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23:41:22, 3 May 2023 +
This work was supported by the National Science Foundation under collaborative grants 1831623, 2026951, 2140831, 2104102, and 2148762. +
Jupyter Notebook +
1.5 hrs +
Landslides are frequent hazards in Puerto … Landslides are frequent hazards in Puerto Rico which are mainly caused by the steep terrain and heavy rainfall from hurricanes and other tropical weather systems. For example, Hurricane Maria hit the island of Puerto Rico on September 20th, 2017 and triggered more than 40,000 landslides in Puerto Rico (see details at https://www.usgs.gov/supplemental-appropriations-for-disaster-recovery-activities/landslides-triggered-hurricane-maria).</br></br></br>In this lab, we will calculate the hourly landslide susceptibility for the area that has high concentration of landslide of Puerto Rico during Hurricane Maria. We will use the Topography and ERA5 Data Components as well as Landlab to prepare several datasets to calculate the landslide susceptibility.to calculate the landslide susceptibility. +
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July 10, 2025 +
Landslide susceptibility is the likelihood … Landslide susceptibility is the likelihood of a landslide occurring in an area on the basis of local terrain condition to estimate “where” landslides are likely to occur. This lab demonstrates how to use several CSDMS Data Components (https://csdms.colorado.edu/wiki/DataComponents) to download topography and soil datasets to calculate the landslide susceptibility for a study area in Puerto Rico when Hurricane Maria hit the island in 2017. (Picture source: https://www.weather.gov/sju/maria2017)ce: https://www.weather.gov/sju/maria2017) +
A demonstration of how to use the Data Components to download topography and soil datasets to calculate the landslide susceptibility. +
Landlab +
<p>This lab can be run on the <em … <p>This lab can be run on the <em>explore</em> (for educators) and <em>jupyter</em> (for general use) instances of EarthscapeHub: just click one of the links under the <strong>Run online using</strong> heading at the top of this page, then run the notebook in the "CSDMS" kernel.</p></br></br><p>If you don't already have an EarthscapeHub account, follow the instructions to sign up at https://csdms.colorado.edu/wiki/JupyterHub. If you're an educator, you can get EarthscapeHub accounts for you and your students--please contact us through the CSDMS Help Desk: https://csdms.github.io/help-desk.</p> students--please contact us through the CSDMS Help Desk: https://csdms.github.io/help-desk.</p> +
Image:Landslide.jpg +
Strauch, R., Istanbulluoglu, E., Nudurupat … Strauch, R., Istanbulluoglu, E., Nudurupati, S. S., Bandaragoda, C., Gasparini, N. M., and Tucker, G. E. (2018), A hydroclimatological approach to predicting regional landslide probability using Landlab, Earth Surf. Dynam., 6, 49–75, https://doi.org/10.5194/esurf-6-49-20185, https://doi.org/10.5194/esurf-6-49-2018 +, Montgomery, D. R., and Dietrich, W. E. (1994), A physically based model for the topographic control on shallow landsliding, Water Resour. Res., 30( 4), 1153– 1171, https://doi.org/10.1029/93WR02979. + and Gan, T., Tucker, G.E., Hutton, E.W.H., Pip … Gan, T., Tucker, G.E., Hutton, E.W.H., Piper, M.D., Overeem, I., Kettner, A.J., Campforts, B., Moriarty, J.M., Undzis, B., Pierce, E., McCready, L., 2024: CSDMS Data Components: data–model integration tools for Earth surface processes modeling. Geosci. Model Dev., 17, 2165–2185. https://doi.org/10.5194/gmd-17-2165-2024. https://doi.org/10.5194/gmd-17-2165-2024 +
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22:24:48, 10 July 2025 +
