Articles | Volume 22, issue 6
https://doi.org/10.5194/nhess-22-2169-2022
https://doi.org/10.5194/nhess-22-2169-2022
Research article
 | 
28 Jun 2022
Research article |  | 28 Jun 2022

Rainfall-induced landslide early warning system based on corrected mesoscale numerical models: an application for the southern Andes

Ivo Fustos-Toribio, Nataly Manque-Roa, Daniel Vásquez Antipan, Mauricio Hermosilla Sotomayor, and Viviana Letelier Gonzalez

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2021-317', Anonymous Referee #1, 17 Nov 2021
    • AC1: 'Reply on RC1', Ivo Fustos, 12 Feb 2022
  • RC2: 'Review of nhess-2021-317', Anonymous Referee #2, 30 Nov 2021
    • AC2: 'Reply on RC2', Ivo Fustos, 12 Feb 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (further review by editor and referees) (23 Feb 2022) by Elisabeth Schoepfer
AR by Ivo Fustos on behalf of the Authors (28 Feb 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (28 Feb 2022) by Elisabeth Schoepfer
RR by Anonymous Referee #1 (11 Mar 2022)
RR by Anonymous Referee #2 (28 Mar 2022)
ED: Reconsider after major revisions (further review by editor and referees) (31 Mar 2022) by Elisabeth Schoepfer
AR by Ivo Fustos on behalf of the Authors (12 Apr 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (20 Apr 2022) by Elisabeth Schoepfer
RR by Anonymous Referee #1 (27 Apr 2022)
RR by Anonymous Referee #2 (01 May 2022)
ED: Publish subject to minor revisions (review by editor) (12 May 2022) by Elisabeth Schoepfer
AR by Ivo Fustos on behalf of the Authors (16 May 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (27 May 2022) by Elisabeth Schoepfer
ED: Publish subject to technical corrections (06 Jun 2022) by Bruce D. Malamud (Executive editor)
AR by Ivo Fustos on behalf of the Authors (07 Jun 2022)  Manuscript 
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Short summary
We develop for the first time a rainfall-induced landslide early warning system for the south of Chile. We used forecast precipitation values at different scales using mesoscale models to evaluate the probability of landslides using statistical models. We showed the feasibility of implementing these models in future, supporting stakeholders and decision-makers.
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