Articles | Volume 18, issue 2
https://doi.org/10.5194/nhess-18-633-2018
https://doi.org/10.5194/nhess-18-633-2018
Research article
 | 
01 Mar 2018
Research article |  | 01 Mar 2018

Influence of uncertain identification of triggering rainfall on the assessment of landslide early warning thresholds

David J. Peres, Antonino Cancelliere, Roberto Greco, and Thom A. Bogaard

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (06 Jan 2018) by Luca Piciullo
AR by David J. Peres on behalf of the Authors (16 Jan 2018)  Author's response    Manuscript
ED: Publish subject to technical corrections (19 Jan 2018) by Luca Piciullo
Download
Short summary
We investigate the influence of imprecise identification of triggering instants on landslide early warning thresholds by perturbing an error-free synthetic dataset. Combined impacts of uncertainty with respect to temporal discretization of data and criteria for singling out rainfall events are assessed as well. Results show that thresholds can be significantly affected by these uncertainty sources.
Altmetrics
Final-revised paper
Preprint