Technical Note: An operational landslide early warning system at regional scale based on space–time-variable rainfall thresholds

Segoni, S.; Battistini, A.; Rossi, G.; Rosi, A.; Lagomarsino, D.; Catani, F.; Moretti, S.; Casagli, N.

doi:https://doi.org/10.5194/nhess-15-853-2015

Articles | Volume 15, issue 4

https://doi.org/10.5194/nhess-15-853-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

Landslide Prediction & Forecasting

https://doi.org/10.5194/nhess-15-853-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 15, issue 4

Research article

|

16 Apr 2015

Research article |

| 16 Apr 2015

Technical Note: An operational landslide early warning system at regional scale based on space–time-variable rainfall thresholds

S. Segoni, A. Battistini, G. Rossi, A. Rosi, D. Lagomarsino, F. Catani, S. Moretti, and N. Casagli

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Final revised paper (published on 16 Apr 2015)
Preprint (discussion started on 22 Oct 2014)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC C2480: 'Manuscript revision', Anonymous Referee #1, 18 Nov 2014
- AC C3059: 'Answer to "manuscript revision" by Referee#1', Samuele Segoni, 15 Jan 2015
RC C2545: 'Review of Segoni et al. "An operational landslide early warning system..."', Anonymous Referee #2, 24 Nov 2014
- AC C3068: 'Answer to "manuscript revision" by Referee#2', Samuele Segoni, 15 Jan 2015
AC C3074: 'Final comment', Samuele Segoni, 15 Jan 2015
EC C3128: 'Editorial Comment', Fausto Guzzetti, 19 Jan 2015

Short summary

We monitor and forecast (with lead times up to 48h) regional-scale landslide hazard with an early warning system (EWS) implemented on a user-friendly WebGIS interface. The EWS detects the most critical rainfall conditions using a mosaic of 25 site-specific thresholds. Moreover, when the rainfall paths recorded by the instruments are compared with the thresholds, the thresholds are shifted in the time axis and adjusted to all possible starting times until the most hazardous scenario is found.