University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Statistical calibration of complex computer models: A case study with the Lyon-Feder-Mobarry model of the magnetosphere

Statistical calibration of complex computer models: A case study with the Lyon-Feder-Mobarry model of the magnetosphere

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Mustapha Amrani.

Design and Analysis of Experiments

The magnetosphere is the region of the Earth’s magnetic field that forms a protective bubble which impedes the transfer of energy and momentum from solar wind plasma. The Lyon-Fedder-Mobarry model is used for coupled magnetosphere-ionosphere simulation and to model the eff ect of electron storms on the upper atmosphere. This model is generally run in a high-performance computing environment and the output represents a bivariate spatial-temporal field. In this work, we outline an approach for calibrating this computer model and quantifying the uncertainty in the calibration parameters that combines the computationally expensive but sparser high-resolution output with the lower fidelity but computationally inexpensive low-resolution output.

This talk is part of the Isaac Newton Institute Seminar Series series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2021 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity