Articles | Volume 25, issue 11
Hydrol. Earth Syst. Sci., 25, 5937–5950, 2021
https://doi.org/10.5194/hess-25-5937-2021
Hydrol. Earth Syst. Sci., 25, 5937–5950, 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 et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (22 Mar 2021) by Carlo De Michele
AR by Elena Leonarduzzi on behalf of the Authors (16 Jun 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (19 Jun 2021) by Carlo De Michele
RR by Anonymous Referee #2 (12 Jul 2021)
RR by Anonymous Referee #3 (16 Jul 2021)
RR by Anonymous Referee #1 (25 Jul 2021)
ED: Publish subject to minor revisions (review by editor) (02 Sep 2021) by Carlo De Michele
AR by Elena Leonarduzzi on behalf of the Authors (24 Sep 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (04 Oct 2021) by Carlo De Michele
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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.