Articles | Volume 25, issue 12
Hydrol. Earth Syst. Sci., 25, 6479–6494, 2021
https://doi.org/10.5194/hess-25-6479-2021
Hydrol. Earth Syst. Sci., 25, 6479–6494, 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 et al.

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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 parameterization of the dependence between extreme values and their timescale enables our model to estimate extremes on very short (1 min) and long (5 d) timescales simultaneously. We compare different approaches of modeling this dependence and find that our new model improves performance for timescales between 2 h and 2 d without affecting model performance on other timescales.