Open AccessEXTREME METEO-OCEANIC EVENTS
Author(s) -
Franck Mazas,
Luc Hamm
Publication year - 2018
Publication title -
proceedings of conference on coastal engineering/proceedings of ... conference on coastal engineering
Language(s) - English
Resource type - Journals
eISSN - 2156-1028
pISSN - 0589-087X
DOI - 10.9753/icce.v36.papers.42
Subject(s) - univariate , multivariate statistics , event (particle physics) , sampling (signal processing) , identification (biology) , computer science , field (mathematics) , multivariate analysis , return period , statistics , econometrics , mathematics , data mining , geography , ecology , physics , archaeology , flood myth , filter (signal processing) , quantum mechanics , pure mathematics , computer vision , biology
The two-step framework for over-threshold modelling of environmental extremes proposed in Bernardara et al. (2014) for univariate analyses is generalized to an event-based framework applicable to multivariate analyses. The distinction between sequential values (temporal observations at a given time step) and the event-describing values (such as storm peaks in univariate POT extrapolations) is further detailed and justified. The classification of multivariate analyses introduced in Mazas and Hamm (2017) is refined and linked to the meaning of the concepts of event, sampling and return period that is thoroughly examined; their entanglement being highlighted. In particular, sampling is shown to be equivalent to event definition, identification and description. Event and return period definition are also discussed with respect to the source phenomena or to response (or structure) phenomena. The extreme event approach is thus proposed as a comprehensive framework for univariate and multivariate analyses for assessing natural hazards, seemingly applicable to any field of environmental studies.