Big Data Assimilation

At RIKEN, we study the fusion of big data and big computation in numerical weather prediction (NWP) and with AI and machine learning (ML). We push the limits of NWP through two orders of magnitude bigger computations using the previous Japan’s flagship “K computer”. The efforts include 100-m mesh, 30-second update “Big Data Assimilation” (BDA) fully exploiting the big data from a novel Phased Array Weather Radar. With the new “Fugaku” since 2021, we achieved a real-time BDA application to predict sudden downpours up to 30 minutes in advance during Tokyo Olympics and Paralympics. I will introduce the most recent results from BDA experiments, followed by perspectives toward DA-AI fusion and expanding new applications beyond meteorology.

Speaker:
Dr. Takemasa Miyoshi

Dr. Miyoshi received Ph.D. (2005) in meteorology from the University of Maryland (UMD). and since 2012 he leads the Data Assimilation Research Team in RIKEN Center for Computational Science (R-CCS).