2024 Annual Meeting

Presentation information

Planning Lecture

Technical division and Network » Computational Science and Engineering Division

[3M_PL] Future of Data Assimilation

Possibilities and Challenges for Nuclear Power

Thu. Mar 28, 2024 1:00 PM - 2:30 PM Room M (21Bildg.4F 21-424)

Chair:Masaaki Suzuki(Chukyo Univ.)

[3M_PL02] Frontier and future perspective of data assimilation research

*Takemasa Miyoshi1 (1. RIKEN)

To improve the safety and cost-effectiveness of nuclear technology, advanced simulation techniques and enhanced reliability are crucial. Data assimilation technology that integrates simulation and real-world data to enhance predictive accuracy has gained significant attention across diverse fields especially in meteorology. This session explores the fundamentals of data assimilation techniques, present recent developments in meteorological applications and discuss their potential relevance to the nuclear domain.

Abstract password authentication.
Password is required to view the abstract. Please enter a password to authenticate.

Password