*Yohei Yamada1, Chihiro Kodama1, Masaki Satoh2,1, Masato Sugi3, Malcolm J Roberts4, Ryo Mizuta3, Akira T Noda1, Tomoe Nasuno1, Masuo Nakano1, Pier-Luigi Vidale5 (1.Japan Agency for Marine-Earth Science and Technology, 2.Atmosphere and Ocean Research Institute, The University of Tokyo, 3.Meteorological Research Institute, Japan Meteorological Agency, 4.UK MetOffice, 5.University of Reading)
Session information
[E] Oral
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.
*Masuo Nakano1, Ying-Wen Chen2, Masaki Satoh2 (1.JAMSTEC Japan Agency for Marine-Earth Science and Technology, 2.AORI / The University of Tokyo)
*Tomoki Miyakawa1 (1.Atmosphere and Ocean Research Institute University of Tokyo)
*Shigenori Otsuka1, Yasumitsu Maejima1, Pierre Tandeo2, Takemasa Miyoshi1 (1.RIKEN Center for Computational Science, 2.IMT Atlantique)
[AAS01-11] Parameterization of Subgrid Momentum Transport Using a Global Cloud Resolving Model and AI
★Invited Papers
*Haruna Tone1, Masaki Satoh2, Junshi Ito2 (1.School of Science, The University of Tokyo, 2.Atmosphere and Ocean Research Institute, The University of Tokyo)
*Maha Mdini1, Shigenori Otsuka1, Takemasa Miyoshi1 (1.RIKEN Center for Computational Science)