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Type: Resource
Storage: The size of this resource is 1.1 MB
Created: Nov 29, 2021 at 10:20 p.m.
Last updated: Dec 14, 2021 at 4:58 p.m.
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Sharing Status: Public
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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.

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Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:


Start Date:
End Date:


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

  1. 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.

  2. Once JupyterHub opens click to open the file 'FlowFromSnow.ipynb'

  3. 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.

How to Cite

Nassar, A., D. Tarboton, R. Ahmad (2021). FlowFromSnow-Sciunit, HydroShare,

This resource is shared under the Creative Commons Attribution CC BY.


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