Welcome to the Red Sea Modeling and Prediction Group

Our group works at analyzing, predicting, and quantifying the uncertainties of fluid systems with a focus on large-scale earth sciences applications. The group members have expertise in data assimilation and inversion methods, ocean physics and modeling, and ground fluid modeling and history matching. Our research activities at KAUST can be summarized in three main fields, which we are working on in close collaboration with several international institutes in the US and Europe:

Development of efficient stochastic and deterministic data assimilation and inversion methods for large-scale nonlinear problems. We are mainly interested in the application of the full Bayesian estimation theory to large dimensional problems and the control of chaotic systems.

Application of data assimilation, inversion, and uncertainty quantification methods to fluid earth problems. Currently, the group is involved in ocean, atmosphere, groundwater and reservoir applications.

Modeling, remote sensing and physical oceanography of the Saudi Seas, with focus on the Red Sea circulation and climate.


- Professor Ibrahim Hoteit (PI)




Congratulations Professor Ibrahim Hoteit!

31 May, 2021

Professor Ibrahim Hoteit has been awarded the 2020 Kuwait Prize.

What's the catch? Algal blooms influence fishing booms

10 February, 2021

The timing of phytoplankton blooms in the Red Sea could help determine next year’s fish catch.

A fine-grained view of dust storms

02 February, 2021

A new analysis of satellite data gives a detailed view of how extreme dust events have changed over time.

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King Abdullah bin Abdulaziz Al Saud, 1924 – 2015

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