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Título

The use of non-linearity techniques (correlation dimension) to analyze western Mediterranean rainfall time series

Autor Pérez, M.C.; Pascual, Juan Antonio ; Andreu Pérez, V.
Fecha de publicación may-2010
EditorEuropean Geosciences Union
Citación European Geosciences Union General Assembly (2010)
ResumenThe Mediterranean climate patterns are characterized by the great rain variability between years combined whit recurrent drought periods and highly intense rain events. These last becomes critical in this area because incise, usually, immediately after the summer dry period, when the vegetation cover is less capable to protect the soil against rainfall aggressiveness and the wildfire period is finishing. These circumstances favor the intensification of erosion processes and the incidence of landslides, floods, etc. Within the scope of the Valencia Community (Western Mediterranean Region), rain displays a high variability as a result of the Mediterranean Sea influence and certain local factors, which favor that great part of the precipitations, take place at micro-scale level, assuming a random behavior of precipitations. In order to have a better knowledge on rain dynamics and to detect the possible differences caused by the regionalization, four temporal series (40 years) have been selected pertaining to c1imate stations (Castellón, Valencia, Sueca and Alicante) located in the coastal zone of the study area (Valencia Community, Spain). They are characterized by three concrete climatic regions, and are analyzed under the deterministic chaos perspective. A non-linear technique, correlation dimension, is used to carry out this analysis. This technique allows calculating the necessary variables to explain the rain behavior and to establish suitable models that assume their complexity. The results suggest a possible chaotic behavior in the four series analyzed, obtaining a great variability in the zones of Sueca and Castellón. Statistically, the comparison of the results with the coefficient of variation shows coincidences in almost all the series considered. The only exception was the station of Sueca, where an inverse relation is obtained. Similarly, from a geographic perspective, the obtained results are related favorably to the particular characteristics of each station, according to their c1imatÍc typology. For that reason, the differences obtained in Sueca could remark the importance of the influence of certain specific local factors due to its location.
Descripción Poster presentado en la European Geosciences Union General Assembly celebrada en Viena del 2 al 7 de mayo de 2010
URI http://hdl.handle.net/10261/94896
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