SUMMA Simulations using CAMELS Datasets for HPC use with CyberGIS-Jupyter for Water

Authors:
Young-Don ChoiAshley Van BeusekomZhiyu/Drew LiBart NijssenLauren HayAndrew BennettDavid TarbotonIman MaghamiJonathan GoodallMartyn P. Clark
Owners: Young-Don ChoiZhiyu/Drew LiAshley Van BeusekomIman MaghamiAndrew Bennett
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Type: Resource
Storage: The size of this resource is 1.6 MB
Created: Jan 10, 2021 at 12:33 a.m.
Last updated: Feb 23, 2022 at 5:15 a.m.
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Sharing Status: Public
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Abstract

This resource, configured for execution in connected JupyterHub compute platforms using the CyberGIS-Jupyter for Water (CJW) environment's supported High-Performance Computing (HPC) resource (XSEDE Comet) through CyberGIS-Compute Service, 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 utilizes the CJW environment's supported HPC resource (XSEDE Comet) through CyberGIS-Compute Service to executes SUMMA model. This notebook uses 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. As this resource uses HPC, it enables a high-speed running of simulations which makes it suitable for larger simulations (even as large as the entire 671 CAMELS sites and the whole 60-month simulation period used in the paper) practical and much faster than when no HPC is used.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
USA
North Latitude
49.1506°
East Longitude
-75.6774°
South Latitude
28.6103°
West Longitude
-123.4899°

Temporal

Start Date: 01/01/1980
End Date: 12/31/2018
Leaflet Map data © OpenStreetMap contributors

Content

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Related Resources

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 (2022). SUMMA Simulations using CAMELS Datasets for HPC use with CyberGIS-Jupyter for Water, HydroShare, http://www.hydroshare.org/resource/03dc01d36f0547f5945d93d2c47b48cc

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

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

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