Articles | Volume 373
https://doi.org/10.5194/piahs-373-175-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/piahs-373-175-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
12 May 2016
An update on multivariate return periods in hydrology
Institute of Hydrology, Ruhr University Bochum, Bochum, Germany
Andrea Petroselli
Dipartimento di scienze agrarie e forestali (DAFNE Department),
University of Tuscia, Tuscia, Italy
Salvatore Grimaldi
Dipartimento per la innovazione nei sistemi biologici agroalimentari e forestali (DIBAF Department), University of Tuscia, Tuscia, Italy
Bernard De Baets
Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Ghent, Belgium
Niko Verhoest
Laboratory of Hydrology and Water Management, Ghent University, Ghent, Belgium
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Revised manuscript has not been submitted
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Cited articles
Gräler, B., van den Berg, M. J., Vandenberghe, S., Petroselli, A., Grimaldi, S., De Baets, B., and Verhoest, N. E. C.: Multivariate return periods in hydrology: a critical and practical review focusing on synthetic design hydrograph estimation, Hydrol. Earth Syst. Sci., 17, 1281–1296, https://doi.org/10.5194/hess-17-1281-2013, 2013.
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Short summary
Many hydrological studies are devoted to the identification of events that are expected to occur on average within a certain time span. While this topic is well established in the univariate case, recent advances focus on a multivariate characterization of events based on copulas. Following a previous study, we show how the definition of the survival Kendall return period fits into the set of multivariate return periods.
Many hydrological studies are devoted to the identification of events that are expected to occur...
