Abstract
In the present work we propose a method for generating ocean glider trajectories that optimize the sampling of mesoscale eddy structures based on a given objective function and the predictions available from ROMS maps. The eddy structure is modeled as a 3D volume discretized into sectors rotating around its center at different velocities. The objective functions can then be expressed in terms of those temporal evolving sectors. A set of simulation experiments have been carried out in order to validate the proposal. © 2013 Springer-Verlag Berlin Heidelberg.
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Hernández, D., Smith, R., Fernández-Perdomo, E., Isern-González, J., Cabrera, J., Domínguez-Brito, A. C., & Prieto-Marañón, V. (2013). Glider path-planning for optimal sampling of mesoscale eddies. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8112 LNCS, pp. 321–325). Springer Verlag. https://doi.org/10.1007/978-3-642-53862-9_41
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