Articles | Volume 26, issue 14
https://doi.org/10.5194/hess-26-3863-2022
© Author(s) 2022. 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-26-3863-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 Jul 2022
Research article |
| 25 Jul 2022
| 25 Jul 2022
Analysis of high streamflow extremes in climate change studies: how do we calibrate hydrological models?
Department of Civil, Environmental and Mechanical Engineering,
University of Trento, 38123 Trento, Italy
Diego Avesani
Department of Civil, Environmental and Mechanical Engineering,
University of Trento, 38123 Trento, Italy
Patrick Zulian
Department of Civil, Environmental and Mechanical Engineering,
University of Trento, 38123 Trento, Italy
Aldo Fiori
Department of Engineering, Roma Tre University, 00154 Rome, Italy
Alberto Bellin
Department of Civil, Environmental and Mechanical Engineering,
University of Trento, 38123 Trento, Italy
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Short summary
In this work, we introduce a methodology for devising reliable future high streamflow scenarios from climate change simulations. The calibration of a hydrological model is carried out to maximize the probability that the modeled and observed high flow extremes belong to the same statistical population. Application to the Adige River catchment (southeastern Alps, Italy) showed that this procedure produces reliable quantiles of the annual maximum streamflow for use in assessment studies.
In this work, we introduce a methodology for devising reliable future high streamflow scenarios...
