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Modelling Watershed Sensitivity to Drought

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Type: Resource
Storage: The size of this resource is 48.9 MB
Created: Jul 19, 2021 at 5:37 p.m.
Last updated: Oct 20, 2023 at 6:21 a.m.
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Sharing Status: Public
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This resource was developed as part of a HydroLearn module of the same name. It is divided into 3 sections that correspond to their respective units in the learning module. The first, Data_Analysis, uses a Jupyter notebook and historical USGS and NOAA data (uploaded by the user) to estimate evapotranspiration using a water balance approach for a small undisturbed watershed and display annual seasonality of precipitation and streamflow. The next, RHESSys_Model introduces the user to RHESSys, an ecohydrologic model, and uses it to conduct a simple sensitivity analysis in the JupyterHub environment. The last, Model_Eval, uses a Jupyter notebook to evaluate RHESSys model output of streamflow in Sagehen Creek against observed streamflow analyzed in the first unit.

Subject Keywords



Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
East Longitude
South Latitude
West Longitude


Start Date:
End Date:


This resource is part of a HydroLearn module that examines historical drought in California watersheds with RHESSys, an ecohydrological model.


The primary audience is advanced undergraduate or beginning graduate students engaged in learning activities for the above HydroLearn module, but it may be of use to anyone who wants a simple Python data analysis or model evaluation 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 CyberGIS-Jupyter for Water and a RHESSys environment, if prompted.

  2. Once JupyterHub opens click to open an .ipynb file.

  3. Follow the instructions in the notebook to conduct analyses.

Related Resources

This resource is referenced by Lightbody, A., Tamaddun, K., Graup, L. (2021) Modelling Watershed Sensitivity to Drought. HydroLearn.
This resource belongs to the following collections:
Title Owners Sharing Status My Permission
Collection of resources that illustrate data processing methods and computational and modeling libraries in HydroShare and linked JupyterHub computing platforms David Tarboton  Public &  Shareable Open Access


Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Science Foundation Collaborative Research: Improving Student Learning in Hydrology & Water Resources Engineering by Enabling the Development, Sharing and Interoperability of Active Learning Resources DUE 1725989

How to Cite

Lightbody, A., K. Tamaddun, L. Graup (2023). Modelling Watershed Sensitivity to Drought, HydroShare,

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


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