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DTSTAMP:20220812T074358Z
LOCATION:Sydney Room
DTSTART;TZID=Europe/Stockholm:20220628T163000
DTEND;TZID=Europe/Stockholm:20220628T183000
UID:submissions.pasc-conference.org_PASC22_sess150@linklings.com
SUMMARY:MS4C - Exascale Computing, Artificial Intelligence, and Data: Oppo
 rtunities and Challenges for Weather, Climate, Ocean, and Environmental Pr
 ediction
DESCRIPTION:Minisymposium\n\nExascale computing, artificial intelligence (
 AI), and data science have the potential to significantly improve predicti
 ve capabilities and services across the weather, climate, ocean, and broad
 er environment domains; however, successful application of these technolog
 ies requires overcoming many challenges. The World Meteorological Organiza
 tion (WMO) Research Board commissioned the Task Team on Exascale, AI, and 
 Data to produce whitepapers providing a synthesis of the current state of 
 activity in these areas, as well as recommendations to guide progress and 
 initiate coordinated activity in the WMO community for enabling effective 
 uptake. An overview of the whitepapers and how they fit into the WMO’s lon
 g-term strategic plan will be presented. Subsequent talks will provide a d
 eep dive into the whitepapers on exascale computing and data production, a
 nd AI and data analysis. Focus will be placed on challenges that must be o
 vercome to realize the benefits of these new technologies, as well as crit
 ical gaps between regions with and without access to significant computing
  resources—and ways to address these gaps. Concrete short-term actions rec
 ommended in the whitepapers will be presented. A discussion panel will fea
 ture the whitepaper’ authors—representing international weather, climate, 
 and supercomputing centers—providing opportunity for feedback and collabor
 ation with the broader scientific computing community.\n\nChallenges and O
 pportunities in Data Handling and the Application of Artificial Intelligen
 ce for the World Meteorological Organisation Community\n\nHines\n\nThe env
 ironmental modelling community faces new opportunities through a combinati
 on of increased computing power, and the potential for application of arti
 ficial intelligence to open up new progress. However, these opportunities 
 come with the associated challenges of increasing data volumes and the ...
 \n\n---------------------\nAn international View of Challenges and Opportu
 nities of Exascale, Data Handling, and AI for Weather, Climate, Ocean, and
  Environmental Prediction\n\nBouchet, Cao\n\nAdvances in numerical predict
 ion for weather, climate, atmospheric composition and environmental condit
 ions are intrinsically linked to the development of high-performance compu
 ting. It has led to rapid progress with Earth System Models of increasing 
 resolution combined with ensemble systems and exp...\n\n------------------
 ---\nThe WMO Research Board White Paper on Exascale Computing and Data Pro
 duction\n\nGovett, Rowe\n\nGiven the growing impacts of weather and climat
 e related disasters, there is an urgent need for more accurate weather and
  climate predictions to better serve societal needs. The best way to achie
 ve increases in accuracy is to develop and run prediction models at higher
  resolutions, which has traditi...\n\n---------------------\nDiscussion Pa
 nel: WMO Research Board Task Team on Exascale Computing, Artificial Intell
 igence, and Data\n\nRowe, Cao, Bouchet\n\nThis discussion panel will featu
 re the whitepapers’ authors—representing international weather, climate, a
 nd supercomputing centers—providing opportunity for feedback and collabora
 tion with the broader scientific computing community. Emphasis will be pla
 ced on bridging the gap betw...\n\n\nDomain: Climate, Weather and Earth Sc
 iences, Computer Science and Applied Mathematics
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