Localized wind model of Weibull distribution in Vung Tau, Vietnam

Van Chung Tran; Minh Giam Nguyen; Dinh Duan Ho; Van Hung Nguyen; Huu Huan Nguyen; Minh Thu Phan

doi:10.15625/1859-3097/22492

Author affiliations

Authors

Tran Van Chung Institute of Oceanography, VAST, Vietnam
Nguyen Minh Giam Southern Region Hydrometeorological Center, Ho Chi Minh City, Vietnam
Ho Dinh Duan Ho Chi Minh City Space Technology Application Center, Vietnam National Space Center, VAST, Vietnam
Nguyen Van Hung National Remote Sensing Department, Ministry of Natural Resources and Environment, Hanoi, Vietnam
Nguyen Huu Huan Institute of Oceanography, VAST, Vietnam
Phan Minh Thu Institute of Oceanography, VAST, Vietnam

DOI:

https://doi.org/10.15625/1859-3097/22492

Keywords:

Weibull distribution, scale parameter ‘c’, shape parameter ‘k’, wind rose, statistical analysis, Vung Tau

Abstract

The wind data set of 10 m on the sea surface is provided by Vung Tau Meteorological Station for 2011–2022, with a frequency of 6 h. The purpose of this paper is to find the most effective parameters, that are scale parameter ‘c’ and shape parameter ‘k’ for the Weibull distribution for the wind regime in Vung Tau based on analyzing and comparing the efficiency of ten numerical methods, namely, the empirical method of Justus (EMJ), the empirical method of Lysen (EML), the method of moments (MoM), the graphical method (GM), the Mabchour’s method (MMab), the energy pattern factor method (EPFM), the maximum likelihood method (MLM), the modified maximum likelihood method (MMLM), the equivalent energy method (EEM), and the alternative maximum likelihood method (AMLM). According to the analysis results, the MLM method is best suited for the wind regimes from February to December; MLM and EMJ methods is best suited for January wind regimes; The AMLM, MLM, and EML methods are best suited for the wind regime in December the MLM and EMJ methods are best suited for November. The MMab method could result in inaccurate forecasting of the wind regime in the Vung Tau area.

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