Atmospheric and Hydrospheric Sciences(A)
Session Sub-categoryAtmospheric Sciences, Meteorology & Atmospheric Environment
Session IDA-AS01
TitleHigh performance computing for next generation weather, climate, and environmental sciences
Short TitleHPC for meteorological sciences
Main ConvenerNameHiromu Seko
AffiliationMeteorological Research Institute
Co-Convener 1NameChihiro Kodama
AffiliationJapan Agency for Marine-Earth Science and Technology
Co-Convener 2NameMasayuki Takigawa
AffiliationJapan Agency for Marine-Earth Science and Technology
Co-Convener 3NameTakemasa Miyoshi
AffiliationRIKEN Advanced Institute for Computational Science
Session LanguageEE
ScopeA 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.
Presentation FormatOral and Poster presentation
Co-Sponsoring Societies
(Society Members)
Meteorological Society of Japan
Invited Authors
  • Eigo Tochimoto (Atmosphere and Ocean Research Institute, The University of Tokyo)
  • Yosuke Alexandre Yamashiki (Earth & Planetary Water Resources Assessment Laboratory Graduate School of Advanced Integrated Studies in Human Survivability Kyoto University)
  • Shin Fukui (Tohoku University, Meteorological Research Institute)
  • Koji Terasaki (RIKEN Advanced Institute for Computational Science)
  • Kentaro Ishijima (JAMSTEC)
  • Guo-Yuan Lien (RIKEN Advanced Institute for Computational Science)
Time Presentation No Title Presenter Abstract
Oral Presentation May 20 PM1
13:45 - 14:00 AAS01-01A nestable, multigrid-friendly grid on a sphere for global spectral models based on Clenshaw-Curtis quadratureDaisuke Hotta Abstract
14:00 - 14:15 AAS01-02Grid Adaptation Using Genetic Algorithm with High-Performance Computing for Numeric Weather PredictionsWeiming Hu Abstract
14:15 - 14:30 AAS01-03Fine-scale Structures of Meso-β-scale Vortices that Cause Tornado-like VorticesEigo Tochimoto Abstract
14:30 - 14:45 AAS01-04Turbulence at Narita Airport in a real case simulated by a numerical weather prediction modelJunshi Ito Abstract
14:45 - 15:00 AAS01-05Development od Hydro-debris2D into debris flow predictionYosuke Alexandre Yamashiki Abstract
15:00 - 15:15 AAS01-06The simulations of the forest fire emission and its impact on the long-range transport of aerosols using the K computerYousuke Yamashita Abstract
Oral Presentation May 20 PM2
15:30 - 15:45 AAS01-07Assimilating Himawari-8 infrared radiances to improve convective predictabilityYohei Sawada Abstract
15:45 - 16:00 AAS01-08On the importance of assimilating cloudy-sky infrared radiances from Himawari-8 for heavy rainfall predictionTakumi Honda Abstract
16:00 - 16:15 AAS01-09Assimilation and evaluation of all-sky infrared radiances of Himawari-8Kozo OKAMOTO Abstract
16:15 - 16:30 AAS01-10Impacts of dense surface observations on predicting a torrential rainfall event on September 9 and 10, 2015 in the east Japan areaYasumitsu Maejima Abstract
16:30 - 16:45 AAS01-11Impacts of assimilating the typhoon best-track data on the regional reanalysis of the Kanto-Tohoku heavy rainfall in September 2015Shin Fukui Abstract
16:45 - 17:00 AAS01-12Sensitivity of WRF model estimates to choice of Land use Land cover and Reanalysis dataset over IndiaPreeti Gunwani Abstract
Presentation No Title Presenter Abstract
Poster Presentation May 20 Core Time
AAS01-P01 Development of a parallel spherical harmonic transform library: design and performance (preliminary) Fuyuki SAITO Abstract
AAS01-P02 Preliminary results of a high-resolution climate simulation using the Non-hydrostatic Icosahedral Atmospheric Model, NICAM, for CMIP6 HighResMIP Chihiro Kodama Abstract
AAS01-P03 Accounting for the observation error correlation in data assimilation Koji Terasaki Abstract
AAS01-P04 Analysis of high Radon-222 concentration events using NICAM Kentaro Ishijima Abstract
AAS01-P05 On the Ensemble Transform Perturbation: (2) NHM-LETKF Kazuo Saito Abstract
AAS01-P06 The computational aspect of the SCLAE-LETKF data assimilation system for rapid-update-cycle, high-resolution radar data assimilation Guo-Yuan Lien Abstract
AAS01-P07 Dense precipitation radar data assimilation: an observing system simulation Atsushi Okazaki Abstract
AAS01-P08 On the assimilation of GNSS-PWV measurements in Heavy to Torrential Rain events in Davao City, Philippines Kristine Mae Rodriguez Carnicer Abstract
AAS01-P09 Numerical simulation of a heavy rain event in Hiroshima city on 19-20 August 2014 Tsutao OIZUMI Abstract
AAS01-P10 Assimilation of Rapid-Scan Atmospheric Motion Vector of Himawari-8 to Improve the Rainfall Forecast of the Northern Kyushu Heavy Rainfall Hiromu Seko Abstract