About Yan Song Yan Song Postdoctoral Research Fellow, Statistics subsampling spatial statistics Articles Related News April 2025 KAUST climate research named finalist for ADIA Lab Climate Data Sciences Award 3 min read · Sun, Apr 20 2025 News climate data stochastic computational science climate change KAUST team develops breakthrough method for wind data generation, earning finalist spot for ADIA Lab’s climate science award. 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. September 2024 A high-resolution boost for global climate modeling 1 min read · Sun, Sep 15 2024 News Clip News New statistical approach enables fast approximations of global surface temperatures at unprecedented spatial and temporal resolution. 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.
KAUST climate research named finalist for ADIA Lab Climate Data Sciences Award 3 min read · Sun, Apr 20 2025 News climate data stochastic computational science climate change KAUST team develops breakthrough method for wind data generation, earning finalist spot for ADIA Lab’s climate science award.
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.
A high-resolution boost for global climate modeling 1 min read · Sun, Sep 15 2024 News Clip News New statistical approach enables fast approximations of global surface temperatures at unprecedented spatial and temporal resolution.
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.
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