Articles | Volume 23, issue 12
https://doi.org/10.5194/nhess-23-3805-2023
https://doi.org/10.5194/nhess-23-3805-2023
Research article
 | 
14 Dec 2023
Research article |  | 14 Dec 2023

Probabilistic Hydrological Estimation of LandSlides (PHELS): global ensemble landslide hazard modelling

Anne Felsberg, Zdenko Heyvaert, Jean Poesen, Thomas Stanley, and Gabriëlle J. M. De Lannoy

Viewed

Total article views: 1,320 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
991 267 62 1,320 40 43
  • HTML: 991
  • PDF: 267
  • XML: 62
  • Total: 1,320
  • BibTeX: 40
  • EndNote: 43
Views and downloads (calculated since 12 May 2023)
Cumulative views and downloads (calculated since 12 May 2023)

Viewed (geographical distribution)

Total article views: 1,320 (including HTML, PDF, and XML) Thereof 1,294 with geography defined and 26 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
The Probabilistic Hydrological Estimation of LandSlides (PHELS) model combines ensembles of landslide susceptibility and of hydrological predictor variables to provide daily, global ensembles of hazard for hydrologically triggered landslides. Testing different hydrological predictors showed that the combination of rainfall and soil moisture performed best, with the lowest number of missed and false alarms. The ensemble approach allowed the estimation of the associated prediction uncertainty.
Altmetrics
Final-revised paper
Preprint