Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 21, issue 9
Articles | Volume 21, issue 9
https://doi.org/10.5194/hess-21-4525-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-4525-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 21, issue 9
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, Elisa Destro, Efthymios I. Nikolopoulos, Davide Zoccatelli, Jean Dominique Creutin, Fausto Guzzetti, and Marco Borga

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.
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