Articles | Volume 22, issue 5
Hydrol. Earth Syst. Sci., 22, 2705–2715, 2018
https://doi.org/10.5194/hess-22-2705-2018
Hydrol. Earth Syst. Sci., 22, 2705–2715, 2018
https://doi.org/10.5194/hess-22-2705-2018

Technical note 07 May 2018

Technical note | 07 May 2018

Technical note: Space–time analysis of rainfall extremes in Italy: clues from a reconciled dataset

Andrea Libertino et al.

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Cited articles

Acquaotta, F., Fratianni, S., and Venema, V.: Assessment of parallel precipitation measurements networks in Piedmont, Italy, Int. J. Climatol., 36, 3963–3974, 2016. a, b
Allamano, P., Claps, P., Laio, F., and Thea, C.: A data-based assessment of the dependence of short-duration precipitation on elevation, Phys. Chem. Earth, 34, 635–641, 2009. a
ARPAL: Atlante Climatico della Liguria, Final report, Regione Liguria, available at: https://www.arpal.gov.it/contenuti_statici//clima/atlante/Atlante_climatico_della_Liguria.pdf Genova, IT, 2013. a
Barbero, S., Zaccagnino, M., Mariani, S., Lastoria, B., Braca, G., Bussettini, M., Casaioli, M., Marsico, L., Rotundo, R., Pavan, V., Ricciardi., G., Zenoni, E., Cicogna, A., Micheletti., S., Cazzuli., O., Di Priolo, S., Ranci, M., Rondanini, C., Bianco, G., Egiatti, G., Montanini, P., Saccardo, I., Campione, E., Pupillo, S., Iocca, F., Lazzeri, M., Tedeschini, M., Marzano, V., Schena, P., Licciardello, A., Manzella, F., Brunier, F., Ratto, S.: Linee guida per il controllo di validità dei dati idro-meteorologici (Guidelines for the quality check of hydrometeorological data), Resources in Italian, 156, ISPRA – Manuali e Linee Guida, Roma, 2017. a, b
Blöschl, G., Gaál, L., Hall, J., Kiss, A., Komma, J., Nester, T., Parajka, J., Perdigão, R. A. P., Plavcová, L., Rogger, M., Salinas, J. L., and Viglione, A.: Increasing river floods: fiction or reality?, Wiley Interdiscip. Rev. Cogn. Sci, 2, 329–344, https://doi.org/10.1002/wat2.1079, 2015. a
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Short summary
A new comprehensive dataset of annual maximum rainfall depths recorded in 1 to 24 consecutive hours in Italy is presented. More than 4500 stations are considered, spanning the period between 1916 and 2014. For the first time, a national dataset of annual maxima allows for an updated characterization of rainstorms in Italy, getting rid of the regional borders. The spatio-temporal analyses of the highest rainstorms represent a robust starting point for the assessment of the extreme rainfall risk.