Articles | Volume 26, issue 6
https://doi.org/10.5194/hess-26-1659-2022
© 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-26-1659-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 Mar 2022
Research article |
| 30 Mar 2022
| 30 Mar 2022
The role of morphology in the spatial distribution of short-duration rainfall extremes in Italy
Paola Mazzoglio
CORRESPONDING AUTHOR
Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Turin, 10129, Italy
Ilaria Butera
Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Turin, 10129, Italy
Massimiliano Alvioli
Istituto di Ricerca per la Protezione Idrogeologica, Consiglio Nazionale delle Ricerche (CNR), Perugia, 06128, Italy
Pierluigi Claps
Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Turin, 10129, Italy
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Cited
18 citations as recorded by crossref.
- How well does a convection-permitting regional climate model represent the reverse orographic effect of extreme hourly precipitation? E. Dallan et al. 10.5194/hess-27-1133-2023
- FOCA: a new quality-controlled database of floods and catchment descriptors in Italy P. Claps et al. 10.5194/essd-16-1503-2024
- AI-driven morphoclimatic regional frequency modelling of sub-daily rainfall-extremes A. Magnini et al. 10.1016/j.jhydrol.2024.130808
- Open gridded climate datasets can help investigating the relation between meteorological anomalies and geomorphic hazards in mountainous areas R. Paranunzio & F. Marra 10.1016/j.gloplacha.2023.104328
- Geomorphological slope units of the Himalayas M. Alvioli et al. 10.1080/17445647.2022.2052768
- Applying a time-varying GEV distribution to correct bias in rainfall quantiles derived from regional climate models M. Onderka et al. 10.2478/johh-2024-0025
- Orographic Precipitation Extremes: An Application of LUME (Linear Upslope Model Extension) over the Alps and Apennines in Italy A. Abbate et al. 10.3390/w14142218
- A gauge-based sub-daily extreme rainfall climatology for western Europe A. Whitford et al. 10.1016/j.wace.2023.100585
- Drivers and barriers of sustainable behaviours among young generations in a climate-vulnerable Italian city U. Mezzacapo et al. 10.1016/j.ijdrr.2025.105420
- Relation between storm characteristics and extreme precipitation statistics over CONUS D. Araujo et al. 10.1016/j.advwatres.2023.104497
- Estimation of extreme precipitation events in Estonia and Italy using dual-polarization weather radar quantitative precipitation estimations R. Cremonini et al. 10.5194/amt-16-2943-2023
- A local regression approach to analyze the orographic effect on the spatial variability of sub-daily rainfall annual maxima P. Mazzoglio et al. 10.1080/19475705.2023.2205000
- A stochastic framework for rainfall intensity–time scale–return period relationships. Part ΙΙ: point modelling and regionalization over Greece T. Iliopoulou et al. 10.1080/02626667.2024.2345814
- Exploring patterns in precipitation intensity–duration–area–frequency relationships using weather radar data T. Rosin et al. 10.5194/hess-28-3549-2024
- High-resolution spatial analysis of temperature influence on the rainfall regime and extreme precipitation events in north-central Italy M. Luppichini et al. 10.1016/j.scitotenv.2023.163368
- Improving the utility of weather radar for the spatial frequency analysis of extreme precipitation N. Ansh Srivastava & G. Mascaro 10.1016/j.jhydrol.2023.129902
- 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
- Landslides triggered by an extraordinary rainfall event in Central Italy on September 15, 2022 M. Donnini et al. 10.1007/s10346-023-02109-4
18 citations as recorded by crossref.
- How well does a convection-permitting regional climate model represent the reverse orographic effect of extreme hourly precipitation? E. Dallan et al. 10.5194/hess-27-1133-2023
- FOCA: a new quality-controlled database of floods and catchment descriptors in Italy P. Claps et al. 10.5194/essd-16-1503-2024
- AI-driven morphoclimatic regional frequency modelling of sub-daily rainfall-extremes A. Magnini et al. 10.1016/j.jhydrol.2024.130808
- Open gridded climate datasets can help investigating the relation between meteorological anomalies and geomorphic hazards in mountainous areas R. Paranunzio & F. Marra 10.1016/j.gloplacha.2023.104328
- Geomorphological slope units of the Himalayas M. Alvioli et al. 10.1080/17445647.2022.2052768
- Applying a time-varying GEV distribution to correct bias in rainfall quantiles derived from regional climate models M. Onderka et al. 10.2478/johh-2024-0025
- Orographic Precipitation Extremes: An Application of LUME (Linear Upslope Model Extension) over the Alps and Apennines in Italy A. Abbate et al. 10.3390/w14142218
- A gauge-based sub-daily extreme rainfall climatology for western Europe A. Whitford et al. 10.1016/j.wace.2023.100585
- Drivers and barriers of sustainable behaviours among young generations in a climate-vulnerable Italian city U. Mezzacapo et al. 10.1016/j.ijdrr.2025.105420
- Relation between storm characteristics and extreme precipitation statistics over CONUS D. Araujo et al. 10.1016/j.advwatres.2023.104497
- Estimation of extreme precipitation events in Estonia and Italy using dual-polarization weather radar quantitative precipitation estimations R. Cremonini et al. 10.5194/amt-16-2943-2023
- A local regression approach to analyze the orographic effect on the spatial variability of sub-daily rainfall annual maxima P. Mazzoglio et al. 10.1080/19475705.2023.2205000
- A stochastic framework for rainfall intensity–time scale–return period relationships. Part ΙΙ: point modelling and regionalization over Greece T. Iliopoulou et al. 10.1080/02626667.2024.2345814
- Exploring patterns in precipitation intensity–duration–area–frequency relationships using weather radar data T. Rosin et al. 10.5194/hess-28-3549-2024
- High-resolution spatial analysis of temperature influence on the rainfall regime and extreme precipitation events in north-central Italy M. Luppichini et al. 10.1016/j.scitotenv.2023.163368
- Improving the utility of weather radar for the spatial frequency analysis of extreme precipitation N. Ansh Srivastava & G. Mascaro 10.1016/j.jhydrol.2023.129902
- 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
- Landslides triggered by an extraordinary rainfall event in Central Italy on September 15, 2022 M. Donnini et al. 10.1007/s10346-023-02109-4
Latest update: 24 May 2025
Short summary
We have analyzed the spatial dependence of rainfall extremes upon elevation and morphology in Italy. Regression analyses show that previous rainfall–elevation relations at national scale can be substantially improved with new data, both using topography attributes and constraining the analysis within areas stemming from geomorphological zonation. Short-duration mean rainfall depths can then be estimated, all over Italy, using different parameters in each area of the geomorphological subdivision.
We have analyzed the spatial dependence of rainfall extremes upon elevation and morphology in...
