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Increasing wave power due to global climate change and intensification of Antarctic Oscillation

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  • Liu, Jin
  • Li, Rui
  • Li, Shuo
  • Meucci, Alberto
  • Young, Ian R.

Abstract

In this study, our objective is to evaluate the long-term variability of global wave power and its underlying mechanisms, utilizing the longest wave reanalysis available (ERA5, 1940–2022). We introduce a novel validation of the global wave power of the ERA5 wave reanalysis against measurements from multi-platform satellite altimeters from 1985 to 2022. This validation shows good agreement over the period. Our analysis shows a consistent increase in global wave power throughout the study period. This rise in global wave power predominantly stems from the influences of global climate change and the intensification of Antarctic Oscillation (AAO) events. As low-pressure systems move southward in the Southern Hemisphere over this period, they generate an increase in wave power 2.6 times larger than the global average increase. This energetic wave power propagates towards the mid and low-latitude regions of the Pacific, Indian, and Atlantic Oceans. This conclusion is verified by an examination of wind wave and swell contributions to wave power. Specifically, the wind wave component (swell) is more (less) important in the Southern Ocean than in the low and mid-latitude regions.

Suggested Citation

  • Liu, Jin & Li, Rui & Li, Shuo & Meucci, Alberto & Young, Ian R., 2024. "Increasing wave power due to global climate change and intensification of Antarctic Oscillation," Applied Energy, Elsevier, vol. 358(C).
    • Handle: RePEc:eee:appene:v:358:y:2024:i:c:s0306261923019360
    DOI: 10.1016/j.apenergy.2023.122572
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    1. Ribal, Agustinus & Babanin, Alexander V. & Zieger, Stefan & Liu, Qingxiang, 2020. "A high-resolution wave energy resource assessment of Indonesia," Renewable Energy, Elsevier, vol. 160(C), pages 1349-1363.
    2. Ryan L. Fogt & Gareth J. Marshall, 2020. "The Southern Annular Mode: Variability, trends, and climate impacts across the Southern Hemisphere," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 11(4), July.
    3. 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.
    4. Adem Akpınar & Bilal Bingölbali, 2016. "Long-term variations of wind and wave conditions in the coastal regions of the Black Sea," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 69-92, October.
    5. Arinaga, Randi A. & Cheung, Kwok Fai, 2012. "Atlas of global wave energy from 10 years of reanalysis and hindcast data," Renewable Energy, Elsevier, vol. 39(1), pages 49-64.
    6. Liliana Rusu & Eugen Rusu, 2021. "Evaluation of the Worldwide Wave Energy Distribution Based on ERA5 Data and Altimeter Measurements," Energies, MDPI, vol. 14(2), pages 1-16, January.
    7. Ahn, Seongho & Neary, Vincent S. & Haas, Kevin A., 2022. "Global wave energy resource classification system for regional energy planning and project development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    8. Mark A. Hemer & Yalin Fan & Nobuhito Mori & Alvaro Semedo & Xiaolan L. Wang, 2013. "Projected changes in wave climate from a multi-model ensemble," Nature Climate Change, Nature, vol. 3(5), pages 471-476, May.
    9. I. Odériz & N. Mori & T. Shimura & A. Webb & R. Silva & T. R. Mortlock, 2022. "Transitional wave climate regions on continental and polar coasts in a warming world," Nature Climate Change, Nature, vol. 12(7), pages 662-671, July.
    10. Zheng, Chong Wei & Wang, Qing & Li, Chong Yin, 2017. "An overview of medium- to long-term predictions of global wave energy resources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1492-1502.
    11. N. H. Saji & B. N. Goswami & P. N. Vinayachandran & T. Yamagata, 1999. "A dipole mode in the tropical Indian Ocean," Nature, Nature, vol. 401(6751), pages 360-363, September.
    12. Borja G. Reguero & Iñigo J. Losada & Fernando J. Méndez, 2019. "A recent increase in global wave power as a consequence of oceanic warming," Nature Communications, Nature, vol. 10(1), pages 1-14, December.
    13. Liu, Jin & Meucci, Alberto & Liu, Qingxiang & Babanin, Alexander V. & Ierodiaconou, Daniel & Xu, Xingkun & Young, Ian R., 2023. "A high-resolution wave energy assessment of south-east Australia based on a 40-year hindcast," Renewable Energy, Elsevier, vol. 215(C).
    14. Joao Morim & Mark Hemer & Xiaolan L. Wang & Nick Cartwright & Claire Trenham & Alvaro Semedo & Ian Young & Lucy Bricheno & Paula Camus & Mercè Casas-Prat & Li Erikson & Lorenzo Mentaschi & Nobuhito Mo, 2019. "Robustness and uncertainties in global multivariate wind-wave climate projections," Nature Climate Change, Nature, vol. 9(9), pages 711-718, September.
    15. Rusu, Liliana & Onea, Florin, 2017. "The performance of some state-of-the-art wave energy converters in locations with the worldwide highest wave power," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 1348-1362.
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