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Earth Surface Dynamics An interactive open-access journal of the European Geosciences Union
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Volume 6, issue 1
Earth Surf. Dynam., 6, 49-75, 2018
https://doi.org/10.5194/esurf-6-49-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Earth Surf. Dynam., 6, 49-75, 2018
https://doi.org/10.5194/esurf-6-49-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 07 Feb 2018

Research article | 07 Feb 2018

A hydroclimatological approach to predicting regional landslide probability using Landlab

Ronda Strauch et al.
Data sets

Regional landslide hazard using Landlab – NOCA Data R. Strauch, E. Istanbulluoglu, S. S. Nudurupati, and C. Bandaragoda https://doi.org/10.4211/hs.a5b52c0e1493401a815f4e77b09d352b

Model code and software

R. Strauch, E. Istanbulluoglu, S. S. Nudurupati, C. Bandaragoda, N. Gasparini, and G. Tucker A hydroclimatological approach to predicting regional landslide probability using Landlab: Model code and Users Manual https://doi.org/10.4211/hs.27d34fc967be4ee6bc1f1ae92657bf2b

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Short summary
We develop a model of annual probability of shallow landslide initiation triggered by soil water from a hydrologic model. Our physically based model accommodates data uncertainty using a Monte Carlo approach. We found elevation-dependent patterns in probability related to the stabilizing effect of forests and soil and slope limitation at high elevations. We demonstrate our model in Washington, USA, but it is designed to run elsewhere with available data for risk planning using the Landlab.
We develop a model of annual probability of shallow landslide initiation triggered by soil water...
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