Underwater glider reliability and implications for survey design
Underwater glider reliability and implications for survey design
It has been 20 years since the concept of Autonomous Oceanographic Sampling Network (AOSN) was first introduced. This vision has been brought closer to reality with the introduction of undersea gliders. Whilst in terms of functionality the undersea glider has shown to be capable of meeting the AOSN vision, in terms of reliability there is no community-wide hard evidence on whether persistent presence is currently being achieved. This paper studies the reliability of undersea gliders in order to assess the feasibility of using these platforms for future AOSN. The data used is taken from 205 deployments of gliders by 12 European laboratories between 2008 and 2012. Risk profiles were calculated for two makes of deep underwater glider; there is no statistically significant difference between them. Regardless of make the probability of a deep undersea glider surviving a 90 day mission without pre-mature mission end is approximately 0.5. The probability of a shallow undersea glider surviving 30 day mission without premature mission end is 0.59. This implies that to date factors other than the energy available are preventing undersea gliders achieving their maximum capability. This reliability information was used to quantify the likelihood of two reported undersea glider surveys meeting the observation needs for a period of 6 months and to quantify the level of redundancy needed to in order to increase the likelihood of meeting the observation needs.
Instrumentation/sensors, Risk assessment, Statistical techniques
2858-2870
Brito, M.P.
82e798e7-e032-4841-992e-81c6f13a9e6c
Smeed, D.A.
79eece5a-c870-47f9-bba0-0a4ef0369490
Griffiths, G.
2887c3c7-95f2-4834-b3f6-0284344d3580
December 2014
Brito, M.P.
82e798e7-e032-4841-992e-81c6f13a9e6c
Smeed, D.A.
79eece5a-c870-47f9-bba0-0a4ef0369490
Griffiths, G.
2887c3c7-95f2-4834-b3f6-0284344d3580
Brito, M.P., Smeed, D.A. and Griffiths, G.
(2014)
Underwater glider reliability and implications for survey design.
Journal of Atmospheric and Oceanic Technology, 31 (12), .
(doi:10.1175/JTECH-D-13-00138.1).
Abstract
It has been 20 years since the concept of Autonomous Oceanographic Sampling Network (AOSN) was first introduced. This vision has been brought closer to reality with the introduction of undersea gliders. Whilst in terms of functionality the undersea glider has shown to be capable of meeting the AOSN vision, in terms of reliability there is no community-wide hard evidence on whether persistent presence is currently being achieved. This paper studies the reliability of undersea gliders in order to assess the feasibility of using these platforms for future AOSN. The data used is taken from 205 deployments of gliders by 12 European laboratories between 2008 and 2012. Risk profiles were calculated for two makes of deep underwater glider; there is no statistically significant difference between them. Regardless of make the probability of a deep undersea glider surviving a 90 day mission without pre-mature mission end is approximately 0.5. The probability of a shallow undersea glider surviving 30 day mission without premature mission end is 0.59. This implies that to date factors other than the energy available are preventing undersea gliders achieving their maximum capability. This reliability information was used to quantify the likelihood of two reported undersea glider surveys meeting the observation needs for a period of 6 months and to quantify the level of redundancy needed to in order to increase the likelihood of meeting the observation needs.
Text
JTECH-D-13-00138.1.pdf
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More information
Submitted date: June 2013
Accepted/In Press date: February 2014
e-pub ahead of print date: 15 December 2014
Published date: December 2014
Keywords:
Instrumentation/sensors, Risk assessment, Statistical techniques
Organisations:
Marine Systems Modelling, Ocean Technology and Engineering
Identifiers
Local EPrints ID: 354664
URI: http://eprints.soton.ac.uk/id/eprint/354664
ISSN: 0739-0572
PURE UUID: a309fe92-2d63-429c-88b4-2e3e7a9b31c6
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Date deposited: 17 Jul 2013 09:32
Last modified: 15 Mar 2024 03:31
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Contributors
Author:
D.A. Smeed
Author:
G. Griffiths
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