Abstract
Daily precipitation from 20 years of record from highland and central plains sites of Uganda were used to analyze the ability of the CLIGEN weather generator to predict seasonal wet and dry spell lengths. Results indicate that the predicted wet and dry spell probability density functions were not significantly different (P = 0.05) from the observed data for the central plains, lower elevation site. CLIGEN-predicted distributions were found to be significantly different (P = 0.05) for 50% of the probability density functions estimated for the high-elevation site. The monthly precipitation totals and probability estimates were not significantly different (P = 0.05), but CLIGEN appears to have a problem in predicting the precipitation pattern within a month for the high-frequency, low-intensity site.
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