Investigation of the Onset, Cessation and Length of the Rainy Season over Ghana

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2015-04-09
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Abstract
This study seeks to investigate the onset, cessation and length of the rainy season using a simulated rainfall data from the fourth generation Regional Climate Model (RegCM4) and measured rainfall data from the Ghana Meteorological Agency (GMet) over Ghana from 1998 to 2012. The results from the RegCM4 was compared with those derived from the measured rainfall data. The results showed that the mean rainfall onset dates for the Forest, Coastal, Transition and Northern zones of the country, from the RegCM4 was calculated to be 31st March, 4th April, 13th April and 2nd May respectively. The GMet measured rainfall values also had the mean rainfall onset dates determined to be 27th March, 27th April, 8th April and 27th April for the Forest, Coastal, Transition and Northern zones. The mean rainfall cessation dates from the RegCM4 was recorded to be 2nd November for the Forest zone, 29th October for the Coastal zone, 15th November for the Transition zone and 20th October for the Northern zone. The mean rainfall cessation dates from the GMet measured rainfall values was also determined to be 16th November for the Forest zone, 3rd November for the Coastal zone, 24th November for the Transitional zone and 9th November for the Northern zone. The average length of the rainy season from the RegCM4 was computed to be about 216 days for the Forest zone, 209 days for the Coastal zone, 216 days for the Transition zone and 171 days for the Northern zone. The GMet rainfall measured data also measured similar average lengths of 234 days for the Forest, 191 days for the Coastal zone, 230 days for the Transition zone and 196 days for the Northern zone. These results may have very useful applications for water resource management and food security in Ghana.
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A thesis submitted to the Department of Physics Kwame Nkrumah University of Science and Technology in partial fulfillment of the requirements for the degree of Master of philosophy in Meteorology and Climate Science, 2014
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