Articles | Volume 23, issue 4
https://doi.org/10.5194/nhess-23-1483-2023
https://doi.org/10.5194/nhess-23-1483-2023
Research article
 | 
21 Apr 2023
Research article |  | 21 Apr 2023

Deciphering seasonal effects of triggering and preparatory precipitation for improved shallow landslide prediction using generalized additive mixed models

Stefan Steger, Mateo Moreno, Alice Crespi, Peter James Zellner, Stefano Luigi Gariano, Maria Teresa Brunetti, Massimo Melillo, Silvia Peruccacci, Francesco Marra, Robin Kohrs, Jason Goetz, Volkmar Mair, and Massimiliano Pittore

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2022-271', Marta-Cristina Jurchescu, 01 Feb 2023
    • AC1: 'Reply on RC1', Stefan Steger, 01 Mar 2023
  • RC2: 'Comment on nhess-2022-271', Anonymous Referee #2, 17 Feb 2023
    • AC2: 'Reply on RC2', Stefan Steger, 01 Mar 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to minor revisions (review by editor) (13 Mar 2023) by Olivier Dewitte
AR by Stefan Steger on behalf of the Authors (14 Mar 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (17 Mar 2023) by Olivier Dewitte
AR by Stefan Steger on behalf of the Authors (27 Mar 2023)
Download
Short summary
We present a novel data-driven modelling approach to determine season-specific critical precipitation conditions for landslide occurrence. It is shown that the amount of precipitation required to trigger a landslide in South Tyrol varies from season to season. In summer, a higher amount of preparatory precipitation is required to trigger a landslide, probably due to denser vegetation and higher temperatures. We derive dynamic thresholds that directly relate to hit rates and false-alarm rates.
Altmetrics
Final-revised paper
Preprint