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This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. |
| Type: | Resource | |
| Storage: | The size of this resource is 7.1 MB | |
| Created: | Sep 04, 2024 at 4:46 p.m. (UTC) | |
| Last updated: | Mar 13, 2026 at 6:17 p.m. (UTC) (Metadata update) | |
| Published date: | Jan 30, 2025 at 8:05 p.m. (UTC) | |
| DOI: | 10.4211/hs.a01b56b5e05c44cd95088e9a9f7b25d8 | |
| Citation: | See how to cite this resource | |
| Content types: | Single File Content Geographic Feature Content |
| Sharing Status: | Published |
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| Views: | 2158 |
| Downloads: | 162 |
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Abstract
This resource holds data and codes for the hydroclimate analyses reported in in the MS Thesis:
Ghimire, B., (2025), "Investigating Changes in Hydroclimate, Land Cover, and Evapotranspiration across The Great Salt Lake Basin and its Major Subbasins," Civil and Environmental Engineering, Utah State University.
It contains the data and Python codes used to extract hydroclimate variables for the subbasins of the Great Salt Lake Basin. Precipitation, air temperature and evapotranspiration were extracted from ClimateEngine, while streamflow was from the USGS. These hydroclimatic variables were averaged over the water years for the period of 2004 to 2021. This data was used to analyze the water balance and hydroclimatic trends over the river basins that drain to GSL to investigate causes for changes in lake level.
Subject Keywords
Coverage
Spatial
Temporal
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Content
Data Services
Related Resources
| This resource is described by | Ghimire, B., (2025), "Investigating Changes in Hydroclimate, Land Cover, and Evapotranspiration across The Great Salt Lake Basin and its Major Subbasins," MS Thesis, Civil and Environmental Engineering, Utah State University. |
| The content of this resource is derived from | USGS National Water Information System https://waterdata.usgs.gov/nwis |
| The content of this resource is derived from | Model My Watershed https://modelmywatershed.org/ |
| The content of this resource is derived from | Huntington, J. L., Hegewisch, K. C., Daudert, B., Morton, C. G., Abatzoglou, J. T., McEvoy, D. J., & Erickson, T. (2017). Climate Engine: Cloud Computing and Visualization of Climate and Remote Sensing Data for Advanced Natural Resource Monitoring and Process Understanding. Bulletin of the American Meteorological Society, 98(11), 2397–2410. https://doi.org/10.1175/BAMS-D-15-00324.1 |
| Title | Owners | Sharing Status | My Permission |
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| Collection of Great Salt Lake Data | David Tarboton | Public & Shareable | Open Access |
| Investigating Changes In Hydroclimate, Land Cover And Evapotranspiration Across The Great Salt Lake Subbasins | Bhuwan Ghimire | Public & Shareable | Open Access |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| National Science Foundation | HDR Institute: Geospatial Understanding through an Integrative Discovery Environment | 2118329 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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