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SUMMA Simulations using CAMELS Datasets on CyberGIS-Jupyter for Water

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Type:	Resource
Storage:	The size of this resource is 8.8 MB
Created:	Mar 04, 2021 at 5:49 p.m.
Last updated:	May 05, 2021 at 8:33 p.m.
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Sharing Status:	Public
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Downloads:	59
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Abstract

This resource, configured for execution in connected JupyterHub compute platforms, helps the modelers to reproduce and build on the results from the paper (Van Beusekom et al., 2021). For this purpose, three different Jupyter notebooks are developed and included in this resource which explore the paper goal for one example CAMELS site and a pre-selected period of 18-month simulation to demonstrate the capabilities of the notebooks. The first notebook processes the raw input data from CAMELS dataset to be used as input for SUMMA model. The second notebook executes SUMMA model using the input data from first notebook using original and altered forcing, as per further described in the notebook. Finally, the third notebook utilizes the outputs from notebook 2 and visualizes the sensitivity of SUMMA model outputs using Kling-Gupta Efficiency (KGE). More information about each Jupyter notebook and a step-by-step instructions on how to run the notebooks can be found in the Readme.md fie included in this resource. Using these three notebooks, modelers can apply the methodology mentioned above to any (one to all) of the 671 CAMELS basins and simulation periods of their choice.

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Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

Place/Area Name:

USA

North Latitude

48.8675°

East Longitude

-70.4626°

South Latitude

30.2248°

West Longitude

-124.6032°

Temporal

Start Date:
End Date:

Content

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Related Resources

This resource is referenced by	Van Beusekom, A., Hay, L, (in no particular order -->) Nijssen, B., Bennett, A., Tarboton, D., Wood, A., Choi, Y., Li, Z., Maghami, I., Clark, M., Goodall, J.L. “Hydrologic model sensitivity to temporal disaggregation of meteorological forcing data across CONUS” (In preparation for …)
The content of this resource is derived from	https://www.hydroshare.org/resource/a28685d2dd584fe5885fc368cb76ff2a/

Credits

Funding Agencies

This resource was created using funding from the following sources:

Agency Name	Award Title	Award Number
National Science Foundation	Collaborative Research: SI2-SSI: Cyberinfrastructure for Advancing Hydrologic Knowledge through Collaborative Integration of Data Science, Modeling and Analysis	OAC-1664061, OAC-1664018, OAC-1664119

How to Cite

Choi, Y., A. Van Beusekom, Z. (. Li, B. Nijssen, L. Hay, A. Bennett, D. Tarboton, I. Maghami, J. Goodall, M. P. Clark (2021). SUMMA Simulations using CAMELS Datasets on CyberGIS-Jupyter for Water, HydroShare, http://www.hydroshare.org/resource/dc273a1d6c32461fa2e853e048500c34

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

http://creativecommons.org/licenses/by/4.0/

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