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A new recurrences based technique for detecting robust extrema in long temperature records

Faranda, D (CEA/Saclay)
Tuesday 29 October 2013, 14:50-15:25

Seminar Room 1, Newton Institute


Co-author: Sandro Vaienti (University of Marseille)

By using new techniques originally developed for the analysis of extreme values of dynamical systems, several long records of temperatures at different locations are analysed by showing that they have the same recurrence time statistics of a chaotic dynamical system perturbed with dynamical noise and by instrument errors. The technique provides a criterion to discriminate whether the recurrence of a certain temperature belongs to the natural climate variability or can be considered as a real extreme event with respect to a specific time scale fixed as parameter. The method gives a self-consistent estimation of the convergence.


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