|
大気水圏科学(A)
|
|
セッション小記号
|
大気科学・気象学・大気環境(AS)
|
|
セッションID
|
A-AS01
|
|
タイトル
|
和文
|
高性能計算が拓く気象気候科学/日欧連携研究”HANAMI"
|
|
英文
|
Weather and Climate Studies Using High-Performance Computing: With a Special Session on "HANAMI"
|
|
タイトル短縮名
|
和文
|
高性能計算が拓く大気科学
|
|
英文
|
Weather/Climate Studies using HPC
|
|
代表コンビーナ
|
氏名
|
和文
|
八代 尚
|
|
英文
|
Hisashi Yashiro
|
|
所属
|
和文 |
国立研究開発法人国立環境研究所 |
|
英文
|
National Institute for Environmental Studies
|
|
共同コンビーナ 1
|
氏名
|
和文
|
Samuel Edward Hatfield
|
|
英文
|
Samuel Edward Hatfield
|
|
所属
|
和文
|
European Centre for Medium-Range Weather Forecasts
|
|
英文
|
European Centre for Medium-Range Weather Forecasts
|
|
共同コンビーナ 2
|
氏名
|
和文
|
中野 満寿男
|
|
英文
|
Masuo Nakano
|
|
所属
|
和文
|
海洋研究開発機構
|
|
英文
|
Japan Agency for Marine-Earth Science and Technology
|
|
共同コンビーナ 3
|
氏名
|
和文
|
宮川 知己
|
|
英文
|
Miyakawa Tomoki
|
|
所属
|
和文
|
東京大学大気海洋研究所
|
|
英文
|
Atmosphere and Ocean Research Institute, The University of Tokyo
|
|
共同コンビーナ 4
|
氏名
|
和文
|
MARIO ACOSTA
|
|
英文
|
MARIO ACOSTA
|
|
所属
|
和文
|
Barcelona Supercomputing Centre
|
|
英文
|
Barcelona Supercomputing Centre
|
|
共同コンビーナ 5
|
氏名
|
和文
|
Joachim Biercamp
|
|
英文
|
Joachim Biercamp
|
|
所属
|
和文
|
Deutsches Klimarechenzentrum GmbH
|
|
英文
|
Deutsches Klimarechenzentrum GmbH
|
|
共同コンビーナ 6
|
氏名
|
和文
|
川畑 拓矢
|
|
英文
|
Takuya Kawabata
|
|
所属
|
和文
|
気象研究所
|
|
英文
|
Meteorological Research Institute
|
|
共同コンビーナ 7
|
氏名
|
和文
|
富田 浩文
|
|
英文
|
Hirofumi Tomita
|
|
所属
|
和文
|
理化学研究所計算科学研究センター
|
|
英文
|
RIKEN/ Center for Computational Science
|
|
共同コンビーナ 8
|
氏名
|
和文
|
小玉 知央
|
|
英文
|
Chihiro Kodama
|
|
所属
|
和文
|
国立研究開発法人海洋研究開発機構
|
|
英文
|
Japan Agency for Marine-Earth Science and Technology
|
|
共同コンビーナ 9
|
氏名
|
和文
|
那須野 智江
|
|
英文
|
Tomoe Nasuno
|
|
所属
|
和文
|
国立研究開発法人 海洋研究開発機構
|
|
英文
|
Japan Agency for Marine-Earth Science and Technology
|
|
発表言語
|
E
|
|
スコープ
|
和文
|
High-performance computing (HPC) supports today's weather, climate, and environmental research by enabling higher resolution, larger domains, ensemble simulations, and sophisticated physical processes. As computer architectures evolve, close collaboration between atmospheric and computational sciences has become increasingly essential. From FY2025, the design and development of Japan's next flagship machine following the supercomputer "Fugaku" has begun, requiring the active use of accelerators such as GPUs. HPC is also driving innovation in data science, where data assimilation using observation big data and AI integration has achieved remarkable progress. Co-hosted with the Meteorological Society of Japan, this session calls for research on weather, climate, and environmental science that focuses on "computation," including numerical modeling, big data analysis, data assimilation, and AI. Participants will share prospects and challenges for atmospheric science research using HPC.
This year, we will also hold a special session on the HANAMI project. Funded by the EuroHPC Joint Undertaking, this project unites European and Japanese researchers to address key scientific challenges through HPC. Its Work Package 4 focuses on weather and climate simulation, including reproducibility and verification of climate models, benchmarking of supercomputers, and advanced local cloud-resolving simulations. Beyond reporting HANAMI's achievements, we aim to explore next-generation collaboration opportunities between Europe and Japan-leveraging upcoming supercomputers to improve extreme weather prediction, reduce uncertainties in long-term projections, and contribute to societal goals such as disaster risk reduction and carbon neutrality. Through these discussions, we seek to strengthen international cooperation and establish a sustainable foundation for advancing computational atmospheric science.
|
|
英文
|
High-performance computing (HPC) supports today's weather, climate, and environmental research by enabling higher resolution, larger domains, ensemble simulations, and sophisticated physical processes. As computer architectures evolve, close collaboration between atmospheric and computational sciences has become increasingly essential. From FY2025, the design and development of Japan's next flagship machine following the supercomputer "Fugaku" has begun, requiring the active use of accelerators such as GPUs. HPC is also driving innovation in data science, where data assimilation using observation big data and AI integration has achieved remarkable progress. Co-hosted with the Meteorological Society of Japan, this session calls for research on weather, climate, and environmental science that focuses on "computation," including numerical modeling, big data analysis, data assimilation, and AI. Participants will share prospects and challenges for atmospheric science research using HPC.
This year, we will also hold a special session on the HANAMI project. Funded by the EuroHPC Joint Undertaking, this project unites European and Japanese researchers to address key scientific challenges through HPC. Its Work Package 4 focuses on weather and climate simulation, including reproducibility and verification of climate models, benchmarking of supercomputers, and advanced local cloud-resolving simulations. Beyond reporting HANAMI's achievements, we aim to explore next-generation collaboration opportunities between Europe and Japan-leveraging upcoming supercomputers to improve extreme weather prediction, reduce uncertainties in long-term projections, and contribute to societal goals such as disaster risk reduction and carbon neutrality. Through these discussions, we seek to strengthen international cooperation and establish a sustainable foundation for advancing computational atmospheric science.
|
|
発表方法
|
口頭および(または)ポスターセッション
|