10 Nov 2020
10 Nov 2020
Performance evaluation of multiple satellite rainfall products for Dhidhessa River Basin (DRB), Ethiopia
- 1Department of Earth Sciences, Wollega University, P.O.Box 395, Nekemte, Ethiopia
- 2Department of Remote Sensing, Entoto Observatory Research Center, Ethiopia Space Science Technology Institute, P.O.Box 33679, Addis Ababa, Ethiopia
- 3Department of Civil and Environmental Engineering, California Polytechnic State University, San Luis Obispo, California, 93407
- 4Department of Geography and Environmental Studies, Kotebe Metropolitan University, Addis Ababa, Ethiopia
- 1Department of Earth Sciences, Wollega University, P.O.Box 395, Nekemte, Ethiopia
- 2Department of Remote Sensing, Entoto Observatory Research Center, Ethiopia Space Science Technology Institute, P.O.Box 33679, Addis Ababa, Ethiopia
- 3Department of Civil and Environmental Engineering, California Polytechnic State University, San Luis Obispo, California, 93407
- 4Department of Geography and Environmental Studies, Kotebe Metropolitan University, Addis Ababa, Ethiopia
Abstract. Precipitation is a crucial driver of hydrological processes. Ironically, reliable characterization of its spatiotemporal variability is challenging. Ground-based rainfall measurements using rain gauges can be more accurate. However, installing a dense gauging network to capture rainfall variability can be impractical. Satellite-based rainfall estimates (SREs) can be good alternatives, especially for data-scarce basins like in Ethiopia. However, SREs rainfall is plagued with uncertainties arising from many sources. The objective of this study was to evaluate the performance of the latest versions of several SREs products (i.e., CHIRPS2, IMERG6, TAMSAT3, and 3B42/3) for the Dhidhessa River Basin (DRB). Both statistical and hydrologic modelling approaches were used for performance evaluation. The Soil and Water Analysis Tool (SWAT) was used for hydrological simulations. The results showed that whereas all four SREs products are promising to estimate and detect rainfall for the DRB, the CHIRPS2 dataset performed the best at annual, seasonal, and monthly timescales. The hydrologic simulation-based evaluation showed that SWAT's calibration results are sensitive to the rainfall dataset. The hydrologic response of the basin is found to be dominated by the subsurface processes, primarily by the groundwater flux. Overall, the study showed that both CHIRPS2 and IMERG6 products can be reliable rainfall data sources for hydrologic analysis of the Dhidhessa River Basin.
Gizachew Kabite Wedajo et al.


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RC1: 'Interactive comment on “Performance evaluation of multiple satellite rainfall products for Dhidhessa River Basin (DRB), Ethiopia” by Wedajo et al.', Anonymous Referee #1, 07 Dec 2020
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AC1: 'Responses to reference 1', Gizachew Wedajo, 21 Dec 2020
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AC1: 'Responses to reference 1', Gizachew Wedajo, 21 Dec 2020
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RC2: 'Comment on paper by Wedajo et al.', Anonymous Referee #2, 07 Dec 2020
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AC2: 'Responses to comments from reference 2', Gizachew Wedajo, 21 Dec 2020
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AC2: 'Responses to comments from reference 2', Gizachew Wedajo, 21 Dec 2020
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EC1: 'Editor comment', Marloes Gutenstein-Penning de Vries, 18 Jan 2021


-
RC1: 'Interactive comment on “Performance evaluation of multiple satellite rainfall products for Dhidhessa River Basin (DRB), Ethiopia” by Wedajo et al.', Anonymous Referee #1, 07 Dec 2020
-
AC1: 'Responses to reference 1', Gizachew Wedajo, 21 Dec 2020
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AC1: 'Responses to reference 1', Gizachew Wedajo, 21 Dec 2020
-
RC2: 'Comment on paper by Wedajo et al.', Anonymous Referee #2, 07 Dec 2020
-
AC2: 'Responses to comments from reference 2', Gizachew Wedajo, 21 Dec 2020
-
AC2: 'Responses to comments from reference 2', Gizachew Wedajo, 21 Dec 2020
-
EC1: 'Editor comment', Marloes Gutenstein-Penning de Vries, 18 Jan 2021
Gizachew Kabite Wedajo et al.
Gizachew Kabite Wedajo et al.
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