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Maritime Systems Ocean Operations Sciences

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Maritime Systems Ocean Operations Sciences

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Research Frontiers in Machine Learning for Maritime Weather Prediction

Neural network architectures and ensemble methods for improved short-term and long-term maritime weather forecasting using multi-sensor oceanographic data.

Neural Dynamics of Mesoscale Ocean Eddy Formation

Deep Learning at the Atmospheric-Oceanic Interface

Probabilistic Storm Surge Prediction via Graph Networks

Temporal Heterogeneity in Sea State Forecasting Models

Sparse Data Reconstruction in Polar Weather Systems

Nonlinear Wave-Wind Coupling in Extreme Events

Transfer Learning Across Ocean Basin Climatic Regimes

Uncertainty Quantification in Subgrid-Scale Ocean Processes

Physics-Informed Transformers for Coastal Hydrodynamics

Causal Discovery in Multivariate Maritime Weather Prediction

All Maritime Systems & Ocean Operations Sciences PhD categories