prikaz prve stranice dokumenta Hindcast of Significant Wave Heights in Sheltered Basins Using Machine Learning and the Copernicus Database
  Preuzmi
PDF 3.38 MB
Znanstveni rad - Izvorni znanstveni rad
Hindcast of Significant Wave Heights in Sheltered Basins Using Machine Learning and the Copernicus Database
Naše more : znanstveni časopis za more i pomorstvo, 70 (2023), 2; 103-114. https://doi.org/10.17818/NM/2023/2.5
Bujak, Damjan; Carević, Dalibor; Bogovac, Tonko; Kulić, Tin

Citirajte ovaj rad

Bujak, D., Carević, D., Bogovac, T. i Kulić, T. (2023). Hindcast of Significant Wave Heights in Sheltered Basins Using Machine Learning and the Copernicus Database. Naše more : znanstveni časopis za more i pomorstvo, 70. (2), 103-114. doi: 10.17818/NM/2023/2.5

Bujak, Damjan, et al. "Hindcast of Significant Wave Heights in Sheltered Basins Using Machine Learning and the Copernicus Database." Naše more : znanstveni časopis za more i pomorstvo, vol. 70, br. 2, 2023, str. 103-114. https://doi.org/10.17818/NM/2023/2.5

Bujak, Damjan, Dalibor Carević, Tonko Bogovac i Tin Kulić. "Hindcast of Significant Wave Heights in Sheltered Basins Using Machine Learning and the Copernicus Database." Naše more : znanstveni časopis za more i pomorstvo 70, br. 2 (2023): 103-114. https://doi.org/10.17818/NM/2023/2.5

Bujak, D., et al. (2023) 'Hindcast of Significant Wave Heights in Sheltered Basins Using Machine Learning and the Copernicus Database', Naše more : znanstveni časopis za more i pomorstvo, 70(2), str. 103-114. doi: 10.17818/NM/2023/2.5

Bujak D, Carević D, Bogovac T, Kulić T. Hindcast of Significant Wave Heights in Sheltered Basins Using Machine Learning and the Copernicus Database. Naše more : znanstveni časopis za more i pomorstvo [Internet]. 2023. [pristupljeno 09.09.2024.];70(2):103-114. doi: 10.17818/NM/2023/2.5

D. Bujak, D. Carević, T. Bogovac i T. Kulić, "Hindcast of Significant Wave Heights in Sheltered Basins Using Machine Learning and the Copernicus Database", Naše more : znanstveni časopis za more i pomorstvo, vol. 70, br. 2, str. 103-114, 2023. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:237:751620. [Citirano: 09.09.2024.]

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:237:751620
Prijavite se u repozitorij kako biste mogli spremiti objekt u svoju listu.
Podaci o radu
Naslov (engleski)Hindcast of Significant Wave Heights in Sheltered Basins Using Machine Learning and the Copernicus Database
AutorDamjan Bujak
AutorDalibor Carević
AutorTonko Bogovac
AutorTin Kulić
Autorova ustanovaSveučilište u Zagrebu
Građevinski fakultet
Znanstveno / umjetničko
područje, polje i grana		TEHNIČKE ZNANOSTI
Građevinarstvo
Sažetak (engleski)
Long-term time series of wave parameters play a critical role in coastal structure design and maritime activities. At sites with limited buoy measurements, methods are used to extend the available time series data. To date, wave hindcasting research using machine learning methods has mainly focused on filling in missing buoy measurements or finding a mapping function between two nearshore buoy locations. This work aims to implement machine learning methods for hindcasting wave parameters using only publicly available Copernicus data. Ensemble regression and artificial neural networks were used as machine learning methods and the optimal hyperparameters were determined by the Bayesian optimization algorithm. As inputs, data from the MEDSEA reanalysis wave model were used for the wave parameters and data from the ERA5 atmospheric reanalysis model were used for the wind parameters. The results of this study show that the normalized RMSE of the test data improved by 29% for Rijeka and 12% for Split compared to the original MEDSEA wave hindcast at buoy locations. The proposed method was extremely efficient in removing bias in the original MEDSEA hindcasts (e.g., NBIAS = -0.35 for Rijeka) to negligible values for both Split and Rijeka (NBIAS < 0.03).
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaNaše more : znanstveni časopis za more i pomorstvo
Brojčani podacivol. 70, br. 2, str. 103-114
e-ISSN1848-6320
DOIhttps://doi.org/10.17818/NM/2023/2.5
URN:NBNurn:nbn:hr:237:751620
Datum objave publikacije2023
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Zaštićeno autorskim pravom.
Datum i vrijeme pohrane2024-09-05 07:30:13