Reza Morovati
Utah State University | PhD student(Civil and Environmental Engineering)
Recent Activity
ABSTRACT:
This study presents a comprehensive comparison of gridded datasets for the Great Salt Lake (GSL) basin, focusing on precipitation and temperature as the main inputs for hydrological balances. The evaluated gridded datasets include PRISM, DAYMET, GRIDMET, NLDAS-2, and CONUS404, with in-situ data used for assessing alignment and accuracy. Key metrics such as Nash-Sutcliffe Efficiency (NSE), Kling-Gupta Efficiency (KGE), Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and Correlation Coefficient (CC) were employed to evaluate gridded dataset performance. Spatial and temporal accuracy analyses were conducted across different GSL basin regions to understand variations in accuracy. DAYMET emerged as the leading dataset for precipitation across most metrics, demonstrating consistent performance. For temperature, GRIDMET and PRISM ranked higher, indicating better representation of temperature patterns in the GSL basin. Spatial analysis revealed variability in accuracy for both temperature and precipitation data, emphasizing the importance of selecting suitable datasets for different regions to enhance overall accuracy. The insights from this study can inform environmental forecasting and water resource management in the GSL basin, assisting researchers and decision-makers in choosing reliable gridded datasets for hydrological studies.
ABSTRACT:
This study investigates the water storage dynamics in the Weber River Basin, one of the subbasins within the Great Salt Lake Basin, using historical reservoir data sourced from the United States Bureau of Reclamation (USBR) and the United States Department of Agriculture (USDA). The collected data provides a detailed look at reservoir storage capacities and fluctuations, which could serve as a valuable resource for conducting water balance analyses.
The consolidation of USBR and USDA data presents a unique opportunity for researchers interested in identifying water storage deficiencies and potential losses in the subbasin. Such analyses are essential for developing effective water management strategies and ensuring the sustainable use of water resources in the region. This study not only sheds light on current water storage trends but also establishes a critical resource base that can be utilized by other researchers to further explore water balance dynamics in the Weber River Basin.
ABSTRACT:
This resource aggregates data on the reservoirs and time series of reservoir storage within the Great Salt Lake Basin. It has been assembled by combining information from the United States Department of Agriculture (USDA) and the United States Bureau of Reclamation (USBR).
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Created: Jan. 2, 2024, 10:47 p.m.
Authors: Tarboton, David · Morovati, Reza
ABSTRACT:
This resource aggregates data on the reservoirs and time series of reservoir storage within the Great Salt Lake Basin. It has been assembled by combining information from the United States Department of Agriculture (USDA) and the United States Bureau of Reclamation (USBR).
Created: April 18, 2024, 2:05 a.m.
Authors: Morovati, Reza
ABSTRACT:
This study investigates the water storage dynamics in the Weber River Basin, one of the subbasins within the Great Salt Lake Basin, using historical reservoir data sourced from the United States Bureau of Reclamation (USBR) and the United States Department of Agriculture (USDA). The collected data provides a detailed look at reservoir storage capacities and fluctuations, which could serve as a valuable resource for conducting water balance analyses.
The consolidation of USBR and USDA data presents a unique opportunity for researchers interested in identifying water storage deficiencies and potential losses in the subbasin. Such analyses are essential for developing effective water management strategies and ensuring the sustainable use of water resources in the region. This study not only sheds light on current water storage trends but also establishes a critical resource base that can be utilized by other researchers to further explore water balance dynamics in the Weber River Basin.
Created: April 20, 2024, 5:44 a.m.
Authors: Morovati, Reza · Ebrahimi, Ehsan · Kahrizi, Ehsan · Claure, Pamela
ABSTRACT:
This study presents a comprehensive comparison of gridded datasets for the Great Salt Lake (GSL) basin, focusing on precipitation and temperature as the main inputs for hydrological balances. The evaluated gridded datasets include PRISM, DAYMET, GRIDMET, NLDAS-2, and CONUS404, with in-situ data used for assessing alignment and accuracy. Key metrics such as Nash-Sutcliffe Efficiency (NSE), Kling-Gupta Efficiency (KGE), Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and Correlation Coefficient (CC) were employed to evaluate gridded dataset performance. Spatial and temporal accuracy analyses were conducted across different GSL basin regions to understand variations in accuracy. DAYMET emerged as the leading dataset for precipitation across most metrics, demonstrating consistent performance. For temperature, GRIDMET and PRISM ranked higher, indicating better representation of temperature patterns in the GSL basin. Spatial analysis revealed variability in accuracy for both temperature and precipitation data, emphasizing the importance of selecting suitable datasets for different regions to enhance overall accuracy. The insights from this study can inform environmental forecasting and water resource management in the GSL basin, assisting researchers and decision-makers in choosing reliable gridded datasets for hydrological studies.