*Hiromu Seko1,2 (1.Meteorological Research Institute, 2.Japan Agency for Marine-Earth Science and Technology)
Session information
[EE] Poster
A (Atmospheric and Hydrospheric Sciences) » A-AS Atmospheric Sciences, Meteorology & Atmospheric Environment
[A-AS12] [EE] High performance computing for next generation weather, climate, and environmental sciences using K
Sat. May 20, 2017 3:30 PM - 5:00 PM Poster Hall (International Exhibition Hall HALL7)
convener:Hiromu Seko(Meteorological Research Institute), Takemasa Miyoshi(RIKEN Advanced Institute for Computational Science), Chihiro Kodama(Japan Agency for Marine-Earth Science and Technology), Masayuki Takigawa(Japan Agency for Marine-Earth Science and Technology)
The K computer (the fastest supercomputer in Japan) started in 2012 at RIKEN, and a lot of advanced simulation studies are being conducted in various fields including meteorology. The K computer enables us to conduct numerical simulations with an order of magnitude higher resolutions and ensemble numbers than those with previous supercomputers, data assimilations of observation big-data (huge high-density and high-frequency data), and new research areas emerge in meteorology. In addition, the post-K computer will be available in 2021 as a successor of K, and studies for the post-K computer have also started.
At the Atmospheric Science Session co-organized by the Meteorological Society of Japan, we comprehensively pick up these topics in the Atmospheric and Hydrospheric Sciences Session of this 2017 Union Meeting that enables to comprise the atmospheric, oceanic and land sciences. This session aims to promote recent studies related to the issues on high performance computing in weather, climate, and environmental studies using the K computer and other supercomputers, and to enhance discussions on future directions of numerical simulations in meteorology.
*Tsutao OIZUMI1, Kazuo Saito2,1, Junshi Ito2, Le Duc1 (1.Japan Agency for Marine-Earth Science and Technology, 2.Meteorological Research Institute)
*Eigo Tochimoto1, Sho Yokota2, Hiroshi Niino1, Wataru Yanase1 (1.Atmosphere and Ocean Research Institute, The University of Tokyo, 2.Meteorological Research Institute, Japan Meteorological Agency)
*Le Duc1, Kazuo Saito2 (1.Japan Agency for Marine-Earth Science and Technology, 2.Meteorological Research Institute)
*Atsushi Okazaki1, Takumi Honda1, Shunji Kotsuki1, Takemasa Miyoshi1 (1.RIKEN Advanced Institute for Computational Science)
*Yasumitsu Maejima1, Takemasa Miyoshi1,2 (1.RIKEN Advanced Institute for Computational Science, 2. University of Maryland, College Park)
*Koji Terasaki1, Shunji Kotsuki1, Takemasa Miyoshi1 (1.RIKEN Advanced Institute for Computational Science)
*Yousuke Yamashita1, Masayuki Takigawa1, Kentaro Ishijima1, Hideharu Akiyoshi2, Hisashi Yashiro3, Masaki Satoh4 (1.Japan Agency for Marine-Earth Science and Technology, 2.National Institute for Environmental Studies, 3.RIKEN Advanced Institute for Computational Science (AICS), 4.Atmosphere and Ocean Research Institute, The University of Tokyo)
*Yamaura Tsuyoshi1, Hirofumi Tomita1 (1.RIKEN Advanced Institute for Computational Science)
*Jeongbyn Seo1, Myungsu Yu1, Younghyun Cho1, Aesook Suh1 (1.Hydrometeorological Cooperation Center)
[AAS12-P11] Some advances in the upwind hybridized discontinuous Galerkin method for dynamical cores
Shinhoo Kang1, Sriram Krishnan1, Stephen Shannon1, *Tan Bui-Thanh1 (1.University of Texas at Austin)