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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Online Access: | https://hdl.handle.net/10037/23035 https://doi.org/10.3390/s21206752 |
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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 |
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20 |
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1766302154866294784 |