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Article

Approach for Preservation and Reconstruction of Two-Dimensional Wave Spectra and Its Application to Boundary Conditions in Nested Wave Modeling

1
First Institute of Oceanography, Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao 266061, China
2
Laboratory for Reginal Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology, Qingdao 266237, China
3
Shandong Key Laboratory of Marine Science and Numerical Modeling, Qingdao 266061, China
4
College of Harbour, Coastal and Offshore Engineering, Hohai University, Nanjing 210024, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2023, 15(5), 1360; https://doi.org/10.3390/rs15051360
Submission received: 25 January 2023 / Revised: 24 February 2023 / Accepted: 24 February 2023 / Published: 28 February 2023

Abstract

Typically, storing a two-dimensional wave spectrum could occupy more than one thousand storage units, making saving and reading boundary spectra computationally burdensome in nested wave simulations. This paper proposes a new approach for preservation of a wave spectrum that can reduce the required number of storage units to dozens. Using a corresponding reconstruction approach, the spectrum can then be rebuilt with intact spectral characteristics. Experimental application confirmed that the reconstructed spectra could be adopted as boundary conditions in nested wave modeling. The newly proposed approach for preservation and reconstruction of spectra allows long-term spectral information covering the entire simulated domain to be saved with more acceptable storage consumption, and such information can then be adopted as nesting conditions for nested-child simulations without the limitations of predefined boundaries. The above-mentioned properties of the new method could help support engineering projects concerning wave environments, research focused on wave climatology, and studies associated with wave energy assessment.
Keywords: wave spectra; spectral partitioning; wave modeling; nesting; boundary conditions wave spectra; spectral partitioning; wave modeling; nesting; boundary conditions

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MDPI and ACS Style

Jiang, X.; Wang, D.; Yang, Y.; Sun, M.; He, Q. Approach for Preservation and Reconstruction of Two-Dimensional Wave Spectra and Its Application to Boundary Conditions in Nested Wave Modeling. Remote Sens. 2023, 15, 1360. https://doi.org/10.3390/rs15051360

AMA Style

Jiang X, Wang D, Yang Y, Sun M, He Q. Approach for Preservation and Reconstruction of Two-Dimensional Wave Spectra and Its Application to Boundary Conditions in Nested Wave Modeling. Remote Sensing. 2023; 15(5):1360. https://doi.org/10.3390/rs15051360

Chicago/Turabian Style

Jiang, Xingjie, Daolong Wang, Yongzeng Yang, Meng Sun, and Qianqian He. 2023. "Approach for Preservation and Reconstruction of Two-Dimensional Wave Spectra and Its Application to Boundary Conditions in Nested Wave Modeling" Remote Sensing 15, no. 5: 1360. https://doi.org/10.3390/rs15051360

APA Style

Jiang, X., Wang, D., Yang, Y., Sun, M., & He, Q. (2023). Approach for Preservation and Reconstruction of Two-Dimensional Wave Spectra and Its Application to Boundary Conditions in Nested Wave Modeling. Remote Sensing, 15(5), 1360. https://doi.org/10.3390/rs15051360

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