“Big Data Assimilation: Real-time 30-second-refresh Heavy Rain Forecast Using Fugaku During Tokyo Olympics and Paralympics” is a finalist for the 2023 Gordon Bell Prize for Climate Modelling

The research achievement of real-time 30-second-refresh Heavy Rain Forecast During Tokyo Olympics and Paralympics Using Fugaku by Takemasa Miyoshi, Team Leader, Data Assimilation Research Team, and Hirofumi Tomita, Team Leader, Computational Climate Science Research Team, RIKEN Center for Computational Science (R-CCS), have been nominated as a finalist for the Gordon Bell Prize for Climate Modelling from the Association for Computing Machinery (ACM). The Gordon Bell Prize is given for outstanding achievement in high-performance parallel computing in a given year.

I would be really delighted and proud that our research was selected as a finalist of the Gordon Bell Prize for Climate Modelling. Our research was started in October 2013 using the K computer and achieved a real-time application in 2021 using Fugaku. This research developed an innovative "Big Data Assimilation" technology combining Big Data from new sensors and Big Simulation from next-generation supercomputers. The Data Assimilation Research Team was founded in October 2012, and I moved to Kobe from Maryland, USA to lead the team. I have a special feeling about the time and place that coincide with the novel phased array weather radar developed in Osaka in summer 2012 and with the K computer whose operations started in Kobe in September 2012.