Japan Geoscience Union Meeting 2018

Session information

[EE] Evening 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

Sun. May 20, 2018 5:15 PM - 6:30 PM Poster Hall (International Exhibition Hall7, Makuhari Messe)

convener:Hiromu Seko(Meteorological Research Institute), Chihiro Kodama(Japan Agency for Marine-Earth Science and Technology), Masayuki Takigawa(独立行政法人海洋研究開発機構, 共同), Takemasa Miyoshi(RIKEN Advanced Institute for Computational Science)

A lot of advanced simulation studies are being conducted by high performance supercomputers such as K computer, Earth Simulator in various fields including meteorology. The high performance supercomputers enables us to conduct numerical simulations and data assimilation of observation big-data (huge high-density and high-frequency data) with an order of magnitude higher resolutions and ensemble numbers than those with previous supercomputers. In addition, the post-K computer will be available as a successor of K, and studies for the post-K computer was started. At the Atmospheric Science session co-organized by the Meteorological Society of Japan, we comprehensively pick up this topic in the Atmospheric and Hydrospheric Sciences Session of this 2018 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.

*Chihiro Kodama1, Masaki Satoh2,1, Tomoki Ohno1, Akira T Noda1, Hisashi Yashiro3, Yohei Yamada1, Masuo Nakano1, Tatsuya Seiki1, Tomoe Nasuno1, Ying-Wen Chen2, Tomoki Miyakawa2, Masato Sugi4, Woosub Roh2 (1.Japan Agency for Marine-Earth Science and Technology, 2.Atmosphere and Ocean Research Institute, the University of Tokyo, 3.RIKEN Advanced Institute for Computational Science, 4.Meteorological Research Institute)

*Kristine Mae Rodriguez Carnicer1,3, Rui Fernandes2, Edgar Vallar1, Maria Cecilia Galvez1 (1.Environment and RemoTe sensing ResearcH (EARTH) Laboratory, Physics Department, De La Salle University, Philippines, 2.Space and Earth Geodetic Analysis Laboratory (SEGAL), University of Biera Interior, Portugal, 3.Ateneo de Davao University, Philippines)

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