XBT operational best practices for quality assurance
Since the 1970s, eXpendable BathyThermographs (XBTs) have provided the simplest and most cost-efficient solution for rapid sampling of temperature vs. depth profiles of the upper part of the ocean along ship transects. This manual, compiled by the Ship of Opportunity Program Implementation Panel (SO...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2022-09-01
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Series: | Frontiers in Marine Science |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fmars.2022.991760/full |
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author | Justine Parks Francis Bringas Rebecca Cowley Craig Hanstein Lisa Krummel Janet Sprintall Lijing Cheng Mauro Cirano Samantha Cruz Marlos Goes Marlos Goes Shoichi Kizu Franco Reseghetti |
author_facet | Justine Parks Francis Bringas Rebecca Cowley Craig Hanstein Lisa Krummel Janet Sprintall Lijing Cheng Mauro Cirano Samantha Cruz Marlos Goes Marlos Goes Shoichi Kizu Franco Reseghetti |
author_sort | Justine Parks |
collection | DOAJ |
description | Since the 1970s, eXpendable BathyThermographs (XBTs) have provided the simplest and most cost-efficient solution for rapid sampling of temperature vs. depth profiles of the upper part of the ocean along ship transects. This manual, compiled by the Ship of Opportunity Program Implementation Panel (SOOPIP) a subgroup of the Global Ocean Observing System (GOOS) Observations Coordination Group (OCG) Ship Observations Team (SOT) together with members of the XBT Science Team, aims to improve the quality assurance of XBT data by establishing best practices for field measurements and promoting their adoption by the global operational and scientific community. The measurement system components include commercially available expendable temperature probes, the launcher, the data acquisition (DAQ) hardware, a Global Navigation Satellite System (GNSS) receiver, an optional satellite transmitter, and a computer with software controls. The measurement platform can be any sea-going vessel with available space for the equipment and operator, and capable of oceanic voyages across the regions of interest. Adoption of a standard methodology in the installation and deployment of the measurement system will lead to data quality improvements with subsequent impact on the computation and understanding of changes in the near surface ocean properties (e.g., heat content), ocean circulation dynamics, and their relationship to climate variability. |
first_indexed | 2024-04-11T11:30:13Z |
format | Article |
id | doaj.art-6313aebbe16c4909bbbc392f8ba099c6 |
institution | Directory Open Access Journal |
issn | 2296-7745 |
language | English |
last_indexed | 2024-04-11T11:30:13Z |
publishDate | 2022-09-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Marine Science |
spelling | doaj.art-6313aebbe16c4909bbbc392f8ba099c62022-12-22T04:26:10ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452022-09-01910.3389/fmars.2022.991760991760XBT operational best practices for quality assuranceJustine Parks0Francis Bringas1Rebecca Cowley2Craig Hanstein3Lisa Krummel4Janet Sprintall5Lijing Cheng6Mauro Cirano7Samantha Cruz8Marlos Goes9Marlos Goes10Shoichi Kizu11Franco Reseghetti12Climate, Atmospheric Sciences, and Physical Oceanography, Scripps Institution of Oceanography, University of California, San Diego, CA, United StatesPhysical Oceanography Division, Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, Miami, FL, United StatesOceans and Atmosphere, Commonwealth Scientific and Industrial Research Organization, Hobart, TAS, AustraliaOceans and Atmosphere, Commonwealth Scientific and Industrial Research Organization, Hobart, TAS, AustraliaMarine Networks, Bureau of Meteorology, Melbourne, VIC, AustraliaClimate, Atmospheric Sciences, and Physical Oceanography, Scripps Institution of Oceanography, University of California, San Diego, CA, United StatesInstitute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, ChinaDepartment of Meteorology, Center for Mathematical and Nature Sciences, Institute of Geosciences, Federal University of Rio de Janeiro, Rio do Janeiro, BrazilDepartment of Meteorology, Center for Mathematical and Nature Sciences, Institute of Geosciences, Federal University of Rio de Janeiro, Rio do Janeiro, BrazilPhysical Oceanography Division, Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, Miami, FL, United StatesCooperative Institute for Marine and Atmospheric Studies, University of Miami, Miami, FL, United StatesGraduate School of Science Geophysics, Tohoku University, Sendai, JapanBiodiversity and Ecosystem Services Laboratory, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Pozzuolo di Lerici, ItalySince the 1970s, eXpendable BathyThermographs (XBTs) have provided the simplest and most cost-efficient solution for rapid sampling of temperature vs. depth profiles of the upper part of the ocean along ship transects. This manual, compiled by the Ship of Opportunity Program Implementation Panel (SOOPIP) a subgroup of the Global Ocean Observing System (GOOS) Observations Coordination Group (OCG) Ship Observations Team (SOT) together with members of the XBT Science Team, aims to improve the quality assurance of XBT data by establishing best practices for field measurements and promoting their adoption by the global operational and scientific community. The measurement system components include commercially available expendable temperature probes, the launcher, the data acquisition (DAQ) hardware, a Global Navigation Satellite System (GNSS) receiver, an optional satellite transmitter, and a computer with software controls. The measurement platform can be any sea-going vessel with available space for the equipment and operator, and capable of oceanic voyages across the regions of interest. Adoption of a standard methodology in the installation and deployment of the measurement system will lead to data quality improvements with subsequent impact on the computation and understanding of changes in the near surface ocean properties (e.g., heat content), ocean circulation dynamics, and their relationship to climate variability.https://www.frontiersin.org/articles/10.3389/fmars.2022.991760/fullXBTtechniquesbathythermographocean temperature profilesbest practiceOcean observation |
spellingShingle | Justine Parks Francis Bringas Rebecca Cowley Craig Hanstein Lisa Krummel Janet Sprintall Lijing Cheng Mauro Cirano Samantha Cruz Marlos Goes Marlos Goes Shoichi Kizu Franco Reseghetti XBT operational best practices for quality assurance Frontiers in Marine Science XBT techniques bathythermograph ocean temperature profiles best practice Ocean observation |
title | XBT operational best practices for quality assurance |
title_full | XBT operational best practices for quality assurance |
title_fullStr | XBT operational best practices for quality assurance |
title_full_unstemmed | XBT operational best practices for quality assurance |
title_short | XBT operational best practices for quality assurance |
title_sort | xbt operational best practices for quality assurance |
topic | XBT techniques bathythermograph ocean temperature profiles best practice Ocean observation |
url | https://www.frontiersin.org/articles/10.3389/fmars.2022.991760/full |
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