スーパーコンピュータ「京」を用いた防災・減災研究
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- いっけい かみこ
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1 Studies for Prevention and Mitigation of Natural Disasters Using the K computer 上原均 安藤和人 あらまし HPCI 3 3 Abstract Japan has often been hit by serious natural disasters. To prevent and mitigate disasters, it is imperative to take effective measures quickly. JAMSTEC has embarked on Strategic Programs for Innovative Research: Advanced Prediction Researches for Natural Disaster Prevention and Reduction (Field 3), in collaboration with universities and research bodies in Japan. In Field 3, large-scale natural disaster simulations on the K computer have been conducted. We have already obtained good results such as acquiring an ability to make highly precise forecasts of Madden Julian oscillations, obtaining high-precision tornado simulation results, carrying out advanced simulations on seismic motion, conducting high-resolution tsunami simulations related to a Nankai Trough quake, carrying out high-resolution seismic response analysis, and conducting multi-agent simulations for evacuation actions. 2 FUJITSU. 65, 1, p , 2014
2 まえがき HPCI 防災 減災に資する気象 気候 環境予測研究 地球規模の気候 環境変動予測に関する研究 km km MJO 3 図 -1 0 NICAM E W E W 0 い い NICAM MJO い 研究 -1 FUJITSU. 65, 1 01,
3 NICAM Nonhydrostatic Icosahedral Atmospheric Model 4 MJO 14 km 7 km 10 MJO MJO 3 MJO European Center for Medium-range Weather Forecast ECMWF Integrated Forecast System NICAM MJO 5 6 ECMWF Integrated Forecast System 超高精度メソスケール気象予測の実証 LETKF 図 LETKF た F1 21 km 600 m F1 F2 32 km 650 m 0.1 1/s を い た F3 17 km 500 m a b 研究 FUJITSU. 65, 1 01, 2014
4 7 350 m sec 1 地震 津波の予測精度の高度化に関する研究 3 地震の予測精度の高度化に関する研究 SEISM3D CPU PFLOPS 50 TFLOPS 40 津波の予測精度の高度化に関する研究 United Research Services Geoscience Australia IF SIMD m 図 km 100 km Courant- Friedrichs-Lewy CFL m 上 2 m を 研究 -3 FUJITSU. 65, 1 01,
5 ー ン 40 m い た a 3 b 17.6 ン ン 京 M. L. L. Wijerathne -5 都市全域の地震等自然災害シミュレーションに関する研究 1 E-Simulator/ ADVENTURECluster E-Simulator/ADVENTURECluster 図 -4 2 MAS MAS 図 -5 MAS CPU CPU CPU 12 むすび HPCI 3 3 参考文献 1 6 FUJITSU. 65, 1 01, 2014
6 HPCI htm 2 JAMSTEC HPCI R. Madden et al. Detection of a Day Oscillation in the Zonal Wind in the Tropical Pacific J. Atmos. Sci. Vol.28 Issue 5 p H. Miura et al. A Madden-Julian Oscillation Event Realistically Simulated by a Global Cloud-Resolving Model Science Vol.318 No.5857 p H. Lin et al. Forecast Skill of the Madden-Julian Oscillation in Two Canadian Atmospheric Models Mon. Wea. Rev. Vol.136 Issue 11 p J. Gottschalck et al. A Framework for Assessing Operational Madden-Julian Oscillation Forecasts A CLIVAR MJO Working Group Project Bull. Amer. Meteor. Soc. Vol.91 Issue 9 p H. Seko et al. Data Assimilation Experiments of Tornado occurring on 6th May 2012 CAS/JSC WGNE Res. Activ. Atmos. Ocea. Modell T. Furumura et al. Parallel simulation of strong ground motions during recent and historical damaginge earthquakes in Tokyo Japan Parallel Computing Vol.31 Issue 2 p T. Maeda et al. FDM Simulation of Seismic Waves Ocean Acoustic Waves and Tsunamis Based on Tsunami-Coupled Equations of Motion Pure Appl. Geophys DOI /s z J. D. Jakeman et al. Towards spatially distributed quantitative assessment of tsunami inundation models Ocean Dynamics Vol.60 Issue 5 p DOI /s T. Baba et al. Tsunami inundation modeling of the 2011 Tohoku earthquake using three-dimensional building data for Sendai Miyagi Prefecture Japan in V. S.-Fandiño et al. ed. Tsunami Events and Lessons Learned Environmental and Societal Significance Springer accepted M. L. L. Wijerathne et al. Parallel Scalability Enhancements of Seismic Response and Evacuation Simulations of IES VECPAR th International Meeting High Performance Computing for Computational Science 2012 著者紹介 上原均 ( うえはらひとし ) HPCI 3 安藤和人 ( あんどうかずと ) HPCI 3 FUJITSU. 65, 1 01,
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