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Articles | Volume 25, issue 12
https://doi.org/10.5194/hess-25-6479-2021
https://doi.org/10.5194/hess-25-6479-2021
Research article
 | 
20 Dec 2021
Research article |  | 20 Dec 2021

Flexible and consistent quantile estimation for intensity–duration–frequency curves

Felix S. Fauer, Jana Ulrich, Oscar E. Jurado, and Henning W. Rust

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Cited articles

Agilan, V. and Umamahesh, N. V.: What are the best covariates for developing non-stationary rainfall Intensity-Duration-Frequency relationship?, Adv. Water Resour., 101, 11–22, https://doi.org/10.1016/j.advwatres.2016.12.016, 2017. a
Benestad, R. E., Lutz, J., Dyrrdal, A. V., Haugen, J. E., Parding, K. M., and Dobler, A.: Testing a simple formula for calculating approximate intensity-duration-frequency curves, Environ. Res. Lett., 16, 044009, https://doi.org/10.1088/1748-9326/abd4ab, 2021. a
Bentzien, S. and Friederichs, P.: Decomposition and graphical portrayal of the quantile score, Q. J. Roy. Meteor. Soc., 140, 1924–1934, https://doi.org/10.1002/qj.2284, 2014. a
Bezak, N., Šraj, M., and Mikoš, M.: Copula-based IDF curves and empirical rainfall thresholds for flash floods and rainfall-induced landslides, J. Hydrol., 541, 272–284, https://doi.org/10.1016/j.jhydrol.2016.02.058, 2016. a
Bougadis, J. and Adamowski, K.: Scaling model of a rainfall intensity-duration-frequency relationship, Hydrol. Process., 20, 3747–3757, https://doi.org/10.1002/hyp.6386, 2006. a, b
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Extreme rainfall events are modeled in this study for different timescales. A new...
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