A bivariate approach to estimating the probability of very extreme precipitation events

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dc.contributor.authorBen Alaya, Mohamed Ali
dc.contributor.authorZwiers, Francis W.
dc.contributor.authorZhang, Xuebin
dc.date.accessioned2020-12-04T22:52:48Z
dc.date.available2020-12-04T22:52:48Z
dc.date.copyright2020en_US
dc.date.issued2020
dc.description.abstractWe describe in this paper a semi-parametric bivariate extreme value approach for studying rare extreme precipitation events considered as events that result from a combination of extreme precipitable water (PW) in the atmospheric column above the location where the event occurred and extreme precipitation efficiency, described as the ratio between precipitation and PW. An application of this framework to historical 6-h precipitation accumulations simulated by the Canadian Regional Climate Model CanRCM4 shows that uncertainties and biases of very long-period return level estimates can be substantially reduced relative to the standard univariate approach that fits Generalized Extreme Value distributions to samples of annual maxima of extreme precipitation even when using modest amounts of data.en_US
dc.description.reviewstatusRevieweden_US
dc.description.scholarlevelFacultyen_US
dc.description.sponsorshipM.A. Ben Alaya was supported by the Climate Related Precipitation Extremes project of the Global Water Futures program.en_US
dc.identifier.citationAlaya, M. A. B., Zwiers, F. W., Zhang, X. (2020). A bivariate approach to estimating the probability of very extreme precipitation events. Weather and Climate Extremex, 30, 1-9. https://doi.org/10.1016/j.wace.2020.100290.en_US
dc.identifier.urihttps://doi.org/10.1016/j.wace.2020.100290
dc.identifier.urihttp://hdl.handle.net/1828/12435
dc.language.isoenen_US
dc.publisherWeather and Climate Extremesen_US
dc.subjectprecipitation extreme
dc.subjectprecipitable water
dc.subjectprecipitation efficiency
dc.subjectstatistical frequency analysis
dc.subjectextreme value theory
dc.subjectconditional approach to multivariate extreme values
dc.subjectPacific Climate Impacts Consortium (PCIC)
dc.subject.departmentDepartment of Geography
dc.titleA bivariate approach to estimating the probability of very extreme precipitation eventsen_US
dc.typeArticleen_US

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