This project develops high-resolution climate models and forecasting systems tailored to the Arabian Peninsula, aiming to simulate and project regional climate with unprecedented detail. It covers sub-seasonal to seasonal forecasting, assesses climate change impacts on extremes and sea level rise, and explores regional climate dynamics and dust forcing. The work supports national adaptation strategies and the Saudi and Middle East Green Initiatives.

This project aims to deliver long-term projections and in-depth analysis of sea level rise and extreme sea levels in the Red Sea and Arabian Gulf. By combining observational data with high-resolution hydrodynamic modeling, it will identify key drivers, map spatial-temporal variability, and simulate present and future conditions. Results will be shared through an interactive visualization tool to support Saudi Aramco’s coastal risk planning.

This project delivers a fully automated, real-time oil spill detection and forecasting system for Aramco, integrating satellite imagery, AI, and high-resolution atmospheric-oceanic models. Piloted in the northern Arabian Gulf, the system identifies spills, predicts their trajectory and fate, and offers an interactive platform for scenario analysis and decision-making with minimal human intervention.

This research program offers a strategic foundation to support climate-resilient planning in the NEOM and Red Sea regions. By advancing eight high-priority studies, it fosters collaboration, informs adaptation strategies, and provides access to high-quality environmental data to guide coordinated climate action locally and globally.

This project supports NEOM’s vision of a renewable-powered future by assessing the impact of extreme weather on energy systems, simulating heating and cooling demand across “The Line,” and creating baseline community electricity profiles. It delivers data-driven insights and tools to guide reliable, climate-resilient energy planning.

Our ultimate aim is the incorporation of our results on coral connectivity in the KSA Red Sea reef management and for the establishment of MPAs. In fact, by providing novel and currently needed fundamental data on the coral connectivity in the SARS, our project has a very high potential for policy changes (and new policy establishment) for coral reef conservation.

This project supports the decarbonization of Saudi Arabia’s maritime sector by optimizing port shipping routes and evaluating low-emission technologies. It focuses on reducing GHG emissions, exploring “grid to propeller” energy solutions, assessing alternative marine fuels, and promoting renewable propulsion systems to enable greener ports and shipping corridors.

This project investigates how submesoscale ocean-atmosphere interactions influence regional climate, using the Arabian Sea as a testbed. Through high-resolution coupled modeling, targeted process studies, and climate scenario projections, it aims to uncover the mechanisms driving submesoscale dynamics and their climate feedbacks—supporting sustainable marine resource management and improved climate resilience.

Using state-of-the-art ocean–atmosphere models together with satellite remote sensing, in-situ observations and global reanalyses, we study the circulation, dynamics and climate of the Arabian Seas (Red Sea, Arabian Gulf, Arabian Sea) and quantify their impacts on marine ecosystems.