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DTSTAMP:20190719T085744Z
LOCATION:HG D 1.1
DTSTART;TZID=Europe/Stockholm:20190613T124500
DTEND;TZID=Europe/Stockholm:20190613T131500
UID:submissions.pasc-conference.org_PASC19_sess125_msa185@linklings.com
SUMMARY:Scalable Linear Solvers for Next Generation Weather and Climate Mo
 dels
DESCRIPTION:Minisymposium\nComputer Science and Applied Mathematics, Clima
 te and Weather\n\nScalable Linear Solvers for Next Generation Weather and 
 Climate Models\n\nMaynard, Melvin, Mueller\n\nSemi-implicit time integrato
 rs are very popular in operational atmospheric forecast models as they gua
 rantee the stable treatment of fast (acoustic & gravity) waves, while 
 allowing the slower advective motion to be treated explicitly, and therefo
 re do not suffer from severe restrictions on the time step size. To propag
 ate the state of the atmosphere forward in time, a non-linear equation for
  the prognostic variables has to be solved at every timestep. Since the no
 nlinearity is typically weak, this is done with a small number of Newton i
 terations, which in turn require the efficient solution of a large system 
 on linear equations with O(10^6-10^9) unknowns. This is often the computat
 ional bottleneck of the code. While the solution of the linear system is r
 elatively straightforward for simple finite-difference- and finite-volume-
  discretisations, it is much more challenging for advanced finite element 
 discretisations, which are becoming more popular for atmospheric modelling
 .
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