Session Details
[A-AS07]Weather, Climate, and Environmental Science Studies using High-Performance Computing
Fri. Jun 4, 2021 5:15 PM - 6:30 PM JST
Fri. Jun 4, 2021 8:15 AM - 9:30 AM UTC
Fri. Jun 4, 2021 8:15 AM - 9:30 AM UTC
Ch.07_3
convener:Hisashi Yashiro(National Institute for Environmental Studies), Takuya Kawabata(Meteorological Research Institute), Tomoki Miyakawa(Atmosphere and Ocean Research Institute, The University of Tokyo), 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 supercomputers such as the Earth Simulator and the K computer. 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). The supercomputer Fugaku is scheduled to begin full operation in fiscal 2021, and it is expected to produce many new research results with its world-beating computing performance.
This session calls for research topics in the 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.
This session calls for research topics in the 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.
[AAS07-P01]1000-member ensemble forecasts for extreme events: the 2019 typhoon Hagibis and the July 2020 Kyushu heavy rain★Invited Papers
*Le Duc1, Takuya Kawabata2, Kazuo Saito1,2,3, Tsutao Oizumi1,2 (1.Japan Meteorological Business Support Center, 2.Meteorological Research Institute, 3.Atmosphere and Ocean Research Institute, University of Tokyo)
[AAS07-P02]Flood prediction with the JMA Runoff model and 1000-member weather forecast★Invited Papers
*Tsutao OIZUMI1,2, Le Duc1,2, Kenichiro Kobayashi4,2, Takuya Kawabata2, Kazuo Saito1,3,4 (1.Japan Meteorological Business Support Center, 2.Meteorological Research Institute, 3.The Atmosphere and Ocean Research Institute, 4.Kobe University)
[AAS07-P03]Overview of global scale large ensemble simulations using NICAM on Fugaku
*Tomoki Miyakawa1, Yohei Yamada2, Tamaki Suematsu1, Ryusuke Masunaga1, Daisuke Takasuka3, Masuo Nakano2, Chihiro Kodama2, Hisashi Yashiro4, Masaki Satoh1, Takemasa Miyoshi5, Takanori Kodama6, Takao Kawasaki1 (1.Atmosphere and Ocean Research Institute, The University of Tokyo, 2.Japan Agency for Marine-Earth Science and Technology, 3.Ochanomizu University, 4.National Institute for Environmental Studies, 5.RIKEN Center for Computational Science, 6.Graduate School of Arts and Sciences, The University of Tokyo)
[AAS07-P04]System-Application Co-design for Supercomputer Fugaku and Global Ensemble Weather Data Assimilation
*Hisashi Yashiro1,2, Koji Terasaki2, Yuta Kawai2, Shuhei Kudo2, Takemasa Miyoshi2, Toshiyuki Imamura2, Kazuo Minami2, Masuo Nakano3, Chihiro Kodama3, Masaki Satoh4, Hirofumi Tomita2 (1.National Institute for Environmental Studies, 2.RIKEN Center for Computational Science, 3.Japan Agency for Marine-Earth Science and Technology, 4.Atmosphere and Ocean Research Institute, University of Tokyo)
[AAS07-P05]The impact of topography on the initial error growth associated with moist convection
*Pin-Ying Wu1, Tetsuya Takemi1 (1.Kyoto University)
<img src="https://confit-sfs.atlas.jp/customer/jpgu2021/web/OSPA.png"><br/>
[AAS07-P06]Future projection of extreme precipitation by using CMIP6 ensemble data downscaled at finer scales over South Korea
Manh Van Doi1, *Jongho Kim1 (1.University of Ulsan)
[AAS07-P07]Simulating rapid water level decrease of Lake Biwa due to Typhoon Jebi (2018)
*Kohei Takatama1, John Wells2, Yusuke Uchiyama3, Takemasa Miyoshi1 (1.RIKEN, 2.Ritsumeikan University, 3.Kobe University)
[AAS07-P08]Sensitivity to orography smoothing in numerical weather simulations over
high elevation Himalayan mountains
*Akihiro Hashimoto1, Orie Sasaki2, Akiko Sakai2, Koji Fujita2 (1.Meteorological Research Institute, 2.Nagoya University)
[AAS07-P09]Application of the microphysics process-tracking scheme to simulations of the intense snowfall event in early 2018, Japan
*Akihiro Hashimoto1, Katsuya Yamashita2, Masaaki Ishizaka2, Hiroki Motoyoshi2, Sento Nakai2, Satoru Yamaguchi2 (1.Meteorological Research Institute, 2.National Research Institute for Earth Science and Disaster Resilience)
[AAS07-P10]Predictability of the July 2018 Heavy Rain Event in Japan Associated with Typhoon Prapiroon and Southern Convective Disturbances
*Takumi Honda1, Takemasa Miyoshi1,2 (1.RIKEN Center for for Computational Science, 2.RIKEN Cluster for Pioneering Research)