Loading…
Accuracy and Long-Term Stability Assessment of Inductive Conductivity Cell Measurements on Argo Floats
This study demonstrates the long-term stability of salinity measurements from Argo floats equipped with inductive conductivity cells, which have extended float lifetimes as compared to electrode-type cells. New Argo float sensor payloads must meet the demands of the Argo governance committees before...
Saved in:
Published in: | Journal of atmospheric and oceanic technology 2020-12, Vol.37 (12), p.2209-2223 |
---|---|
Main Authors: | , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c350t-a6e2d32e7307f83340c6ce5f97f4ba81a385b55ca34126a11b17f433350b61f3 |
---|---|
cites | cdi_FETCH-LOGICAL-c350t-a6e2d32e7307f83340c6ce5f97f4ba81a385b55ca34126a11b17f433350b61f3 |
container_end_page | 2223 |
container_issue | 12 |
container_start_page | 2209 |
container_title | Journal of atmospheric and oceanic technology |
container_volume | 37 |
creator | Nezlin, Nikolay P. Dever, Mathieu Halverson, Mark Leconte, Jean-Michel Maze, Guillaume Richards, Clark Shkvorets, Igor Zhang, Rui Johnson, Greg |
description | This study demonstrates the long-term stability of salinity measurements from Argo floats equipped with inductive conductivity cells, which have extended float lifetimes as compared to electrode-type cells. New Argo float sensor payloads must meet the demands of the Argo governance committees before they are implemented globally. Currently, the use of CTDs with inductive cells designed and manufactured by RBR, Ltd., has been approved as a Global Argo Pilot. One requirement for new sensors is to demonstrate stable measurements over the lifetime of a float. To demonstrate this, data from four Argo floats in the western Pacific Ocean equipped with the RBRargo CTD sensor package are analyzed using the same Owens–Wong–Cabanes (OWC) method and reference datasets as the Argo delayed-mode quality control (DMQC) operators. When run with default settings against the standard DMQC Argo and CTD databases, the OWC analysis reveals no drift in any of the four RBRargo datasets and, in one case, an offset exceeding the Argo target salinity limits. Being a statistical tool, the OWC method cannot strictly determine whether deviations in salinity measurements with respect to a reference hydrographic product (e.g., climatologies) are caused by oceanographic variability or sensor problems. So, this study furthermore investigates anomalous salinity measurements observed when compared with a reference product and demonstrates that anomalous values tend to occur in regions with a high degree of variability and can be better explained by imperfect reference data rather than sensor drift. This study concludes that the RBR inductive cell is a viable option for salinity measurements as part of the Argo program. |
doi_str_mv | 10.1175/JTECH-D-20-0058.1 |
format | article |
fullrecord | <record><control><sourceid>proquest_hal_p</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_04203223v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2511353030</sourcerecordid><originalsourceid>FETCH-LOGICAL-c350t-a6e2d32e7307f83340c6ce5f97f4ba81a385b55ca34126a11b17f433350b61f3</originalsourceid><addsrcrecordid>eNo9kD1PwzAQhi0EEqXwA9gsMTGk-Hxxko5RSmlREAPZLcd1Sqo0LnZSqf-ehFbohvt67tXpJeQR2AwgFi_vxWu2ChYBZwFjIpnBFZmAGLuQR9dkwmKcB0zE_Jbceb9jjAFCNCFVqnXvlD5R1W5obtttUBi3p1-dKuum7k409d54vzdtR21F1-2m1119NDSzl3KEMtM09MMo3zszop7alqZua-mysarz9-SmUo03D5c8JcXytRg-zj_f1lmaBxoF6wIVGb5BbmJkcZUghkxH2ohqHldhqRJQmIhSCK0wBB4pgBKGDeJwXEZQ4ZQ8n2W_VSMPrt4rd5JW1XKV5nKcDW4w5ByPMLBPZ_bg7E9vfCd3tnft8J3kAgAFsiGmBM6UdtZ7Z6p_WWBydF7-OS8XkjM5Oi8BfwHWanXB</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2511353030</pqid></control><display><type>article</type><title>Accuracy and Long-Term Stability Assessment of Inductive Conductivity Cell Measurements on Argo Floats</title><source>Freely Accessible Science Journals - check A-Z of ejournals</source><creator>Nezlin, Nikolay P. ; Dever, Mathieu ; Halverson, Mark ; Leconte, Jean-Michel ; Maze, Guillaume ; Richards, Clark ; Shkvorets, Igor ; Zhang, Rui ; Johnson, Greg</creator><creatorcontrib>Nezlin, Nikolay P. ; Dever, Mathieu ; Halverson, Mark ; Leconte, Jean-Michel ; Maze, Guillaume ; Richards, Clark ; Shkvorets, Igor ; Zhang, Rui ; Johnson, Greg</creatorcontrib><description>This study demonstrates the long-term stability of salinity measurements from Argo floats equipped with inductive conductivity cells, which have extended float lifetimes as compared to electrode-type cells. New Argo float sensor payloads must meet the demands of the Argo governance committees before they are implemented globally. Currently, the use of CTDs with inductive cells designed and manufactured by RBR, Ltd., has been approved as a Global Argo Pilot. One requirement for new sensors is to demonstrate stable measurements over the lifetime of a float. To demonstrate this, data from four Argo floats in the western Pacific Ocean equipped with the RBRargo CTD sensor package are analyzed using the same Owens–Wong–Cabanes (OWC) method and reference datasets as the Argo delayed-mode quality control (DMQC) operators. When run with default settings against the standard DMQC Argo and CTD databases, the OWC analysis reveals no drift in any of the four RBRargo datasets and, in one case, an offset exceeding the Argo target salinity limits. Being a statistical tool, the OWC method cannot strictly determine whether deviations in salinity measurements with respect to a reference hydrographic product (e.g., climatologies) are caused by oceanographic variability or sensor problems. So, this study furthermore investigates anomalous salinity measurements observed when compared with a reference product and demonstrates that anomalous values tend to occur in regions with a high degree of variability and can be better explained by imperfect reference data rather than sensor drift. This study concludes that the RBR inductive cell is a viable option for salinity measurements as part of the Argo program.</description><identifier>ISSN: 0739-0572</identifier><identifier>EISSN: 1520-0426</identifier><identifier>DOI: 10.1175/JTECH-D-20-0058.1</identifier><language>eng</language><publisher>Boston: American Meteorological Society</publisher><subject>Accuracy ; Cells ; Conductivity ; Datasets ; Drift ; Drifters ; Electrodes ; Floats ; Geometry ; Governance ; Methods ; Oceanographic variability ; Payloads ; Quality control ; Salinity ; Salinity effects ; Salinity measurements ; Sciences of the Universe ; Seawater ; Sensors ; Stability ; Stability analysis ; Variability</subject><ispartof>Journal of atmospheric and oceanic technology, 2020-12, Vol.37 (12), p.2209-2223</ispartof><rights>Copyright American Meteorological Society Dec 2020</rights><rights>Attribution</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c350t-a6e2d32e7307f83340c6ce5f97f4ba81a385b55ca34126a11b17f433350b61f3</citedby><cites>FETCH-LOGICAL-c350t-a6e2d32e7307f83340c6ce5f97f4ba81a385b55ca34126a11b17f433350b61f3</cites><orcidid>0000-0001-7231-2095</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://hal.science/hal-04203223$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Nezlin, Nikolay P.</creatorcontrib><creatorcontrib>Dever, Mathieu</creatorcontrib><creatorcontrib>Halverson, Mark</creatorcontrib><creatorcontrib>Leconte, Jean-Michel</creatorcontrib><creatorcontrib>Maze, Guillaume</creatorcontrib><creatorcontrib>Richards, Clark</creatorcontrib><creatorcontrib>Shkvorets, Igor</creatorcontrib><creatorcontrib>Zhang, Rui</creatorcontrib><creatorcontrib>Johnson, Greg</creatorcontrib><title>Accuracy and Long-Term Stability Assessment of Inductive Conductivity Cell Measurements on Argo Floats</title><title>Journal of atmospheric and oceanic technology</title><description>This study demonstrates the long-term stability of salinity measurements from Argo floats equipped with inductive conductivity cells, which have extended float lifetimes as compared to electrode-type cells. New Argo float sensor payloads must meet the demands of the Argo governance committees before they are implemented globally. Currently, the use of CTDs with inductive cells designed and manufactured by RBR, Ltd., has been approved as a Global Argo Pilot. One requirement for new sensors is to demonstrate stable measurements over the lifetime of a float. To demonstrate this, data from four Argo floats in the western Pacific Ocean equipped with the RBRargo CTD sensor package are analyzed using the same Owens–Wong–Cabanes (OWC) method and reference datasets as the Argo delayed-mode quality control (DMQC) operators. When run with default settings against the standard DMQC Argo and CTD databases, the OWC analysis reveals no drift in any of the four RBRargo datasets and, in one case, an offset exceeding the Argo target salinity limits. Being a statistical tool, the OWC method cannot strictly determine whether deviations in salinity measurements with respect to a reference hydrographic product (e.g., climatologies) are caused by oceanographic variability or sensor problems. So, this study furthermore investigates anomalous salinity measurements observed when compared with a reference product and demonstrates that anomalous values tend to occur in regions with a high degree of variability and can be better explained by imperfect reference data rather than sensor drift. This study concludes that the RBR inductive cell is a viable option for salinity measurements as part of the Argo program.</description><subject>Accuracy</subject><subject>Cells</subject><subject>Conductivity</subject><subject>Datasets</subject><subject>Drift</subject><subject>Drifters</subject><subject>Electrodes</subject><subject>Floats</subject><subject>Geometry</subject><subject>Governance</subject><subject>Methods</subject><subject>Oceanographic variability</subject><subject>Payloads</subject><subject>Quality control</subject><subject>Salinity</subject><subject>Salinity effects</subject><subject>Salinity measurements</subject><subject>Sciences of the Universe</subject><subject>Seawater</subject><subject>Sensors</subject><subject>Stability</subject><subject>Stability analysis</subject><subject>Variability</subject><issn>0739-0572</issn><issn>1520-0426</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNo9kD1PwzAQhi0EEqXwA9gsMTGk-Hxxko5RSmlREAPZLcd1Sqo0LnZSqf-ehFbohvt67tXpJeQR2AwgFi_vxWu2ChYBZwFjIpnBFZmAGLuQR9dkwmKcB0zE_Jbceb9jjAFCNCFVqnXvlD5R1W5obtttUBi3p1-dKuum7k409d54vzdtR21F1-2m1119NDSzl3KEMtM09MMo3zszop7alqZua-mysarz9-SmUo03D5c8JcXytRg-zj_f1lmaBxoF6wIVGb5BbmJkcZUghkxH2ohqHldhqRJQmIhSCK0wBB4pgBKGDeJwXEZQ4ZQ8n2W_VSMPrt4rd5JW1XKV5nKcDW4w5ByPMLBPZ_bg7E9vfCd3tnft8J3kAgAFsiGmBM6UdtZ7Z6p_WWBydF7-OS8XkjM5Oi8BfwHWanXB</recordid><startdate>202012</startdate><enddate>202012</enddate><creator>Nezlin, Nikolay P.</creator><creator>Dever, Mathieu</creator><creator>Halverson, Mark</creator><creator>Leconte, Jean-Michel</creator><creator>Maze, Guillaume</creator><creator>Richards, Clark</creator><creator>Shkvorets, Igor</creator><creator>Zhang, Rui</creator><creator>Johnson, Greg</creator><general>American Meteorological Society</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>7XB</scope><scope>88F</scope><scope>88I</scope><scope>8AF</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H8D</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>L7M</scope><scope>M1Q</scope><scope>M2O</scope><scope>M2P</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>S0X</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0001-7231-2095</orcidid></search><sort><creationdate>202012</creationdate><title>Accuracy and Long-Term Stability Assessment of Inductive Conductivity Cell Measurements on Argo Floats</title><author>Nezlin, Nikolay P. ; Dever, Mathieu ; Halverson, Mark ; Leconte, Jean-Michel ; Maze, Guillaume ; Richards, Clark ; Shkvorets, Igor ; Zhang, Rui ; Johnson, Greg</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c350t-a6e2d32e7307f83340c6ce5f97f4ba81a385b55ca34126a11b17f433350b61f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Accuracy</topic><topic>Cells</topic><topic>Conductivity</topic><topic>Datasets</topic><topic>Drift</topic><topic>Drifters</topic><topic>Electrodes</topic><topic>Floats</topic><topic>Geometry</topic><topic>Governance</topic><topic>Methods</topic><topic>Oceanographic variability</topic><topic>Payloads</topic><topic>Quality control</topic><topic>Salinity</topic><topic>Salinity effects</topic><topic>Salinity measurements</topic><topic>Sciences of the Universe</topic><topic>Seawater</topic><topic>Sensors</topic><topic>Stability</topic><topic>Stability analysis</topic><topic>Variability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nezlin, Nikolay P.</creatorcontrib><creatorcontrib>Dever, Mathieu</creatorcontrib><creatorcontrib>Halverson, Mark</creatorcontrib><creatorcontrib>Leconte, Jean-Michel</creatorcontrib><creatorcontrib>Maze, Guillaume</creatorcontrib><creatorcontrib>Richards, Clark</creatorcontrib><creatorcontrib>Shkvorets, Igor</creatorcontrib><creatorcontrib>Zhang, Rui</creatorcontrib><creatorcontrib>Johnson, Greg</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Military Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ProQuest Military Database</collection><collection>ProQuest research library</collection><collection>ProQuest Science Journals</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Journal of atmospheric and oceanic technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nezlin, Nikolay P.</au><au>Dever, Mathieu</au><au>Halverson, Mark</au><au>Leconte, Jean-Michel</au><au>Maze, Guillaume</au><au>Richards, Clark</au><au>Shkvorets, Igor</au><au>Zhang, Rui</au><au>Johnson, Greg</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Accuracy and Long-Term Stability Assessment of Inductive Conductivity Cell Measurements on Argo Floats</atitle><jtitle>Journal of atmospheric and oceanic technology</jtitle><date>2020-12</date><risdate>2020</risdate><volume>37</volume><issue>12</issue><spage>2209</spage><epage>2223</epage><pages>2209-2223</pages><issn>0739-0572</issn><eissn>1520-0426</eissn><abstract>This study demonstrates the long-term stability of salinity measurements from Argo floats equipped with inductive conductivity cells, which have extended float lifetimes as compared to electrode-type cells. New Argo float sensor payloads must meet the demands of the Argo governance committees before they are implemented globally. Currently, the use of CTDs with inductive cells designed and manufactured by RBR, Ltd., has been approved as a Global Argo Pilot. One requirement for new sensors is to demonstrate stable measurements over the lifetime of a float. To demonstrate this, data from four Argo floats in the western Pacific Ocean equipped with the RBRargo CTD sensor package are analyzed using the same Owens–Wong–Cabanes (OWC) method and reference datasets as the Argo delayed-mode quality control (DMQC) operators. When run with default settings against the standard DMQC Argo and CTD databases, the OWC analysis reveals no drift in any of the four RBRargo datasets and, in one case, an offset exceeding the Argo target salinity limits. Being a statistical tool, the OWC method cannot strictly determine whether deviations in salinity measurements with respect to a reference hydrographic product (e.g., climatologies) are caused by oceanographic variability or sensor problems. So, this study furthermore investigates anomalous salinity measurements observed when compared with a reference product and demonstrates that anomalous values tend to occur in regions with a high degree of variability and can be better explained by imperfect reference data rather than sensor drift. This study concludes that the RBR inductive cell is a viable option for salinity measurements as part of the Argo program.</abstract><cop>Boston</cop><pub>American Meteorological Society</pub><doi>10.1175/JTECH-D-20-0058.1</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0001-7231-2095</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0739-0572 |
ispartof | Journal of atmospheric and oceanic technology, 2020-12, Vol.37 (12), p.2209-2223 |
issn | 0739-0572 1520-0426 |
language | eng |
recordid | cdi_hal_primary_oai_HAL_hal_04203223v1 |
source | Freely Accessible Science Journals - check A-Z of ejournals |
subjects | Accuracy Cells Conductivity Datasets Drift Drifters Electrodes Floats Geometry Governance Methods Oceanographic variability Payloads Quality control Salinity Salinity effects Salinity measurements Sciences of the Universe Seawater Sensors Stability Stability analysis Variability |
title | Accuracy and Long-Term Stability Assessment of Inductive Conductivity Cell Measurements on Argo Floats |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T00%3A54%3A13IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_hal_p&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Accuracy%20and%20Long-Term%20Stability%20Assessment%20of%20Inductive%20Conductivity%20Cell%20Measurements%20on%20Argo%20Floats&rft.jtitle=Journal%20of%20atmospheric%20and%20oceanic%20technology&rft.au=Nezlin,%20Nikolay%20P.&rft.date=2020-12&rft.volume=37&rft.issue=12&rft.spage=2209&rft.epage=2223&rft.pages=2209-2223&rft.issn=0739-0572&rft.eissn=1520-0426&rft_id=info:doi/10.1175/JTECH-D-20-0058.1&rft_dat=%3Cproquest_hal_p%3E2511353030%3C/proquest_hal_p%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c350t-a6e2d32e7307f83340c6ce5f97f4ba81a385b55ca34126a11b17f433350b61f3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2511353030&rft_id=info:pmid/&rfr_iscdi=true |