中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
CODC-S: A quality-controlled global ocean salinity profiles dataset

文献类型:期刊论文

作者Tan, Zhetao5,6; Zhu, Yujing5,7; Cheng, Lijing5,7; Gouretski, Viktor5; Pan, Yuying5; Yuan, Huifeng7,8; Wang, Zhankun9; Li, Guancheng1,5; Song, Xinyi5,7; Zhang, Bin3,4
刊名SCIENTIFIC DATA
出版日期2025-05-30
卷号12期号:1页码:21
DOI10.1038/s41597-025-05172-9
通讯作者Cheng, Lijing(chenglij@mail.iap.ac.cn)
英文摘要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.
WOS关键词TEMPERATURE ; HEAT ; VARIABILITY ; CIRCULATION ; FLUXES ; ERRORS
资助项目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[202204910270] ; Oceanographic Data Center, Chinese Academy of Sciences ; [42261134536] ; [2023YFF0806500] ; [060GJHZ2024064MI]
WOS研究方向Science & Technology - Other Topics
语种英语
WOS记录号WOS:001499623600005
出版者NATURE PORTFOLIO
源URL[http://ir.qdio.ac.cn/handle/337002/202214]  
专题中国科学院海洋研究所
通讯作者Cheng, Lijing
作者单位1.Minist Ecol & Environm, Ecoenvironm Monitoring & Res Ctr, Pearl River Valley & South China Sea Ecol & Enviro, Guangzhou 510611, Peoples R China
2.Natl Univ Def Technol, Coll Meteorol & Oceanog, Changsha 410073, Peoples R China
3.Chinese Acad Sci, Oceanog Data Ctr, Qingdao 266071, Peoples R China
4.Chinese Acad Sci, Inst Oceanol, Qingdao 266071, Peoples R China
5.Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Earth Syst Numer Modeling & Applicat, Beijing 100029, Peoples R China
6.Univ PSL, Ecole Normale Super, Inst Pierre Simon Laplace, Lab Meteorol Dynam, F-75231 Paris, France
7.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
8.Chinese Acad Sci, Comp Network Informat Ctr, Beijing 100039, Peoples R China
9.NOAA, Natl Ctr Environm Informat, Silver Spring, MD 20910 USA
推荐引用方式
GB/T 7714
Tan, Zhetao,Zhu, Yujing,Cheng, Lijing,et al. CODC-S: A quality-controlled global ocean salinity profiles dataset[J]. SCIENTIFIC DATA,2025,12(1):21.
APA Tan, Zhetao.,Zhu, Yujing.,Cheng, Lijing.,Gouretski, Viktor.,Pan, Yuying.,...&Zhu, Jiang.(2025).CODC-S: A quality-controlled global ocean salinity profiles dataset.SCIENTIFIC DATA,12(1),21.
MLA Tan, Zhetao,et al."CODC-S: A quality-controlled global ocean salinity profiles dataset".SCIENTIFIC DATA 12.1(2025):21.

入库方式: OAI收割

来源:海洋研究所

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