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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Format: | Journal Contribution biblioteca |
Language: | Vietnamese |
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2021
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Subjects: | Wind field, Wind rose, Wind probability distribution, |
Online Access: | http://hdl.handle.net/1834/42027 |
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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 |
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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) |
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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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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 |
work_keys_str_mv |
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