Articles | Volume 21, issue 9
Hydrol. Earth Syst. Sci., 21, 4525–4532, 2017
https://doi.org/10.5194/hess-21-4525-2017
Hydrol. Earth Syst. Sci., 21, 4525–4532, 2017
https://doi.org/10.5194/hess-21-4525-2017

Research article 12 Sep 2017

Research article | 12 Sep 2017

Impact of rainfall spatial aggregation on the identification of debris flow occurrence thresholds

Francesco Marra et al.

Data sets

Radar rainfall estimation for the identification of debris-flow occurrence thresholds F. Marra, E. I. Nikolopoulos, J. D. Creutin, and M. Borga https://doi.org/10.1016/j.jhydrol.2014.09.039

Spatial estimation of debris flows-triggering rainfall and its dependence on rainfall return period E. Destro, F. Marra, E. I. Nikolopoulos, D. Zoccatelli, J. D. Creutin, and M. Borga https://doi.org/10.1016/j.geomorph.2016.11.019

Model code and software

Impact of uncertainty in rainfall estimation on the identification of rainfall thresholds for debris flow occurrence E. I. Nikolopoulos, S. Crema, L. Marchi, F. Marra, F. Guzzetti, and M. Borga https://doi.org/10.1016/j.geomorph.2014.06.015

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Short summary
Previous studies have reported a systematic underestimation of debris flow occurrence thresholds, due to the use of sparse networks in non-stationary rain fields. We analysed high-resolution radar data to show that spatially aggregated estimates (e.g. satellite data) largely reduce this issue, in light of a reduced estimation variance. Our findings are transferable to other situations in which lower envelope curves are used to predict point-like events in the presence of non-stationary fields.