A dual water isotope dataset for quantifying summer water mass transport in the northern South China Sea
Abstract Dual water isotopes (δ¹⁸O, δ²H, referred to as δD) serve as robust tracers for water masses, enabling the identification and quantification of ocean currents and circulation patterns, thereby complementing traditional temperature-salinity and velocity metrics. This study presents a comprehe...
| Published in: | Scientific Data |
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| Main Authors: | , , , , , , |
| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-07-01
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| Online Access: | https://doi.org/10.1038/s41597-025-05444-4 |
| _version_ | 1849500760836931584 |
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| author | Sihai Liu Chunqing Chen Xuan Lu Junhui Wu Qibin Lao Shangjun Cai Fajin Chen |
| author_facet | Sihai Liu Chunqing Chen Xuan Lu Junhui Wu Qibin Lao Shangjun Cai Fajin Chen |
| author_sort | Sihai Liu |
| collection | DOAJ |
| container_title | Scientific Data |
| description | Abstract Dual water isotopes (δ¹⁸O, δ²H, referred to as δD) serve as robust tracers for water masses, enabling the identification and quantification of ocean currents and circulation patterns, thereby complementing traditional temperature-salinity and velocity metrics. This study presents a comprehensive dual water isotope dataset covering the northern South China Sea (SCS) to quantify summer water mass transport, addressing the scarcity of isotope observations in this region. The dataset comprises 873 dual isotope samples collected from 169 stations during summer (2015–2021), covering depths of 0–3700 m. Core parameters include δ¹⁸O, δD, temperature, and salinity. Additionally, using uniform end-member selection criteria and an isotope correction method, we applied the SIAR isotope mixing model to quantify the contributions of distinct water masses and characterize circulation features. This dataset fills a critical gap in SCS isotope data and establishes a standardized methodology for quantitatively interpreting water mass transport using dual water isotopes, underscoring the significance of isotopes as supplementary indicators for monitoring ocean currents and circulation dynamics. |
| format | Article |
| id | doaj-art-0f0ce4e1cd2e4430b1ea6419c1d31f23 |
| institution | Directory of Open Access Journals |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| spelling | doaj-art-0f0ce4e1cd2e4430b1ea6419c1d31f232025-08-20T03:03:20ZengNature PortfolioScientific Data2052-44632025-07-0112111110.1038/s41597-025-05444-4A dual water isotope dataset for quantifying summer water mass transport in the northern South China SeaSihai Liu0Chunqing Chen1Xuan Lu2Junhui Wu3Qibin Lao4Shangjun Cai5Fajin Chen6College of Ocean and Meteorology, Guangdong Ocean UniversityCollege of Ocean and Meteorology, Guangdong Ocean UniversityPolar and Marine Research Institute, College of Harbor and Coastal Engineering, Jimei UniversityGuangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention, Institute of Marine Sciences, Shantou UniversityCollege of Ocean and Meteorology, Guangdong Ocean UniversityCollege of Ocean and Meteorology, Guangdong Ocean UniversityCollege of Ocean and Meteorology, Guangdong Ocean UniversityAbstract Dual water isotopes (δ¹⁸O, δ²H, referred to as δD) serve as robust tracers for water masses, enabling the identification and quantification of ocean currents and circulation patterns, thereby complementing traditional temperature-salinity and velocity metrics. This study presents a comprehensive dual water isotope dataset covering the northern South China Sea (SCS) to quantify summer water mass transport, addressing the scarcity of isotope observations in this region. The dataset comprises 873 dual isotope samples collected from 169 stations during summer (2015–2021), covering depths of 0–3700 m. Core parameters include δ¹⁸O, δD, temperature, and salinity. Additionally, using uniform end-member selection criteria and an isotope correction method, we applied the SIAR isotope mixing model to quantify the contributions of distinct water masses and characterize circulation features. This dataset fills a critical gap in SCS isotope data and establishes a standardized methodology for quantitatively interpreting water mass transport using dual water isotopes, underscoring the significance of isotopes as supplementary indicators for monitoring ocean currents and circulation dynamics.https://doi.org/10.1038/s41597-025-05444-4 |
| spellingShingle | Sihai Liu Chunqing Chen Xuan Lu Junhui Wu Qibin Lao Shangjun Cai Fajin Chen A dual water isotope dataset for quantifying summer water mass transport in the northern South China Sea |
| title | A dual water isotope dataset for quantifying summer water mass transport in the northern South China Sea |
| title_full | A dual water isotope dataset for quantifying summer water mass transport in the northern South China Sea |
| title_fullStr | A dual water isotope dataset for quantifying summer water mass transport in the northern South China Sea |
| title_full_unstemmed | A dual water isotope dataset for quantifying summer water mass transport in the northern South China Sea |
| title_short | A dual water isotope dataset for quantifying summer water mass transport in the northern South China Sea |
| title_sort | dual water isotope dataset for quantifying summer water mass transport in the northern south china sea |
| url | https://doi.org/10.1038/s41597-025-05444-4 |
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