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

作     者：Tan, Zhetao Zhu, Yujing Cheng, Lijing Gouretski, Viktor Pan, Yuying Yuan, Huifeng Wang, Zhankun Li, Guancheng Song, Xinyi Zhang, Bin Bao, Senliang Li, Yuanlong Zhu, Jiang 

作者机构：Chinese Acad Sci Inst Atmospher Phys State Key Lab Earth Syst Numer Modeling & Applicat Beijing 100029 Peoples R China Univ PSL Ecole Normale Super Inst Pierre Simon Laplace Lab Meteorol Dynam F-75231 Paris France Univ Chinese Acad Sci Beijing 100049 Peoples R China Chinese Acad Sci Comp Network Informat Ctr Beijing 100039 Peoples R China NOAA Natl Ctr Environm Informat Silver Spring MD 20910 USA Minist Ecol & Environm Ecoenvironm Monitoring & Res Ctr Pearl River Valley & South China Sea Ecol & Enviro Guangzhou 510611 Peoples R China Chinese Acad Sci Inst Oceanol Qingdao 266071 Peoples R China Chinese Acad Sci Oceanog Data Ctr Qingdao 266071 Peoples R China Natl Univ Def Technol Coll Meteorol & Oceanog Changsha 410073 Peoples R China 

出 版 物：《SCIENTIFIC DATA》 

年 卷 期：2025年第12卷第1期

页      面：1-21页

核心收录：

基　　金：National Natural Science Foundation of China National Key R&D Program of China International Partnership Program of the Chinese Academy of Sciences Asia Cooperation Fund New Cornerstone Science Foundation through the XPLORER PRIZE National Key Scientific and Technological Infrastructure project "Earth System Science Numerical Simulator Facility" (EarthLab) Young Talent Support Project of Guangzhou Association for Science and Technology Youth Independent Innovation Science Foundation [ZK24-54] China Scholarship Council Oceanographic Data Center, Chinese Academy of Sciences 42261134536 2023YFF0806500 060GJHZ2024064MI 

摘      要：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 similar to 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.