1999
DOI: 10.1017/s1350482799001206
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Estimation of daily rainfall over the upper Nile river basin using a continuously calibrated satellite infrared technique

Abstract: A continuously calibrated infrared (IR) geostationary satellite rainfall estimation technique (CCB4) is introduced, in the context of the Nile River Forecast System, an operational system for hydrological modelling and forecasting. The CCB4 incorporates near‐real‐time rain gauge data to continuously calibrate optimum IR rain/no‐rain thresholds and daily rain rates on a daily time step. The ability of the CCB4 and two comparative techniques to estimate daily rainfall at the regional and pixel scales is assessed… Show more

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Cited by 34 publications
(24 citation statements)
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“…Satellite algorithms using visible and IR techniques provide excellent temporal and spatial sampling from geostationary orbits, but this technique relies on the assumption that correspondences exist between cloud radiances and rain rates. Estimates are subject to threshold biases and contamination by nonraining cirrus (Todd et al 1999). The microwave radiometer affords a more direct inference of precipitation.…”
Section: Datamentioning
confidence: 99%
“…Satellite algorithms using visible and IR techniques provide excellent temporal and spatial sampling from geostationary orbits, but this technique relies on the assumption that correspondences exist between cloud radiances and rain rates. Estimates are subject to threshold biases and contamination by nonraining cirrus (Todd et al 1999). The microwave radiometer affords a more direct inference of precipitation.…”
Section: Datamentioning
confidence: 99%
“…Although the estimation of rainfall based on remote-sensing from satellites has shown some promise in Uganda (Asadullah et al, 2008) and other Nile countries (Todd et al, 1995;Todd 1999) at regional and seasonal scales, significant accuracy issues remain, and ground-gauged observations must be relied upon for most hydrological modelling applications. Hence, modellers rely on infilling sparse and incomplete gauged rainfall to produce spatially and temporally complete data sets.…”
Section: Introductionmentioning
confidence: 99%
“…There have also been many region specific studies of the use of satellite rainfall data, several of these covering the African continent (Todd et al, 1999;Thorne et al, 2001;Grimes and Diop, 2003). However, despite their scientific value, many of these do not satisfy the final two criteria for general application within developing countries with limited resources.…”
Section: Introductionmentioning
confidence: 99%