Part of the Springer Theses book series (Springer Theses)


The methodology applied along this thesis comes from a scientific method in which the available observational data are analyzed with the aim of posing preliminary working hypotheses to be tested with a dynamical model. This line of work starts with the preprocessing of data, a procedure that facilitates the subsequent application of the different methodologies.


Expansion Coefficient Time Series Maximum Covariance Analysis Irrotational Component Time-filtered Data Initial Null Hypothesis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Faculty of Physical Sciences, Department of Earth Physics and AstrophysicsComplutense University of MadridLos MolinosSpain

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