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BEGIN:VEVENT
DTSTAMP:20220812T074357Z
LOCATION:Sydney Room
DTSTART;TZID=Europe/Stockholm:20220627T111500
DTEND;TZID=Europe/Stockholm:20220627T121500
UID:submissions.pasc-conference.org_PASC22_sess171@linklings.com
SUMMARY:AP1A - ACM Papers Session 1A
DESCRIPTION:Paper\n\nParallel Space-Time Likelihood Optimization for Air P
 ollution Prediction on Large-Scale Systems\n\nSalvaña, Abdulah, Ltaief, Su
 n, Genton...\n\nGaussian geostatistical space-time modeling is an effectiv
 e tool for performing statistical inference of data evolving in space and 
 time, generalizing spatial modeling alone at the cost of the greater compl
 exity of operations and storage, and pushing geostatistical modeling even 
 further into the arm...\n\n---------------------\nApplications of Flexible
  Spatial and Temporal Discretization Techniques to a Numerical Weather Pre
 diction Model\n\nCheung, Tam, Leung, Ng, Sze\n\nNumerical weather predicti
 on is carried out by solving a set of governing partial differential equat
 ions (PDEs) based on fluid dynamics and thermodynamics principles, togethe
 r with parameterizations of unresolved important physical processes. The M
 odel for Prediction Across Scales - Atmosphere (MPAS...\n\n\nDomain: Clima
 te, Weather and Earth Sciences
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