5:15 PM - 6:45 PM
[A-AS08] Weather, Climate, and Environmental Science Studies using High-Performance Computing
High-performance computing (HPC) is one of the fundamental research tools supporting Today's meteorology, climate change research, and environmental sciences. Cutting-edge simulation studies have been carried out using state-of-the-art supercomputers. These big computers have contributed to expanding the range of feasible simulations, including higher resolution, wider computational domains, more ensemble sizes, and the use of more sophisticated physical processes. From 2022, feasibility research for Japan's next flagship machine following "Fugaku" has started, and we are discussing what our application software expects from the next-generation computing infrastructure.
HPC has also demonstrated its power in data science, and remarkable progress has been made in research on data assimilation techniques using high-frequency high-density observations, and combined use of simulation and Artificial Intelligence (AI). Recently, the concept of "digital twin" has been focused on, and the construction of research/analysis platforms, including HPC, data infrastructure, and social cooperation, is required.
This session calls for research topics in atmospheric and hydrospheric studies using HPC, such as numerical modeling, big-data analysis, data assimilation, and AI. The participants can share future perspectives on atmospheric science research using HPC and the challenges to be addressed.
HPC has also demonstrated its power in data science, and remarkable progress has been made in research on data assimilation techniques using high-frequency high-density observations, and combined use of simulation and Artificial Intelligence (AI). Recently, the concept of "digital twin" has been focused on, and the construction of research/analysis platforms, including HPC, data infrastructure, and social cooperation, is required.
This session calls for research topics in atmospheric and hydrospheric studies using HPC, such as numerical modeling, big-data analysis, data assimilation, and AI. The participants can share future perspectives on atmospheric science research using HPC and the challenges to be addressed.