Hydrologic research problem solving in HydroShare - Thunder Creek
|Authors:||Christina Bandaragoda Anthony Michael Castronova Jimmy Phuong|
|Owners:||Christina Bandaragoda Anthony Michael Castronova|
|Storage:||The size of this resource is 628.1 KB|
|Created:||Jul 26, 2017 at 2:37 a.m.|
|Last updated:||Jul 26, 2017 at 8:29 p.m. by Anthony Michael Castronova|
|Citation:||See how to cite this resource|
This resource was developed as a HydroShare workshop demonstration for the CUAHSI Hydroinformatics conference, July 25-27, 2017, Tuscaloosa, AL.
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 two 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.
Click on the hyperlink to ThunderCreek_DataIntegration_Beginner.ipynb. The beginner notebook is an Introduction for new HydroShare users who may have limited experience with Python code and Jupyter Notebooks. The advanced notebook explores how to combine watershed data with hydrology models (e.g. DHSVM) and the Landlab modeling framework (e.g. landsliding).
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.
Beginner Notebook (time savings ~ 9 months)
Download water data from CUAHSI HIS
Develop your own utilites (e.g. download hydrometeorology)
Save your results on HydroShare for your colleagues
Advanced Notebook (time savings ~2.5 years)
Run a preconfigured hydrology model installed on the CUAHSI JupyterHub server
Run a published Landlab landslide model
Publish your results and get a DOI
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 resource 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. Discuss., https://doi.org/10.5194/esurf-2017-39, in review, 2017.
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|The content of this resource is part of:||https://www.hydroshare.org/resource/bb9e1cc9e8b0487b99576938029fccb0/|
This resource was created using funding from the following sources:
|Agency Name||Award Title||Award Number|
|National Science Foundation|
|Erkan Istanbulluoglu||University of Washington|
|David Tarboton||Utah State University||Utah, US||4357973172|
|Dan Ames||Brigham Young University|
|Zhiyu (Drew) Li||Brigham Young University|
|Ronda Strauch||University of Washington|
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/
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