Articles | Volume 25, issue 11
https://doi.org/10.5194/hess-25-5937-2021
https://doi.org/10.5194/hess-25-5937-2021
Research article
 | 
15 Nov 2021
Research article |  | 15 Nov 2021

Rainfall-induced shallow landslides and soil wetness: comparison of physically based and probabilistic predictions

Elena Leonarduzzi, Brian W. McArdell, and Peter Molnar

Data sets

Data Publication Server Forschungszentrum Jülich re3data.org https://doi.org/10.17616/R31NJMGR

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Short summary
Landslides are a dangerous natural hazard affecting alpine regions, calling for effective warning systems. Here we consider different approaches for the prediction of rainfall-induced shallow landslides at the regional scale, based on open-access datasets and operational hydrological forecasting systems. We find antecedent wetness useful to improve upon the classical rainfall thresholds and the resolution of the hydrological model used for its estimate to be a critical aspect.