Articles | Volume 22, issue 5
https://doi.org/10.5194/hess-22-2705-2018
© Author(s) 2018. 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-22-2705-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Technical note
| 
07 May 2018
Technical note |
| 07 May 2018
| 07 May 2018
Technical note: Space–time analysis of rainfall extremes in Italy: clues from a reconciled dataset
Andrea Libertino
CORRESPONDING AUTHOR
Department of Environment, Land and Infrastructure Engineering (DIATI), Politecnico di Torino, Torino, Italy
Daniele Ganora
Department of Environment, Land and Infrastructure Engineering (DIATI), Politecnico di Torino, Torino, Italy
Pierluigi Claps
Department of Environment, Land and Infrastructure Engineering (DIATI), Politecnico di Torino, Torino, Italy
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Cited
16 citations as recorded by crossref.
- I2-RED: A Massive Update and Quality Control of the Italian Annual Extreme Rainfall Dataset P. Mazzoglio et al. 10.3390/w12123308
- Mapping the uneven temporal changes in ordinary and extraordinary rainfall extremes in Italy P. Mazzoglio et al. 10.1016/j.ejrh.2025.102287
- Interpolating climate variables by using INLA and the SPDE approach G. Fioravanti et al. 10.1002/joc.8240
- Heavy Precipitation Systems in Calabria Region (Southern Italy): High-Resolution Observed Rainfall and Large-Scale Atmospheric Pattern Analysis A. Greco et al. 10.3390/w12051468
- A Regional-Scale Landslide Warning System Based on 20 Years of Operational Experience S. Segoni et al. 10.3390/w10101297
- Evidence for Increasing Rainfall Extremes Remains Elusive at Large Spatial Scales: The Case of Italy A. Libertino et al. 10.1029/2019GL083371
- Precipitation frequency analyses based on radar estimates: An evaluation over the contiguous United States D. McGraw et al. 10.1016/j.jhydrol.2019.03.032
- Definition of Environmental Indicators for a Fast Estimation of Landslide Risk at National Scale S. Segoni & F. Caleca 10.3390/land10060621
- Ten-year return levels of sub-daily extreme precipitation over Europe B. Poschlod et al. 10.5194/essd-13-983-2021
- A novel prototype national-scale landslide nowcasting system for Italy combining rainfall thresholds and risk indicators S. Segoni et al. 10.1007/s10346-024-02452-0
- Optimization of rainfall thresholds for landslide early warning through false alarm reduction and a multi-source validation N. Nocentini et al. 10.1007/s10346-023-02176-7
- Using ERA-5 LAND reanalysis rainfall data to better evaluate the performance of the regional shallow landslide early warning system of Piemonte (north-western Italy) in the context of climate change V. Botto et al. 10.3389/feart.2024.1536277
- Snow cover prediction in the Italian central Apennines using weather forecast and land surface numerical models E. Raparelli et al. 10.5194/tc-17-519-2023
- Spatial variability of precipitation extremes over Italy using a fine-resolution gridded product B. Moccia et al. 10.1016/j.ejrh.2021.100906
- Rescue and quality control of sub-daily meteorological data collected at Montevergine Observatory (Southern Apennines), 1884–1963 V. Capozzi et al. 10.5194/essd-12-1467-2020
- Spatial–temporal distribution of rainfall erosivity, erosivity density and correlation with El Niño–Southern Oscillation in the Huaihe River Basin, China Z. Xu et al. 10.1016/j.ecoinf.2019.04.004
15 citations as recorded by crossref.
- I2-RED: A Massive Update and Quality Control of the Italian Annual Extreme Rainfall Dataset P. Mazzoglio et al. 10.3390/w12123308
- Mapping the uneven temporal changes in ordinary and extraordinary rainfall extremes in Italy P. Mazzoglio et al. 10.1016/j.ejrh.2025.102287
- Interpolating climate variables by using INLA and the SPDE approach G. Fioravanti et al. 10.1002/joc.8240
- Heavy Precipitation Systems in Calabria Region (Southern Italy): High-Resolution Observed Rainfall and Large-Scale Atmospheric Pattern Analysis A. Greco et al. 10.3390/w12051468
- A Regional-Scale Landslide Warning System Based on 20 Years of Operational Experience S. Segoni et al. 10.3390/w10101297
- Evidence for Increasing Rainfall Extremes Remains Elusive at Large Spatial Scales: The Case of Italy A. Libertino et al. 10.1029/2019GL083371
- Precipitation frequency analyses based on radar estimates: An evaluation over the contiguous United States D. McGraw et al. 10.1016/j.jhydrol.2019.03.032
- Definition of Environmental Indicators for a Fast Estimation of Landslide Risk at National Scale S. Segoni & F. Caleca 10.3390/land10060621
- Ten-year return levels of sub-daily extreme precipitation over Europe B. Poschlod et al. 10.5194/essd-13-983-2021
- A novel prototype national-scale landslide nowcasting system for Italy combining rainfall thresholds and risk indicators S. Segoni et al. 10.1007/s10346-024-02452-0
- Optimization of rainfall thresholds for landslide early warning through false alarm reduction and a multi-source validation N. Nocentini et al. 10.1007/s10346-023-02176-7
- Using ERA-5 LAND reanalysis rainfall data to better evaluate the performance of the regional shallow landslide early warning system of Piemonte (north-western Italy) in the context of climate change V. Botto et al. 10.3389/feart.2024.1536277
- Snow cover prediction in the Italian central Apennines using weather forecast and land surface numerical models E. Raparelli et al. 10.5194/tc-17-519-2023
- Spatial variability of precipitation extremes over Italy using a fine-resolution gridded product B. Moccia et al. 10.1016/j.ejrh.2021.100906
- Rescue and quality control of sub-daily meteorological data collected at Montevergine Observatory (Southern Apennines), 1884–1963 V. Capozzi et al. 10.5194/essd-12-1467-2020
Latest update: 31 May 2025
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.
A new comprehensive dataset of annual maximum rainfall depths recorded in 1 to 24 consecutive...
