Articles | Volume 17, issue 8
Hydrol. Earth Syst. Sci., 17, 3023–3038, 2013
https://doi.org/10.5194/hess-17-3023-2013

Special issue: Statistical methods for hydrological applications

Hydrol. Earth Syst. Sci., 17, 3023–3038, 2013
https://doi.org/10.5194/hess-17-3023-2013
Research article
01 Aug 2013
Research article | 01 Aug 2013

A bivariate return period based on copulas for hydrologic dam design: accounting for reservoir routing in risk estimation

A. I. Requena et al.

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Cited articles

Abberger, K.: A simple graphical method to explore tail-dependence in stock-return pairs, Appl. Financ. Econom., 15, 43–51, 2005.
Blazkova, S. and Beven, K.: Flood frequency estimation by continuous simulation of subcatchment rainfalls and discharges with the aim of improving dam safety assessment in a large basin in the Czech Republic, J. Hydrol., 292, 153–172, 2004.
Calver, A. and Lamb, R.: Flood Frequency Estimation Using Continuous Rainfall-Runoff Modelling, Phys. Chem. Earth, 20, 479–483, 1995.
Cameron, D. S., Beven, K. J., Tawn, J., Blazkova, S., and Naden, P.: Flood frequency estimation by continuous simulation for a gauged upland catchment (with uncertainty), J. Hydrol., 219, 169–187, 1999.
Chebana, F. and Ouarda, T.: Multivariate quantiles in hydrological frequency analysis, Environmetrics, 22, 63–78, 2011.