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GO-SHIP Easy Ocean: Gridded ship-based hydrographic section of temperature, salinity, and dissolved oxygen

Despite technological advances over the last several decades, ship-based hydrography remains the only method for obtaining high-quality, high spatial and vertical resolution measurements of physical, chemical, and biological parameters over the full water column essential for physical, chemical, and...

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Autores principales: Katsumata, Katsuro, Purkey, Sarah G., Cowley, Rebecca, Sloyan, Bernadette M., Diggs, Stephen C., Moore, Thomas S., Talley, Lynne D., Swift, James H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8956735/
https://www.ncbi.nlm.nih.gov/pubmed/35338149
http://dx.doi.org/10.1038/s41597-022-01212-w
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author Katsumata, Katsuro
Purkey, Sarah G.
Cowley, Rebecca
Sloyan, Bernadette M.
Diggs, Stephen C.
Moore, Thomas S.
Talley, Lynne D.
Swift, James H.
author_facet Katsumata, Katsuro
Purkey, Sarah G.
Cowley, Rebecca
Sloyan, Bernadette M.
Diggs, Stephen C.
Moore, Thomas S.
Talley, Lynne D.
Swift, James H.
author_sort Katsumata, Katsuro
collection PubMed
description Despite technological advances over the last several decades, ship-based hydrography remains the only method for obtaining high-quality, high spatial and vertical resolution measurements of physical, chemical, and biological parameters over the full water column essential for physical, chemical, and biological oceanography and climate science. The Global Ocean Ship-based Hydrographic Investigations Program (GO-SHIP) coordinates a network of globally sustained hydrographic sections. These data provide a unique data set that spans four decades, comprised of more than 40 cross-ocean transects. The section data are, however, difficult to use owing to inhomogeneous format. The purpose of this new temperature, salinity, and dissolved oxygen data product is to combine, reformat and grid these data measured by Conductivity-Temperature-Depth-Oxygen (CTDO) profilers in order to facilitate their use by a wider audience. The product is machine readable and readily accessible by many existing visualisation and analysis software packages. The data processing can be repeated with modifications to suit various applications such as analysis of deep ocean, validation of numerical simulation, and calibration of autonomous platforms.
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spelling pubmed-89567352022-04-11 GO-SHIP Easy Ocean: Gridded ship-based hydrographic section of temperature, salinity, and dissolved oxygen Katsumata, Katsuro Purkey, Sarah G. Cowley, Rebecca Sloyan, Bernadette M. Diggs, Stephen C. Moore, Thomas S. Talley, Lynne D. Swift, James H. Sci Data Data Descriptor Despite technological advances over the last several decades, ship-based hydrography remains the only method for obtaining high-quality, high spatial and vertical resolution measurements of physical, chemical, and biological parameters over the full water column essential for physical, chemical, and biological oceanography and climate science. The Global Ocean Ship-based Hydrographic Investigations Program (GO-SHIP) coordinates a network of globally sustained hydrographic sections. These data provide a unique data set that spans four decades, comprised of more than 40 cross-ocean transects. The section data are, however, difficult to use owing to inhomogeneous format. The purpose of this new temperature, salinity, and dissolved oxygen data product is to combine, reformat and grid these data measured by Conductivity-Temperature-Depth-Oxygen (CTDO) profilers in order to facilitate their use by a wider audience. The product is machine readable and readily accessible by many existing visualisation and analysis software packages. The data processing can be repeated with modifications to suit various applications such as analysis of deep ocean, validation of numerical simulation, and calibration of autonomous platforms. Nature Publishing Group UK 2022-03-25 /pmc/articles/PMC8956735/ /pubmed/35338149 http://dx.doi.org/10.1038/s41597-022-01212-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Katsumata, Katsuro
Purkey, Sarah G.
Cowley, Rebecca
Sloyan, Bernadette M.
Diggs, Stephen C.
Moore, Thomas S.
Talley, Lynne D.
Swift, James H.
GO-SHIP Easy Ocean: Gridded ship-based hydrographic section of temperature, salinity, and dissolved oxygen
title GO-SHIP Easy Ocean: Gridded ship-based hydrographic section of temperature, salinity, and dissolved oxygen
title_full GO-SHIP Easy Ocean: Gridded ship-based hydrographic section of temperature, salinity, and dissolved oxygen
title_fullStr GO-SHIP Easy Ocean: Gridded ship-based hydrographic section of temperature, salinity, and dissolved oxygen
title_full_unstemmed GO-SHIP Easy Ocean: Gridded ship-based hydrographic section of temperature, salinity, and dissolved oxygen
title_short GO-SHIP Easy Ocean: Gridded ship-based hydrographic section of temperature, salinity, and dissolved oxygen
title_sort go-ship easy ocean: gridded ship-based hydrographic section of temperature, salinity, and dissolved oxygen
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8956735/
https://www.ncbi.nlm.nih.gov/pubmed/35338149
http://dx.doi.org/10.1038/s41597-022-01212-w
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