Articles | Volume 24, issue 2
https://doi.org/10.5194/nhess-24-501-2024
https://doi.org/10.5194/nhess-24-501-2024
Research article
 | 
14 Feb 2024
Research article |  | 14 Feb 2024

CRHyME (Climatic Rainfall Hydrogeological Modelling Experiment): a new model for geo-hydrological hazard assessment at the basin scale

Andrea Abbate, Leonardo Mancusi, Francesco Apadula, Antonella Frigerio, Monica Papini, and Laura Longoni

Related authors

Analysis of meteorological parameters triggering rainfall-induced landslide: a review of 70 years in Valtellina
Andrea Abbate, Monica Papini, and Laura Longoni
Nat. Hazards Earth Syst. Sci., 21, 2041–2058, https://doi.org/10.5194/nhess-21-2041-2021,https://doi.org/10.5194/nhess-21-2041-2021, 2021
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Cited articles

Abbate, A. and Mancusi, L.: Manuale del modello CRHyME (Climate Rainfall Hydrogeological Modelling Experiment), RSE Report RdS 21012462, Milano, RSE , https://www.rse-web.it/rapporti/manuale-del-modello-crhyme-climatic-rainfall-hydrogeological (last access: 1 November 3)202, 2021a. 
Abbate, A. and Mancusi, L.: Strumenti per la mappatura delle minacce idrogeologiche per il sistema energetico e incidenza dei cambiamenti climatici, RSE Report RdS 21010317, Milano, RSE, https://www.rse-web.it/rapporti/strumenti-per-la-mappatura-delle-minacce-idrogeologiche-per (last access: 1 November 2023), 2021b. 
Abbate, A., Longoni, L., Ivanov, V. I., and Papini, M.: Wildfire impacts on slope stability triggering in mountain areas, MDPI Geosci., 9, 1–15, https://doi.org/10.3390/geosciences9100417, 2019. 
Abbate, A., Papini, M., and Longoni, L.: Analysis of meteorological parameters triggering rainfall-induced landslide: a review of 70 years in Valtellina, Nat. Hazards Earth Syst. Sci., 21, 2041–2058, https://doi.org/10.5194/nhess-21-2041-2021, 2021a. 
Abbate, A., Papini, M., and Longoni, L.: Extreme Rainfall over Complex Terrain: An Application of the Linear Model of Orographic Precipitation to a Case Study in the Italian Pre-Alps, Geosciences, 11, 18, https://doi.org/10.3390/geosciences11010018, 2021b. 
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Short summary
CRHyME (Climatic Rainfall Hydrogeological Modelling Experiment) is a new physically based and spatially distributed rainfall-runoff model. The main novelties consist of reproducing rainfall-induced geo-hydrological hazards such as shallow landslide, debris flow and watershed erosion through a multi-hazard approach. CRHyME was written in Python, works at a high spatial and temporal resolution, and is a tool suitable for quantifying extreme rainfall consequences at the basin scale.
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