sciCUN: A deep learning model for daily sea surface current fields inference—A case study of the Gulf of Riga

Key Points

• Enhanced inference of daily sea surface current fields was observed in the Gulf of Riga, providing better accuracy in current predictions.
• The model demonstrates a significant improvement in sea surface current inference, achieving a 20% increase in accuracy compared to previous methods.
• Deep learning algorithms were employed to analyze and model the daily variations in sea surface currents using extensive datasets.
• These findings support advancements in marine navigation and climate studies through improved current modeling methods.