Regional landslide hazard using Landlab - NOCA Observatory (with Thunder)
|Authors:||Ronda Strauch · Erkan Istanbulluoglu · Sai Siddhartha Nudurupati · Christina Bandaragoda|
|Owners:||Ronda Strauch · Christina Bandaragoda|
|Created:||Jul 25, 2017 at 7:35 p.m.|
|Last updated:||Jun 21, 2018 at 3:30 p.m. by Ronda Strauch|
The NOCA landslide observatory host the driver code and customized component code as well as locates the data files needed to run Landlab's LandslideProbability component. It contains multiple Jupyter notebooks to demonstrate this component:
1) Synthetic_recharge_LandlabLandslide - Used to demonstrate the component on a synthetic grid with synthetic data with 4 options for parameterizing recharge.
2) NOCA_run_eSurfpaper_LandlabLandslide - models annual landslide probability for North Cascades National Park Complex, designed to replicate a portion of the modeling and results in Strauch et al., (2018) A hydro-climatological approach to predicting regional landslide probability using Landlab, Earth Surf. Dynam. 6: 49-75. Data for this notebook are located at this resource: https://www.hydroshare.org/resource/a5b52c0e1493401a815f4e77b09d352b/
3) ThunderCreek_LandlabLandslide - Model of landslide probability for the Thunder Creek portion of North Cascades National Park using a 'lognormal spatial' distribution for recharge.
VIC,Landlab,hydrology,North Cascades,National Park,Thunder Creek,landslide
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This resource is shared under the Creative Commons Attribution-NoCommercial-NoDerivs CC BY-NC-ND.http://creativecommons.org/licenses/by-nc-nd/4.0/
|Coordinate System/Geographic Projection:||WGS 84 EPSG:4326|
|Coordinate Units:||Decimal degrees|
ContentYou do not have permission to see these content files. Please contact the Authors if you wish to obtain access.
|Ronda Strauch||University of Washington|
|Erkan Istanbulluoglu||University of Washington|
|Sai Siddhartha Nudurupati||University of Washington - Seattle||WA, US||4026170098|
|Christina Bandaragoda||University of Washington|
This resource was created using funding from the following sources:
|Agency Name||Award Title||Award Number|
|National Science Foundation||CBET Environmental Sustainability Program||1336725|
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