Opitimzed WAVEWATCH Ⅲ for significant wave height computation using machine learning-Reference-Cited by-同舟云学术

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Opitimzed WAVEWATCH Ⅲ for significant wave height computation using machine learning

Published:2024-11 Issue: Volume:312 Page:119004
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Zhang Lu,Duan Wenyang,Wu Kedi,Cui Xinmiao,Guedes Soares C.^ORCID,Huang Limin^ORCID

Publisher

Elsevier BV

Reference54 articles.

1. A deep learning approach for wave forecasting based on a spatially correlated wind feature, with a case study in the java sea, Indonesia;Adytia;Fluid,2022

2. A framework for feasibility-level validation of high-resolution wave hindcast models;Ahn;Ocean Eng.,2022

3. Development and validation of a regional-scale high-resolution unstructured model for wave energy resource characterisation along the US East Coast;Allahdadi;Renew. Energy,2019

4. Assessment of SWAN and WAVEWATCH-III models regarding the directional wave spectra estimates based on Eastern Black Sea measurements;Amarouche;Ocean Eng.,2023

5. Skill assessment of different quadruplet wave-wave interaction formulations in the WAVEWATCH-III model with application to the Gulf of Mexico;Beyramzadeh;Appl. Ocean Res.,2022

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