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...

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Autores principales: Nicolai von Oppeln-Bronikowski, Mingxi Zhou, Taimaz Bahadory, Brad de Young
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Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
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Acceso en línea:https://doaj.org/article/765aa3c5429149ddbd7d97cdab6433e7
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spelling oai:doaj.org-article:765aa3c5429149ddbd7d97cdab6433e72021-11-17T04:53:34ZOverview of a new Ocean Glider Navigation System: OceanGNS2296-774510.3389/fmars.2021.671103https://doaj.org/article/765aa3c5429149ddbd7d97cdab6433e72021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fmars.2021.671103/fullhttps://doaj.org/toc/2296-7745Ocean 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.Nicolai von Oppeln-BronikowskiMingxi ZhouTaimaz BahadoryBrad de YoungFrontiers Media S.A.articleAUV navigationocean glider navigationglider path-planningcoordinated ocean observingmission planning toolsScienceQGeneral. Including nature conservation, geographical distributionQH1-199.5ENFrontiers in Marine Science, Vol 8 (2021)
institution DOAJ
collection DOAJ
language EN
topic AUV navigation
ocean glider navigation
glider path-planning
coordinated ocean observing
mission planning tools
Science
Q
General. Including nature conservation, geographical distribution
QH1-199.5
spellingShingle AUV navigation
ocean glider navigation
glider path-planning
coordinated ocean observing
mission planning tools
Science
Q
General. Including nature conservation, geographical distribution
QH1-199.5
Nicolai von Oppeln-Bronikowski
Mingxi Zhou
Taimaz Bahadory
Brad de Young
Overview of a new Ocean Glider Navigation System: OceanGNS
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.
format article
author Nicolai von Oppeln-Bronikowski
Mingxi Zhou
Taimaz Bahadory
Brad de Young
author_facet Nicolai von Oppeln-Bronikowski
Mingxi Zhou
Taimaz Bahadory
Brad de Young
author_sort Nicolai von Oppeln-Bronikowski
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 S.A.
publishDate 2021
url https://doaj.org/article/765aa3c5429149ddbd7d97cdab6433e7
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AT mingxizhou overviewofanewoceanglidernavigationsystemoceangns
AT taimazbahadory overviewofanewoceanglidernavigationsystemoceangns
AT braddeyoung overviewofanewoceanglidernavigationsystemoceangns
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