2006
DOI: 10.1002/joc.1354
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Distributions of long dry spells in the iberian peninsula, years 1951–1990

Abstract: Statistical distributions of annual extreme and long dry spells for the Iberian Peninsula are investigated by using a daily database compiled from 43 rain gauges, with the recording period extending from 1951 to 1990 and with a minor lack of data. Dry spell lengths are derived for three different daily rainfall thresholds of 0.1, 1.0 and 5.0 mm/day. On one hand, the generalised extreme value (GEV) and generalised Pareto (GP) distributions are considered for modelling the series of annual extreme (AE) dry spell… Show more

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Cited by 67 publications
(56 citation statements)
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“…These data series are available at http://eca.knmi.nl. Some of the Spanish data come from the Agencia Estatal de Meteorología (Spanish Ministry of Environment) and similar homogeneity and quality controls were applied (Lana et al, 2006). Figure 1a depicts the spatial distribution of these rain gauges.…”
Section: Databasesmentioning
confidence: 99%
See 1 more Smart Citation
“…These data series are available at http://eca.knmi.nl. Some of the Spanish data come from the Agencia Estatal de Meteorología (Spanish Ministry of Environment) and similar homogeneity and quality controls were applied (Lana et al, 2006). Figure 1a depicts the spatial distribution of these rain gauges.…”
Section: Databasesmentioning
confidence: 99%
“…The main objective is to analyse spatial and temporal fractal patterns of the dry spell regime in Europe, which cannot be described by means of statistical tools, as those used, for instance, by Lana et al (2004Lana et al ( , 2006, Burgueño et al (2005), Martínez et al (2007b), who made use of statistical distributions, return periods and spectral analyses for studying the dry spell behaviour of NE Spain and the Iberian Peninsula.…”
Section: Introductionmentioning
confidence: 99%
“…These rain gauges were carefully chosen on account of their excellent recording continuity and they have recently been used in statistical modelling of dry spell distribution (Lana et al, 2006). When a minor lack of data is detected, dry spells including days with missing data are discarded for computations.…”
Section: Collection Of Datamentioning
confidence: 99%
“…The same precipitation total and number of dry days will have quite different effects when the dry days are homogenously distributed in time or concentrated in a few dry spells (Zolina et al 2013). Therefore, dry spells form a useful index being helpful for a better and more comprehensive understanding of droughts and has also been widely used all over the world (Cindric et al 2010;Deni and Jemain 2009;Deni et al 2010;Lana et al 2006;Lana et al 2008;Modarres 2010;Schmidli and Frei 2005;Vargas et al 2011). Several researches about dry spells have also been conducted over China (Gong et al 2005;Lei and Duan 2011).…”
Section: Introductionmentioning
confidence: 99%