Modelling Watershed Sensitivity to Drought

Authors:
Anne LightbodyKazi TamaddunLouis Graup
Owners: Anne LightbodyLouis GraupKazi Tamaddun
  • Contributions
    Joined

Type: Resource
Storage: The size of this resource is 52.4 MB
Created: Jul 19, 2021 at 5:37 p.m.
Last updated: Oct 20, 2023 at 6:21 a.m.
Citation: See how to cite this resource
Sharing Status: Public
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Downloads: 433
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Abstract

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

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
39.4416°
East Longitude
-119.8712°
South Latitude
39.2350°
West Longitude
-120.3203°

Temporal

Start Date: 10/01/2004
End Date: 09/30/2016
Leaflet Map data © OpenStreetMap contributors

Content

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Related Resources

This resource is referenced by Lightbody, A., Tamaddun, K., Graup, L. (2021) Modelling Watershed Sensitivity to Drought. HydroLearn. https://edx.hydrolearn.org/courses/course-v1:UCSB_UNH_UV+HM101+2021_T1/about.
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

Credits

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, http://www.hydroshare.org/resource/011ad5f49dc44e0298651f32034b5c74

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

 http://creativecommons.org/licenses/by/4.0/
CC-BY

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