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Departmental Seminar
March 15, 2018

Advancing Data Assimilation as a Science Hub

Takemasa Miyoshi
Data Assimilation Research Team, RIKEN

Data assimilation plays a key role in numerical weather prediction, combining computer models with real-world data through dynamical systems theory and statistical mathematics. Computing, sensing, and information/communication technologies are advancing rapidly, and data assimilation is becoming more popular as a means of cyber-physical fusion in broader science and technology fields. At RIKEN, the Japan’s flagship research institute for all sciences, we have been pioneering the future possibilities of numerical weather prediction by taking advantage of the powerful K supercomputer and Big Data from advanced sensing technologies such as the phased array weather radar and Himawari-8 geostationary satellite, at the scales ranging from global to convective at the resolution as high as 100 m. We have been further exploring new applications of data assimilation to brain, medical, biological, and ecological sciences as well as engineering applications, and identified common denominators. To expand the community, we organized educational programs highlighted by the RIKEN International School on Data Assimilation (RISDA 2018), January 22-26, 2018, the first of the series to be held every other year in Germany (2020) and San Diego, CA (2022). I will talk about some excitement of RIKEN’s activities on data assimilation as a science hub – from severe weather forecasting and beyond.