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Analysing seven decades of global wave power trends: The impact of prolonged ocean warming

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  • Chen, Wei-Bo

Abstract

Wave power results from converting wind energy into kinetic energy on the ocean's surface. Alterations in long-term ocean surface waves can have significant consequences for coastal regions, including erosion and an elevated risk of flooding. Our research has unveiled a discernible and escalating trend in several crucial oceanic parameters, encompassing sea-surface temperature (SST), 10-m wind speed (W10), and significant wave height (SWH), both on a global and regional scale. Importantly, we have established statistically substantial relationships between SST and W10 and W10 and SWH. Moreover, our analysis has revealed a temporal lag of one year in the cross-correlation between SST and W10, while no such temporal offset is evident between W10 and SWH. Significantly, our investigation has provided evidence that global wave power (WP) has exhibited an annual increase of 0.54% over the comprehensive 70-year period from 1951 to 2020. This upward trajectory can be primarily attributed to the phenomenon of upper-ocean warming, which serves to enhance W10. Specifically, when SST exceeds the 70-year average by 1 °C (1951–2020), a corresponding global increase of 0.8 m/s in W10 is observed. This elevation in W10, in turn, results in a 0.5 m increase in SWH, ultimately culminating in a substantial 32.8 kW/m boost in WP. Our comprehensive analysis of the 70-year dataset underscores the predominant role played by the oceanic region situated between latitudes 30°S and 60°S, contributing a substantial 52.3% share to global WP. Closely following is the South Pacific region, contributing 28.3% to the cumulative WP, followed by the South Atlantic (23.3%), the Indian Ocean (15.1%), and the North Atlantic and North Pacific regions, each contributing approximately 9.6% and 9.3%, respectively. The findings derived from our study cast a spotlight on the intensification of W10, the amplification of SWH, and the significant escalation in WP since the 1970s. These trends are intrinsically linked to the phenomenon of upper-ocean warming. Importantly, they portend a scenario in which the world's oceans will manifest even greater energy levels should current warming trends continue unabated.

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  • Chen, Wei-Bo, 2024. "Analysing seven decades of global wave power trends: The impact of prolonged ocean warming," Applied Energy, Elsevier, vol. 356(C).
    • Handle: RePEc:eee:appene:v:356:y:2024:i:c:s0306261923018044
    DOI: 10.1016/j.apenergy.2023.122440
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    References listed on IDEAS

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    1. Su, Wen-Ray & Chen, Hongey & Chen, Wei-Bo & Chang, Chih-Hsin & Lin, Lee-Yaw & Jang, Jiun-Huei & Yu, Yi-Chiang, 2018. "Numerical investigation of wave energy resources and hotspots in the surrounding waters of Taiwan," Renewable Energy, Elsevier, vol. 118(C), pages 814-824.
    2. 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.
    3. Liang, Bingchen & Shao, Zhuxiao & Wu, Guoxiang & Shao, Meng & Sun, Jinwei, 2017. "New equations of wave energy assessment accounting for the water depth," Applied Energy, Elsevier, vol. 188(C), pages 130-139.
    4. Angélique Melet & Benoit Meyssignac & Rafael Almar & Gonéri Le Cozannet, 2018. "Under-estimated wave contribution to coastal sea-level rise," Nature Climate Change, Nature, vol. 8(3), pages 234-239, March.
    5. Shih-Chun Hsiao & Chao-Tzuen Cheng & Tzu-Yin Chang & Wei-Bo Chen & Han-Lun Wu & Jiun-Huei Jang & Lee-Yaw Lin, 2021. "Assessment of Offshore Wave Energy Resources in Taiwan Using Long-Term Dynamically Downscaled Winds from a Third-Generation Reanalysis Product," Energies, MDPI, vol. 14(3), pages 1-25, January.
    6. 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.
    7. Angélique Melet & Benoit Meyssignac & Rafael Almar & Gonéri Cozannet, 2018. "Author Correction: Under-estimated wave contribution to coastal sea-level rise," Nature Climate Change, Nature, vol. 8(9), pages 840-840, September.
    8. 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).
    9. Ceridwen I. Fraser & Adele K. Morrison & Andrew McC Hogg & Erasmo C. Macaya & Erik van Sebille & Peter G. Ryan & Amanda Padovan & Cameron Jack & Nelson Valdivia & Jonathan M. Waters, 2018. "Antarctica’s ecological isolation will be broken by storm-driven dispersal and warming," Nature Climate Change, Nature, vol. 8(8), pages 704-708, August.
    10. 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.
    11. Olauson, Jon, 2018. "ERA5: The new champion of wind power modelling?," Renewable Energy, Elsevier, vol. 126(C), pages 322-331.
    12. Hung-Ju Shih & Chih-Hsin Chang & Wei-Bo Chen & Lee-Yaw Lin, 2018. "Identifying the Optimal Offshore Areas for Wave Energy Converter Deployments in Taiwanese Waters Based on 12-Year Model Hindcasts," Energies, MDPI, vol. 11(3), pages 1-21, February.
    13. Fairley, Iain & Lewis, Matthew & Robertson, Bryson & Hemer, Mark & Masters, Ian & Horrillo-Caraballo, Jose & Karunarathna, Harshinie & Reeve, Dominic E., 2020. "A classification system for global wave energy resources based on multivariate clustering," Applied Energy, Elsevier, vol. 262(C).
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