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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Glider Path-Planning for Optimal Sampling of Mesoscale Eddies
verfasst von : Daniel Hernández, Ryan Smith, Enrique Fernández-Perdomo, Josep Isern-González, Jorge Cabrera, Antonio C. Domínguez-Brito, Victor Prieto-Marañón
Erschienen in: Computer Aided Systems Theory - EUROCAST 2013
Verlag: Springer Berlin Heidelberg
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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.