Significant wave height prediction based on dynamic graph neural network with fusion of ocean characteristics
Author:
Publisher
Elsevier BV
Subject
Atmospheric Science,Computers in Earth Sciences,Geology,Oceanography
Reference41 articles.
1. Assessment of wave energy resource of the Black Sea based on 15-year numerical hindcast data;Akpınar;Appl. Energy,2013
2. Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms;Ali;Renew. Sustain. Energy Rev.,2020
3. Development of a 2-D deep learning regional wave field forecast model based on convolutional neural network and the application in South China Sea;Bai;Appl. Ocean Res.,2022
4. A third-generation wave model for coastal regions: 1. Model description and validation;Booij;J. Geophys. Res.: Oceans,1999
5. Significant wave height prediction based on wavelet graph neural network;Chen,2021
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