IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v358y2024ics0306261923019360.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261923019360
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2023.122572?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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).
    9. 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.
    10. 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.
    11. 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.
    12. 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).
    13. 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.
    14. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang, Zhaoqing & García Medina, Gabriel & Neary, Vincent S. & Ahn, Seongho & Kilcher, Levi & Bharath, Aidan, 2023. "Multi-decade high-resolution regional hindcasts for wave energy resource characterization in U.S. coastal waters," Renewable Energy, Elsevier, vol. 212(C), pages 803-817.
    2. 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).
    3. Ulazia, Alain & Saenz-Aguirre, Aitor & Ibarra-Berastegui, Gabriel & Sáenz, Jon & Carreno-Madinabeitia, Sheila & Esnaola, Ganix, 2023. "Performance variations of wave energy converters due to global long-term wave period change (1900–2010)," Energy, Elsevier, vol. 268(C).
    4. Américo S. Ribeiro & Maite deCastro & Liliana Rusu & Mariana Bernardino & João M. Dias & Moncho Gomez-Gesteira, 2020. "Evaluating the Future Efficiency of Wave Energy Converters along the NW Coast of the Iberian Peninsula," Energies, MDPI, vol. 13(14), pages 1-15, July.
    5. Gonçalves, Marta & Martinho, Paulo & Guedes Soares, C., 2018. "A 33-year hindcast on wave energy assessment in the western French coast," Energy, Elsevier, vol. 165(PB), pages 790-801.
    6. Martinez, A. & Iglesias, G., 2020. "Wave exploitability index and wave resource classification," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    7. Shi, Xueli & Liang, Bingchen & Du, Shengtao & Shao, Zhuxiao & Li, Shaowu, 2022. "Wave energy assessment in the China East Adjacent Seas based on a 25-year wave-current interaction numerical simulation," Renewable Energy, Elsevier, vol. 199(C), pages 1381-1407.
    8. Gonçalves, Marta & Martinho, Paulo & Guedes Soares, C., 2020. "Wave energy assessment based on a 33-year hindcast for the Canary Islands," Renewable Energy, Elsevier, vol. 152(C), pages 259-269.
    9. Ribeiro, A.S. & deCastro, M. & Costoya, X. & Rusu, Liliana & Dias, J.M. & Gomez-Gesteira, M., 2021. "A Delphi method to classify wave energy resource for the 21st century: Application to the NW Iberian Peninsula," Energy, Elsevier, vol. 235(C).
    10. deCastro, M. & Rusu, L. & Arguilé-Pérez, B. & Ribeiro, A. & Costoya, X. & Carvalho, D. & Gómez-Gesteira, M., 2024. "Different approaches to analyze the impact of future climate change on the exploitation of wave energy," Renewable Energy, Elsevier, vol. 220(C).
    11. Masoud, Alaa A., 2022. "On the Nile Fan's wave power potential and controlling factors integrating spectral and geostatistical techniques," Renewable Energy, Elsevier, vol. 196(C), pages 921-945.
    12. Shi, Xueli & Li, Shaowu & Liang, Bingchen & Zhao, Jianchun & Liu, Ye & Wang, Zhenlu, 2023. "Numerical study on the impact of wave-current interaction on wave energy resource assessments in Zhoushan sea area, China," Renewable Energy, Elsevier, vol. 215(C).
    13. Penalba, Markel & Ulazia, Alain & Saénz, Jon & Ringwood, John V., 2020. "Impact of long-term resource variations on wave energy Farms: The Icelandic case," Energy, Elsevier, vol. 192(C).
    14. 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.
    15. Sun, Peidong & Xu, Bin & Wang, Jichao, 2022. "Long-term trend analysis and wave energy assessment based on ERA5 wave reanalysis along the Chinese coastline," Applied Energy, Elsevier, vol. 324(C).
    16. Sun, Ze & Zhang, Haicheng & Xu, Daolin & Liu, Xiaolong & Ding, Jun, 2020. "Assessment of wave power in the South China Sea based on 26-year high-resolution hindcast data," Energy, Elsevier, vol. 197(C).
    17. Harshinie Karunarathna & Pravin Maduwantha & Bahareh Kamranzad & Harsha Rathnasooriya & Kasun De Silva, 2020. "Impacts of Global Climate Change on the Future Ocean Wave Power Potential: A Case Study from the Indian Ocean," Energies, MDPI, vol. 13(11), pages 1-22, June.
    18. Sun, Peidong & Wang, Jichao, 2024. "Long-term variability analysis of wave energy resources and its impact on wave energy converters along the Chinese coastline," Energy, Elsevier, vol. 288(C).
    19. Choupin, Ophelie & Del Río-Gamero, B. & Schallenberg-Rodríguez, Julieta & Yánez-Rosales, Pablo, 2022. "Integration of assessment-methods for wave renewable energy: Resource and installation feasibility," Renewable Energy, Elsevier, vol. 185(C), pages 455-482.
    20. Ahn, Seongho & Haas, Kevin A. & Neary, Vincent S., 2020. "Wave energy resource characterization and assessment for coastal waters of the United States," Applied Energy, Elsevier, vol. 267(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:358:y:2024:i:c:s0306261923019360. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.