*Tsutao OIZUMI1,2, Kazuo Saito1,3,2, Duc Le1,2, Junshi Ito3,2 (1.The Japan Meteorological Business Support Center, 2.Meteorological Research Institute, 3.The Atmosphere and Ocean Research Institute)
Session information
[E] Poster
A (Atmospheric and Hydrospheric Sciences ) » A-AS Atmospheric Sciences, Meteorology & Atmospheric Environment
[A-AS01] High performance computing for next generation weather, climate, and environmental sciences
convener:Hiromu Seko(Meteorological Research Institute), Takemasa Miyoshi(RIKEN), Chihiro Kodama(Japan Agency for Marine-Earth Science and Technology), Masayuki Takigawa(Japan Agency for Marine-Earth Science and Technology)
A lot of advanced simulation studies are being conducted by high performance supercomputers, such as K computer and Earth Simulator, in various fields including meteorology. The high performance supercomputers enable us to conduct numerical simulations and data assimilation of observation big-data (huge high-density and high-frequency data) with a few orders of magnitude higher resolutions and ensemble numbers than those with the previous supercomputers. In addition, the post-K computer, Fugaku will be available as a successor of K, and studies for the Fugaku computer are in progress. At this session, we comprehensively pick up the topics in the Atmospheric and Hydrospheric Sciences Sessions of the 2020 Union Meeting that 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, study plans using the Fugaku computer, and to enhance discussions on future directions of numerical simulations in meteorology.
*James David Taylor1, Guo-Yuan Lien3, Shinsuke Satoh2, Takemasa Miyoshi1 (1.RIKEN Research center for computational science, 2.NICT National Institute of Information and Communications Technology, 3.Central Weather Bureau)
[AAS01-P03] Toward assimilation of dense and frequent 3-D lightning location data on a severe local rainfall forecast
★Invited Papers
*Yasumitsu Maejima1, Tomoo Ushio2, Takemasa Miyoshi1 (1.RIKEN Center for Computational Science, 2.Graduate School of Engineering, Osaka University)
[AAS01-P04] Simulation of fog in Tokyo Bay: the role of atmosphere-ocean-river interaction
★Invited Papers
*Kohei Takatama1, Takemasa Miyoshi1 (1.RIKEN)
*Le Duc1,2 (1.JMBSC, 2.MRI)
*Zhicha Zhang1,2, Changjian Ni1,2 (1.Chengdu University of Information Technology, 2.Plateau Atmospheres and Environment Key Laboratory of Sichuan Province)
*Wei Wei1 (1.Chinese Academy of Meteorological Sciences)
[AAS01-P08] The resent progress of the weather forecast system based on the NICAM-LETKF assimilation system
★Invited Papers
*Ying-Wen Chen1, Koji Terasaki2, Shunji Kotsuki3, Kaya Kanemaru4, Masaki Satoh1, Takemasa Miyoshi2, Takuji Kubota5 (1.Atmospheric and Ocean Research Institute, The University of Tokyo , 2.Center for Computational Science, RIKEN, 3.Chiba University, 4.National Institute of Information and Communications Technology, 5.Japan Aerospace Exploration Agency)