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
時間 講演番号 タイトル 発表者
口頭発表 5月26日 PM2
15:30 - 15:45 AAS01-01 Numerical climate model replicability on supercomputers Kai Keller
15:45 - 16:00 AAS01-02 有効解像度に基づく高次精度大気力学コアの計算コスト評価: 不連続 Galerkin 法と従来的な有限体積法の比較 河合 佑太
16:00 - 16:15 AAS01-03 Meaningful Benchmarks of Supercomputers for Weather and Climate Applications with HPCW Samuel Edward Hatfield
16:15 - 16:30 AAS01-04 Integrating Kilometer-Scale Simulations with Explainable AI for Accelerated Local Climate Impact Assessment over Complex Terrain Min-Ken Hsieh
16:30 - 16:45 AAS01-05 Tidal Effects on Interannual Ocean Variability in a Multi-Year High-Resolution (5 km) Global Simulation Lin Lin
16:45 - 17:00 AAS01-06 Typhoon track control experiments using a differentiable global climate model: A case study of Typhoon Jebi (2018) 中野 満寿男
講演番号 タイトル 発表者
ポスター発表 5月26日 PM3
AAS01-P01 Resolution dependency of global extreme windspeed in a global non-hydrostatic atmospheric model 小玉 知央
AAS01-P02 Southeast Asian climate and weather extremes simulated by the nextGEMS Earth system models Shunya Koseki
AAS01-P03 How does topography influence urban wind CFD LES: a Bristol case study. Alvaro Manzano Sevillano
AAS01-P04 Operationalizing Real-Time Emission Monitoring in Africa: Multi-Country Deployment of the AOCEMS Platform Rohit Khattar
AAS01-P05 Comparing different meteorological drivers for the LOTOS-EUROS air quality modelling system Michael A. Russo
AAS01-P06 High-resolution climate change modelling for renewable energy forecasting Michael A. Russo