Articles | Volume 24, issue 1
Hydrol. Earth Syst. Sci., 24, 473–488, 2020
https://doi.org/10.5194/hess-24-473-2020
Hydrol. Earth Syst. Sci., 24, 473–488, 2020
https://doi.org/10.5194/hess-24-473-2020

Research article 29 Jan 2020

Research article | 29 Jan 2020

Numerical investigation on the power of parametric and nonparametric tests for trend detection in annual maximum series

Vincenzo Totaro et al.

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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (further review by editor) (04 Nov 2019) by Giuliano Di Baldassarre
AR by Vincenzo Totaro on behalf of the Authors (13 Nov 2019)  Author's response    Manuscript
ED: Publish as is (03 Dec 2019) by Giuliano Di Baldassarre
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Short summary
We highlight the need for power evaluation in the application of null hypothesis significance tests for trend detection in extreme event analysis. In a wide range of conditions, depending on the underlying distribution of data, the test power may reach unacceptably low values. We propose the use of a parametric approach, based on model selection criteria, that allows one to choose the null hypothesis, to select the level of significance, and to check the test power using Monte Carlo experiments.