LUMS Faculty Becomes First Pakistani to Win the Gordon Bell Prize in Climate Modelling
Scientists across the globe have warned that global warming, caused by the human overconsumption of fossil fuels, is reaching a crisis point. This has resulted in bigger and more severe storms, hurricanes, droughts, and wildfires globally, as well as a loss of biodiversity. All these add to a worsening climatic crisis that the world is in today. Therefore, the need to address these issues has become significant as never before.
A multi-institutional team of researchers from across the globe recently came together to find a solution, and developed an ExaScale Climate Emulator: a breakthrough that leverages AI and high-performance computing to enhance climate modelling accuracy and efficiency. Presenting their findings at the Association for Computing Machinery (ACM) conference in Atlanta this November, the 12-member team won the ACM Gordon Bell Prize for Climate Modelling for their project titled “Boosting Earth System Model Outputs and Saving PetaBytes in Their Storage Using Exascale Climate Emulators.” The award recognises innovative parallel computing contributions toward solving the global climate crisis.