A two-module bias-correction model for sea wave hindcasting based on the long-short term memory neural network-Reference-Cited by-同舟云学术

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A two-module bias-correction model for sea wave hindcasting based on the long-short term memory neural network

Published:2024-11 Issue: Volume:311 Page:118827
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Liao Jiawen,Li Yineng^ORCID,Li Junmin^ORCID,Li Shaotian,Peng Shiqiu

Publisher

Elsevier BV

Reference35 articles.

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2. Temporal significant wave height estimation from wind speed by perceptron Kalman filtering;Altunkaynak;Ocean Eng.,2004

3. Evaluation of a high-resolution wave hindcast model SWAN for the West Mediterranean basin;Amarouche;Appl. Ocean Res.,2019

4. Nonlinear wave ensemble averaging in the gulf of Mexico using neural networks;Campos;J. Atmos. Ocean. Technol.,2019

5. Simulated wave-driven ANN model for typhoon waves;Chang;Adv. Eng. Software,2011

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