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SCSPOD14, a South China Sea physical oceanographic dataset derived from in situ measurements during 1919–2014
In addition to the oceanographic data available for the South China Sea (SCS) from the World Ocean Database (WOD) and Array for Real-time Geostrophic Oceanography (Argo) floats, a suite of observations has been made by the South China Sea Institute of Oceanology (SCSIO) starting from the 1970s. Here...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4845715/ https://www.ncbi.nlm.nih.gov/pubmed/27116565 http://dx.doi.org/10.1038/sdata.2016.29 |
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author | Zeng, Lili Wang, Dongxiao Chen, Ju Wang, Weiqiang Chen, Rongyu |
author_facet | Zeng, Lili Wang, Dongxiao Chen, Ju Wang, Weiqiang Chen, Rongyu |
author_sort | Zeng, Lili |
collection | PubMed |
description | In addition to the oceanographic data available for the South China Sea (SCS) from the World Ocean Database (WOD) and Array for Real-time Geostrophic Oceanography (Argo) floats, a suite of observations has been made by the South China Sea Institute of Oceanology (SCSIO) starting from the 1970s. Here, we assemble a SCS Physical Oceanographic Dataset (SCSPOD14) based on 51,392 validated temperature and salinity profiles collected from these three datasets for the period 1919–2014. A gridded dataset of climatological monthly mean temperature, salinity, and mixed and isothermal layer depth derived from an objective analysis of profiles is also presented. Comparisons with the World Ocean Atlas (WOA) and IFREMER/LOS Mixed Layer Depth Climatology confirm the reliability of the new dataset. This unique dataset offers an invaluable baseline perspective on the thermodynamic processes, spatial and temporal variability of water masses, and basin-scale and mesoscale oceanic structures in the SCS. We anticipate improvements and regular updates to this product as more observations become available from existing and future in situ networks. |
format | Online Article Text |
id | pubmed-4845715 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-48457152016-04-27 SCSPOD14, a South China Sea physical oceanographic dataset derived from in situ measurements during 1919–2014 Zeng, Lili Wang, Dongxiao Chen, Ju Wang, Weiqiang Chen, Rongyu Sci Data Data Descriptor In addition to the oceanographic data available for the South China Sea (SCS) from the World Ocean Database (WOD) and Array for Real-time Geostrophic Oceanography (Argo) floats, a suite of observations has been made by the South China Sea Institute of Oceanology (SCSIO) starting from the 1970s. Here, we assemble a SCS Physical Oceanographic Dataset (SCSPOD14) based on 51,392 validated temperature and salinity profiles collected from these three datasets for the period 1919–2014. A gridded dataset of climatological monthly mean temperature, salinity, and mixed and isothermal layer depth derived from an objective analysis of profiles is also presented. Comparisons with the World Ocean Atlas (WOA) and IFREMER/LOS Mixed Layer Depth Climatology confirm the reliability of the new dataset. This unique dataset offers an invaluable baseline perspective on the thermodynamic processes, spatial and temporal variability of water masses, and basin-scale and mesoscale oceanic structures in the SCS. We anticipate improvements and regular updates to this product as more observations become available from existing and future in situ networks. Nature Publishing Group 2016-04-26 /pmc/articles/PMC4845715/ /pubmed/27116565 http://dx.doi.org/10.1038/sdata.2016.29 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse. |
spellingShingle | Data Descriptor Zeng, Lili Wang, Dongxiao Chen, Ju Wang, Weiqiang Chen, Rongyu SCSPOD14, a South China Sea physical oceanographic dataset derived from in situ measurements during 1919–2014 |
title | SCSPOD14, a South China Sea physical oceanographic dataset derived from in situ measurements during 1919–2014 |
title_full | SCSPOD14, a South China Sea physical oceanographic dataset derived from in situ measurements during 1919–2014 |
title_fullStr | SCSPOD14, a South China Sea physical oceanographic dataset derived from in situ measurements during 1919–2014 |
title_full_unstemmed | SCSPOD14, a South China Sea physical oceanographic dataset derived from in situ measurements during 1919–2014 |
title_short | SCSPOD14, a South China Sea physical oceanographic dataset derived from in situ measurements during 1919–2014 |
title_sort | scspod14, a south china sea physical oceanographic dataset derived from in situ measurements during 1919–2014 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4845715/ https://www.ncbi.nlm.nih.gov/pubmed/27116565 http://dx.doi.org/10.1038/sdata.2016.29 |
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