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Underestimation of Wave Energy from ERA5 Datasets: Back Analysis and Calibration in the Central Tyrrhenian Sea

Author

Listed:
  • Lateef Adesola Afolabi

    (Department of Engineering, Università della Campania “Luigi Vanvitelli”, 81031 Aversa, Italy)

  • Sara Russo

    (Department of Engineering, Università della Campania “Luigi Vanvitelli”, 81031 Aversa, Italy)

  • Carlo Lo Re

    (ISPRA, Istituto Superiore per la Protezione e la Ricerca Ambientale, Via Vitaliano Brancati, 48, 00144 Roma, Italy)

  • Giovanni Ludeno

    (IREA CNR, Institute for Electromagnetic Sensing of the Environment—National Research Council of Italy, Via Diocleziano 328, 80124 Napoli, Italy)

  • Gabriele Nardone

    (ISPRA, Istituto Superiore per la Protezione e la Ricerca Ambientale, Via Vitaliano Brancati, 48, 00144 Roma, Italy)

  • Diego Vicinanza

    (Department of Engineering, Università della Campania “Luigi Vanvitelli”, 81031 Aversa, Italy)

  • Pasquale Contestabile

    (Department of Engineering, Università della Campania “Luigi Vanvitelli”, 81031 Aversa, Italy)

Abstract

Characterizing wave climate is crucial for coastal and offshore engineering applications. Reanalysis models, such as ERA5, are increasingly used due to their efficiency and lower costs compared to in situ measurements. However, their accuracy has not been thoroughly examined. This study addresses this gap by calibrating wave data from the ERA5 dataset with the available years of measurements from wave buoys in the Central Mediterranean Sea, specifically near Ponza, Cetraro, and Civitavecchia. A calibration approach was developed to adjust ERA5 wave data by aligning the model predictions closely with the co-located wave buoy observations. Results indicate that ERA5 systematically underestimates significant wave heights and periods, leading to an underestimation of wave power by up to 42% compared to buoy data. Calibration improved alignment between ERA5 and buoy measurements, enhancing wave energy representation and increasing estimated wave power by 35–48% annually. These findings underscore the importance of calibrating reanalysis datasets like ERA5 with in situ data to accurately assess wave energy potential, particularly in regions where model data may not fully capture local wave conditions. The outcomes provide valuable insights for wave energy projects in the Central Tyrrhenian Sea and similar semi-enclosed seas.

Suggested Citation

  • Lateef Adesola Afolabi & Sara Russo & Carlo Lo Re & Giovanni Ludeno & Gabriele Nardone & Diego Vicinanza & Pasquale Contestabile, 2024. "Underestimation of Wave Energy from ERA5 Datasets: Back Analysis and Calibration in the Central Tyrrhenian Sea," Energies, MDPI, vol. 18(1), pages 1-23, December.
    • Handle: RePEc:gam:jeners:v:18:y:2024:i:1:p:3-:d:1551084
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    References listed on IDEAS

    as
    1. 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.
    2. Memmola, Francesco & Contestabile, Pasquale & Falco, Pierpaolo & Brocchini, Maurizio, 2024. "Test Reference Year for wave energy studies: Generation and validation," Renewable Energy, Elsevier, vol. 224(C).
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