Show simple item record

dc.contributor.authorSerra de Larrocha, Carina
dc.contributor.authorMartínez Santafé, Maria Dolors
dc.contributor.authorLana Pons, Francisco Javier
dc.contributor.authorBurgueño, August
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Física i Enginyeria Nuclear
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Física Aplicada
dc.date.accessioned2014-07-21T10:09:32Z
dc.date.created2014-07-01
dc.date.issued2014-07-01
dc.identifier.citationSerra, C. [et al.]. European dry spell regimes (1951-2000): Clustering process and time trends. "Atmospheric research", 01 Juliol 2014, vol. 144, p. 151-174.
dc.identifier.issn0169-8095
dc.identifier.urihttp://hdl.handle.net/2117/23576
dc.description.abstractAiming to improve the knowledge of droughts in Europe, three indices related to dry spells, DS, regime have been analysed: the number of DS per year, N; the longest annual DS, L-max; and the mean DS length per year, L, for different daily rainfall thresholds (0.1, 1.0, 5.0 and 10.0 mm/day) at annual and seasonal scales. The database consists of daily records from 267 rain gauges, along the years 1951-2000. First, the mean values at annual and seasonal scales of these three indices are represented for the four thresholds. For 0.1 and 1.0 mm/day, spatial patterns suggest a strong N-S gradient for latitudes south of 45 degrees N, especially at annual scale and in summer season. For 5.0 and 10.0 mm/day, the patterns are different, with a strong gradient in the Scandinavian Peninsula and the largest L-max and L at NE Europe, except for summer. Second, a principal component analysis, PCA, is applied to the 60 variables (three indices at five time scales and four thresholds) characterising the DS regime of every gauge. A clustering process leads to a classification of the 267 rain gauges into 20 spatial clusters, on the basis of five selected principal components replacing the original variables. Most of clusters are spatially coherent, with greater spatial variability on DS regimes towards the south and west than to the north and east of Europe. And third, time trends on the three indices are quantified by the Kendall-tau algorithm, and statistical significances at 95% confidence level are assessed by the Mann-Kendall test. For all thresholds and seasons, there is a clear predominance of significant negative trends for N. Specifically, the highest number of rain gauges with significant negative trends corresponds to summer and winter, with average percentages from -2.7 to -8.1% per decade. In summer, significant negative trends are observed in Western Europe at 40 degrees-60 degrees N and between 10 degrees W and 20 degrees E. In annual and winter periods, negative trends are detected also at Western Europe for 0.1 and 1.0 mm/day and at latitudes south of 45 degrees N for the two highest thresholds. Spring, and especially autumn, are characterised by a low number of negative trends, particularly for 1.0, 5.0 and 10.0 mm/day. In summer, L-max depicts remarkable positive trends in Western Europe, at 40 degrees N-60 degrees N and between 0 degrees E and 20 degrees E, with high average values close to +10% per decade. Positive trends on L are dominant at annual scale and winter for 0.1 mm/day, and in summer for 0.1 and 1.0 mm/day, with average trends ranging from +4.8 to +8.1% per decade. Spring and autumn are characterised by numerous negative trends on L for all thresholds. (C) 2013 Elsevier BM. All rights reserved.
dc.format.extent24 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Desenvolupament humà i sostenible::Degradació ambiental::Canvi climàtic
dc.subjectÀrees temàtiques de la UPC::Desenvolupament humà i sostenible::Medi ambient
dc.subject.lcshPrecipitation (Meteorology)--Measurement
dc.subject.lcshClimatic changes--European
dc.subject.otherDrought
dc.subject.otherDry spells
dc.subject.otherTime trends
dc.subject.otherPrincipal component analysis
dc.subject.otherClimate change Europe
dc.titleEuropean dry spell regimes (1951-2000): Clustering process and time trends
dc.typeArticle
dc.subject.lemacPrecipitacions (Meteorologia)--Mesurament
dc.subject.lemacCanvis climàtics--Europa
dc.contributor.groupUniversitat Politècnica de Catalunya. GIES - Geofísica i Enginyeria Sísmica
dc.identifier.doi10.1016/j.atmosres.2013.05.022
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.atmosres.2013.05.022
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac14575309
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorSerra, C.; Martinez, M.D.; Lana, F.J.; Burgueño, A.
local.citation.publicationNameAtmospheric research
local.citation.volume144
local.citation.startingPage151
local.citation.endingPage174


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain