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.

ABSTRACT:

This resource holds land cover data used in 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 raster map, data, and Python codes used to estimate land cover class changes within the subbasins of the Great Salt Lake Basin. Publicly available remotely sensed data (raster maps) on land cover from the Land Change Monitoring, Assessment, and Projection (LCMAP) (https://eros.usgs.gov/lcmap/apps/data-downloads) was used to estimate changes in land cover. LCMAP is a collection of raster maps produced by the USGS, available annually from 1985 to 2021, covering the contiguous United States. The land cover change study covered the calendar years 2003 to 2021 to fully align with the water years 2004 to 2021, matching the time period used in other studies in the MS thesis. This data was used to analyze the land cover change and transformation within the Great Salt Lake basins to help understand and estimate the impact of land cover change on the water balance in the basin.

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.

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.

ABSTRACT:

This resource contains the environmental data (Stream Temperature) for different monitoring sites of the Logan River Observatory in the SQLite database management system. The monitoring sites with SiteIDs 1,2,3,9 and 10 of the Logan River Observatory are considered for the evaluation and visualization of monthly average stream temperature whose Variable ID is 1.
The python code which is included in this resource is capable to access the database (SQLite) file and this retrieved data can be analyzed to examine the average monthly stream temperature at different monitoring sites of the Logan River Observatory.