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|Jun 28, 2020 at 6:09 p.m.
|Jul 18, 2021 at 10:19 p.m.
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This resource illustrates how data and code can be combined together to support hydrologic analyses. It was developed June 2020 as part of a HydroLearn Hackathon.
This resource is part of a short HydroLearn module to illustrate the embedding of data and python code into HydroLearn.
The primary audience is instructors developing content for HydroLearn that includes code execution as part of the learning activities, but it may be of use to anyone who wants a simple Python data analysis example.
To use this Resource
At the top right click on "Open With" to open the HydroShare resource on the compute platform selected. Pick whichever of CUAHSI JupyterHub or CyberGIS-Jupyter for Water you wish to use.
Once JupyterHub opens click to open the file 'FlowFromSnow.ipynb'
Follow the instructions in the notebook to perform the illustrative analysis it holds relating maximum annual streamflow to maximum snow water equivalent for a specific location.
|This resource is described by
|Tarboton, D. G., 2020, Embedding data and python code into a module, HydroLearn, https://edx.hydrolearn.org/courses/course-v1:Utah_State_University+EmbedCode101+1/about
This resource was created using funding from the following sources:
|National Science Foundation
|Collaborative Research: Improving Student Learning in Hydrology & Water Resources Engineering by Enabling the Development, Sharing and Interoperability of Active Learning Resources
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/