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   <dc:title>Complex behaviour and predictability of the European dry spell regimes</dc:title>
   <dc:creator>Lana Pons, Francisco Javier</dc:creator>
   <dc:creator>Martínez Santafé, Maria Dolors</dc:creator>
   <dc:creator>Serra de Larrocha, Carina</dc:creator>
   <dc:creator>Burgueño, August</dc:creator>
   <dc:contributor>Universitat Politècnica de Catalunya. Departament de Física Aplicada</dc:contributor>
   <dc:contributor>Universitat Politècnica de Catalunya. Departament de Física i Enginyeria Nuclear</dc:contributor>
   <dc:contributor>Universitat Politècnica de Catalunya. GIES - Geofísica i Enginyeria Sísmica</dc:contributor>
   <dc:description>The complex spatial and temporal characteristics&#xd;
of European dry spell lengths, DSL, (sequences of consecutive&#xd;
days with rainfall amount below a certain threshold)&#xd;
and their randomness and predictive instability are analysed&#xd;
from daily pluviometric series recorded at 267 rain gauges&#xd;
along the second half of the 20th century. DSL are obtained&#xd;
by considering four thresholds, R0, of 0.1, 1.0, 5.0&#xd;
and 10.0 mm/day. A proper quantification of the complexity,&#xd;
randomness and predictive instability of the different DSL&#xd;
regimes in Europe is achieved on the basis of fractal analyses&#xd;
and dynamic system theory, including the reconstruction theorem.&#xd;
First, the concept of lacunarity is applied to the series&#xd;
of daily rainfall, and the lacunarity curves are well fitted to&#xd;
Cantor and random Cantor sets. Second, the rescaled analysis&#xd;
reveals that randomness, persistence and anti-persistence&#xd;
are present on the European DSL series. Third, the complexity&#xd;
of the physical process governing the DSL series is quantified&#xd;
by the minimum number of nonlinear equations determined&#xd;
by the correlation dimension. And fourth, the loss of&#xd;
memory of the physical process, which is one of the reasons&#xd;
for the complex predictability, is characterized by the values&#xd;
of the Kolmogorov entropy, and the predictive instability&#xd;
is directly associated with positive Lyapunov exponents. In&#xd;
this way, new bases for a better prediction of DSLs in Europe,&#xd;
sometimes leading to drought episodes, are established. Concretely,&#xd;
three predictive strategies are proposed in Sect. 5. It&#xd;
is worth mentioning that the spatial distribution of all fractal&#xd;
parameters does not solely depend on latitude and longitude&#xd;
but also reflects the effects of orography, continental climate&#xd;
or vicinity to the Atlantic and Arctic Oceans and Mediterranean&#xd;
Sea.</dc:description>
   <dc:description>Postprint (published version)</dc:description>
   <dc:date>2010-09</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>Lana, F. [et al.]. Complex behaviour and predictability of the European dry spell regimes. "Nonlinear processes in geophysics", Setembre 2010, vol. 17, núm. 5, p. 499-512.</dc:identifier>
   <dc:identifier>1607-7946</dc:identifier>
   <dc:identifier>https://hdl.handle.net/2117/9237</dc:identifier>
   <dc:identifier>10.5194/npg-17-499-2010</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:rights>http://creativecommons.org/licenses/by-nc-nd/3.0/es/</dc:rights>
   <dc:rights>Open Access</dc:rights>
   <dc:rights>Attribution-NonCommercial-NoDerivs 3.0 Spain</dc:rights>
   <dc:format>14 p.</dc:format>
   <dc:format>application/pdf</dc:format>
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