DSpace DSpace UPC
 Català   Castellano   English  

E-prints UPC >
Altres >
Enviament des de DRAC >

Empreu aquest identificador per citar o enllaçar aquest ítem: http://hdl.handle.net/2117/15527

Arxiu Descripció MidaFormat
IAMG2011-TOES.pdfArticle IAMG2011 TOES1,93 MBAdobe PDFThumbnail

Citació: Tolosana-Delgado, R. [et al.]. Checking model-data weather hazard occurrence fit in the context of climate change. A: Annual Conference of the International Association for Mathematical Geosciences. "Proceedings of the 2011 Annual Conference of the International Association for Mathematical Geosciences". Salzburg: 2011, p. 870-877.
Títol: Checking model-data weather hazard occurrence fit in the context of climate change
Autor: Tolosana Delgado, Raimon Veure Producció científica UPC; Ortego Martínez, María Isabel Veure Producció científica UPC; Egozcue Rubí, Juan José Veure Producció científica UPC; Sánchez-Arcilla Conejo, Agustín Veure Producció científica UPC
Data: 2011
Tipus de document: Conference report
Resum: In climate change impact studies it is common to run a given response model (from ecosystem changes to wavestorm or landslide occurrence) nested into one of the available long-term Global or Regional Circulation Models (GCM, RCM) reproducing the climate for the XX century or predicting it for the XXI. In this way, it is expected to capture the average behaviour of the studied system to a changing climate forcing: in other words, with such response forecasts, one does not actually expect to be able to reproduce each and every single event, but rather its statistical behaviour. Regarding weather-related hazard, the relevant statistical properties are the occurrence return period of events, and their expected magnitude. The present study focuses on wave storm occurrence, and aims at presenting a general methodology to check the adequate reproduction of the return period of hazardous weather-related events by such response forecast models. This is attained by analysing a compound data set formed by series of real data (typically of around 20-30 years in the last decades of the XX century or the beginning of the XXI one) and longer hind- or forecast series. Occurrence of a stormy event is considered to follow an inhomogeneous Poisson process, with: a linear trend to capture climate change, and a step in the junction real data-forecast data to capture systematic model biases. A Bayesian method is proposed to assess the influence of these two elements, i.e the presence/absence of a climate trend and the adequate reproduction of the statistical properties of wavestorm occurrence by forecasting models. Results suggest a non-significant trend albeit negative trend in the storm occurrence, and an inability of the used forecast model to reproduce wavestorm occurrence.
URI: http://hdl.handle.net/2117/15527
DOI: 10.5242/iamg.2011.0101
Versió de l'editor: http://www.cogeo.at/publications/iamg2011/IAMG2011_proceedings/mobile/index.html
Apareix a les col·leccions:Altres. Enviament des de DRAC
NRG - Riscos Naturals i Geoestadística. Ponències/Comunicacions de congressos
LIM/UPC - Laboratori d'Enginyeria Marítima. Ponències/Comunicacions de congressos
Departaments de Matemàtica Aplicada. Ponències/Comunicacions de congressos
EHMA - Departament d'Enginyeria Hidràulica, Marítima i Ambiental. Ponències/Comunicacions de congressos

Stats Mostra les estadístiques d'aquest ítem

SFX Query

Aquest ítem (excepte textos i imatges no creats per l'autor) està subjecte a una llicència de Creative Commons Llicència Creative Commons
Creative Commons


Valid XHTML 1.0! Programari DSpace Copyright © 2002-2004 MIT and Hewlett-Packard Comentaris
Universitat Politècnica de Catalunya. Servei de Biblioteques, Publicacions i Arxius