A Study on Monthly Maximum Wind Speed Probability Distributions at Hazrat Shahajalal and MAG Osmani International Airport of Bangladesh. Hossain, M., M., Abdulla, F., & Kumar Majumder, A. Jahangirnagar University Journal of Science, 39(2):11-22, 2016.
Paper abstract bibtex Wind speed is a fundamental atmospheric rate. Wind speed is caused by air moving from high pressure to low pressure, usually due to changes in temperature. Probability density functions (PDFs) have been used in literature to describe wind speed characteristics which include Weibull, Rayleigh, bimodal Weibull, Lognormal, Gamma and so on. This paper considers a data set on maximum sustained wind speed (Km/h) at Hazrat Shahjalal International Airport and Osmani International Airport, Bangladesh over the period January, 1982 to June, 2015. This paper attempts to determine the best fit wind speed distribution with statistical properties of the monthly maximum sustained wind speed (Km/h) of the Hazrat Shahjalal International Airport and Osmani International Airport. The higher value of 2 R and the lower values of K-S error, RMSE and Chi-square error indicate that GEV distribution is more accurate than other PDFs in modeling wind speeds of both locations.
@article{
title = {A Study on Monthly Maximum Wind Speed Probability Distributions at Hazrat Shahajalal and MAG Osmani International Airport of Bangladesh},
type = {article},
year = {2016},
keywords = {Bangladesh,Model selection,Probability density functions,Wind speed,likelihood method},
pages = {11-22},
volume = {39},
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last_modified = {2022-05-06T21:48:19.699Z},
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abstract = {Wind speed is a fundamental atmospheric rate. Wind speed is caused by air moving from high pressure to low pressure, usually due to changes in temperature. Probability density functions (PDFs) have been used in literature to describe wind speed characteristics which include Weibull, Rayleigh, bimodal Weibull, Lognormal, Gamma and so on. This paper considers a data set on maximum sustained wind speed (Km/h) at Hazrat Shahjalal International Airport and Osmani International Airport, Bangladesh over the period January, 1982 to June, 2015. This paper attempts to determine the best fit wind speed distribution with statistical properties of the monthly maximum sustained wind speed (Km/h) of the Hazrat Shahjalal International Airport and Osmani International Airport. The higher value of 2 R and the lower values of K-S error, RMSE and Chi-square error indicate that GEV distribution is more accurate than other PDFs in modeling wind speeds of both locations.},
bibtype = {article},
author = {Hossain, Md Moyazzem and Abdulla, Faruq and Kumar Majumder, Ajit},
journal = {Jahangirnagar University Journal of Science},
number = {2}
}
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