Investigating Changes In Hydroclimate, Land Cover And Evapotranspiration Across The Great Salt Lake Subbasins
Authors: |
|
|
---|---|---|
Owners: |
|
This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. |
Type: | Collection | |
Storage: | The size of this collection is 0 bytes | |
Created: | Sep 04, 2024 at 4:18 p.m. | |
Last updated: | Jan 26, 2025 at 4:24 a.m. | |
Citation: | See how to cite this resource |
Sharing Status: | Public |
---|---|
Views: | 32 |
Downloads: | 0 |
+1 Votes: | Be the first one to this. |
Comments: | No comments (yet) |
Abstract
This collection contains data on hydroclimate, land cover change and water budget 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 (GSL) Basin and its Major Subbasins," Civil and Environmental Engineering, Utah State University.
This study examined hydrologic processes within the river basins that relate to streamflow entering into the GSL, with a focus on land cover and how land cover changes are related to the hydrology and water balance. The data used in this study is organized into three resources listed in this collection that include: (1) water year averaged hydroclimatic data on precipitation, streamflow, air temperature, and evapotranspiration; (2) remotely sensed data on land cover over the Great Salt Lake (GSL) subbasins for the period of the water year 2004 to 2021; and (3) water budget data over land cover classes within the GSL basin. The hydroclimatic data over the GSL subbasins were obtained from the United States Geological Survey (USGS) national water information system (NWIS) and Climate Engine, using their APIs. Climate Engine (Huntington et al., 2017) is an open-access climate cloud-computing platform that provides point and area-averaged time series climatic data for the continental United States. Land cover maps were collected from the Land Change Monitoring, Assessment, and Projection (LCMAP) (https://eros.usgs.gov/lcmap/apps/data-downloads) collection produced by the USGS. These data were used to analyze the water balance, hydroclimatic trends, land cover change, and evapotranspiration over land cover classes within the river basins that drain to GSL to investigate causes for lake-level changes.
Subject Keywords
Coverage
Spatial
Temporal
Start Date: | |
---|---|
End Date: |
Collection Contents
Add | Title | Type | Owners | Sharing Status | Remove |
---|---|---|---|---|---|
Hydroclimate Over the Great Salt Lake Subbasins | Resource | Bhuwan Ghimire | Public & Shareable | ||
Land cover change in the Great Salt Lake basin | Resource | Bhuwan Ghimire | Public & Shareable | ||
Water budget over land cover classes in the Great Salt Lake basin. | Resource | Bhuwan Ghimire | Public & Shareable |
Related Resources
The content of this resource is derived from | USGS National Water Information System https://waterdata.usgs.gov/nwis. |
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. |
Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
---|---|---|
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/
Comments
There are currently no comments
New Comment