About Georgiy L. Stenchikov Georgiy L. Stenchikov Emeritus Professor (former), Earth Science and Engineering earth science and engineering applied mathematics computational science Georgiy L. Stenchikov, a former KAUST faculty member, is renowned for his work in climate modeling, atmospheric processes, and volcanic impacts. Articles Related News November 2024 KAUST wins the “Nobel” of high-performance computing for climate modeling 1 min read · Fri, Nov 22 2024 News Clip News HPC climate projections extreme computing computational simulations uncertainty quantification KAUST has been awarded the “Nobel" prize of high-performance computing—the ACM Gordon Bell Prize for Climate Modelling—in partnership with the NSF National Center for Atmospheric Research, U.S. and other partner institutions. July 2024 KAUST team selected as ACM Gordon Bell Prize for Climate Modelling finalists 4 min read · Tue, Jul 23 2024 News A new exascale climate emulator marks a significant advancement as the first to generate, display and evaluate hourly emulations. This breakthrough secured an interdisciplinary research team from KAUST, working alongside the NSF National Center for Atmospheric Research in the U.S. and other partner institutions, a spot as a finalist for the prestigious Gordon Bell Prize in Climate Modelling. May 2019 West Africa warms but airborne dust keeps the Red Sea cool 1 min read · Wed, May 15 2019 News climate science climate projections supercomputing earth science and engineering World-class computing facilities at KAUST enable researchers to tackle complex questions in climate science and oceanography. April 2017 KAUST Research Conference: Predictive Complex Computational Fluid Dynamics 2017 2 min read · Mon, Apr 3 2017 News computational fluid dynamics multi-scale complex flow simulations KAUST will host the 2017 Research Conference "Predictive Complex Computational Fluid Dynamics " on May 22-24, 2017. The Research Conference aims to gather international top scientists of all ages from academia and industry and will focus on cutting-edge research in the field of algorithmic development for CFD and multi-scale complex flow simulations. Although CFD is arguably the oldest area of computational science, it is a very challenging and active one, due to to the fact that worldwide research centers, in the private and public sector, are still actively working on the development and application of CFD algorithms to supplement experiment and to interpolate between experimental scenarios. CFD is currently being applied to scenarios where physical experiments are not feasible due to prohibitive costs, and ethical concerns, or where reproducibility is impossible to achieve.
KAUST wins the “Nobel” of high-performance computing for climate modeling 1 min read · Fri, Nov 22 2024 News Clip News HPC climate projections extreme computing computational simulations uncertainty quantification KAUST has been awarded the “Nobel" prize of high-performance computing—the ACM Gordon Bell Prize for Climate Modelling—in partnership with the NSF National Center for Atmospheric Research, U.S. and other partner institutions.
KAUST team selected as ACM Gordon Bell Prize for Climate Modelling finalists 4 min read · Tue, Jul 23 2024 News A new exascale climate emulator marks a significant advancement as the first to generate, display and evaluate hourly emulations. This breakthrough secured an interdisciplinary research team from KAUST, working alongside the NSF National Center for Atmospheric Research in the U.S. and other partner institutions, a spot as a finalist for the prestigious Gordon Bell Prize in Climate Modelling.
West Africa warms but airborne dust keeps the Red Sea cool 1 min read · Wed, May 15 2019 News climate science climate projections supercomputing earth science and engineering World-class computing facilities at KAUST enable researchers to tackle complex questions in climate science and oceanography.
KAUST Research Conference: Predictive Complex Computational Fluid Dynamics 2017 2 min read · Mon, Apr 3 2017 News computational fluid dynamics multi-scale complex flow simulations KAUST will host the 2017 Research Conference "Predictive Complex Computational Fluid Dynamics " on May 22-24, 2017. The Research Conference aims to gather international top scientists of all ages from academia and industry and will focus on cutting-edge research in the field of algorithmic development for CFD and multi-scale complex flow simulations. Although CFD is arguably the oldest area of computational science, it is a very challenging and active one, due to to the fact that worldwide research centers, in the private and public sector, are still actively working on the development and application of CFD algorithms to supplement experiment and to interpolate between experimental scenarios. CFD is currently being applied to scenarios where physical experiments are not feasible due to prohibitive costs, and ethical concerns, or where reproducibility is impossible to achieve.
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