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Bayesian trend analysis of extreme wind using observed and hindcast series off the Catalan coast, NW Mediterranean Sea

Autor
Ortego, M.I.; Egozcue, J. J.; Tolosana-Delgado, R.
Tipus d'activitat
Article en revista
Revista
Natural hazards and earth system sciences
Data de publicació
2014-01-01
Volum
14
Número
9
Pàgina inicial
2387
Pàgina final
2397
DOI
https://doi.org/10.5194/nhess-14-2387-2014 Obrir en finestra nova
Projecte finançador
Corrientes, oleaje y viento: mejora del análisis de riesgos mediante asimilación en esquemas numéricos de la costa y su entorno
Métodos Estadísticos en Espacios Restringidos (Metrics)
URL
http://www.nat-hazards-earth-syst-sci.net/14/2387/2014/nhess-14-2387-2014.pdf Obrir en finestra nova
Resum
It has been suggested that climate change might modify the occurrence rate and magnitude of large ocean-wave and wind storms. The hypothesised reason is the increase of available energy in the atmosphere-ocean system. Forecasting models are commonly used to assess these effects, given that good-quality data series are often too short. However, forecasting systems are often tuned to reproduce the average behaviour, and there are concerns on their relevance for extremal regimes. We present a metho...
Paraules clau
EUROPE, MODEL, PRECIPITATION, RAINFALL, SPEED
Grup de recerca
LIM/UPC - Laboratori d'Enginyeria Marítima
NRG - Riscos Naturals i Geoestadística

Participants