Overview of a new Ocean Glider Navigation System: OceanGNS
Ocean gliders are increasingly a platform of choice to close the gap between traditional ship-based observations and remote sensing from floats (e.g., Argo) and satellites. However, gliders move slowly and are strongly influenced by currents, reducing useful battery life, challenging mission plannin...
Published in: | Frontiers in Marine Science |
---|---|
Main Authors: | , , , |
Other Authors: | |
Format: | Article in Journal/Newspaper |
Language: | unknown |
Published: |
Frontiers Media SA
2021
|
Subjects: | |
Online Access: | http://dx.doi.org/10.3389/fmars.2021.671103 https://www.frontiersin.org/articles/10.3389/fmars.2021.671103/full |
id |
crfrontiers:10.3389/fmars.2021.671103 |
---|---|
record_format |
openpolar |
spelling |
crfrontiers:10.3389/fmars.2021.671103 2024-02-11T10:05:36+01:00 Overview of a new Ocean Glider Navigation System: OceanGNS von Oppeln-Bronikowski, Nicolai Zhou, Mingxi Bahadory, Taimaz de Young, Brad Ocean Frontier Institute 2021 http://dx.doi.org/10.3389/fmars.2021.671103 https://www.frontiersin.org/articles/10.3389/fmars.2021.671103/full unknown Frontiers Media SA https://creativecommons.org/licenses/by/4.0/ Frontiers in Marine Science volume 8 ISSN 2296-7745 Ocean Engineering Water Science and Technology Aquatic Science Global and Planetary Change Oceanography journal-article 2021 crfrontiers https://doi.org/10.3389/fmars.2021.671103 2024-01-26T10:08:08Z Ocean gliders are increasingly a platform of choice to close the gap between traditional ship-based observations and remote sensing from floats (e.g., Argo) and satellites. However, gliders move slowly and are strongly influenced by currents, reducing useful battery life, challenging mission planning, and increasing pilot workload. We describe a new cloud-based interactive tool to plan glider navigation called OceanGNS © (Ocean Glider Navigation System). OceanGNS integrates current forecasts and historical data to enable glider route–planning at varying scales. OceanGNS utilizes optimal route–planning by minimizing low current velocity constraints by applying a Dijkstra algorithm. The complexity of the resultant path is reduced using a Ramer-Douglas Pueckler model. Users can choose the weighting for historical and forecast data as well as bathymetry and time constraints. Bathymetry is considered using a cost function approach when shallow water is not desirable to find an optimal path that also lies in deeper water. Initial field tests with OceanGNS in the Gulf of St. Lawrence and the Labrador Sea show promising results, improving the glider speed to the destination 10–30%. We use these early tests to demonstrate the utility of OceanGNS to extend glider endurance. This paper provides an overview of the tool, the results from field trials, and a future outlook. Article in Journal/Newspaper Labrador Sea Frontiers (Publisher) Frontiers in Marine Science 8 |
institution |
Open Polar |
collection |
Frontiers (Publisher) |
op_collection_id |
crfrontiers |
language |
unknown |
topic |
Ocean Engineering Water Science and Technology Aquatic Science Global and Planetary Change Oceanography |
spellingShingle |
Ocean Engineering Water Science and Technology Aquatic Science Global and Planetary Change Oceanography von Oppeln-Bronikowski, Nicolai Zhou, Mingxi Bahadory, Taimaz de Young, Brad Overview of a new Ocean Glider Navigation System: OceanGNS |
topic_facet |
Ocean Engineering Water Science and Technology Aquatic Science Global and Planetary Change Oceanography |
description |
Ocean gliders are increasingly a platform of choice to close the gap between traditional ship-based observations and remote sensing from floats (e.g., Argo) and satellites. However, gliders move slowly and are strongly influenced by currents, reducing useful battery life, challenging mission planning, and increasing pilot workload. We describe a new cloud-based interactive tool to plan glider navigation called OceanGNS © (Ocean Glider Navigation System). OceanGNS integrates current forecasts and historical data to enable glider route–planning at varying scales. OceanGNS utilizes optimal route–planning by minimizing low current velocity constraints by applying a Dijkstra algorithm. The complexity of the resultant path is reduced using a Ramer-Douglas Pueckler model. Users can choose the weighting for historical and forecast data as well as bathymetry and time constraints. Bathymetry is considered using a cost function approach when shallow water is not desirable to find an optimal path that also lies in deeper water. Initial field tests with OceanGNS in the Gulf of St. Lawrence and the Labrador Sea show promising results, improving the glider speed to the destination 10–30%. We use these early tests to demonstrate the utility of OceanGNS to extend glider endurance. This paper provides an overview of the tool, the results from field trials, and a future outlook. |
author2 |
Ocean Frontier Institute |
format |
Article in Journal/Newspaper |
author |
von Oppeln-Bronikowski, Nicolai Zhou, Mingxi Bahadory, Taimaz de Young, Brad |
author_facet |
von Oppeln-Bronikowski, Nicolai Zhou, Mingxi Bahadory, Taimaz de Young, Brad |
author_sort |
von Oppeln-Bronikowski, Nicolai |
title |
Overview of a new Ocean Glider Navigation System: OceanGNS |
title_short |
Overview of a new Ocean Glider Navigation System: OceanGNS |
title_full |
Overview of a new Ocean Glider Navigation System: OceanGNS |
title_fullStr |
Overview of a new Ocean Glider Navigation System: OceanGNS |
title_full_unstemmed |
Overview of a new Ocean Glider Navigation System: OceanGNS |
title_sort |
overview of a new ocean glider navigation system: oceangns |
publisher |
Frontiers Media SA |
publishDate |
2021 |
url |
http://dx.doi.org/10.3389/fmars.2021.671103 https://www.frontiersin.org/articles/10.3389/fmars.2021.671103/full |
genre |
Labrador Sea |
genre_facet |
Labrador Sea |
op_source |
Frontiers in Marine Science volume 8 ISSN 2296-7745 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3389/fmars.2021.671103 |
container_title |
Frontiers in Marine Science |
container_volume |
8 |
_version_ |
1790602691680927744 |