Articles | Volume 26, issue 6
https://doi.org/10.5194/hess-26-1659-2022
https://doi.org/10.5194/hess-26-1659-2022
Research article
 | 
30 Mar 2022
Research article |  | 30 Mar 2022

The role of morphology in the spatial distribution of short-duration rainfall extremes in Italy

Paola Mazzoglio, Ilaria Butera, Massimiliano Alvioli, and Pierluigi Claps

Related authors

FOCA: a new quality-controlled database of floods and catchment descriptors in Italy
Pierluigi Claps, Giulia Evangelista, Daniele Ganora, Paola Mazzoglio, and Irene Monforte
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-233,https://doi.org/10.5194/essd-2023-233, 2023
Preprint under review for ESSD
Short summary

Related subject area

Subject: Hydrometeorology | Techniques and Approaches: Modelling approaches
Seasonal soil moisture and crop yield prediction with fifth-generation seasonal forecasting system (SEAS5) long-range meteorological forecasts in a land surface modelling approach
Theresa Boas, Heye Reemt Bogena, Dongryeol Ryu, Harry Vereecken, Andrew Western, and Harrie-Jan Hendricks Franssen
Hydrol. Earth Syst. Sci., 27, 3143–3167, https://doi.org/10.5194/hess-27-3143-2023,https://doi.org/10.5194/hess-27-3143-2023, 2023
Short summary
A genetic particle filter scheme for univariate snow cover assimilation into Noah-MP model across snow climates
Yuanhong You, Chunlin Huang, Zuo Wang, Jinliang Hou, Ying Zhang, and Peipei Xu
Hydrol. Earth Syst. Sci., 27, 2919–2933, https://doi.org/10.5194/hess-27-2919-2023,https://doi.org/10.5194/hess-27-2919-2023, 2023
Short summary
Investigating the response of land–atmosphere interactions and feedbacks to spatial representation of irrigation in a coupled modeling framework
Patricia Lawston-Parker, Joseph A. Santanello Jr., and Nathaniel W. Chaney
Hydrol. Earth Syst. Sci., 27, 2787–2805, https://doi.org/10.5194/hess-27-2787-2023,https://doi.org/10.5194/hess-27-2787-2023, 2023
Short summary
Validation of precipitation reanalysis products for rainfall-runoff modelling in Slovenia
Marcos Julien Alexopoulos, Hannes Müller-Thomy, Patrick Nistahl, Mojca Šraj, and Nejc Bezak
Hydrol. Earth Syst. Sci., 27, 2559–2578, https://doi.org/10.5194/hess-27-2559-2023,https://doi.org/10.5194/hess-27-2559-2023, 2023
Short summary
Statistical post-processing of precipitation forecasts using circulation classifications and spatiotemporal deep neural networks
Tuantuan Zhang, Zhongmin Liang, Wentao Li, Jun Wang, Yiming Hu, and Binquan Li
Hydrol. Earth Syst. Sci., 27, 1945–1960, https://doi.org/10.5194/hess-27-1945-2023,https://doi.org/10.5194/hess-27-1945-2023, 2023
Short summary

Cited articles

Accorsi, M.: SOIUSA (Suddivisione Internazionale Unificata del Sistema Alpino) classification, ARPA Piemonte [data set], http://webgis.arpa.piemonte.it/geoportalserver_arpa/catalog/search/ (last access: 19 March 2022), 2016. 
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, JPCE1649, https://doi.org/10.1016/j.pce.2009.01.001, 2009. 
Alvioli, M., Marchesini, I., Reichenbach, P., Rossi, M., Ardizzone, F., Fiorucci, F., and Guzzetti, F.: Automatic delineation of geomorphological slope units with r.slopeunits v1.0 and their optimization for landslide susceptibility modeling, Geosci. Model Dev., 9, 3975–3991, https://doi.org/10.5194/gmd-9-3975-2016, 2016. 
Alvioli, M., Guzzetti, F., and Marchesini I.: Parameter-free delineation of slope units and terrain subdivision of Italy, Geomorphology, 358, 107124, https://doi.org/10.1016/j.geomorph.2020.107124, 2020a. 
Alvioli M., Guzzetti F., Marchesini I.: Slope units delineation [data set], https://geomorphology.irpi.cnr.it/tools/slope-units (last access: 19 March 2022), 2020b. 
Download
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.