From a Virtual Red Sea to the Urban Scales of NEOM: A Decade of Progress Driven by Computational Sciences
The talk will present our decade-long efforts to build an integrated data-driven modeling system to study and predict the circulation and climate of the Arabian Peninsula at all scales. Starting from a general description of the Virtual Red Sea Initiative at its achievements so far, I will then outline our ongoing research under the KAUST Centre of Excellence for NEOM to develop new tools to seamlessly project and study the environment at the urban scales of NEOM. I will in particular discuss the involved scientific opportunities and challenges in terms of computational Sciences, including our extreme computational requirements, and the handling, analysis and visualization of very large datasets.
Overview
Abstract
The talk will present our decade-long efforts to build an integrated data-driven modeling system to study and predict the circulation and climate of the Arabian Peninsula at all scales. Starting from a general description of the Virtual Red Sea Initiative at its achievements so far, I will then outline our ongoing research under the KAUST Centre of Excellence for NEOM to develop new tools to seamlessly project and study the environment at the urban scales of NEOM. I will in particular discuss the involved scientific opportunities and challenges in terms of computational Sciences, including our extreme computational requirements, and the handling, analysis and visualization of very large datasets.
Brief Biography
Ibrahim Hoteit is a professor in the Earth Sciences and Engineering program at KAUST. He is currently leading the Virtual Red Sea Initiative, a joint initiative with Scripps Institution of Oceanography, MIT and Plymouth Marine Laboratory, and serving as the director of the Saudi Aramco Marine Environment Research Center at KAUST. Prof. Hoteit's research interests focus on the modeling of oceanic and atmospheric systems on supercomputers and the analysis of their circulation and variability, with specific interest in data assimilation and uncertainty quantification for large-scale systems. Prof. Hoteit earned his M.S. (1998) and Ph.D. (2002) in applied mathematics from the University of Joseph Fourier, France.
