By Hernández-Carrasco, Ismael; Hernández-García, Emilio; López, Cristóbal, Turiel, Antonio.
Poster presented at EGU-2010, 07-05-2010 (Viena) 2010
Due to its inherent turbulent nature, ocean motion possess a
great complexity. We can barely describe the main patterns of general
circulation at large scale, but the extreme richness of circulation patterns at
mesoscale and lower scales makes the assessment of ocean evolution
quite complicated. These difficulties are specially relevant when one
tries to study problems of Lagrangian character, such as mixing,
dispersion and transport of oceanic properties. For that reason, the
implementation of appropriate Lagrangian diagnostic tools are in order.
A prominent Lagrangian technique which starts to be widely used in
oceanography is that of Finite-Size Lyapunov Exponents (FSLE). FSLE is
a local measure of particle dispersion is obtained at each point,
which serves to characterize Lagrangian structures. Although
mathematically appealing, it is rather unclear how robust are FSLE analyses
when confronted to real data, that is, data affected by noise and with
limited scale sampling. In this paper, we analyze the effect of
finite scale samplings and of diverse types of noise on FSLE
diagnostics. Both effects should be accounted to determine which part of
the diagnostics is reliable. Most importantly, scale dependence of FSLE reveals
the emergence of a cascade-like hierarchy in Lagrangian structures, which can
be used to improve diagnostics and to better understand ocean dynamics
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