Abstract
While traditional glider path planning relies on constant model forecasts with only a limited range, a new approach to glider operation is based on automated topographical understanding incorporating feature detection and tracking techniques. Encapsulating the key elements of ocean structure dynamics and focusing on their behaviour an alternative prediction data model can be developed. This feature-based characterization is then used to improve upon the glider path planning. Additionally a structural comparison of ROMs and global models is conducted as well as a forecast assessment within the model. This approach is applied to the case of mesoscale eddies that form around the canary islands and spin off describing various trajectories depending on origin, type and time of the year.
Partially funded by Canary Island government - FEDER (proj. 2010/62) and Dep. Informatica y Sistemas ULPGC.
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Hernandez, D. et al. (2015). Ocean Glider Path Planning Based on Automatic Structure Detection and Tracking. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2015. EUROCAST 2015. Lecture Notes in Computer Science(), vol 9520. Springer, Cham. https://doi.org/10.1007/978-3-319-27340-2_88
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DOI: https://doi.org/10.1007/978-3-319-27340-2_88
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