Availability of reliable, timely and accurate rainfall data is constraining the establishment of flood forecasting and early warning systems in many parts of Africa. We evaluated the potential of satellite and weather forecast data as input to a parsimonious flood forecasting model to provide inf...
Haile, Alemseged Tamiru
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Tefera, F.T.
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Rientjes, T.H.M.
,
[Flood forecasting in Niger-Benue basin using satellite and quantitative precipitation forecast data]
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Flood forecasting in Niger-Benue basin using satellite and quantitative precipitation forecast data
Satellite rainfall estimates (SREs) are prone to bias as they are indirect derivatives of the visible, infrared, and/or microwave cloud properties, and hence SREs need correction. We evaluate the influence of elevation and distance from large-scale open water bodies on bias for Climate Prediction...
Gumindoga, W.
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Rientjes, T.H.M.
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Haile, Alemseged Tamiru
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Makurira, H.
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Reggiani, P.
,
[Performance of bias-correction schemes for CMORPH rainfall estimates in the Zambezi River Basin]
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Performance of bias-correction schemes for CMORPH rainfall estimates in the Zambezi River Basin
With the advances in remote sensing technology, satellite-based rainfall estimates are gaining attraction in the eld of hydrology, particularly in rainfall-runoff modeling. Since estimates are affected by errors correction is required. In this study, we tested the high resolution National Oceani...
Bhatti, H.A.
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Rientjes, T.H.M.
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Haile, Alemseged Tamiru
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Habib, E.
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Verhoef, W.
,
[Evaluation of bias correction method for satellite-based rainfall data]
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Evaluation of bias correction method for satellite-based rainfall data