Autonomous four-dimensional mapping and tracking of a coastal upwelling front by an autonomous underwater vehicle

dc.contributor.author Zhang, Yanwu
dc.contributor.author Bellingham, James G.
dc.contributor.author Ryan, John P.
dc.contributor.author Kieft, Brian
dc.contributor.author Stanway, Michael J.
dc.date.accessioned 2016-03-04T20:35:36Z
dc.date.available 2016-03-04T20:35:36Z
dc.date.issued 2015-07-14
dc.description © The Author(s), 2015. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Journal of Field Robotics 33 (2016): 67-81, doi:10.1002/rob.21617 en_US
dc.description.abstract Coastal upwelling is a wind-driven ocean process that brings cooler, saltier, and nutrient-rich deep water upward to the surface. The boundary between the upwelling water and the normally stratified water is called the “upwelling front.” Upwelling fronts support enriched phytoplankton and zooplankton populations, thus they have great influences on ocean ecosystems. Traditional ship-based methods for detecting and sampling ocean fronts are often laborious and very difficult, and long-term tracking of such dynamic features is practically impossible. In our prior work, we developed a method of using an autonomous underwater vehicle (AUV) to autonomously detect an upwelling front and track the front's movement on a fixed latitude, and we applied the method in scientific experiments. In this paper, we present an extension of the method. Each time the AUV crosses and detects the front, the vehicle makes a turn at an oblique angle to recross the front, thus zigzagging through the front to map the frontal zone. The AUV's zigzag tracks alternate in northward and southward sweeps, so as to track the front as it moves over time. This way, the AUV maps and tracks the front in four dimensions—vertical, cross-front, along-front, and time. From May 29 to June 4, 2013, the Tethys long-range AUV ran the algorithm to map and track an upwelling front in Monterey Bay, CA, over five and one-half days. The tracking revealed spatial and temporal variabilities of the upwelling front. en_US
dc.description.sponsorship This work was supported by the David and Lucile Packard Foundation. en_US
dc.identifier.citation Journal of Field Robotics 33 (2016): 67-81 en_US
dc.identifier.doi 10.1002/rob.21617
dc.identifier.uri https://hdl.handle.net/1912/7829
dc.language.iso en_US en_US
dc.publisher John Wiley & Sons en_US
dc.relation.uri https://doi.org/10.1002/rob.21617
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.title Autonomous four-dimensional mapping and tracking of a coastal upwelling front by an autonomous underwater vehicle en_US
dc.type Article en_US
dspace.entity.type Publication
relation.isAuthorOfPublication c465ea29-c000-444b-a687-f7c04d386633
relation.isAuthorOfPublication 58e8cd7a-8ac1-4cd6-8c35-852e9e0224c1
relation.isAuthorOfPublication 31551dd1-166b-447c-a35d-f1702e3e3244
relation.isAuthorOfPublication 7cb65155-5df8-4ad6-8a18-3b3ada294753
relation.isAuthorOfPublication 289c0735-8610-4c18-b2be-fa8e9ce78f35
relation.isAuthorOfPublication.latestForDiscovery c465ea29-c000-444b-a687-f7c04d386633
Files
Original bundle
Now showing 1 - 2 of 2
Thumbnail Image
Name:
Zhang_et_al-2016-Journal_of_Field_Robotics.pdf
Size:
2.3 MB
Format:
Adobe Portable Document Format
Description:
Article
No Thumbnail Available
Name:
rob21617-sup-0001-SuppMat.mov
Size:
6.94 MB
Format:
Video Quicktime
Description:
Supporting information
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.89 KB
Format:
Item-specific license agreed upon to submission
Description: