Characteristics of the wind regime in Hon Yen island (Phu Yen province) from analysis of NCEP CFSR dataset (1979-2020)

The wind data set of 10 m on the sea surface is provided by meteorological data NCEP CFRS corresponding to 42 years (1979–2020), with hourly frequency. The purpose of this paper is to find the most effective numerical method for the Weibull distribution function for the wind regime in Hon Yen waters based on analyzing and comparing the efficiency of 10 (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 EPFM method is best suited for the wind regimes of January, July and December; MLM method is best suited for February, June, August and September wind regimes; The EML method is best suited for the wind regime in March and October and the EMJ method is best suited for November. The AMLM method often results in inaccurate results in forecasting the wind regime in the Hon Yen area.

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Main Authors: Tran, Van Chung, Ngo, Manh Tien, Cao, Van Nguyen
Format: Journal Contribution biblioteca
Language:Vietnamese
Published: 2021
Subjects:Wind field, Wind rose, Wind probability distribution,
Online Access:http://hdl.handle.net/1834/42027
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spelling dig-aquadocs-1834-420272022-05-31T02:26:39Z Characteristics of the wind regime in Hon Yen island (Phu Yen province) from analysis of NCEP CFSR dataset (1979-2020) Các đặc trưng chế độ gió cho khu vực đảo Hòn Yến (tỉnh Phú Yên) từ phân tích bộ dữ liệu NCEP CFSR (1979-2020) Tran, Van Chung Ngo, Manh Tien Cao, Van Nguyen Wind field Wind rose Wind probability distribution The wind data set of 10 m on the sea surface is provided by meteorological data NCEP CFRS corresponding to 42 years (1979–2020), with hourly frequency. The purpose of this paper is to find the most effective numerical method for the Weibull distribution function for the wind regime in Hon Yen waters based on analyzing and comparing the efficiency of 10 (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 EPFM method is best suited for the wind regimes of January, July and December; MLM method is best suited for February, June, August and September wind regimes; The EML method is best suited for the wind regime in March and October and the EMJ method is best suited for November. The AMLM method often results in inaccurate results in forecasting the wind regime in the Hon Yen area. Published Refereed 2022-05-30T04:14:50Z 2022-05-30T04:14:50Z 2021 Journal Contribution 1859-3097 http://hdl.handle.net/1834/42027 vi http://113.160.249.209:8080/xmlui/handle/123456789/20592 11-26 Viet Nam Phu Yen province
institution UNESCO
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-aquadocs
tag biblioteca
region Europa del Oeste
libraryname Repositorio AQUADOCS
language Vietnamese
topic Wind field
Wind rose
Wind probability distribution
Wind field
Wind rose
Wind probability distribution
spellingShingle Wind field
Wind rose
Wind probability distribution
Wind field
Wind rose
Wind probability distribution
Tran, Van Chung
Ngo, Manh Tien
Cao, Van Nguyen
Characteristics of the wind regime in Hon Yen island (Phu Yen province) from analysis of NCEP CFSR dataset (1979-2020)
description The wind data set of 10 m on the sea surface is provided by meteorological data NCEP CFRS corresponding to 42 years (1979–2020), with hourly frequency. The purpose of this paper is to find the most effective numerical method for the Weibull distribution function for the wind regime in Hon Yen waters based on analyzing and comparing the efficiency of 10 (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 EPFM method is best suited for the wind regimes of January, July and December; MLM method is best suited for February, June, August and September wind regimes; The EML method is best suited for the wind regime in March and October and the EMJ method is best suited for November. The AMLM method often results in inaccurate results in forecasting the wind regime in the Hon Yen area.
format Journal Contribution
topic_facet Wind field
Wind rose
Wind probability distribution
author Tran, Van Chung
Ngo, Manh Tien
Cao, Van Nguyen
author_facet Tran, Van Chung
Ngo, Manh Tien
Cao, Van Nguyen
author_sort Tran, Van Chung
title Characteristics of the wind regime in Hon Yen island (Phu Yen province) from analysis of NCEP CFSR dataset (1979-2020)
title_short Characteristics of the wind regime in Hon Yen island (Phu Yen province) from analysis of NCEP CFSR dataset (1979-2020)
title_full Characteristics of the wind regime in Hon Yen island (Phu Yen province) from analysis of NCEP CFSR dataset (1979-2020)
title_fullStr Characteristics of the wind regime in Hon Yen island (Phu Yen province) from analysis of NCEP CFSR dataset (1979-2020)
title_full_unstemmed Characteristics of the wind regime in Hon Yen island (Phu Yen province) from analysis of NCEP CFSR dataset (1979-2020)
title_sort characteristics of the wind regime in hon yen island (phu yen province) from analysis of ncep cfsr dataset (1979-2020)
publishDate 2021
url http://hdl.handle.net/1834/42027
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AT caovannguyen characteristicsofthewindregimeinhonyenislandphuyenprovincefromanalysisofncepcfsrdataset19792020
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