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Nonlinear Processes in Geophysics An interactive open-access journal of the European Geosciences Union
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Volume 21, issue 1
Nonlin. Processes Geophys., 21, 291-301, 2014
https://doi.org/10.5194/npg-21-291-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Nonlinear dynamics in oceanic and atmospheric flows: theory...

Nonlin. Processes Geophys., 21, 291-301, 2014
https://doi.org/10.5194/npg-21-291-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 26 Feb 2014

Research article | 26 Feb 2014

Sensibility to noise of new multifractal fusion methods for ocean variables

A. Turiel1, J. Isern-Fontanet2, and M. Umbert1 A. Turiel et al.
  • 1Institut de Ciencies del Mar, CSIC, Barcelona, Spain
  • 2Institut Catala de Ciencies del Clima (IC3), Barcelona, Spain

Abstract. The repeated observation of the same signatures of mesoscale and submesoscale features in different ocean variables indicates that some common, non-linear processes affect them to a significant extent. A new method to exploit these common signatures to improve the quality of a noisy variable (i.e. increasing the signal-to-noise ratio) using another variable as template has recently been introduced. The method is based on superimposing the multifractal structure of singularity exponents from the template variable to the variable to be enhanced. In this paper, we will discuss the sensitivity of this method to the presence of noise of different types and amplitude. Our results indicate that multifractal methods can be a key to enhancing the existing databases of remote sensing images and give hints about non-linear dynamics of the ocean.

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