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SUMMARY:Time-parallel algorithms for weather prediction and climate simula
 tion - Jean Ct\,   (UQAM - Universit du Qubec  Montral)
DTSTART:20120928T132000Z
DTEND:20120928T134500Z
UID:TALK40245@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:The forecast of weather relies on computer models that need to
  be executed in real-time\, meaning that a forecast needs to be disseminat
 ed to users well before the time period for which it is made. A challenge 
 in the future will be to succeed in using the computing power available in
  massively parallel high-performance computers and meet the real-time requ
 irement. Until now weather forecast and related climate simulation models 
 have taken advantage of the parallelism of the computers by dividing the t
 ask to be performed in the horizontal space dimensions. \n\nThe purpose of
  this work is to develop algorithms that allow also parallelism in the tim
 e dimension. This increased parallelism should allow an acceleration of th
 e execution time of weather and climate models. This acceleration in turn 
 permits an increase in the space accuracy of models while still meeting th
 e real-time requirement. The talk will present our preliminary work on the
  "Parareal" algorithm that has been developed for that purpose (Lions et a
 l.\, 2001) and whose applications to date have included among others air q
 uality\, but ignored weather forecasting. \n\nWeather forecasting presents
  a challenge for the method because of the presence of waves and advection
 . An important question is to examine how the traditional way to accelerat
 e models with the semi-implicit semi-Lagrangian methodology can be advanta
 geously blended with the Parareal approach.\n\n
LOCATION:Seminar Room 1\, Newton Institute
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