Integration of causal deep learning for tide level forecasting in data-scarce coasts

Puntos clave

• Forecasting accuracy improves with causal deep learning models when predicting tide levels.
• The study achieves significant enhancements in forecast precision for tide levels in coastal regions.
• Analysis incorporates machine learning techniques to address challenges in data-scarce coastal environments.
• Highlighting the need for advanced forecasting tools, this method may enable better coastal management strategies.