The Hydrometeorology of the Kariba Catchment Area Based on the Probability Distributions

Earth Interactions

S.Muchuru¹ 

关键词: Africa;    Hydrologic models;    Climate variability;   

DOI  :  10.1175/EI-D-14-0019.1

学科分类：地球科学(综合)

来源: American Geophysical Union

【 摘 要 】

AbstractIn 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 (χ2) 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 tim...

【 授权许可】

Unknown