Please wait for the process to complete.
Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
||This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (firstname.lastname@example.org) for information on this resource.|
|Storage:||The size of this resource is 336.4 KB|
|Created:||Oct 20, 2017 at 7:41 p.m.|
|Last updated:|| Jun 20, 2018 at 7:40 p.m.
|Citation:||See how to cite this resource|
|+1 Votes:||Be the first one to this.|
|Comments:||No comments (yet)|
This resource is a subset of the resource below and provides a demonstration of running a landslide model using Landlab for Thunder Creek watershed within North Cascades National Park Complex (NOCA). It allows the adjustment of model input to explore effects on landslide probability, such as fire. The notebook takes 23 min to run straight through.
Bandaragoda, C., A. M. Castronova, J. Phuong, E. Istanbulluoglu, S. S. Nudurupati, R. Strauch, N. Gasparini, E. Hutton, G. Tucker, D. Hobley, K. Barnhart, J. Adams, D. Tarboton, S. Wang, D. Yin (2017). Lowering the barriers to computational modeling of Earth’s surface: coupling Jupyter Notebooks with Landlab, HydroShare, and CyberGIS for research and education, HydroShare, http://www.hydroshare.org/resource/70b977e22af544f8a7e5a803935c329c.
When you open this resource with the CUAHSI JupyterHub server (upper right, click on Open With, Select JupyterHub NCSA), you will launch a Welcome Notebook that will connect you to the CyberGIS virtual machine on the ROGER super computer at the University of Illinois, Urbana-Champagne. When you execute (Run Step 1 and Step 2 only) in the Jupyter Notebook cells on the Welcome Notebook, you will download related data and Notebooks designed to explore hydrologic research problem solving using data and model integration in HydroShare . Skip Step 3 "Welcome" tutorial steps unless you want to explore how to do work and Save back to HydroShare.
The problem: Researchers need a modeling workflow that is flexible for developing their own code, with easy access to distributed datasets, shared on a common platform for coupling multiple models, usable by science colleagues, with easy publication of data, code, and scientific studies.
The emerging solution: Collaborate with the CUAHSI HydroShare community to use and contribute to water data software and hardware tools, so that you can focus on your science, be efficient with your time and resources, and build on existing research in multiple domains of water science.
This is a Watershed Dynamics Model developed by the Watershed Dynamics Research Group in the Civil and Environmental Engineering Department at the University of Washington for the Thunder Creek basin in the Skagit Watershed, WA, USA in collaboration with CUAHSI.
The landslide model was originally derived from a reproducible demonstration of the landslide modeling results from: Strauch, R., Istanbulluoglu, E., Nudurupati, S. S., Bandaragoda, C., Gasparini, N. M., and Tucker, G. E.: A hydro-climatological approach to predicting regional landslide probability using Landlab, Earth Surf. Dynam. 6, 49-75, https://doi.org/10.5194/esurf-6-49-2018, 2018.
|Title||Owners||Sharing Status||My Permission|
|Landlab Tutorials GSA 2017||Christina Bandaragoda · Erkan Istanbulluoglu · Greg Tucker · Nicole Gasparini||Private & Shareable||None|
|Landlab Tutorials GSA 2017||Jezra Beaulieu||Private & Shareable||None|
This resource was created using funding from the following sources:
|Agency Name||Award Title||Award Number|
|National Science Foundation||CBET Environmental Sustainability Program||1336725|
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
|Jimmy Phuong||University of Washington||Washington, US|
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/
There are currently no comments