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DTSTAMP:20220812T074335Z
LOCATION:Sydney Room
DTSTART;TZID=Europe/Stockholm:20220628T170000
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UID:submissions.pasc-conference.org_PASC22_sess150_msa268@linklings.com
SUMMARY:The WMO Research Board White Paper on Exascale Computing and Data 
 Production
DESCRIPTION:Minisymposium\n\nThe WMO Research Board White Paper on Exascal
 e Computing and Data Production\n\nGovett, Rowe\n\nGiven the growing impac
 ts of weather and climate related disasters, there is an urgent need for m
 ore accurate weather and climate predictions to better serve societal need
 s. The best way to achieve increases in accuracy is to develop and run pre
 diction models at higher resolutions, which has traditionally been limited
  by access to sufficient high-performance computing. However, this dynamic
  is changing with models increasingly unable to benefit from additional co
 mputing, leaving future improvements of earth system models increasingly a
 t risk. Further, the volume of data being consumed (observations) and prod
 uced (predictions) by higher-resolution models is increasingly untenable a
 t most modeling and computing centers. While the computer science communit
 y is aware of these challenges, the research community is largely unaware 
 of the serious implications and increasing urgency to address these proble
 ms. <br /> The WMO organized an international task team to investigate the
  opportunities and challenges of exascale computing and data handling to i
 mprove earth system prediction. The team produced a WMO report (publicatio
 n pending) that surveys existing exascale-focused modeling efforts, detail
 s computing, software, and model development challenges, and provides reco
 mmendations to the WMO Research Board and the community in general. This p
 resentation will give an overview of these activities and recommendations.
 \n\nDomain: Climate, Weather and Earth Sciences, Computer Science and Appl
 ied Mathematics
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