Articles | Volume 14, issue 3
Atmos. Meas. Tech., 14, 2299–2316, 2021
https://doi.org/10.5194/amt-14-2299-2021
Atmos. Meas. Tech., 14, 2299–2316, 2021
https://doi.org/10.5194/amt-14-2299-2021

Research article 24 Mar 2021

Research article | 24 Mar 2021

Performance evaluation of multiple satellite rainfall products for Dhidhessa River Basin (DRB), Ethiopia

Gizachew Kabite Wedajo et al.

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Cited articles

Abbaspour, K. C.: SWAT-CUP 2012: SWAT Calibration and Uncertainty Programs-A User Manual, Swiss Federal Institute of Aquatic Science and Technology, Eawag, Switzerland, 2015. 
Abbaspour, K. C., Yang, J., Maximov, I., Siber, R., Bogner, K., Mieleitner, J., Zobrist, J., and Srinivasan, R.: Modelling hydrology and water quality in the pre-alpine/alpine watershed using SWAT, J. Hydrol., 333, 413–430, 2007. 
Abera, W., Brocca, L., and Rigon, R.: Comparative evaluation of different satellite rainfall estimation products and bias correction in the Upper Blue Nile (UBN) basin, Atmos. Res., 178–179, 471–483, 2016. 
Ayehu, G. T., Tadesse, T., Gessesse, B., and Dinku, T.: Validation of new satellite rainfall products over the Upper Blue Nile Basin, Ethiopia, Atmos. Meas. Tech., 11, 1921–1936, https://doi.org/10.5194/amt-11-1921-2018, 2018. 
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Short summary
Satellite rainfall estimates (SREs) are alternative data sources for data-scarce basins. However, the accuracy of the products is plagued by multiple sources of errors. Therefore, SREs should be evaluated for particular basins before being used for other applications. The results of the study showed that CHIRPS2 and IMERG6 estimated rainfall and predicted hydrologic simulations well for Dhidhessa River Basin, which shows remote sensing technology could improve hydrologic studies.