Modeling dispersion of suspended sediments and dissolved contaminants in the Red Sea
High resolution modeling and forecasting of Duba circulation
Dynamically adaptive data-driven simulation and uncertainty quantification of coastal flows
Wave and tide assessment at King Abdullah Economic City (KAEC)
Ventilation of the deep Red Sea: Formation processes, deep circulation and their variability
Environmental impact assessment of the Red Sea and NEOM projects
Wave and storm surge assessment under climate change scenarios at King Abdullah Economic City (KAEC)
Nested high-resolution modeling of the coastal Red Sea
An efficient framework for downscaling large ensemble forecasts with application to geophysical flows
An intelligent early-warning oil spill detection and prediction system for the Arabian Gulf and the Red Sea
AI-aided probabilistic reservoir characterization using ensemble history matching with big data
Remote sensing mangroves in the Red Sea and their variability in relation to environmental conditions
KMET: KAUST Meteorology
Optimizing buildings hybrid renewable energy systems under weather and climate variability
Arabian Peninsula’s land-based and marine heatwaves: Variability, drivers, trends, and predictability up to sub-seasonal scales
Virtual Red Sea Initiative
Dispersion modelling for the new NEOM selective desalination plant

The main driver for currents in the area is expected to be ocean currents due to the large water depth. These currents are not resolved through tides and local wind alone, a 3D model of the entire Red Sea is needed. A local model driven by only tides and wind is expected to be overly conservative. Using boundary conditions which include the ocean currents of the Red Sea is therefore highly recommended.

AI-enhanced operational short-term energy predictions at NEOM
Estimation of emission, spread and evolution of CO2 across NEOM region using computational models and satellite measurements
A tidal elevation prediction system for the Arabian Gulf and the Red Sea

The objective of this scope is to develop a high-resolution tidal elevation system that automatically predicts tidal sea surface elevation based on observations and a numerical tidal model.