Articles | Volume 18, issue 7
https://doi.org/10.5194/nhess-18-1937-2018
https://doi.org/10.5194/nhess-18-1937-2018
Research article
 | 
12 Jul 2018
Research article |  | 12 Jul 2018

Estimations of statistical dependence as joint return period modulator of compound events – Part 1: Storm surge and wave height

Thomas I. Petroliagkis

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Cited articles

AMS (American Meteorological Society) Glossary: Prevailing Wind. Glossary of Meteorology, available at: http://glossary.ametsoc.org/wiki/Prevailing_wind_direction (last access: 12 May 2018), 2017.
Australian Rainfall & Runoff Project 18: Coastal Processes and Severe Weather Events: Discussion Paper, Water Technology report to Australia Rainfall & Runoff (2009) referring to the report of Department of Science, IT, Innovation and the Arts – Science Delivery (October 2012) “Coincident Flooding in Queensland: Joint probability and dependence methodologies”, available at: https://trove.nla.gov.au/work/180724742?q&versionId=196781622 (last access: 12 May 2018), 2009.
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Bevacqua, E., Maraun, D., Hobæk Haff, I., Widmann, M., and Vrac, M.: Multivariate statistical modelling of compound events via pair-copula constructions: analysis of floods in Ravenna (Italy), Hydrol. Earth Syst. Sci., 21, 2701–2723, https://doi.org/10.5194/hess-21-2701-2017, 2017.
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Short summary
Compound events – that is, two or more events occurring simultaneously – can lead to high impacts, even if the two single events are not extreme per se, i.e. only their combination. The possibility of utilizing statistical dependence methods in coastal flood hazard calculations is investigated. The statistical analysis between storm surge and wave height is performed over 32 river ending points along European coasts. The top 80 compound events are defined, and their low-level flow is analysed.
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