A 32-years wave re-analysis has been employed in order to develop an extreme value analysis for the whole Ligurian Sea (North Tyrrhenian Sea). Wave hindcast data have been obtained through numerical modelling implemented at DICCA, University of Genoa, covering the whole Mediterranean Sea. Model outputs for wave characteristics (wave height, period and direction of propagation) have been extracted on 30 virtual buoys displaced in the area covering the whole temporal domain (32-years) at hourly frequency in order to develop an exhaustive wave climate analysis. A non stationary model is presented and applied in wave climate assessment with the purpose of taking account for the effects of seasonality in providing return level estimates. Time-varying model employed proved to be versatile in modelling different wave fields largely diversified in such kind of area and wave hincast data apply well in order to perform waves statistical downscaling.

SUB-MESOSCALE WAVE HEIGHT RETURN LEVELS ON THE BASIS OF HINDCAST DATA: THE NORTH TYRRHENIAN SEA

SARTINI, LUDOVICA;MENTASCHI, LORENZO;BESIO, GIOVANNI
2014-01-01

Abstract

A 32-years wave re-analysis has been employed in order to develop an extreme value analysis for the whole Ligurian Sea (North Tyrrhenian Sea). Wave hindcast data have been obtained through numerical modelling implemented at DICCA, University of Genoa, covering the whole Mediterranean Sea. Model outputs for wave characteristics (wave height, period and direction of propagation) have been extracted on 30 virtual buoys displaced in the area covering the whole temporal domain (32-years) at hourly frequency in order to develop an exhaustive wave climate analysis. A non stationary model is presented and applied in wave climate assessment with the purpose of taking account for the effects of seasonality in providing return level estimates. Time-varying model employed proved to be versatile in modelling different wave fields largely diversified in such kind of area and wave hincast data apply well in order to perform waves statistical downscaling.
2014
9780989661126
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/771013
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 6
  • ???jsp.display-item.citation.isi??? ND
social impact