Characterization of the wave resource variability in the French Basque coastal area based on a high-resolution hindcast

被引:5
|
作者
Delpey, Matthias [1 ]
Lastiri, Ximun [2 ]
Abadie, Stephane [3 ]
Roeber, Volker [2 ]
Maron, Philippe [3 ]
Liria, Pedro [4 ]
Mader, Julien [4 ]
机构
[1] SUEZ, Smart & Environm Solut, Ctr Rivages Pro Tech, Bidart, France
[2] Univ Pau & Pays Adour, SIAME, E2S UPPA, Chair HPC Waves, Anglet, France
[3] Univ Pau & Pays Adour, E2S UPPA, SIAME, Anglet, France
[4] Basque Res & Technol Alliance BRTA, AZTI, Marine Res, Pasaia, Gipuzkoa, Spain
关键词
Wave energy resource; Nearshore area; Breakwater; Space-time variability; Spectral distribution; SWAN; WEST-COAST; ENERGY; CLIMATE; MODEL; PARAMETERIZATIONS; DATABASE; IMPACTS;
D O I
10.1016/j.renene.2021.05.167
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A wave resource characterisation is presented for the French Basque coastal region, with a specific focus on Bayonne nearshore area. The study is derived from a 10-year hindcast computation performed with a very high-resolution coastal implementation of a SWAN model. After a detailed validation of the model in intermediate and shallow water, the spatial, temporal, and spectral distributions of the local nearshore wave energy climate are characterized. Refraction over a local submarine canyon splits the coastal domain into two main regions with different general characteristics. In the southern Basque region, the spatial fluctuations of the wave resource increase drastically in shallow water. Variability nearshore was shown to be significantly higher than over the deeper part of the shelf. Noticeable hot-spots are found in the nearshore area around Bayonne, where the local wave resource substantially exceeds the outer shelf incident energy flux. Seasonal to hourly temporal fluctuations are also characterized at different near shore locations and found to be very pronounced. The major wave resource variations found at reduced space-time scales highlight the strong influence of local small-scale bathymetry features in the Basque nearshore region. (c) 2021 Elsevier Ltd. All rights reserved.
引用
收藏
页码:79 / 95
页数:17
相关论文
共 50 条
  • [1] Wave Climate Variability and Trends in Tuvalu Based on a 44-Year High-Resolution Wave Hindcast
    Wandres, Moritz
    Espejo, Antonio
    Damlamian, Herve
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2023, 128 (04)
  • [2] Development and validation of a high-resolution regional wave hindcast model for US West Coast wave resource characterization
    Wu, Wei-Cheng
    Wang, Taiping
    Yang, Zhaoqing
    Garcia-Medina, Gabriel
    [J]. RENEWABLE ENERGY, 2020, 152 : 736 - 753
  • [3] Wave resource characterization at regional and nearshore scales for the US Alaska coast based on a 32-year high-resolution hindcast
    Garcia-Medina, Gabriel
    Yang, Zhaoqing
    Wu, Wei-Cheng
    Wang, Taiping
    [J]. RENEWABLE ENERGY, 2021, 170 : 595 - 612
  • [4] A high-resolution wave hindcast off Santa Catarina (Brazil) for identifying wave climate variability
    Oliveira, Bruna A.
    Sobral, Fernando
    Fetter, Antonio
    Mendez, Fernando J.
    [J]. REGIONAL STUDIES IN MARINE SCIENCE, 2019, 32
  • [5] Brazil Wave Climate from a High-Resolution Wave Hindcast
    de Sa Cotrim, Camila
    Semedo, Alvaro
    Lemos, Gil
    [J]. CLIMATE, 2022, 10 (04)
  • [6] Wave resource characterization at regional and nearshore scales for the U.S. Alaska coast based on a 32-year high-resolution hindcast
    García-Medina, Gabriel
    Yang, Zhaoqing
    Wu, Wei-Cheng
    Wang, Taiping
    [J]. Renewable Energy, 2021, 170 : 595 - 612
  • [7] Multi-decade high-resolution regional hindcasts for wave energy resource characterization in US coastal waters
    Yang, Zhaoqing
    Medina, Gabriel Garcia
    Neary, Vincent S.
    Ahn, Seongho
    Kilcher, Levi
    Bharath, Aidan
    [J]. RENEWABLE ENERGY, 2023, 212 : 803 - 817
  • [8] Wave farm planning through high-resolution resource and performance characterization
    Carballo, R.
    Arean, N.
    Alvarez, M.
    Lopez, I.
    Castro, A.
    Lopez, M.
    Iglesias, G.
    [J]. RENEWABLE ENERGY, 2019, 135 : 1097 - 1107
  • [9] PERFORMANCE OF THE OBSERVATION-BASED SOURCE TERMS IN A HIGH-RESOLUTION WAVE HINDCAST FOR THE NORTH SEA
    Rapizo, Henrique
    Liu, Qingxiang
    Babanin, Alexander V.
    [J]. PROCEEDINGS OF ASME 2022 41ST INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE & ARCTIC ENGINEERING, OMAE2022, VOL 2, 2022,
  • [10] High-resolution satellite observations to account for coastal gradient in wind resource assessment: application to French coastal areas
    Cathelain, M.
    Husson, R.
    Berger, H.
    Fragoso, M.
    [J]. WAKE CONFERENCE 2023, 2023, 2505