English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/42691
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:

Title

Assessing trends in extreme precipitation events intensity and magnitude using non-stationary peaks-over-threshold analysis: a case study in northeast Spain from 1930 to 2006

AuthorsBeguería, Santiago ; Angulo-Martínez, Marta ; Vicente Serrano, Sergio M. ; El Kenawy, Ahmed M. ; López-Moreno, Juan I.
Keywordsextreme events
precipitation
time series analysis
climate variability
regional climate change
non-stationary extreme value analysis
Iberian Peninsula
Spain
Issue DateNov-2011
PublisherJohn Wiley & Sons
Royal Meteorological Society (Great Britain)
CitationBeguería S, Angulo-Martínez M, Vicente-Serrano SM, López-Moreno JI, El-Kenawy A. Assessing trends in extreme precipitation events intensity and magnitude using non-stationary peaks-over-threshold analysis: a case study in northeast Spain from 1930 to 2006. International Journal of Climatology 31 (14): 2102-2114 (2011)
AbstractMost applications of the extreme value (EV) theory have assumed stationarity, i.e. the statistical properties of the process do not change over time. However, there is evidence suggesting that the occurrence of extreme events is not stationary but changes naturally, as it has been found for many other climate variables. Of paramount importance for hazard analysis is whether the observed precipitation time series exhibit long-term trends or cycles; such information is also relevant in climate change studies. In this study, the theory of non-stationary extreme value (NSEV) analysis was applied to data series of daily precipitation using the peaks-over-threshold (POT) approach. A Poisson/generalized Pareto (P/GP) model, in which the model parameters were allowed to vary linearly with time, was fitted to the resulting series of precipitation event's intensity and magnitude. A log-likelihood ratio test was applied to determine the existence of trends in the model parameters. The method was applied to a case study in northeast Spain, comprising a set of 64 daily rainfall series from 1930 to 2006. Statistical significance was achieved in less than 5% of the stations using a linear non-stationary model at the annual scale, indicating that there is no evidence of a generalized trend in extreme precipitation in the study area. At the seasonal scale, however, a significant number of stations along the Mediterranean (Catalonia region) showed a significant decrease of extreme rainfall intensity in winter, while experiencing an increase in spring.
Description35 Pags., 1 Tabl., 9 Figs. The definitive version is available at: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1097-0088
Publisher version (URL)http://dx.doi.org/10.1002/joc.2218
URIhttp://hdl.handle.net/10261/42691
DOI10.1002/joc.2218
ISSN0899-8418
E-ISSN1097-0088
Appears in Collections:(EEAD) Artículos
(IPE) Artículos
Files in This Item:
File Description SizeFormat 
BegueriaS_JClimat_2011.pdf1,59 MBAdobe PDFThumbnail
View/Open
Show full item record
Review this work
 

Related articles:


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.