Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/121832
Title: Bayesian trend analysis for daily rainfall series of Barcelona
Author: Ortego Martínez, María Isabel
Gibergans Baguena, José
Tolosana-Delgado, R.
Egozcue Rubí, Juan José
Llasat Botija, María del Carmen
Keywords: Estadística bayesiana
Precipitacions (Meteorologia)
Barcelona (Catalunya)
Bayesian statistical decision
Precipitations (Meteorology)
Barcelona (Catalonia)
Issue Date: 2010
Publisher: European Geosciences Union (EGU)
Abstract: A Point-Over-Threshold approach using a reparameterization of the Generalized Pareto Distribution (GPD) has been used to assess changes in the daily rainfall Barcelona series (1854-2006). A Bayesian approach, considering the suitable scale and physical features of the phenomenon, has been used to look for these alterations. Two different models have been assessed: existence of abrupt changes in the new GPD parameters due to modifications of the observatory locations and trends in these GPD parameters, pointing to a climate change scenario.
Note: Reproducció del document publicat a: https://doi.org/10.5194/adgeo-26-71-2010
It is part of: Advances in Geosciences, 2010, vol. 26, p. 71-76
URI: http://hdl.handle.net/2445/121832
Related resource: https://doi.org/10.5194/adgeo-26-71-2010
ISSN: 1680-7340
Appears in Collections:Articles publicats en revistes (Física Aplicada)

Files in This Item:
File Description SizeFormat 
596968.pdf763.48 kBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons