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Stochastic modeling of climatic variability in dendrochronology

  • Author(s): Lavallée, Daniel
  • Beltrami, Hugo
  • et al.
Abstract

Climatic variability can be characterized by invariant quantities arising from the analysis of scaling properties of paleoclimatic records. In this paper we discuss a stochastic model that reproduces the variability and the long-range correlation observed in dendrochronological time series. We have found that non-Gaussian distributions are better suited to describe the climatic variability embedded in these data. Our results indicate that Gaussian distribution fails to capture the large fluctuation -extreme events-that characterized climatic variability in these time series. This might have applications on the study of extreme weather events on future climate scenarios.

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