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On the consideration of scaling properties of extreme rainfall in Madrid (Spain) for developing a generalized intensity-duration-frequency equation and assessing probable maximum precipitation estimates

Authors :
Universitat Politècnica de Catalunya. Departament de Física
Casas Castillo, M. del Carmen
Rodríguez Solá, Raúl
Navarro Bosque, Javier
Russo, Beniamino
Lastra, Antonio
González, Paula
Redaño Xipell, Angel
Universitat Politècnica de Catalunya. Departament de Física
Casas Castillo, M. del Carmen
Rodríguez Solá, Raúl
Navarro Bosque, Javier
Russo, Beniamino
Lastra, Antonio
González, Paula
Redaño Xipell, Angel
Publication Year :
2016

Abstract

This is a copy of the author 's final draft version of an article published in the journal Theoretical and applied climatology. The final publication is available at Springer via http://dx.doi.org/10.1007/s00704-016-1998-0<br />The fractal behavior of extreme rainfall intensities registered between 1940 and 2012 by the Retiro Observatory of Madrid (Spain) has been examined, and a simple scaling regime ranging from 25 min to 3 days of duration has been identified. Thus, an intensity-duration-frequency (IDF) master equation of the location has been constructed in terms of the simple scaling formulation. The scaling behavior of probable maximum precipitation (PMP) for durations between 5 min and 24 h has also been verified. For the statistical estimation of the PMP, an envelope curve of the frequency factor (k m ) based on a total of 10,194 station-years of annual maximum rainfall from 258 stations in Spain has been developed. This curve could be useful to estimate suitable values of PMP at any point of the Iberian Peninsula from basic statistical parameters (mean and standard deviation) of its rainfall series.<br />Peer Reviewed<br />Postprint (author's final draft)

Details

Database :
OAIster
Notes :
east=-3.687589399999979; north=40.4084466; name=Observatorio Meteorológico, Madrid, Espanya, image/jpeg, application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.ocn964231273
Document Type :
Electronic Resource