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SUMMARY:Statistical calibration of complex computer models: A case study w
 ith the Lyon-Feder-Mobarry model of the magnetosphere - Sain\, S (National
  Center for Atmospheric Research)
DTSTART:20110905T150000Z
DTEND:20110905T153000Z
UID:TALK32656@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:The magnetosphere is the region of the Earth's magnetic field 
 that forms a protective bubble which impedes the transfer of energy and mo
 mentum from solar wind plasma. The Lyon-Fedder-Mobarry model is used for c
 oupled magnetosphere-ionosphere simulation and to model the eff ect of ele
 ctron storms on the upper atmosphere. This model is generally run in a hig
 h-performance computing environment and the output represents a bivariate 
 spatial-temporal field. In this work\, we outline an approach for calibrat
 ing this computer model and quantifying the uncertainty in the calibration
  parameters that combines the computationally expensive but sparser high-r
 esolution output with the lower fidelity but computationally inexpensive l
 ow-resolution output.\n
LOCATION:Seminar Room 1\, Newton Institute
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