Stochastic modeling of climatic variability in dendrochronology

Details Stochastic modeling of climatic variability in dendrochronology Stochastic modeling of climatic variability in dendrochronology

Aug 2004

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004georl..3115202l&link_type=abstract

Geophysical Research Letters, Volume 31, Issue 15, CiteID L15202

Physics

Geophysics

4

Global Change: Climate Dynamics (3309), Global Change: Atmosphere (0315, 0325), Global Change: General Or Miscellaneous, Mathematical Geophysics: Modeling

Scientific paper

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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