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Type: | Resource | |
Storage: | The size of this resource is 1.2 MB | |
Created: | Jul 25, 2017 at 7:35 p.m. | |
Last updated: | Jun 20, 2018 at 8:37 p.m. | |
Citation: | See how to cite this resource |
Sharing Status: | Public |
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Views: | 2371 |
Downloads: | 183 |
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Abstract
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. Dynamo. 6: 49-75. Data for this notebook are located at this resource: https://www.hydroshare.org/resource/a5b52c0e1493401a815f4e77b09d352b/
Subject Keywords
Coverage
Spatial
Temporal
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Content
Related Resources
This resource updates and replaces a previous version | Strauch, R., E. Istanbulluoglu, S. S. Nudurupati, C. Bandaragoda (2022). Regional landslide hazard using Landlab - NOCA Observatory (with Thunder), HydroShare, http://www.hydroshare.org/resource/4db368cc1a904b98954ed1a52823ed9c |
Title | Owners | Sharing Status | My Permission |
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Landlab Tutorials GSA 2017 | Christina Norton · Erkan Istanbulluoglu · Greg Tucker · Nicole Gasparini | Private & Shareable | None |
Landlab Tutorials GSA 2017 | Jezra Beaulieu | Private & Shareable | None |
Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
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National Science Foundation | CBET Environmental Sustainability Program | 1336725 |
How to Cite
This resource is shared under the Creative Commons Attribution-NoCommercial-NoDerivs CC BY-NC-ND.
http://creativecommons.org/licenses/by-nc-nd/4.0/
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