The hydrometeorology of the Kariba catchment area based on the probability distributions

Show simple item record Muchuru, Shepherd Botai, Mihloti Christina Botai, Joel Ongego Adeola, Abiodun Morakinyo 2015-03-26T09:42:49Z 2015-03-26T09:42:49Z 2015-04
dc.description.abstract In this paper, monthly, maximum seasonal, and maximum annual hydrometeorological (i.e., evaporation, lake water levels, and rainfall) data series from the Kariba catchment area of the Zambezi River basin, Zimbabwe, have been analyzed in order to determine appropriate probability distribution models of the underlying climatology from which the data were generated. In total, 16 probability distributions were considered and the Kolmogorov–Sminorv (KS), Anderson–Darling (AD), and chi-square (x2) goodness-of-fit (GoF) tests were used to evaluate the best-fit probability distribution model for each hydrometeorological data series. A ranking metric that uses the test statistic from the three GoF tests was formulated and used to select the most appropriate probability distribution model capable of reproducing the statistics of the hydrometeorological data series. Results showed that, for each hydrometeorological data series, the best-fit probability distribution models were different for the different time scales, corroborating those reported in the literature. The evaporation data series was best fit by the Pearson system, the Lake Kariba water levels series was best fit by theWeibull family of probability distributions, and the rainfall series was best fit by the Weibull and the generalized Pareto probability distributions. This contribution has potential applications in such areas as simulation of precipitation concentration and distribution and water resources management, particularly in the Kariba catchment area and the larger Zambezi River basin, which is characterized by (i) nonuniform distribution of a network of hydrometeorological stations, (ii) significant data gaps in the existing observations, and (iii) apparent inherent impacts caused by climatic extreme events and their corresponding variability. en_ZA
dc.description.embargo 2015-10-31 en_ZA
dc.description.librarian hb2015 en_ZA
dc.description.uri en_ZA
dc.identifier.citation Muchuru, S, Botai, CM, Botai, JO & Adeola, AM 2015, 'The hydrometeorology of the Kariba catchment area based on the probability distributions', Earth Interactions, vol. 19, no. 4, pp. 1-18. en_ZA
dc.identifier.issn 1087-3562 (online)
dc.identifier.other 10.1175/EI-D-14-0019.1
dc.language.iso en en_ZA
dc.publisher American Meteorological Society en_ZA
dc.rights © 2015 by the American Meteorological Society en_ZA
dc.subject Africa en_ZA
dc.subject Hydrologic models en_ZA
dc.subject Climate variability en_ZA
dc.subject Hydrometeorology en_ZA
dc.subject Kariba catchment area en_ZA
dc.subject Zambezi River basin en_ZA
dc.subject Zimbabwe en_ZA
dc.title The hydrometeorology of the Kariba catchment area based on the probability distributions en_ZA
dc.type Article en_ZA

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