Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Marc Andreewsky"'
Autor:
Marc Andreewsky
Publikováno v:
Extreme Value Theory with Applications to Natural Hazards ISBN: 9783030749415
In this chapter, we present a second example of statistical estimation of extreme quantiles: millennial quantiles for storm surges at Brest (France), based on hourly sea-level measurements. We run sensitivity tests on parameter values, on the choice
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a359daac9330ce8734d9476186338ff6
https://doi.org/10.1007/978-3-030-74942-2_14
https://doi.org/10.1007/978-3-030-74942-2_14
Publikováno v:
Extreme Value Theory with Applications to Natural Hazards ISBN: 9783030749415
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::030a5c0717264ca6ee1f54cba27ed34d
https://doi.org/10.1007/978-3-030-74942-2_12
https://doi.org/10.1007/978-3-030-74942-2_12
Autor:
Jérôme Weiss, Marc Andreewsky
Publikováno v:
Extreme Value Theory with Applications to Natural Hazards ISBN: 9783030749415
This chapter focuses on the occurrence of extreme natural hazards in non-instrumented locations, whose neighborhood contains sites for which measured data are available. The spatial regionalization approach developed here, which is based on the detec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb482f37329e8157da10cde22a6a6d1f
https://doi.org/10.1007/978-3-030-74942-2_7
https://doi.org/10.1007/978-3-030-74942-2_7
Autor:
Marc Andreewsky, Nicolas Bousquet
Publikováno v:
Extreme Value Theory with Applications to Natural Hazards ISBN: 9783030749415
This chapter focuses on the first steps of a statistical study of extreme values based on real hazard data. Illustrated by numerous examples, the qualitative and quantitative characteristics of these data are analyzed in order to come as close as pos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70180aef715803d93254dd39b61b1717
https://doi.org/10.1007/978-3-030-74942-2_5
https://doi.org/10.1007/978-3-030-74942-2_5
The design of effective coastal protections requires an adequate estimation of the annual probability of occurrence of rare events associated to a return period up to 103 years. The characterisation of extreme events is carried out by statistical met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4464a8842d3dde76203ff876bcd13dc
https://doi.org/10.5194/nhess-2017-385
https://doi.org/10.5194/nhess-2017-385
Homogenous regions based on extremogram for regional frequency analysis of extreme skew storm surges
To resist marine submersion, coastal protection must be designed by taking into account the most accurate estimate of the return levels of extreme events, such as storm surges. However, because of the paucity of data, local statistical analyses often
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99bfda377b397210ea15058bcc4a3561
https://doi.org/10.5194/nhess-2016-378
https://doi.org/10.5194/nhess-2016-378
Autor:
Pierre Gaufres, Pietro Bernardara, Marc Andreewsky, Xavier Kergadallan, Michel Benoit, Céline Trmal
Publikováno v:
La Houille Blanche-Revue internationale de l'eau
La Houille Blanche-Revue internationale de l'eau, EDP Sciences, 2014, pp.26-36. ⟨10.1051/lhb/2014035⟩
La Houille Blanche-Revue internationale de l'eau, EDP Sciences, 2014, pp.26-36. ⟨10.1051/lhb/2014035⟩
L'estimation des probabilites d'occurrences des niveaux marins extremes est un enjeu majeur pour les etudes sur les risques de submersion du littoral. Les periodes de retour des niveaux extremes sont estimees ici pour deux sites : un de forte amplitu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3699c9ec197feeb2262b7af039e58455
https://hal-enpc.archives-ouvertes.fr/hal-01763299
https://hal-enpc.archives-ouvertes.fr/hal-01763299
Publikováno v:
Ocean Modelling
Ocean Modelling, Elsevier, 2012, 47, pp.41-54. ⟨10.1016/j.ocemod.2012.01.005⟩
Ocean Modelling, Elsevier, 2012, 47, pp.41-54. ⟨10.1016/j.ocemod.2012.01.005⟩
Autoregressive (AR) models have been widely used in several geophysical applications, as they represent a simple and practical option for modeling stochastic series. In this paper, we show that AR models can be adapted and are useful for the descript
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::974194b3c7fff579307882d2fb70369b
https://hal-enpc.archives-ouvertes.fr/hal-00798111
https://hal-enpc.archives-ouvertes.fr/hal-00798111
Publikováno v:
Journal of Geophysical Research. 116
Traditionally, extreme value theory is applied to single-site series of surge observations in order to estimate the probability of occurrence of extreme events at that particular site. However, single-site analyses give uncertain estimation of extrem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1055e2a72635ab9accf700267d5d9e1f
https://doi.org/10.1029/2010jc006229
https://doi.org/10.1029/2010jc006229
Autor:
Luc Hamm, Jérôme Weiss, Xavier Kergadallan, Marc Andreewsky, Michel Benoit, Franck Mazas, Pietro Bernardara
Publikováno v:
Scopus-Elsevier
In the general framework of over-threshold modelling (OTM) for estimating extreme values of met-ocean variables, such as waves, surges or water levels, the threshold selection logically requires two steps: the physical declustering of time series of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71fc5ca7e41301c33dce8eb714fc7a39
https://doi.org/10.9753/icce.v33.management.42
https://doi.org/10.9753/icce.v33.management.42