Dr. Takemasa Miyoshi

Team Leader of Data Assimilation Research Team, RIKEN Advanced Institute for Computational Science, Japan

http://data-assimilation.riken.jp/~miyoshi/resume.php

Data Assimilation was introduced in numerical weather prediction to combine computer model forecasts with real-world observations, using dynamical systems theory and statistical mathematics. Computing, remote sensing, and information/communication technologies are all advancing rapidly, and Data Assimilation is becoming more popular as a means to perform cyber-physical fusion in other sciences and technology fields. At RIKEN, the Japan’s flagship research institute for all sciences, we pioneered future possibilities of numerical weather prediction by taking advantage of the powerful K computer, and Big Data from advanced sensing technologies such as the Phased Array Weather Radar and the Himawari-8 geostationary satellite. We thus developed innovative “Big Data Assimilation” (BDA) technology, and made possible a 30-second-update of severe weather prediction at 100-m resolution, two orders of magnitude higher and faster than what is currently used in operational numerical weather prediction centers. I will talk about the exciting results of our BDA efforts in numerical weather prediction, and give a perspective towards Data Assimilation becoming a new science hub – from severe weather forecasting to many other new important applications.