Articles | Volume 29, issue 4
https://doi.org/10.5194/hess-29-1159-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-29-1159-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Feb 2025
Research article |
| 28 Feb 2025
| 28 Feb 2025
Non-asymptotic distributions of water extremes: much ado about what?
Francesco Serinaldi
CORRESPONDING AUTHOR
School of Engineering, Newcastle University, Newcastle Upon Tyne, NE1 7RU, UK
Willis Research Network, 51 Lime St., London, EC3M 7DQ, UK
Federico Lombardo
Corpo Nazionale dei Vigili del Fuoco, Ministero dell'Interno, Piazza del Viminale, 1, Rome 00184, Italy
Chris G. Kilsby
School of Engineering, Newcastle University, Newcastle Upon Tyne, NE1 7RU, UK
Willis Research Network, 51 Lime St., London, EC3M 7DQ, UK
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E. Arnone, D. Pumo, F. Viola, L. V. Noto, and G. La Loggia
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B. Li and M. Rodell
Hydrol. Earth Syst. Sci., 17, 1177–1188, https://doi.org/10.5194/hess-17-1177-2013, https://doi.org/10.5194/hess-17-1177-2013, 2013
S. M. Papalexiou, D. Koutsoyiannis, and C. Makropoulos
Hydrol. Earth Syst. Sci., 17, 851–862, https://doi.org/10.5194/hess-17-851-2013, https://doi.org/10.5194/hess-17-851-2013, 2013
A. K. Gain, W. W. Immerzeel, F. C. Sperna Weiland, and M. F. P. Bierkens
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J. O. Haerter, S. Hagemann, C. Moseley, and C. Piani
Hydrol. Earth Syst. Sci., 15, 1065–1079, https://doi.org/10.5194/hess-15-1065-2011, https://doi.org/10.5194/hess-15-1065-2011, 2011
K. Stahl, H. Hisdal, J. Hannaford, L. M. Tallaksen, H. A. J. van Lanen, E. Sauquet, S. Demuth, M. Fendekova, and J. JĂłdar
Hydrol. Earth Syst. Sci., 14, 2367–2382, https://doi.org/10.5194/hess-14-2367-2010, https://doi.org/10.5194/hess-14-2367-2010, 2010
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Short summary
Non-asymptotic probability distributions of block maxima (BM) have been proposed as an alternative to asymptotic distributions from classic extreme-value theory. We show that the non-asymptotic models are unnecessary and redundant approximations of the corresponding parent distributions, which are readily available, are not affected by serial dependence, have simpler expression, and describe the probability of all quartiles of the process of interest and not only the probability of BM.
Non-asymptotic probability distributions of block maxima (BM) have been proposed as an...
