1997
DOI: 10.1002/j.1477-8696.1997.tb06311.x
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Satellite‐derived rainstorm distribution as an aid to forecasting African armyworm outbreaks

Abstract: . (1981) The long-range surface wind, even as far as 50km from the coast. mast. Weather, 47,

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Cited by 6 publications
(2 citation statements)
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“…The rainy season occurs from October to April and the cold cloud duration (CCD) profile for that period was used to provide an indication of both the pattern and amount of rainfall over the course of the season. The use of quite detailed temporal and spatial CCD information has proved of great value predicting armyworm outbreaks whose population dynamics are similarly rainfall-driven (Tucker 1997;Holt et al 2000); here it was used more simply, to categorise season type. Originally accessed via the FAO/Artemis project (Hielkema 2008), CCD data, interpreted as rainfall in mm per day, is now freely available at daily resolution (Maidmant et al 2017).…”
Section: A Qualitative Description Of Rainfall In Southern Botswanamentioning
confidence: 99%
“…The rainy season occurs from October to April and the cold cloud duration (CCD) profile for that period was used to provide an indication of both the pattern and amount of rainfall over the course of the season. The use of quite detailed temporal and spatial CCD information has proved of great value predicting armyworm outbreaks whose population dynamics are similarly rainfall-driven (Tucker 1997;Holt et al 2000); here it was used more simply, to categorise season type. Originally accessed via the FAO/Artemis project (Hielkema 2008), CCD data, interpreted as rainfall in mm per day, is now freely available at daily resolution (Maidmant et al 2017).…”
Section: A Qualitative Description Of Rainfall In Southern Botswanamentioning
confidence: 99%
“…It has also been used with other methods, such as that developed by Bristol University (Barrett, 1993). In eastern Africa the TAMSAT method has been used successfully, together with NOAA vegetation index imagery, in Ethiopia to aid food security programmes (Tadesse et al, 1995) and in Kenya and Tanzania for insect-pest forecasting (Tucker, 1997). However, it has not been considered suitable for rainfall estimation in the Kenya highlands because of the occurrence of orographic rainfall and the complexity of the topography.…”
Section: Introductionmentioning
confidence: 99%