Japan Geoscience Union Meeting 2022

Session information

[E] Oral

A (Atmospheric and Hydrospheric Sciences ) » A-AS Atmospheric Sciences, Meteorology & Atmospheric Environment

[A-AS05] Weather, Climate, and Environmental Science Studies using High-Performance Computing

Mon. May 23, 2022 10:45 AM - 12:15 PM 106 (International Conference Hall, Makuhari Messe)

convener:Hisashi Yashiro(National Institute for Environmental Studies), convener:Takuya Kawabata(Meteorological Research Institute), Tomoki Miyakawa(Atmosphere and Ocean Research Institute, The University of Tokyo), convener:Koji Terasaki(RIKEN Center for Computational Science), Chairperson:Koji Terasaki(RIKEN Center for Computational Science)

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 an expansion of the range of feasible simulations, including higher resolution, wider computational domains, more ensemble sizes, and the use of more sophisticated physical processes. Supercomputers have also made significant progress in data science, with research into data assimilation techniques using high-frequency high-density observations and the combined use of simulation and Artificial Intelligence (AI). New Japanese flagship supercomputer Fugaku began the operation in 2021, and it supports producing many new research results with its world-beating computing performance. This session calls for research topics in atmospheric and hydrospheric studies using supercomputers, 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.

10:45 AM - 11:00 AM

*Takemasa Miyoshi1, Arata Amemiya1, Takumi Honda1, Shigenori Otsuka1, Yasumitsu Maejima1, James Taylor1, Hirofumi Tomita1, Seiya Nishizawa1, Kenta Sueki1, Tsuyoshi Yamaura1, Yutaka Ishikawa2, Shinsuke Satoh3, Tomoo Ushio4, Kana Koike5, Erika Hoshi5 (1.RIKEN, 2.National Institute of Informatics, 3.National Institute of Information and Communications Technology, 4.Osaka University, 5.MTI Ltd.)

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