An update on multivariate return periods in hydrology
- 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. Moreover, we preliminary investigate the ability of the multivariate return period definitions to select maximal events from a time series. Starting from a rich simulated data set, we show how similar the selection of events from a data set is. It can be deduced from the study and theoretically underpinned that the strength of correlation in the sample influences the differences between the selection of maximal events.
| Author: | Benedikt GrälerORCiDGND, Andrea PetroselliGND, Salvatore GrimaldiORCiDGND, Bernard De BaetsGND, Niko VerhoestORCiDGND |
|---|---|
| URN: | urn:nbn:de:hbz:294-66322 |
| DOI: | https://doi.org/10.5194/piahs-373-175-2016 |
| Parent Title (English): | Proceedings of the International Association of Hydrological Sciences (PIAHS) |
| Publisher: | Copernicus Publications |
| Place of publication: | Göttingen |
| Document Type: | Article |
| Language: | English |
| Date of Publication (online): | 2019/10/17 |
| Date of first Publication: | 2016/05/12 |
| Publishing Institution: | Ruhr-Universität Bochum, Universitätsbibliothek |
| Volume: | 373 |
| First Page: | 175 |
| Last Page: | 178 |
| Institutes/Facilities: | Lehrstuhl für Hydrologie, Wasserwirtschaft und Umwelttechnik |
| open_access (DINI-Set): | open_access |
| faculties: | Fakultät für Bau- und Umweltingenieurwissenschaften |
| Licence (English): |  Creative Commons - CC BY 3.0 Unported - Attribution 3.0 Unported |
