Articles | Volume 385
https://doi.org/10.5194/piahs-385-147-2024
https://doi.org/10.5194/piahs-385-147-2024
Post-conference publication
 | 
18 Apr 2024
Post-conference publication |  | 18 Apr 2024

Rainfall data augmentation in Northern Italy through daily extremes and the Hershfield factor

Paola Mazzoglio, Ilaria Butera, and Pierluigi Claps

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Cited articles

Agrillo, G. and Bonati, V.: Atlante climatico della Liguria, ARPAL – Centro Funzionale Meteoidrologico di Protezione Civile, 127 pp., https://www.arpal.liguria.it/contenuti_statici//clima/atlante/Atlante_climatico_della_Liguria.pdf (last access: 3 April 2023), 2013. 
ARPAE-SIMC: Dext3r, ARPAE-SIMC [data set], https://simc.arpae.it/dext3r/, last access: 25 April 2022. 
ARPA Piemonte: Banca dati meteorologica, ARPA Piemonte [data set], http://www.arpa.piemonte.it/rischinaturali/accesso-ai-dati/annali_meteoidrologici/annali-meteo-idro/banca-dati-meteorologica.html (last access: 3 April 2023), 2022. 
ARPA Veneto: Dati delle precipitazioni di massima intensità, ARPA Veneto [data set], https://www.arpa.veneto.it/bollettini/storico/precmax/ (last access: 3 April 2023), 2022. 
Centro Funzionale Regione Autonoma Valle d'Aosta: Dati osservati del Centro Funzionale RAVDA, Centro Funzionale Regione Autonoma Valle d'Aosta [data set], https://presidi2.regione.vda.it/str_dataview_download (last access: 3 April 2023), 2022. 
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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.