Impact of geophysical fields on Deep Learning-based Lagrangian drift simulations

1. 1Identify relevant geophysical input fields for Lagrangian drift simulations
2. 2Assess the impact of these fields on simulation accuracy using experiments like Benchmark B1 and B2
3. 3Analyze results in different ocean dynamics regions, such as North East Pacific and Gulf Stream
4. 4Integrate findings into DriftNet or similar learning-based methods to improve simulation performance

Data scientists and AI engineers working on ocean dynamics simulations can benefit from understanding how geophysical fields influence their models, allowing for more accurate predictions

💡 Geophysical input fields significantly influence the accuracy of Lagrangian drift simulations

🌊 Geophysical fields affect Deep Learning-based Lagrangian drift simulations