The project develops high-resolution and AI-based coastal temperature prediction for the KAUST reef, combining ultra-high-resolution ocean modeling, observations, satellite data, and subseasonal weather forecasts. The goal is to improve reef monitoring, marine heat-stress prediction, environmental forecasting, and future early-warning capabilities.
Uncertainty-aware fleet routing optimization integrating metocean forecasts and vessel performance models for operational decision-making.
Coupled ocean–atmosphere modeling of submesoscale processes driving heat exchange and regional climate variability.
High-resolution climate modeling and digital twin system for risk assessment and forecasting at regional and facility scales.
Advanced drift modeling framework combining ocean and atmospheric dynamics for accurate trajectory prediction.
High-resolution biogeochemical modeling system capturing ecosystem dynamics, carbon fluxes, and marine variability.
High-resolution, unified ocean modeling framework for consistent forecasting across the Arabian Peninsula waters.
A scalable POSOC framework enabling optimal decisions under partial information in complex, high-dimensional environments.