Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/22277
COMPARTIR / EXPORTAR:
logo share SHARE logo core CORE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE

Invitar a revisión por pares abierta
Título

Mapping the Hazard of Extreme Rainfall by Peaks over Threshold Extreme Value Analysis and Spatial Regression Techniques

AutorBeguería, Santiago CSIC ORCID
Fecha de publicaciónene-2006
EditorAmerican Meteorological Society
CitaciónJournal of Applied Meteorology and Climatology 45 (1): 108-124
ResumenThe occurrence of rainfalls of high magnitude constitutes a primary natural hazard in many parts of the world, and the elaboration of maps showing the hazard of extreme rainfalls has great theoretical and practical interest. In this work a procedure based on extreme value analysis and spatial interpolation techniques is described. The result is a probability model in which the distribution parameters vary smoothly in space. This methodology is applied to the middle Ebro Valley (Spain), a climatically complex area with great contrasts because of the relief and exposure to different air masses. The database consists of 43 daily precipitation series from 1950 to 2000. Because rainfall tends to occur highly clustered in time in the area, a declustering process was applied to the data, and the series of daily cluster maxima were used hereinafter. The mean excess plot and error minimizing were used to find an optimum threshold value to retain the highest records (peaks-over-threshold approach), and a Poisson–generalized Pareto model was fitted to the resulting series. The at-site parameter estimates (location, scale, and shape) were regressed upon a set of location and relief variables, enabling the construction of a spatially explicit probability model. The advantages of this method to obtain maps of extreme precipitation hazard are discussed in depth.
Descripción55 Pag., 6 Tabl., 10 Fig. The definitive version is available at: http://www.ametsoc.org/
Versión del editorhttp://dx.doi.org/10.1175/JAM2324.1
URIhttp://hdl.handle.net/10261/22277
DOI10.1175/JAM2324.1
ISSN1558-8424
Aparece en las colecciones: (IPE) Artículos
(EEAD) Artículos




Ficheros en este ítem:
Fichero Descripción Tamaño Formato
BegueriaS_JAmMeteorolClim_2006.pdf1,32 MBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo

CORE Recommender

SCOPUSTM   
Citations

93
checked on 29-mar-2024

WEB OF SCIENCETM
Citations

89
checked on 28-feb-2024

Page view(s)

391
checked on 29-mar-2024

Download(s)

442
checked on 29-mar-2024

Google ScholarTM

Check

Altmetric

Altmetric


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.