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DTSTAMP:20220812T074335Z
LOCATION:Sydney Room
DTSTART;TZID=Europe/Stockholm:20220628T163000
DTEND;TZID=Europe/Stockholm:20220628T170000
UID:submissions.pasc-conference.org_PASC22_sess150_msa230@linklings.com
SUMMARY:An international View of Challenges and Opportunities of Exascale,
  Data Handling, and AI for Weather, Climate, Ocean, and Environmental Pred
 iction
DESCRIPTION:Minisymposium\n\nAn international View of Challenges and Oppor
 tunities of Exascale, Data Handling, and AI for Weather, Climate, Ocean, a
 nd Environmental Prediction\n\nBouchet, Cao\n\nAdvances in numerical predi
 ction for weather, climate, atmospheric composition and environmental cond
 itions are intrinsically linked to the development of high-performance com
 puting. It has led to rapid progress with Earth System Models of increasin
 g resolution combined with ensemble systems and expanding data assimilatio
 n capacity. Their continued development is at the core of our ability to a
 ddress society’s demands for faster and more comprehensive information to 
 anticipate weather-related disasters in a changing climate. We have reache
 d the point where the need of future numerical systems exceeds the capacit
 y of hardware technology to supply it on its own. This signifies a change 
 of paradigm where the evolution of computing technology needs to be comple
 mented with fundamental research on modelling systems, innovations on data
  handling, application of AI, and engagement in new partnerships. The Worl
 d Meteorological Organization (WMO) recognizes the need for coordinated ac
 tion in an area that underpins much of the modelling systems and modes of 
 data production and exchange. It commissioned the Task Team on Exascale, A
 I, and Data Handling to produce a series of synthesis of the current state
  of activity in these areas, as well as recommendations for the to guide p
 rogress and initiate coordinated activities to enable effective uptake.\n\
 nDomain: Climate, Weather and Earth Sciences, Computer Science and Applied
  Mathematics
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