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DTSTART:19700308T020000
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DTSTAMP:20260422T000712Z
LOCATION:501-502
DTSTART;TZID=America/Denver:20231115T110000
DTEND;TZID=America/Denver:20231115T113000
UID:submissions.supercomputing.org_SC23_sess298_gbv104@linklings.com
SUMMARY:Big Data Assimilation: Real-Time 30-Second-Refresh Heavy Rain Fore
 cast Using Fugaku during Tokyo Olympics and Paralympics
DESCRIPTION:Takemasa Miyoshi, Arata Amemiya, Shigenori Otsuka, Yasumitsu M
 aejima, and James Taylor (RIKEN); Takumi Honda (Hokkaido University, Japan
 ; RIKEN); Hirofumi Tomita Tomita and Seiya Nishizawa (RIKEN); Kenta Sueki 
 (RIKEN, Meteorological Research Institute); Tsuyoshi Yamaura (RIKEN); Yuta
 ka Ishikawa (National Institute of Informatics); Shinsuke Satoh (National 
 Institute for Information and Communications Technology); Tomoo Ushio (Osa
 ka University); Kana Koike (MTI Ltd.); and Atsuya Uno (RIKEN, National Res
 earch Institute for Earth Science and Disaster Resilience)\n\nReal-time 30
 -second-refresh numerical weather prediction (NWP) was performed with excl
 usive use of 11,580 nodes (~7%) of supercomputer Fugaku during Tokyo Olymp
 ics and Paralympics in 2021. Total 75,248 forecasts were disseminated in t
 he 1-month period mostly stably with time-to-solution less than 3 minutes 
 for 30-minute forecast. Japan’s Big Data Assimilation (BDA) project develo
 ped the novel NWP system for precise prediction of hazardous rains toward 
 solving the global climate crisis. Compared with typical 1-hour-refresh sy
 stems, the BDA system offered two orders of magnitude increase in problem 
 size and revealed the effectiveness of 30-second refresh for highly nonlin
 ear, rapidly evolving convective rains. To achieve the required time-to-so
 lution for real-time 30-second refresh with high accuracy, the core BDA so
 ftware incorporated single precision and enhanced parallel I/O with proper
 ly selected configurations of 1000 ensemble members and 500-m-mesh weather
  model. The massively parallel, I/O intensive real-time BDA computation de
 monstrated a promising future direction.\n\nRegistration Category: Tech Pr
 ogram Reg Pass\n\nSession Chair: John Taylor (Commonwealth Scientific and 
 Industrial Research Organisation (CSIRO), Australia)\n\n
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