[Aronica, G.T., Candela, A., Fabio, P., Santoro, M., 2012. Estimation of flood inundation probabilities using global hazard indexes based on hydrodynamic variables. Phys. Chem. Earth, 42–44, 119–129.10.1016/j.pce.2011.04.001]Search in Google Scholar
[Bacigál, T., 2013. Modelling dependence with multivariate Archimax (or any user-defined continuous) copulas. Package ‘acopula’, R package – CRAN.10.1007/978-3-642-39165-1_11]Search in Google Scholar
[Bacigál, T., Mesiar, R., 2012. 3-dimensional Archimax copulas and their fitting to real data. In: Proc. 20th International conference on computational statistics COMPSTAT 2012. The International Statistical Institute, The Hague, The Netherlands, pp. 81–88.]Search in Google Scholar
[Bačová-Mitková, V., 2002. The relationship between volume of the flood wave and the time duration of flood events. Acta Hydrologica Slovaca, 13, 1, 165–174.]Search in Google Scholar
[Bačová-Mitková, V., 2011. Different approaches to the flood volumes estimation on the Bodrog River example. Acta Hydrologica Slovaca, 12, 2, 296–303. ISSN 1335-6291 (In Slovak.)]Search in Google Scholar
[Bačová-Mitková, V., Halmová, D., 2014. Joint modeling of flood peak discharges, volume and duration: a case study of the Danube River in Bratislava. Journal of Hydrology and Hydromechanics, 62, 3, 186–196. doi: 10.2478/johh-2014-0026.10.2478/johh-2014-0026]Search in Google Scholar
[Balistrocchi, M., Baldassarre, B., 2011. Modelling the statistical dependance of rainfall event variables through copula functions. Hydrol. Earth Syst. Sci., 15, 6, 1959–1977.10.5194/hess-15-1959-2011]Search in Google Scholar
[Bezak, N., Šraj, M., Mikoš, M., 2016. Copula-based IDF curves and empirical rainfall thresholds for flash floods and rainfall-induced landslides. Journal of Hydrology. doi:10.1016/j.jhydrol.2016.02.058.10.1016/j.jhydrol.2016.02.058]Search in Google Scholar
[Cunnane, C., 1988. Methods and merits of regional flood frequency analysis. J. Hydrol., 100, 269–290.10.1016/0022-1694(88)90188-6]Search in Google Scholar
[Cunnane, C., 1989. Statistical distributions for flood frequency analysis. Operational Hyd. Rep. 33. World Meteorological Organization, Geneva, Switzerland.]Search in Google Scholar
[Dawdy, D., Griffis, V., Gupta, V., 2012. Regional Flood-Frequency Analysis: How We Got Here and Where We Are Going. J. Hydrol. Eng., 17, 9, 953–959. doi: 10.1061/(ASCE)HE.1943-5584.0000584.10.1061/(ASCE)HE.1943-5584.0000584]Search in Google Scholar
[De Michele, C., Salvadori, G., 2003. A generalized Pareto intensity-duration model of storm rainfall exploiting 2.- Copulas. J Geophys Res., 108, D2, 4067.10.1029/2002JD002534]Search in Google Scholar
[De Michele, C., Salvadori, G., Canossi, M., Petaccia, A., Rosso, R., 2005. Bivariate statistical approach to check adequacy of dam spillway. J. Hydrol. Eng., 10, 1, 50–57.10.1061/(ASCE)1084-0699(2005)10:1(50)]Search in Google Scholar
[Dupuis, D.J., 2007. Using copulas in hydrology; benefits, cautions and issues. J. Hydrol. Eng., 12, 381–393.10.1061/(ASCE)1084-0699(2007)12:4(381)]Search in Google Scholar
[Favre, A.C., El Adlouni, S., Perreault, L., Thiémonge, N., a Bobeé, B., 2004. Multivariate hydrological frequency analysis using copulas. Water. Resour. Res., 40, W01101.10.1029/2003WR002456]Search in Google Scholar
[Gaál, L., Szolgay, J., Kohnova, S., Hlavcova, K., Parajka, J., Viglione, A., Merz, R., Bloschl, G., 2015. Dependence between flood peaks and volumes: a case study on climate and hydrological controls. Hydrological Sciences Journal, 60, 6, 968–984. doi: 10.1080/02626667.2014.951361.10.1080/02626667.2014.951361]Search in Google Scholar
[Gaál, L., Viglione, A., Szolgay, J., Blöschl, G., Bacigál, T., Rogger, M., 2010. Bivariate at-site frequency analysis of simulated flood peak-volume data using copulas. In: CD Rom – EGU General Assembly; Vienna, EGU2010-13441.]Search in Google Scholar
[Genest, C., Favre, A.C., 2007. Everything you always wanted to know about copula modeling but were afraid to ask. J. Hydrol. Eng. ASCE, 12, 4, 347–368.10.1061/(ASCE)1084-0699(2007)12:4(347)]Search in Google Scholar
[Genest, C., Nešlehová, J., Quessy, J.F., 2012. Tests of symmetry for bivariate copulas. Annals of the Institute of Statistical Mathematics, 64, 4, 811–834.10.1007/s10463-011-0337-6]Search in Google Scholar
[Genest, C., Rémillard, B., Beaudoin, D., 2009. Goodness-of-fit tests for copulas: A review and a power study. Insurance: Math. and Economics, 44, 2, 199–213.10.1016/j.insmatheco.2007.10.005]Search in Google Scholar
[Giustarini, L., Camici, S., Tarpanelli, A., Brocca, L., Melone, F., Moramarco, T., 2010. Dam spillways adequacy evaluation through bivariate flood frequency analysis and hydrological continuous simulation. In: Proc. World Environmental and Water Resources Congress 2010. American Society of Civil Engineers (ASCE), Reston, Virginia, USA, pp. 2328–2339.10.1061/41114(371)241]Search in Google Scholar
[Goel, N.K., Seth, S.M., Chandra, S., 1998. Multivariate modeling of flood flows. ASCE, J. Hydraul. Eng., 124, 146–155.10.1061/(ASCE)0733-9429(1998)124:2(146)]Search in Google Scholar
[Groupe de recherche en hydrologie statistique (GREHYS), 1996. Presentation and review of some methods for regional flood frequency analysis. J. Hydrol., 186, 63–84.10.1016/S0022-1694(96)03042-9]Search in Google Scholar
[Gudendorf, G., Segers, J., 2010. Extreme-value copulas. In: Jaworski, P., Durante, F., Härdle, W.K., Rychlik, T. (Eds.): Copula Theory and its Applications. Springer, Berlin Heidelberg, pp. 127–145.10.1007/978-3-642-12465-5_6]Search in Google Scholar
[Chowdhary, H., Escobar, L.A., Singh, V.P., 2011. Identification of suitable copulas for bivariate frequency analysis of flood peak and flood volume data. Hydrology Research, 42, 2–3, 193–216. doi:10.2166/nh.2011.065.10.2166/nh.2011.065]Search in Google Scholar
[ICPDR, 2009. http://www.icpdr.org/main/activities-projects/danube-river-basin-management-plan-2009]Search in Google Scholar
[Kendall, M.G., 1955. Rank Correlation Methods. Hafner Publishing Co., New York.]Search in Google Scholar
[Laio, F., Ganora, D., Claps, P., Galeati, G., 2011. Spatially smooth regional estimation of the flood frequency curve (with uncertainty). J. Hydrol., 408, 67–77. doi:10.1016/j.jhydrol.2011.07.022.10.1016/j.jhydrol.2011.07.022]Search in Google Scholar
[Ljung, G.M., Box, G.E.P., 1978. On a measure of lack of fit in time series models. Biometrika, 65, 297–303.10.1093/biomet/65.2.297]Search in Google Scholar
[Mann, H. B., 1945. Nonparametric tests against trend. Econometrica: Journal of the Econometric Society, 13, 3, 245–259.10.2307/1907187]Search in Google Scholar
[Mediero, L, Jimenez-Alvarez, A., Garrote, L., 2010. Design flood hydrographs from the relationship between flood peak and volume. Hydrol. Earth Syst. Sci., 14, 2495–2505.10.5194/hess-14-2495-2010]Search in Google Scholar
[Mediero, L., Kjeldsen, T., 2014. Regional flood hydrology in a semi-arid catchment using a GLS regression model. J. Hydrol., 514, 158–171. doi:10.1016/j.jhydrol.2014.04.007.10.1016/j.jhydrol.2014.04.007]Search in Google Scholar
[Nelsen, R.B., 2006. An introduction to copulas. Lecture notes in statistics. 2nd ed., Springer, New York.]Search in Google Scholar
[Pekárová, P., Halmová, D., Bačová Mitková, V., Miklánek, P., Pekár, J., Škoda, P., 2013. Historic flood marks and flood frequency analysis of the Danube River at Bratislava, Slovakia. J. Hydrol. Hydromech., 61, 4, 326–333.10.2478/johh-2013-0041]Search in Google Scholar
[Pekárová, P., Onderka, M., Pekár, J., Miklanek, P., Halmová, D., Škoda, P., Bačová Mitková, V., 2008. Hydrologic scenarios for the Danube River at Bratislava. Key Publishing, Ostrava, 160 p., http://www.ih.savba.sk/danubeflood.]Search in Google Scholar
[R Core Team, 2014. R: A language and environment for statistical computing. R Foundation for Statistical Computing. Vienna, Austria. URL: http://www.R-project.org.]Search in Google Scholar
[Reddy, M.J., Ganguli, P., 2012. Bivariate flood frequency analysis of Upper Godavari River flows using Archimedean copulas. Water Resour. Manag., 26, 3995–4018. doi:10.1007/s11269-012-0124-z.10.1007/s11269-012-0124-z]Search in Google Scholar
[Salvadori, G., De Michele, C., 2004. Frequency analysis via copulas: theoretical aspects and applications to hydrological events. Water Resour. Res., 40, 12. doi: 10.1029/2004WR003133.10.1029/2004WR003133]Search in Google Scholar
[Salvadori, G., De Michele, C., 2010. Multivariate multiparameter extreme value models and return periods: A copula approach. Water Resour. Res., 46, 10. doi: 10.1029/2009WR009040.10.1029/2009WR009040]Search in Google Scholar
[Shiau, J.T., Wang, H.Y., Tsai, C.T., 2006. Bivariate frequency analysis of floods using copulas. J. Am. Wat. Resour. Assoc., 42, 6, 1549–1564.10.1111/j.1752-1688.2006.tb06020.x]Search in Google Scholar
[Singh, K., Singh, V.J., 1991. Derivation of bivariate propability density functions with exponential marginals. Stoch. Hydrol. Hydraulics, 5, 1, 55–68.10.1007/BF01544178]Search in Google Scholar
[Sommerwerk, N., Baumgartner, C., Blösch, J., Hein, T., Ostojic, A., Paunovic, M., Schneider-Jacoby, M., Siber, R., Tockner, K., 2009. Chapter 3: Danube River basin. In: Tockner, K., Robinson, T.C., Uehlinger, U. (Eds.): Rivers of Europe. Academic Press, London, pp. 59–112.10.1016/B978-0-12-369449-2.00003-5]Search in Google Scholar
[Sraj, M., Bezak, N., Brilly, M., 2015. Bivariate flood frequency analysis using the copula function: a case study of the Litija station on the Sava River. Hydrol. Process., 29, 235–248.10.1002/hyp.10145]Search in Google Scholar
[Szolgay, J., Gaál, L., Bacigál, T., Kohnová, S., Hlavčová, K., Výleta, R., Blöschl, G., 2016. A regional look at the selection of a process-oriented model for flood peak/volume relationships. In: Proceedings of IAHS, 373, Copernicus Publications, Göttingen, Germany, pp. 61–69. doi: 10.5194/piahs-373-1-2016.10.5194/piahs-373-1-2016]Search in Google Scholar
[Szolgay, J., Gaál, L., Kohnová, S., Hlavčová, K., Výleta, R., Bacigál, T., Blöschl, G., 2015. A process-based analysis of the suitability of copula types for peak-volume flood relationships. In: Proc. IAHS, 370, Copernicus Publications, Göttingen, Germany, pp. 183–188. doi: 10.5194/piahs-370-183-2015.10.5194/piahs-370-183-2015]Search in Google Scholar
[Szolgay, J., Kohnová, S., Bacigál, T., Hlavčová, K., 2012. Proposed flood: joint probability analysis of maximum discharges and their pertaining volumes. Acta Hydrologica Slovaca, 13, 2, 297–305.]Search in Google Scholar
[Tawn, J.A, 1988. Extreme value theory: Models and estimation. Biometrika. 75, 397–415.10.1093/biomet/75.3.397]Search in Google Scholar
[Willems, P., 2009. A time series tool to support the multicriteria performance evaluation of rainfall-runoff models. Environmental Modelling and Software, 24, 311–321.10.1016/j.envsoft.2008.09.005]Search in Google Scholar
[Yue, S., Ouarda, T.B.M.J., Bobee, B., 2001. A review of bivariate Gamma distribution for hydrological application. J. Hydrol., 246, 1–4, 1–18.10.1016/S0022-1694(01)00374-2]Search in Google Scholar
[Zhang, L., Singh, V.P., 2006. Bivariate flood frequency analysis using the copula method. J. Hydrol. Eng., ASCE, 11, 2, 150–164.10.1061/(ASCE)1084-0699(2006)11:2(150)]Search in Google Scholar
[Zhang, L., Singh, V.P., 2007. Bivariate rainfall frequency distributions using Archimedean copulas. J. Hydrol., 332, 93–109.10.1016/j.jhydrol.2006.06.033]Search in Google Scholar