How reliable are Finite-Size Lyapunov Exponents for the assessment of ocean dynamics?
arXiv:1009.2419 · doi:10.1016/j.ocemod.2010.12.006
Abstract
Much of atmospheric and oceanic transport is associated with coherent structures. Lagrangian methods are emerging as optimal tools for their identification and analysis. An important Lagrangian technique which is starting to be widely used in oceanography is that of Finite-Size Lyapunov Exponents (FSLEs). Despite this growing relevance there are still many open questions concerning the reliability of the FSLEs in order to analyse the ocean dynamics. In particular, it is still unclear how robust they are when confronted with real data. In this paper we analyze the effect on this Lagrangian technique of the two most important effects when facing real data, namely noise and dynamics of unsolved scales. Our results, using as a benchmarch data from a primitive numerical model of the Mediterranean Sea, show that even when some dynamics is missed the FSLEs results still give an accurate picture of the oceanic transport properties.
28 pages, 12 figures
References in corpus (5)
- Mixing structures in the Mediterranean Sea from Finite-Size Lyapunov Exponents
- Top marine predators track Lagrangian coherent structures
- Comparison between Eulerian diagnostics and finite-size Lyapunov exponents computed from altimetry in the Algerian basin
- Lagrangian transport through an ocean front in the North-Western Mediterranean Sea
- Leaking method approach to surface transport in the Mediterranean Sea from a numerical ocean model
Cited by in corpus (5)
- Hydrodynamic provinces and oceanic connectivity from a transport network help designing marine reserves
- Characterization of the structure and cross-shore transport properties of a coastal upwelling filament using three-dimensional finite-size Lyapunov exponents
- Eddy induced trapping and homogenization of freshwater in the Bay of Bengal
- Lagrangian study of temporal changes of a surface flow through the Kamchatka Strait
- Refining and classifying finite-time Lyapunov exponent ridges