Session Details
[A-AS12][EE] High performance computing for next generation weather, climate, and environmental sciences using K
Sat. May 20, 2017 5:15 PM - 6:30 PM JST
Sat. May 20, 2017 8:15 AM - 9:30 AM UTC
Sat. May 20, 2017 8:15 AM - 9:30 AM UTC
Poster Hall International Exhibition Hall HALL7_9
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.
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.
[AAS12-P01]Innovative numerical weather predictions and advanced weather disaster prevention based on damage-level estimation
*Hiromu Seko1,2 (1.Meteorological Research Institute, 2.Japan Agency for Marine-Earth Science and Technology)
[AAS12-P02]An Ultra-high Resolution Numerical Weather Prediction with a Large Domain: Case Study of the Izu Oshima Heavy Rainfall Event in October 2013
*Tsutao OIZUMI1, Kazuo Saito2,1, Junshi Ito2, Le Duc1 (1.Japan Agency for Marine-Earth Science and Technology, 2.Meteorological Research Institute)
[AAS12-P03]Multi-scale Structure of A Meso-beta-scale Vortex that Caused Sudden Gusty Winds Over the Sea of Japan:A Case Study on 1 September 2015
*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)
[AAS12-P04]A 4DEnVAR data assimilation system without vertical localization using the K computer
*Le Duc1, Kazuo Saito2 (1.Japan Agency for Marine-Earth Science and Technology, 2.Meteorological Research Institute)
[AAS12-P05]Data assimilation of dense precipitation radar observations: a simulation study
*Atsushi Okazaki1, Takumi Honda1, Shunji Kotsuki1, Takemasa Miyoshi1 (1.RIKEN Advanced Institute for Computational Science)
[AAS12-P06]Impacts of dense surface observations on predicting torrential rainfalls on September 9, 2015 around Tochigi and Ibaraki prefectures
*Yasumitsu Maejima1, Takemasa Miyoshi1,2 (1.RIKEN Advanced Institute for Computational Science, 2. University of Maryland, College Park)
[AAS12-P07]Two-year analysis experiments with NICAM-LETKF
*Koji Terasaki1, Shunji Kotsuki1, Takemasa Miyoshi1 (1.RIKEN Advanced Institute for Computational Science)
[AAS12-P08]The multi-resolution estimation of stratosphere-troposphere exchange simulated with the K computer
*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)
[AAS12-P09]Optimum numerical calculation with mixed precision floating point number for a regional shallow-water model
*Yamaura Tsuyoshi1, Hirofumi Tomita1 (1.RIKEN Advanced Institute for Computational Science)
[AAS12-P10]Simulation skills of the Unified Model 3.0 (UM3.0) for heavy rainfall over South Korea
*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)