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Global trends in oceanic wind speed, wind-sea, swell, and mixed wave heights

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  • Zheng, Chong-wei
  • Li, Xue-hong
  • Azorin-Molina, Cesar
  • Li, Chong-yin
  • Wang, Qing
  • Xiao, Zi-niu
  • Yang, Shao-bo
  • Chen, Xuan
  • Zhan, Chao

Abstract

The climatic trends of Wind Speed (WS) and wave height play a key role in wind and wave energy assessments, climate change analyses, and air-sea interactions, among many others. Using ERA5 reanalysis, this study reveals the climatic trends of global oceanic WS and wave height for 1979–2018, including the overall trends, regional and seasonal differences of the trends, with a special focus on the differences and similarities between the trends in wind-sea wave height (Hwind) and swell wave height (Hswell), as well as the contributions of climate indices to WS, Hwind, Hswell and Significant Wave Height (Hs) respectively, by employing linear regression and correlation analysis. The results show an overall global oceanic increase for 1979–2018 in WS (+0.47 cm/s/yr), with increases of +0.13, +0.28 and +0.32 cm/yr in Hwind, Hswell and Hs respectively, and a stronger increasing trend in the Southern Hemisphere than in the Northern Hemisphere. There is good agreement between the spatial distribution of annual and seasonal trends in WS and those of Hwind, as well as between Hswell and Hs. Areas with strong increasing trends of WS and Hwind are mainly located in the tropical South Indian Ocean and tropical Pacific Ocean. Hswell and Hs exhibit significant increases in most global oceans. The months with the broadest and strongest increase in Hswell and Hs are June-July-August (JJA). There is a close relationship among the WS, wave height climatology and the modes of climate variability. The wind has the strongest response to climate indices, followed by the wind-sea, with swell having a minimal response.

Suggested Citation

  • Zheng, Chong-wei & Li, Xue-hong & Azorin-Molina, Cesar & Li, Chong-yin & Wang, Qing & Xiao, Zi-niu & Yang, Shao-bo & Chen, Xuan & Zhan, Chao, 2022. "Global trends in oceanic wind speed, wind-sea, swell, and mixed wave heights," Applied Energy, Elsevier, vol. 321(C).
  • Handle: RePEc:eee:appene:v:321:y:2022:i:c:s0306261922006778
    DOI: 10.1016/j.apenergy.2022.119327
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    1. Iglesias, G. & Carballo, R., 2011. "Choosing the site for the first wave farm in a region: A case study in the Galician Southwest (Spain)," Energy, Elsevier, vol. 36(9), pages 5525-5531.
    2. Martinez, A. & Iglesias, G., 2020. "Wave exploitability index and wave resource classification," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    3. Bingölbali, Bilal & Majidi, Ajab Gul & Akpınar, Adem, 2021. "Inter- and intra-annual wave energy resource assessment in the south-western Black Sea coast," Renewable Energy, Elsevier, vol. 169(C), pages 809-819.
    4. Mahmoodi, Kumars & Ghassemi, Hassan & Razminia, Abolhassan, 2019. "Temporal and spatial characteristics of wave energy in the Persian Gulf based on the ERA5 reanalysis dataset," Energy, Elsevier, vol. 187(C).
    5. Reguero, B.G. & Losada, I.J. & Méndez, F.J., 2015. "A global wave power resource and its seasonal, interannual and long-term variability," Applied Energy, Elsevier, vol. 148(C), pages 366-380.
    6. Michelle L. L’Heureux & Sukyoung Lee & Bradfield Lyon, 2013. "Recent multidecadal strengthening of the Walker circulation across the tropical Pacific," Nature Climate Change, Nature, vol. 3(6), pages 571-576, June.
    7. Matthew H. England & Shayne McGregor & Paul Spence & Gerald A. Meehl & Axel Timmermann & Wenju Cai & Alex Sen Gupta & Michael J. McPhaden & Ariaan Purich & Agus Santoso, 2014. "Recent intensification of wind-driven circulation in the Pacific and the ongoing warming hiatus," Nature Climate Change, Nature, vol. 4(3), pages 222-227, March.
    8. Kamranzad, Bahareh & Lin, Pengzhi, 2020. "Sustainability of wave energy resources in the South China Sea based on five decades of changing climate," Energy, Elsevier, vol. 210(C).
    9. Kamranzad, Bahareh & Hadadpour, Sanaz, 2020. "A multi-criteria approach for selection of wave energy converter/location," Energy, Elsevier, vol. 204(C).
    10. Zheng, Chong Wei & Li, Chong Yin, 2015. "Variation of the wave energy and significant wave height in the China Sea and adjacent waters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 381-387.
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