as analyses of global and basin-scale long-term salinity changes before and after QC. These validations demonstrate that the quality of salinity data in the CODC-S is time-, depth-, region- and instrument type-dependent. The eight-decade quality-homogeneous salinity profiles from the CODC-S database can support diverse oceanographic and climatic research such as monitoring water cycle changes and freshwater/overturning transports.

Scientific DataVol. 12(1)
National University of Defense Technology (CN), Chinese Academy of Sciences (CN), Ministry of Ecology and Environment (CN), Laboratoire de Météorologie Dynamique (FR), Institute of Oceanology (CN), Computer Network Information Center (CN), Institute of Atmospheric Physics (CN), NOAA National Centers for Environmental Information (US), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China
Life below water
Openalex Percentile: Top 5%
Geophysics and Gravity Measurements
5.38
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