Long-Term Variation of the Wave Power Density in the South China Sea Over the Past 28 Years
Based on 28 years of hindcast data, this paper describes in detail the long-term variation trend of wave power density in the South China Sea. WAVEWATCH-III (WW3), the third generation wave computing model, which plays an important role in wave prediction. WW3 was used for inverse calculation of wav...
Main Authors: | , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9044748/ |
id |
doaj-781443abcc6a4eb89ef726654005590c |
---|---|
record_format |
Article |
spelling |
doaj-781443abcc6a4eb89ef726654005590c2021-03-30T04:36:33ZengIEEEIEEE Access2169-35362020-01-01812849812850810.1109/ACCESS.2020.29828539044748Long-Term Variation of the Wave Power Density in the South China Sea Over the Past 28 YearsShaobo Yang0https://orcid.org/0000-0002-9260-1836Jucheng Zhuang1https://orcid.org/0000-0003-1663-377XLintong Xi2https://orcid.org/0000-0001-9953-9038Zegui Deng3https://orcid.org/0000-0002-5484-7499Chao Zhan4https://orcid.org/0000-0003-4907-381XChongwei Zheng5https://orcid.org/0000-0002-1156-0201Xingfei Li6https://orcid.org/0000-0003-1716-1399Hongyu Li7https://orcid.org/0000-0003-1083-8387Coast Research Institute, Ludong University, Yantai, ChinaState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, ChinaState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, ChinaState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, ChinaCoast Research Institute, Ludong University, Yantai, ChinaCoast Research Institute, Ludong University, Yantai, ChinaState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, ChinaPilot National Laboratory for Marine Science and Technology, Qingdao, ChinaBased on 28 years of hindcast data, this paper describes in detail the long-term variation trend of wave power density in the South China Sea. WAVEWATCH-III (WW3), the third generation wave computing model, which plays an important role in wave prediction. WW3 was used for inverse calculation of wave parameters, with spatial resolution of 0.25° × 0.25° and time resolution of 6h. The validity of the data was verified by three typhoon processes and the significant wave height data of the satellite altimeter in 2010. According to 28-year(1990-2017) hindcast data set, the author respectively mapped the South China Sea mean monthly, seasonal, annual wave power density (WPD) and the change trend diagram, including the long-term trend of WPD Mann-Kendall (MK) test, come the following conclusions: (1) Influencing the area WPD change trend of the dominant increasing season is winter (DJF), in which season average growth of WPD is about 1kW/m, and the largest waters is closed to 3kW/m. (2)The dominant growing month for WPD is in December, by compared with the before and next month in the largest growing sea area, it shows an increase and decrease trend of 10kW/m and 20kW/m respectively. (3)MK test results indicate that the long-term change of WPD keep on an increasing trend, but it is not significant, among which WPD had an increased mutation in 2000. (4)The dominant sea area is around Luzon Strait-Taiwan Strait- D.S Islands (116°E, 21°N). The average growth of WPD among these area in 28 years are about 0.15-0.25(kW/m)/yr.https://ieeexplore.ieee.org/document/9044748/South China Seawave power densitylong-term change trenddominant seasondominant area |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Shaobo Yang Jucheng Zhuang Lintong Xi Zegui Deng Chao Zhan Chongwei Zheng Xingfei Li Hongyu Li |
spellingShingle |
Shaobo Yang Jucheng Zhuang Lintong Xi Zegui Deng Chao Zhan Chongwei Zheng Xingfei Li Hongyu Li Long-Term Variation of the Wave Power Density in the South China Sea Over the Past 28 Years IEEE Access South China Sea wave power density long-term change trend dominant season dominant area |
author_facet |
Shaobo Yang Jucheng Zhuang Lintong Xi Zegui Deng Chao Zhan Chongwei Zheng Xingfei Li Hongyu Li |
author_sort |
Shaobo Yang |
title |
Long-Term Variation of the Wave Power Density in the South China Sea Over the Past 28 Years |
title_short |
Long-Term Variation of the Wave Power Density in the South China Sea Over the Past 28 Years |
title_full |
Long-Term Variation of the Wave Power Density in the South China Sea Over the Past 28 Years |
title_fullStr |
Long-Term Variation of the Wave Power Density in the South China Sea Over the Past 28 Years |
title_full_unstemmed |
Long-Term Variation of the Wave Power Density in the South China Sea Over the Past 28 Years |
title_sort |
long-term variation of the wave power density in the south china sea over the past 28 years |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2020-01-01 |
description |
Based on 28 years of hindcast data, this paper describes in detail the long-term variation trend of wave power density in the South China Sea. WAVEWATCH-III (WW3), the third generation wave computing model, which plays an important role in wave prediction. WW3 was used for inverse calculation of wave parameters, with spatial resolution of 0.25° × 0.25° and time resolution of 6h. The validity of the data was verified by three typhoon processes and the significant wave height data of the satellite altimeter in 2010. According to 28-year(1990-2017) hindcast data set, the author respectively mapped the South China Sea mean monthly, seasonal, annual wave power density (WPD) and the change trend diagram, including the long-term trend of WPD Mann-Kendall (MK) test, come the following conclusions: (1) Influencing the area WPD change trend of the dominant increasing season is winter (DJF), in which season average growth of WPD is about 1kW/m, and the largest waters is closed to 3kW/m. (2)The dominant growing month for WPD is in December, by compared with the before and next month in the largest growing sea area, it shows an increase and decrease trend of 10kW/m and 20kW/m respectively. (3)MK test results indicate that the long-term change of WPD keep on an increasing trend, but it is not significant, among which WPD had an increased mutation in 2000. (4)The dominant sea area is around Luzon Strait-Taiwan Strait- D.S Islands (116°E, 21°N). The average growth of WPD among these area in 28 years are about 0.15-0.25(kW/m)/yr. |
topic |
South China Sea wave power density long-term change trend dominant season dominant area |
url |
https://ieeexplore.ieee.org/document/9044748/ |
work_keys_str_mv |
AT shaoboyang longtermvariationofthewavepowerdensityinthesouthchinaseaoverthepast28years AT juchengzhuang longtermvariationofthewavepowerdensityinthesouthchinaseaoverthepast28years AT lintongxi longtermvariationofthewavepowerdensityinthesouthchinaseaoverthepast28years AT zeguideng longtermvariationofthewavepowerdensityinthesouthchinaseaoverthepast28years AT chaozhan longtermvariationofthewavepowerdensityinthesouthchinaseaoverthepast28years AT chongweizheng longtermvariationofthewavepowerdensityinthesouthchinaseaoverthepast28years AT xingfeili longtermvariationofthewavepowerdensityinthesouthchinaseaoverthepast28years AT hongyuli longtermvariationofthewavepowerdensityinthesouthchinaseaoverthepast28years |
_version_ |
1724181552834805760 |