Articles | Volume 385
https://doi.org/10.5194/piahs-385-147-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/piahs-385-147-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Rainfall data augmentation in Northern Italy through daily extremes and the Hershfield factor
Paola Mazzoglio
CORRESPONDING AUTHOR
Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Torino, 10129, Italy
Ilaria Butera
Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Torino, 10129, Italy
Pierluigi Claps
Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Torino, 10129, Italy
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Short summary
The majority of rainfall measurements in the world is at the daily scale. Unfortunately, 24 h annual maximum rainfall depths, which refer to a period starting at any instant, are more useful indicators. In this work we investigated the possibility of reconstructing 24 h sliding maxima from historical daily maxima over the Po basin (Italy) by means of a parameter named Hershfield factor. The application of this factor improves the knowledge of the spatial variability of rainfall extremes.
The majority of rainfall measurements in the world is at the daily scale. Unfortunately, 24 h...