Mapping future offshore wind resources in the South China Sea under climate change by regional climate modeling
被引:4
|
作者:
He, J. Y.
论文数: 0引用数: 0
h-index: 0
机构:
City Univ Hong Kong, Dept Architecture & Civil Engn, Hong Kong, Peoples R China
City Univ Hong Kong, Shenzhen Res Inst, Architecture & Civil Engn Res Ctr, Shenzhen, Peoples R ChinaCity Univ Hong Kong, Dept Architecture & Civil Engn, Hong Kong, Peoples R China
He, J. Y.
[1
,2
]
Chan, P. W.
论文数: 0引用数: 0
h-index: 0
机构:
Hong Kong Observ, Kowloon, Hong Kong, Peoples R ChinaCity Univ Hong Kong, Dept Architecture & Civil Engn, Hong Kong, Peoples R China
Chan, P. W.
[3
]
Li, Q. S.
论文数: 0引用数: 0
h-index: 0
机构:
City Univ Hong Kong, Dept Architecture & Civil Engn, Hong Kong, Peoples R China
City Univ Hong Kong, Shenzhen Res Inst, Architecture & Civil Engn Res Ctr, Shenzhen, Peoples R ChinaCity Univ Hong Kong, Dept Architecture & Civil Engn, Hong Kong, Peoples R China
Li, Q. S.
[1
,2
]
Tong, H. W.
论文数: 0引用数: 0
h-index: 0
机构:
Hong Kong Observ, Kowloon, Hong Kong, Peoples R ChinaCity Univ Hong Kong, Dept Architecture & Civil Engn, Hong Kong, Peoples R China
Tong, H. W.
[3
]
机构:
[1] City Univ Hong Kong, Dept Architecture & Civil Engn, Hong Kong, Peoples R China
[2] City Univ Hong Kong, Shenzhen Res Inst, Architecture & Civil Engn Res Ctr, Shenzhen, Peoples R China
[3] Hong Kong Observ, Kowloon, Hong Kong, Peoples R China
Cost-effective deployment of wind energy systems benefits from a thorough understanding of wind resources. Therefore, it is imperative to figure out how the spatiotemporal patterns of wind resources will evolve in a warmer future world. Based on a regional climate model system named RegCM4.7, this study investigates the future offshore wind resources under climate change in a tropical ocean, namely the South China Sea (SCS). First, 25-km-resolution wind field information over the SCS is retrieved from a regional climate model driven by 22 global climate models. Then, the simulated wind fields are validated against the reanalysis dataset ERA5 and the Cross-Calibrated Multi-Platform satellite dataset. Subsequently, the spatial distribution and temporal variation of wind resources under climate change are comprehensively assessed, and the inter-annual and intra-annual wind resource variability is quantified by the robust coefficient of determination. Last, the significance, robustness, and uncertainty of climate change signals are evaluated. It is projected that the wind power density will increase by 10-20 % in the northern SCS but decrease by 10-30 % in the southern SCS in 2081-2100 (compared to 1985-2004) under the Representative Concentration Pathway 8.5.
机构:
International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing
Beijing Enterprises Clean Energy Group Limited, BeijingInternational Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing
Zhang S.
Li X.
论文数: 0引用数: 0
h-index: 0
机构:
International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, BeijingInternational Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing
机构:
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R ChinaChinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R China
Xu, Liangtao
Cao, Xi
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Inst Atmospher Phys, Ctr Monsoon Syst Res, Beijing, Peoples R ChinaChinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R China
Cao, Xi
Lan, Xiaoqing
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Inst Atmospher Phys, Ctr Monsoon Syst Res, Beijing, Peoples R ChinaChinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R China
Lan, Xiaoqing
Zhang, Wenjuan
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R ChinaChinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R China
Zhang, Wenjuan
Sun, Chenghu
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R ChinaChinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R China
Sun, Chenghu
Zhang, Yijun
论文数: 0引用数: 0
h-index: 0
机构:
Fudan Univ, Inst Atmospher Sci, Dept Atmospher & Ocean Sci, Shanghai, Peoples R ChinaChinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R China
机构:
Univ Santiago de Compostela, Fac Phys, CRETUS Inst, Grp Nonlinear Phys, Santiago De Compostela 15782, SpainUniv Santiago de Compostela, Fac Phys, CRETUS Inst, Grp Nonlinear Phys, Santiago De Compostela 15782, Spain
Costoya, X.
DeCastro, M.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Vigo, Environm Phys Lab, EphysLab, CIM UVIGO, Campus Auga Bldg, Orense 32004, SpainUniv Santiago de Compostela, Fac Phys, CRETUS Inst, Grp Nonlinear Phys, Santiago De Compostela 15782, Spain
DeCastro, M.
论文数: 引用数:
h-index:
机构:
Carvalho, D.
Feng, Z.
论文数: 0引用数: 0
h-index: 0
机构:
Xiamen Univ, Coll Ocean & Earth Sci, Xiamen 361102, Fujian, Peoples R ChinaUniv Santiago de Compostela, Fac Phys, CRETUS Inst, Grp Nonlinear Phys, Santiago De Compostela 15782, Spain
Feng, Z.
Gomez-Gesteira, M.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Vigo, Environm Phys Lab, EphysLab, CIM UVIGO, Campus Auga Bldg, Orense 32004, SpainUniv Santiago de Compostela, Fac Phys, CRETUS Inst, Grp Nonlinear Phys, Santiago De Compostela 15782, Spain
机构:
NASA, Goddard Space Flight Ctr, Global Modeling & Assimilat Off GMAO, Greenbelt, MD USA
Univ Space Res Assoc USRA, Goddard Earth Sci Technol & Res GESTAR, Columbia, MD USAUniv Vigo, Environm Phys Lab EPHYSLAB, Fac Sci, Orense 32004, Spain