Prediction at Ungauged Catchments through Parameter Optimization and Uncertainty Estimation to Quantify the Regional Water Balance of the Ethiopian Rift Valley Lake Basin

Prediction at Ungauged Catchments through Parameter Optimization and Uncertainty Estimation to Quantify the Regional Water Balance of the Ethiopian Rift Valley Lake Basin

Quantifying uncertainties in water resource prediction in data-scarce regions is essential for resource development. We use globally available datasets of precipitation and potential evapotranspiration for the regionalization of model parameters in the data-scarce regions of Ethiopia. A regional mod...

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Bibliographic Details
Main Authors: Tesfalem Abraham, Yan Liu, Sirak Tekleab, Andreas Hartmann
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Hydrology
Subjects:
data-scarce region
parameter estimation
uncertainties
ungauged catchment
weighted regression
water balance
Online Access:https://www.mdpi.com/2306-5338/9/8/150

Internet

https://www.mdpi.com/2306-5338/9/8/150

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