Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic—The Glider Project

Effective ocean management requires integrated and sustainable ocean observing systems enabling us to map and understand ecosystem properties and the effects of human activities. Autonomous subsurface and surface vehicles, here collectively referred to as “gliders”, are part of such ocean observing...

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Published in:Sensors
Main Authors: Camus, Lionel, Andrade, Hector, Aniceto, Ana Sofia, Aune, Magnus, Bandara, Kanchana, Basedow, Sünnje Linnéa, Christensen, Kai Håkon, Cook, Jeremy, Daase, Malin, Dunlop, Katherine Mary, Falk-Petersen, Stig, fietzek, Peter, Fonnes, Gro, Ghaffari, Peygham, Gramvik, Geir, Graves, Inger, Hayes, Daniel, Langeland, Tom, Lura, Harald, Marin, Trond Kristiansen, Nøst, Ole Anders, Peddie, David, Pederick, Joel, Pedersen, Geir, Sperrevik, Ann Kristin, Sørensen, Kai, Tassara, Luca, Tjøstheim, Sigurd, Tverberg, Vigdis, Dahle, Salve
Format: Article in Journal/Newspaper
Language:English
Published: MDPI 2021
Subjects:
Online Access:https://hdl.handle.net/10037/23035
https://doi.org/10.3390/s21206752
id ftunivtroemsoe:oai:munin.uit.no:10037/23035
record_format openpolar
spelling ftunivtroemsoe:oai:munin.uit.no:10037/23035 2023-05-15T14:28:02+02:00 Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic—The Glider Project Camus, Lionel Andrade, Hector Aniceto, Ana Sofia Aune, Magnus Bandara, Kanchana Basedow, Sünnje Linnéa Christensen, Kai Håkon Cook, Jeremy Daase, Malin Dunlop, Katherine Mary Falk-Petersen, Stig fietzek, Peter Fonnes, Gro Ghaffari, Peygham Gramvik, Geir Graves, Inger Hayes, Daniel Langeland, Tom Lura, Harald Marin, Trond Kristiansen Nøst, Ole Anders Peddie, David Pederick, Joel Pedersen, Geir Sperrevik, Ann Kristin Sørensen, Kai Tassara, Luca Tjøstheim, Sigurd Tverberg, Vigdis Dahle, Salve 2021-10-12 https://hdl.handle.net/10037/23035 https://doi.org/10.3390/s21206752 eng eng MDPI Sensors info:eu-repo/grantAgreement/RCN/DEMO2000/269188/Norway/Unmanned ocean vehicles, a flexible and cost-efficient offshore monitoring and data management approach// Camus L, Andrade H, Aniceto AS, Aune M, Bandara K, Basedow SL, Christensen KH, Cook J, Daase M, Dunlop KM, Falk-Petersen S, fietzek, Fonnes G, Ghaffari P, Gramvik G, Graves I, Hayes D, Langeland, Lura H, Marin, Nøst OA, Peddie D, Pederick J, Pedersen G, Sperrevik A, Sørensen K, Tassara L, Tjøstheim S, Tverberg V, Dahle S. Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic—The Glider Project. Sensors. 2021;21(20):6752 FRIDAID 1955121 doi:10.3390/s21206752 1424-8220 https://hdl.handle.net/10037/23035 openAccess Copyright 2021 The Author(s) VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920 VDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920 Journal article Tidsskriftartikkel Peer reviewed publishedVersion 2021 ftunivtroemsoe https://doi.org/10.3390/s21206752 2021-11-17T23:54:38Z Effective ocean management requires integrated and sustainable ocean observing systems enabling us to map and understand ecosystem properties and the effects of human activities. Autonomous subsurface and surface vehicles, here collectively referred to as “gliders”, are part of such ocean observing systems providing high spatiotemporal resolution. In this paper, we present some of the results achieved through the project “Unmanned ocean vehicles, a flexible and cost-efficient offshore monitoring and data management approach—GLIDER”. In this project, three autonomous surface and underwater vehicles were deployed along the Lofoten–Vesterålen (LoVe) shelf-slope-oceanic system, in Arctic Norway. The aim of this effort was to test whether gliders equipped with novel sensors could effectively perform ecosystem surveys by recording physical, biogeochemical, and biological data simultaneously. From March to September 2018, a period of high biological activity in the area, the gliders were able to record a set of environmental parameters, including temperature, salinity, and oxygen, map the spatiotemporal distribution of zooplankton, and record cetacean vocalizations and anthropogenic noise. A subset of these parameters was effectively employed in near-real-time data assimilative ocean circulation models, improving their local predictive skills. The results presented here demonstrate that autonomous gliders can be effective long-term, remote, noninvasive ecosystem monitoring and research platforms capable of operating in high-latitude marine ecosystems. Accordingly, these platforms can record high-quality baseline environmental data in areas where extractive activities are planned and provide much-needed information for operational and management purposes. Article in Journal/Newspaper Arctic Arctic Lofoten Vesterålen Zooplankton University of Tromsø: Munin Open Research Archive Arctic Lofoten Norway Vesterålen ENVELOPE(14.939,14.939,68.754,68.754) Sensors 21 20 6752
institution Open Polar
collection University of Tromsø: Munin Open Research Archive
op_collection_id ftunivtroemsoe
language English
topic VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920
VDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920
spellingShingle VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920
VDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920
Camus, Lionel
Andrade, Hector
Aniceto, Ana Sofia
Aune, Magnus
Bandara, Kanchana
Basedow, Sünnje Linnéa
Christensen, Kai Håkon
Cook, Jeremy
Daase, Malin
Dunlop, Katherine Mary
Falk-Petersen, Stig
fietzek, Peter
Fonnes, Gro
Ghaffari, Peygham
Gramvik, Geir
Graves, Inger
Hayes, Daniel
Langeland, Tom
Lura, Harald
Marin, Trond Kristiansen
Nøst, Ole Anders
Peddie, David
Pederick, Joel
Pedersen, Geir
Sperrevik, Ann Kristin
Sørensen, Kai
Tassara, Luca
Tjøstheim, Sigurd
Tverberg, Vigdis
Dahle, Salve
Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic—The Glider Project
topic_facet VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920
VDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920
description Effective ocean management requires integrated and sustainable ocean observing systems enabling us to map and understand ecosystem properties and the effects of human activities. Autonomous subsurface and surface vehicles, here collectively referred to as “gliders”, are part of such ocean observing systems providing high spatiotemporal resolution. In this paper, we present some of the results achieved through the project “Unmanned ocean vehicles, a flexible and cost-efficient offshore monitoring and data management approach—GLIDER”. In this project, three autonomous surface and underwater vehicles were deployed along the Lofoten–Vesterålen (LoVe) shelf-slope-oceanic system, in Arctic Norway. The aim of this effort was to test whether gliders equipped with novel sensors could effectively perform ecosystem surveys by recording physical, biogeochemical, and biological data simultaneously. From March to September 2018, a period of high biological activity in the area, the gliders were able to record a set of environmental parameters, including temperature, salinity, and oxygen, map the spatiotemporal distribution of zooplankton, and record cetacean vocalizations and anthropogenic noise. A subset of these parameters was effectively employed in near-real-time data assimilative ocean circulation models, improving their local predictive skills. The results presented here demonstrate that autonomous gliders can be effective long-term, remote, noninvasive ecosystem monitoring and research platforms capable of operating in high-latitude marine ecosystems. Accordingly, these platforms can record high-quality baseline environmental data in areas where extractive activities are planned and provide much-needed information for operational and management purposes.
format Article in Journal/Newspaper
author Camus, Lionel
Andrade, Hector
Aniceto, Ana Sofia
Aune, Magnus
Bandara, Kanchana
Basedow, Sünnje Linnéa
Christensen, Kai Håkon
Cook, Jeremy
Daase, Malin
Dunlop, Katherine Mary
Falk-Petersen, Stig
fietzek, Peter
Fonnes, Gro
Ghaffari, Peygham
Gramvik, Geir
Graves, Inger
Hayes, Daniel
Langeland, Tom
Lura, Harald
Marin, Trond Kristiansen
Nøst, Ole Anders
Peddie, David
Pederick, Joel
Pedersen, Geir
Sperrevik, Ann Kristin
Sørensen, Kai
Tassara, Luca
Tjøstheim, Sigurd
Tverberg, Vigdis
Dahle, Salve
author_facet Camus, Lionel
Andrade, Hector
Aniceto, Ana Sofia
Aune, Magnus
Bandara, Kanchana
Basedow, Sünnje Linnéa
Christensen, Kai Håkon
Cook, Jeremy
Daase, Malin
Dunlop, Katherine Mary
Falk-Petersen, Stig
fietzek, Peter
Fonnes, Gro
Ghaffari, Peygham
Gramvik, Geir
Graves, Inger
Hayes, Daniel
Langeland, Tom
Lura, Harald
Marin, Trond Kristiansen
Nøst, Ole Anders
Peddie, David
Pederick, Joel
Pedersen, Geir
Sperrevik, Ann Kristin
Sørensen, Kai
Tassara, Luca
Tjøstheim, Sigurd
Tverberg, Vigdis
Dahle, Salve
author_sort Camus, Lionel
title Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic—The Glider Project
title_short Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic—The Glider Project
title_full Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic—The Glider Project
title_fullStr Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic—The Glider Project
title_full_unstemmed Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic—The Glider Project
title_sort autonomous surface and underwater vehicles as effective ecosystem monitoring and research platforms in the arctic—the glider project
publisher MDPI
publishDate 2021
url https://hdl.handle.net/10037/23035
https://doi.org/10.3390/s21206752
long_lat ENVELOPE(14.939,14.939,68.754,68.754)
geographic Arctic
Lofoten
Norway
Vesterålen
geographic_facet Arctic
Lofoten
Norway
Vesterålen
genre Arctic
Arctic
Lofoten
Vesterålen
Zooplankton
genre_facet Arctic
Arctic
Lofoten
Vesterålen
Zooplankton
op_relation Sensors
info:eu-repo/grantAgreement/RCN/DEMO2000/269188/Norway/Unmanned ocean vehicles, a flexible and cost-efficient offshore monitoring and data management approach//
Camus L, Andrade H, Aniceto AS, Aune M, Bandara K, Basedow SL, Christensen KH, Cook J, Daase M, Dunlop KM, Falk-Petersen S, fietzek, Fonnes G, Ghaffari P, Gramvik G, Graves I, Hayes D, Langeland, Lura H, Marin, Nøst OA, Peddie D, Pederick J, Pedersen G, Sperrevik A, Sørensen K, Tassara L, Tjøstheim S, Tverberg V, Dahle S. Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic—The Glider Project. Sensors. 2021;21(20):6752
FRIDAID 1955121
doi:10.3390/s21206752
1424-8220
https://hdl.handle.net/10037/23035
op_rights openAccess
Copyright 2021 The Author(s)
op_doi https://doi.org/10.3390/s21206752
container_title Sensors
container_volume 21
container_issue 20
container_start_page 6752
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