Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 4.936 IF 4.936
  • IF 5-year value: 5.615 IF 5-year
    5.615
  • CiteScore value: 4.94 CiteScore
    4.94
  • SNIP value: 1.612 SNIP 1.612
  • IPP value: 4.70 IPP 4.70
  • SJR value: 2.134 SJR 2.134
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 107 Scimago H
    index 107
  • h5-index value: 63 h5-index 63
Volume 21, issue 9
Hydrol. Earth Syst. Sci., 21, 4525–4532, 2017
https://doi.org/10.5194/hess-21-4525-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 21, 4525–4532, 2017
https://doi.org/10.5194/hess-21-4525-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

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

Publications Copernicus
Download
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.
Previous studies have reported a systematic underestimation of debris flow occurrence...
Citation