2023
DOI: 10.1016/j.apor.2022.103393
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Learning wave fields evolution in North West Pacific with deep neural networks

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Cited by 8 publications
(1 citation statement)
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“…ConvLSTM networks have found wide-ranging applications in ocean environmental forecasting, encompassing ocean temperature, salinity, and wave height prediction [123], [124], [125], [126]. These models, trained on historical ocean data, leverage a combination of CNN+LSTM to extract spatiotemporal features, enabling accurate predictions about the ocean environment [127].…”
Section: Ocean Phenomena Forecasting Based On Ocean Remote Sensing By...mentioning
confidence: 99%
“…ConvLSTM networks have found wide-ranging applications in ocean environmental forecasting, encompassing ocean temperature, salinity, and wave height prediction [123], [124], [125], [126]. These models, trained on historical ocean data, leverage a combination of CNN+LSTM to extract spatiotemporal features, enabling accurate predictions about the ocean environment [127].…”
Section: Ocean Phenomena Forecasting Based On Ocean Remote Sensing By...mentioning
confidence: 99%