Dynamical Analysis and Visualization of Tornadoes Time Series

• Tipo: Artigo em Revista Científica Internacional
• Data: 2015

Autores

António Mendes Lopes (Autor) FEUP; Machado, JAT (Autor) Outra

Revista

Título: PLoS ONE

Vol. 10

Página Final: e0120260

ISSN: 1932-6203

Editora: Public Library of Science

Indexação

ISI Web of Knowledge - 4 Citações

Scopus - 2 Citações

Outras Informações

ID Authenticus: P-00A-AJK

DOI: 10.1371/journal.pone.0120260

Abstract (EN): In this paper we analyze the behavior of tornado time-series in the U.S. from the perspective of dynamical systems. A tornado is a violently rotating column of air extending from a cumulonimbus cloud down to the ground. Such phenomena reveal features that are well described by power law functions and unveil characteristics found in systems with long range memory effects. Tornado time series are viewed as the output of a complex system and are interpreted as a manifestation of its dynamics. Tornadoes are modeled as sequences of Dirac impulses with amplitude proportional to the events size. First, a collection of time series involving 64 years is analyzed in the frequency domain by means of the Fourier transform. The amplitude spectra are approximated by power law functions and their parameters are read as an underlying signature of the system dynamics. Second, it is adopted the concept of circular time and the collective behavior of tornadoes analyzed. Clustering techniques are then adopted to identify and visualize the emerging patterns.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 20