Analysis of Maximum Wind Speed in Iraq Using Nakagami Distribution
DOI:
https://doi.org/10.22399/ijcesen.900Keywords:
Probability distribution, Nakagami distribution, Max Wind speed, Statistical distributions, Time seriesAbstract
The assessment of the frequency of strongest gusts is a vital component in meteorological and climatological investigations with diverse objectives. this research analyzes the frequencies of maximum wind speed using the dataset of three selected cities Baghdad, Arbil, and Basrah in Iraq. Fitting the maximum monthly wind speed data from each city with Weibull, Gumbel, Normal, and Nakagami distributions, the parameters of these distributions are estimated through the method of maximum likelihood. Upon thorough examination of the Akaike information criterion (AIC), the most suitable distribution is selected. After all results done, Nakagami performance stood out amongst other distributions thanks to its thorough analysis and detailed graphic diagrams, making it a viable option for making decisions in different urban areas
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