Calvani, G., Perona, P., Zen, S., Bau', V., and Solari, L.: Return period of vegetation uprooting by flow, J. Hydrol., 578, 124103,
https://doi.org/10.1016/j.jhydrol.2019.124103, 2019.
a
Cheng, L., AghaKouchak, A., Gilleland, E., and Katz, R. W.: Non-stationary extreme value analysis in a changing climate, Climatic Change, 127, 353–369,
https://doi.org/10.1007/s10584-014-1254-5, 2014.
a,
b
Douglas, E., Vogel, R., and Kroll, C.: Trends in floods and low flows in the United States: impact of spatial correlation, J. Hydrol., 240, 90–105,
https://doi.org/10.1016/s0022-1694(00)00336-x, 2000.
a
El Adlouni, S., Ouarda, T. B., Zhang, X., Roy, R., and Bobée, B.: Generalized maximum likelihood estimators for the nonstationary generalized extreme value model, Water Resour. Res., 43,
https://doi.org/10.1029/2005wr004545, 2007.
a
Galiatsatou, P., Makris, C., Prinos, P., and Kokkinos, D.: Nonstationary joint probability analysis of extreme marine variables to assess design water levels at the shoreline in a changing climate, Nat. Hazards, 98, 1051–1089,
https://doi.org/10.1007/s11069-019-03645-w, 2019.
a
Katz, R. W.: Statistical methods for nonstationary extremes, in: Extremes in a changing climate: Detection, analysis and uncertainty, Springer, pp. 15–37,
https://doi.org/10.1007/978-94-007-4479-0_2, 2013.
a,
b,
c,
d,
e,
f
Katz, R. W., Parlange, M. B., and Naveau, P.: Statistics of extremes in hydrology, Adv. Water Resour., 25, 1287–1304,
https://doi.org/10.1016/s0309-1708(02)00056-8, 2002.
a
Laio, F., Porporato, A., Ridolfi, L., and Rodriguez-Iturbe, I.: Mean first passage times of processes driven by white shot noise, Phys. Rev. E, 63, 036105,
https://doi.org/10.1103/physreve.63.036105, 2001.
a
Lee, H., Calvin, K., Dasgupta, D., Krinner, G., Mukherji, A., Thorne, P., Trisos, C., Romero, J., Aldunce, P., Barret, K., Blanco, G., Cheung, W. W. L., Connors, S. L., Denton, F., Diongue-Niang, A., Dodman, D., Garschagen, M., Geden, O., Hayward, B., Jones, C., Jotzo, F., Krug, T., Lasco, R., Lee, Y.-Y., Masson-Delmotte, V., Meinshausen, M., Mintenbeck, K., Mokssit, A., Otto, F. E. L., Pathak, M., Pirani, A., Poloczanska, E., Pörtner, H.-O., Revi, A., Roberts, D. C., Roy, J., Ruane, A. C., Skea, J., Shukla, P. R., Slade, R., Slangen, A., Sokona, Y., Sörensson, A. A., Tignor, M., van Vuuren, D., Wei, Y.-M., Winkler, H., Zhai, P., Zommers, Z., Hourcade, J.-C., Johnson, F. X., Pachauri, S., Simpson, N. P., Singh, C., Thomas, A., Totin, E., Arias, P., Bustamante, M., Elgizouli, I., Flato, G., Howden, M., Méndez-Vallejo, C., Pereira, J. J., Pichs-Madruga, R., Rose, S. K., Saheb, Y., Sánchez Rodríguez, R., Ürge-Vorsatz, D., Xiao, C., Yassaa, N., Alegría, A., Armour, K., Bednar-Friedl, B., Blok, K., Cissé, G., Dentener, F., Eriksen, S., Fischer, E., Garner, G., Guivarch, C., Haasnoot, M., Hansen, G., Hauser, M., Hawkins, E., Hermans, T., Kopp, R., Leprince-Ringuet, N., Lewis, J., Ley, D., Ludden, C., Niamir, L., Nicholls, Z., Some, S., Szopa, S., Trewin, B., van der Wijst, K.-I., Winter, G., Witting, M., Birt, A., Ha, M., Romero, J., Kim, J., Haites, E. F., Jung, Y., Stavins, R., Birt, A., Ha, M., Orendain, D. J. A., Ignon, L., Park, S., and Park, Y.: IPCC, 2023: Climate Change 2023: Synthesis Report, Summary for Policymakers. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. [Core Writing Team, Lee, H. and Romero, J. (eds.)], Technical Report 10.59327/IPCC/AR6-9789291691647.001, Intergovernmental Panel on Climate Change (IPCC), Geneva, Switzerland,
https://doi.org/10.59327/ipcc/ar6-9789291691647.001, 2023.
a
Milly, P. C., Betancourt, J., Falkenmark, M., Hirsch, R. M., Kundzewicz, Z. W., Lettenmaier, D. P., and Stouffer, R. J.: Stationarity is dead: Whither water management?, Science, 319, 573–574,
https://doi.org/10.1126/science.1151915, 2008.
a
New, M., Todd, M., Hulme, M., and Jones, P.: Precipitation measurements and trends in the twentieth century, Int. J. Climatol., 21, 1889–1922,
https://doi.org/10.1002/joc.680.abs, 2001.
a
Perona, P., Porporato, A., and Ridolfi, L.: A stochastic process for the interannual snow storage and melting dynamics, J. Geophys. Res.-Atmos., 112,
https://doi.org/10.1029/2006jd007798, 2007.
a
Philandras, C. M., Nastos, P. T., Kapsomenakis, J., Douvis, K. C., Tselioudis, G., and Zerefos, C. S.: Long term precipitation trends and variability within the Mediterranean region, Nat. Hazards Earth Syst. Sci., 11, 3235–3250,
https://doi.org/10.5194/nhess-11-3235-2011, 2011.
a
Salas, J. D. and Obeysekera, J.: Revisiting the concepts of return period and risk for nonstationary hydrologic extreme events, J. Hydrol. Eng., 19, 554–568,
https://doi.org/10.1061/(asce)he.1943-5584.0000820, 2014.
a,
b,
c,
d,
e,
f
Scherrer, S. C., Fischer, E. M., Posselt, R., Liniger, M. A., Croci-Maspoli, M., and Knutti, R.: Emerging trends in heavy precipitation and hot temperature extremes in Switzerland, J. Geophys. Res.-Atmos., 121, 2626–2637,
https://doi.org/10.1002/2015jd024634, 2016.
a
Šraj, M., Viglione, A., Parajka, J., and Blöschl, G.: The influence of non-stationarity in extreme hydrological events on flood frequency estimation, J. Hydrol. Hydromech., 64, 426–437,
https://doi.org/10.1515/johh-2016-0032, 2016.
a,
b
Todini, E. and Reggiani, P.: Toward a new flood assessment paradigm: From exceedance probabilities to the expected maximum floods and damages, Water Resour. Res., 60, e2023WR034477,
https://doi.org/10.1029/2023wr034477, 2024.
a
Villarini, G., Smith, J. A., Serinaldi, F., Bales, J., Bates, P. D., and Krajewski, W. F.: Flood frequency analysis for nonstationary annual peak records in an urban drainage basin, Adv. Water Resour., 32, 1255–1266,
https://doi.org/10.1016/j.advwatres.2009.05.003, 2009.
a,
b,
c
Vogel, R. M. and Castellarin, A.: Risk, reliability, and return periods and hydrologic design, in: Handbook of applied hydrology, chap. 78, McGraw-Hill New York, NY, 1–10, ISBN: 9780071835091, 2017. a
Volpi, E., Fiori, A., Grimaldi, S., Lombardo, F., and Koutsoyiannis, D.: One hundred years of return period: Strengths and limitations, Water Resour. Res., 51, 8570–8585,
https://doi.org/10.1002/2015wr017820, 2015.
a