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://doi.org/10.3390/s21206752 https://doaj.org/article/44440862907347219149609cea55866e |
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ftdoajarticles:oai:doaj.org/article:44440862907347219149609cea55866e 2023-05-15T14:59:59+02:00 Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic—The Glider Project Lionel Camus Hector Andrade Ana Sofia Aniceto Magnus Aune Kanchana Bandara Sünnje Linnéa Basedow Kai Håkon Christensen Jeremy Cook Malin Daase Katherine Dunlop Stig Falk-Petersen Peer Fietzek Gro Fonnes Peygham Ghaffari Geir Gramvik Inger Graves Daniel Hayes Tor Langeland Harald Lura Trond Kristiansen Marin Ole Anders Nøst David Peddie Joel Pederick Geir Pedersen Ann Kristin Sperrevik Kai Sørensen Luca Tassara Sigurd Tjøstheim Vigdis Tverberg Salve Dahle 2021-10-01T00:00:00Z https://doi.org/10.3390/s21206752 https://doaj.org/article/44440862907347219149609cea55866e EN eng MDPI AG https://www.mdpi.com/1424-8220/21/20/6752 https://doaj.org/toc/1424-8220 doi:10.3390/s21206752 1424-8220 https://doaj.org/article/44440862907347219149609cea55866e Sensors, Vol 21, Iss 6752, p 6752 (2021) glider remote sensing ecosystem monitoring Lofoten–Vesterålen Chemical technology TP1-1185 article 2021 ftdoajarticles https://doi.org/10.3390/s21206752 2022-12-30T23:35:20Z 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 Lofoten Vesterålen Zooplankton Directory of Open Access Journals: DOAJ Articles Arctic Lofoten Norway Vesterålen ENVELOPE(14.939,14.939,68.754,68.754) Sensors 21 20 6752 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
glider remote sensing ecosystem monitoring Lofoten–Vesterålen Chemical technology TP1-1185 |
spellingShingle |
glider remote sensing ecosystem monitoring Lofoten–Vesterålen Chemical technology TP1-1185 Lionel Camus Hector Andrade Ana Sofia Aniceto Magnus Aune Kanchana Bandara Sünnje Linnéa Basedow Kai Håkon Christensen Jeremy Cook Malin Daase Katherine Dunlop Stig Falk-Petersen Peer Fietzek Gro Fonnes Peygham Ghaffari Geir Gramvik Inger Graves Daniel Hayes Tor Langeland Harald Lura Trond Kristiansen Marin Ole Anders Nøst David Peddie Joel Pederick Geir Pedersen Ann Kristin Sperrevik Kai Sørensen Luca Tassara Sigurd Tjøstheim Vigdis Tverberg Salve Dahle Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic—The Glider Project |
topic_facet |
glider remote sensing ecosystem monitoring Lofoten–Vesterålen Chemical technology TP1-1185 |
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 |
Lionel Camus Hector Andrade Ana Sofia Aniceto Magnus Aune Kanchana Bandara Sünnje Linnéa Basedow Kai Håkon Christensen Jeremy Cook Malin Daase Katherine Dunlop Stig Falk-Petersen Peer Fietzek Gro Fonnes Peygham Ghaffari Geir Gramvik Inger Graves Daniel Hayes Tor Langeland Harald Lura Trond Kristiansen Marin Ole Anders Nøst David Peddie Joel Pederick Geir Pedersen Ann Kristin Sperrevik Kai Sørensen Luca Tassara Sigurd Tjøstheim Vigdis Tverberg Salve Dahle |
author_facet |
Lionel Camus Hector Andrade Ana Sofia Aniceto Magnus Aune Kanchana Bandara Sünnje Linnéa Basedow Kai Håkon Christensen Jeremy Cook Malin Daase Katherine Dunlop Stig Falk-Petersen Peer Fietzek Gro Fonnes Peygham Ghaffari Geir Gramvik Inger Graves Daniel Hayes Tor Langeland Harald Lura Trond Kristiansen Marin Ole Anders Nøst David Peddie Joel Pederick Geir Pedersen Ann Kristin Sperrevik Kai Sørensen Luca Tassara Sigurd Tjøstheim Vigdis Tverberg Salve Dahle |
author_sort |
Lionel Camus |
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 AG |
publishDate |
2021 |
url |
https://doi.org/10.3390/s21206752 https://doaj.org/article/44440862907347219149609cea55866e |
long_lat |
ENVELOPE(14.939,14.939,68.754,68.754) |
geographic |
Arctic Lofoten Norway Vesterålen |
geographic_facet |
Arctic Lofoten Norway Vesterålen |
genre |
Arctic Lofoten Vesterålen Zooplankton |
genre_facet |
Arctic Lofoten Vesterålen Zooplankton |
op_source |
Sensors, Vol 21, Iss 6752, p 6752 (2021) |
op_relation |
https://www.mdpi.com/1424-8220/21/20/6752 https://doaj.org/toc/1424-8220 doi:10.3390/s21206752 1424-8220 https://doaj.org/article/44440862907347219149609cea55866e |
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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1766332093869064192 |