Statistical calibration of complex computer models: A case study with the Lyon-Feder-Mobarry model of the magnetosphere
Seminar Room 1, Newton Institute
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.