Do-Youn Kim

Improving 24-h surface-drifter trajectory prediction around the Korean Peninsula using a multi-source machine learning framework

Predicting surface-drifter trajectories is vital for material transport studies, marine hazard response, and analyses of upper-ocean circulation. However, this task remains challenging because winds, tides, mesoscale currents, and waves interact nonlinearly in ways that are diffi...