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| Type: | Resource | |
| Storage: | The size of this resource is 3.6 MB | |
| Created: | Sep 04, 2024 at 6:40 p.m. (UTC) | |
| Last updated: | Mar 14, 2026 at 1:39 a.m. (UTC) (Metadata update) | |
| Published date: | Jan 30, 2025 at 8:07 p.m. (UTC) | |
| DOI: | 10.4211/hs.65d49afe742247a9a3dd5533672ed37a | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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| Views: | 1938 |
| Downloads: | 135 |
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| Comments: | No comments (yet) |
Abstract
This resource holds water budget data over land cover classes used 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 Python code and coordinates of representative points for each land cover class, that were obtained by sampling grid points to sufficiently represents each class. These representative points were used as inputs into the ClimateEngine API to retrieve precipitation, evapotranspiration, daily mean air temperature, and potential evapotranspiration for each land cover class across the Great Salt Lake subbasins. The data for these variables were then averaged over the water years from 2004 to 2021 and are shared in the resource. These data were used to analyze water yield, defined as the difference between precipitation and evapotranspiration, which indicates the amount of water available for streamflow or storage in the basin. Additionally, total evapotranspiration, considered as a surrogate for water use from different land cover classes, was estimated. This analysis helps to understand how various land cover types influence water availability and usage within the basin.
Subject Keywords
Coverage
Spatial
Temporal
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Content
Related Resources
| This resource is described by | This resource is described by Ghimire, B. (2025). "Investigating Changes in Hydroclimate, Land Cover, and Evapotranspiration across The Great Salt Lake (GSL) Basin and its Major Subbasins," Civil and Environmental Engineering, Utah State University. |
| 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 |
| The content of this resource is derived from | Land Change Monitoring, Assessment, and Projection (LCMAP) (https://eros.usgs.gov/lcmap/apps/data-downloads) collection produced by the USGS |
| 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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