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<datestamp>2018-01-11</datestamp>
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<publisher>HAL CCSD</publisher>
<title lang=en>Statistical analysis of the wind speed at the top of la Soufrière Volcano</title>
<creator>Bernard, Didier</creator>
<creator>Tossa, Olivier</creator>
<creator>Emilion, Richard</creator>
<contributor>Laboratoire de Physique de l'Atmosphère Tropicale (LPAT) ; Université des Antilles et de la Guyane (UAG)</contributor>
<contributor>CEntre de REcherches en MAthématiques de la DEcision (CEREMADE) ; Université Paris-Dauphine - Centre National de la Recherche Scientifique (CNRS)</contributor>
<contributor>Mathématiques - Analyse, Probabilités, Modélisation - Orléans (MAPMO) ; Université d'Orléans (UO) - Centre National de la Recherche Scientifique (CNRS)</contributor>
<contributor>European Regional Developements Funds</contributor>
<description>20 pp</description>
<identifier>hal-00165572</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-00165572</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-00165572/document</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-00165572/file/Windsouf_v11.pdf</identifier>
<source>https://hal.archives-ouvertes.fr/hal-00165572</source>
<source>20 pp. 2007</source>
<language>en</language>
<subject lang=fr>Atmospheric parameters</subject>
<subject lang=fr>La soufrière</subject>
<subject lang=fr>multiplicative cascades</subject>
<subject>[PHYS.PHYS.PHYS-DATA-AN] Physics [physics]/Physics [physics]/Data Analysis, Statistics and Probability [physics.data-an]</subject>
<subject>[SDU.OCEAN] Sciences of the Universe [physics]/Ocean, Atmosphere</subject>
<type>info:eu-repo/semantics/preprint</type>
<type>Preprints, Working Papers, ...</type>
<description lang=en>We first analyze some atmospheric parameters measured in 2004 at the top of La Soufrière volcano: wind speed, pressure and temperature. Next, we study the stochastic process of the wind speed modulus which is of interest for prediction of pollution induced by the plume. We fit to the data various models : FARIMA, periodic trend plus multifractional Brownian noise, multifractal continuous cascades. The estimations show that they evoluate during some transition phases in response to environment changes. Thus, we finally suggest, for future works, some settings that should be more appropriate: time series with regime changes and stochastic processes in random environment.</description>
<date>2007-07-30</date>
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