Articles | Volume 18, issue 2
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

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Cited articles

Barnes, L. R., Gruntfest, E. C., Hayden, M. H., Schultz, D. M., and Benight, C.: False Alarms and Close Calls: A Conceptual Model of Warning Accuracy, Weather Forecast., 22, 1140–1147,, 2007.
Baum, R. L., Godt, J. W., and Savage, W. Z.: Estimating the timing and location of shallow rainfall-induced landslides using a model for transient, unsaturated infiltration, J. Geophys. Res., 115, F03013,, 2010.
Berti, M., Martina, M. L. V, Franceschini, S., Pignone, S., Simoni, A., and Pizziolo, M.: Probabilistic rainfall thresholds for landslide occurrence using a Bayesian approach, J. Geophys. Res.-Earth, 117, 1–20,, 2012.
Bogaard, T. and Greco, R.: Invited perspectives: Hydrological perspectives on precipitation intensity-duration thresholds for landslide initiation: proposing hydro-meteorological thresholds, Nat. Hazards Earth Syst. Sci., 18, 31–39,, 2018.
Bogaard, T. A. and Greco, R.: Landslide hydrology: from hydrology to pore pressure, Wiley Interdiscip. Rev. Water, 3, 439–459,, 2016.
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.
Final-revised paper