Weather-type statistical downscaling for ocean wave climate in the Chinese marginal seas
被引:3
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作者:
Zhao, Guangfeng
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机构:
Qingdao Univ Sci & Technol, Sch Math & Phys, Qingdao, Peoples R China
Chinese Acad Sci, Inst Oceanol, CAS Key Lab Ocean Circulat & Waves, Qingdao, Peoples R ChinaQingdao Univ Sci & Technol, Sch Math & Phys, Qingdao, Peoples R China
Zhao, Guangfeng
[1
,2
]
Li, Delei
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机构:
Chinese Acad Sci, Inst Oceanol, CAS Key Lab Ocean Circulat & Waves, Qingdao, Peoples R ChinaQingdao Univ Sci & Technol, Sch Math & Phys, Qingdao, Peoples R China
Li, Delei
[2
]
Camus, Paula
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机构:
Univ Southampton, Natl Oceanog Ctr, Sch Ocean & Earth Sci, Southampton, EnglandQingdao Univ Sci & Technol, Sch Math & Phys, Qingdao, Peoples R China
Camus, Paula
[3
]
Zhang, Xinli
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机构:
Qingdao Univ Sci & Technol, Sch Math & Phys, Qingdao, Peoples R ChinaQingdao Univ Sci & Technol, Sch Math & Phys, Qingdao, Peoples R China
Zhang, Xinli
[1
]
Qi, Jifeng
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机构:
Chinese Acad Sci, Inst Oceanol, CAS Key Lab Ocean Circulat & Waves, Qingdao, Peoples R ChinaQingdao Univ Sci & Technol, Sch Math & Phys, Qingdao, Peoples R China
Qi, Jifeng
[2
]
Yin, Baoshu
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机构:
Chinese Acad Sci, Inst Oceanol, CAS Key Lab Ocean Circulat & Waves, Qingdao, Peoples R China
Univ Chinese Acad Sci, Beijing, Peoples R China
Chinese Acad Sci, CAS Engn Lab Marine Ranching, Inst Oceanol, Qingdao, Peoples R ChinaQingdao Univ Sci & Technol, Sch Math & Phys, Qingdao, Peoples R China
Yin, Baoshu
[2
,4
,5
]
机构:
[1] Qingdao Univ Sci & Technol, Sch Math & Phys, Qingdao, Peoples R China
[2] Chinese Acad Sci, Inst Oceanol, CAS Key Lab Ocean Circulat & Waves, Qingdao, Peoples R China
A comprehensive understanding of wave characteristics and their variability, based on reliable long-term wave data, is essential in the design, construction, operation and management in offshore and coastal applications. This study aims to downscale multivariate wave data in the Chinese marginal seas at different time scales by employing two weather-type statistical downscaling models. The calibration of both models involves the usage of historical data from ERA5 reanalysis, with sea level pressure and the squared sea level pressure gradient as the predictors and wave parameters as the predictands. The predictor definition considers the swell components in the local wave data. Both models categorize the atmospheric predictors into different weather types using the K-means algorithm (KMA), with and without regression-guided clustering (referred to as WTD-RG and WTD, respectively). Each weather type is associated with sea state parameters. The downscaled wave data from both models are validated against ERA5 data. The results show that both models can generally reproduce the wave statistics for the significant wave height, mean wave direction, mean wave energy flux, and 95th percentile of the significant wave height. However, the WTD-RG model performs better than the WTD model. Additionally, the ERA5 data reveal increasing trends in the mean significant wave height for most areas of the East China Sea and South China Sea and decreasing trends in the Bohai Sea, Yellow Sea, and Beibu Gulf from 1959 to 2021. These patterns are well captured by the WTD-RG model but not by the WTD model.
机构:
Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan, Hubei, Peoples R ChinaWuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan, Hubei, Peoples R China
Chen, J.
Zhang, X. J.
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机构:
ARS, USDA, Grazinglands Res Lab, El Reno, OK USAWuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan, Hubei, Peoples R China
Zhang, X. J.
Li, X.
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机构:
Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan, Hubei, Peoples R ChinaWuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan, Hubei, Peoples R China
机构:
Chinese Acad Sci, Inst Microbiol, State Key Lab Microbial Resources, Beijing, Peoples R ChinaChinese Acad Sci, Inst Microbiol, State Key Lab Microbial Resources, Beijing, Peoples R China
Zheng, Xiaowei
Dai, Xin
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Chinese Acad Sci, Inst Microbiol, State Key Lab Microbial Resources, Beijing, Peoples R ChinaChinese Acad Sci, Inst Microbiol, State Key Lab Microbial Resources, Beijing, Peoples R China
Dai, Xin
Huang, Li
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机构:
Chinese Acad Sci, Inst Microbiol, State Key Lab Microbial Resources, Beijing, Peoples R ChinaChinese Acad Sci, Inst Microbiol, State Key Lab Microbial Resources, Beijing, Peoples R China
机构:
Inteligencia Artificial Tecnol IATECH, Sao Jose Dos Campos, SP, Brazil
Univ Fed Sao Paulo UNIFESP, Hlth Informat Dept, Sao Paulo, Brazil
FCMMG, Postgrad & Res Inst IPG, Belo Horizonte, MG, BrazilUniv Fed Abc, Santo Andre, SP, Brazil
Araujo, Ernesto
Campos Velho, H.
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机构:
INPE, Comp Sci & Appl Math Lab, Sao Jose Dos Campos, BrazilUniv Fed Abc, Santo Andre, SP, Brazil
机构:
Meteo France, Direct Interreg Ocean Indien, F-97490 St Denis De La Reunion, FranceMeteo France, Direct Interreg Ocean Indien, F-97490 St Denis De La Reunion, France
Leroux, Marie-Dominique
Bonnardot, Francois
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机构:
Univ Toulouse, CNRM, Meteo France, CNRS, Toulouse, FranceMeteo France, Direct Interreg Ocean Indien, F-97490 St Denis De La Reunion, France
Bonnardot, Francois
Somot, Samuel
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h-index: 0
机构:
Univ Toulouse, CNRM, Meteo France, CNRS, Toulouse, FranceMeteo France, Direct Interreg Ocean Indien, F-97490 St Denis De La Reunion, France
Somot, Samuel
Alias, Antoinette
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机构:
Univ Toulouse, CNRM, Meteo France, CNRS, Toulouse, FranceMeteo France, Direct Interreg Ocean Indien, F-97490 St Denis De La Reunion, France
Alias, Antoinette
Kotomangazafy, Stephason
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机构:
Direct Gen Meteorol, Antananarivo, MadagascarMeteo France, Direct Interreg Ocean Indien, F-97490 St Denis De La Reunion, France
Kotomangazafy, Stephason
Ridhoine, Abdoul-Oikil Said
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机构:
Agence Natl Aviat Civile & Meteorol ANACM, Moroni, ComorosMeteo France, Direct Interreg Ocean Indien, F-97490 St Denis De La Reunion, France
Ridhoine, Abdoul-Oikil Said
Veerabadren, Philippe
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机构:
Mauritius Meteorol Serv, Vacoas, MauritiusMeteo France, Direct Interreg Ocean Indien, F-97490 St Denis De La Reunion, France
Veerabadren, Philippe
Amelie, Vincent
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机构:Meteo France, Direct Interreg Ocean Indien, F-97490 St Denis De La Reunion, France