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Evaluation of runoff estimation from GRACE coupled with different meteorological gridded products over the Upper Blue Nile Basin

Authors :
Khaled Alghafli
Awad M. Ali
Xiaogang Shi
William Sloan
Ali A.A. Obeid
Mohammad Shamsudduha
Source :
Journal of Hydrology: Regional Studies, Vol 50, Iss , Pp 101545- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Study Region: The Upper Blue Nile (UBN) basin, Ethiopia. Study Focus: In efforts to accurately close the water balance equation for the UBN basin using remote sensing products, river runoff is calculated as a residual from the water balance equation by incorporating Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage (TWS) and remote sensing products for precipitation (P) and evapotranspiration (ET). The calculated river runoff is then compared to the gauge records located at the basin’s outlet. The best performing combination among the various combinations is chosen by aggregating rankings attributed to both error and linear fit metrics. The errors associated with each satellite product were assessed by forcing the In-Situ runoff to estimate the P, ET, and TWS. This methodology helps in addressing the uncertainty linked with each hydrological component. New Hydrological Insights for the Region: The best P, ET, and TWS combination performance products to estimate runoff are SM2RAIN-CCI, GLEAM, and GRACE Spherical Harmonic products, respectively. The statistical results for the six metrics are R2 = 0.7, slope = 1.6, y-intercept = - 0.5 cm, RMSE = 3 cm, MAE = 2.8 cm, and PBIAS = 36%. The uncertainty from each hydrological component was quantified and showed that improving the accuracy of P and ET estimation is a crucial step to successfully close the water balance.

Details

Language :
English
ISSN :
22145818
Volume :
50
Issue :
101545-
Database :
Directory of Open Access Journals
Journal :
Journal of Hydrology: Regional Studies
Publication Type :
Academic Journal
Accession number :
edsdoj.6d899db4e383409496c44b99b7af97a3
Document Type :
article
Full Text :
https://doi.org/10.1016/j.ejrh.2023.101545