• Medientyp: E-Artikel
  • Titel: Emulating and Calibrating the Multiple-Fidelity Lyon–Fedder–Mobarry Magnetosphere–Ionosphere Coupled Computer Model
  • Beteiligte: Heaton, Matthew J.; Kleiber, William; Sain, Stephan R.; Wiltberger, Michael
  • Erschienen: Oxford University Press (OUP), 2015
  • Erschienen in: Journal of the Royal Statistical Society Series C: Applied Statistics
  • Sprache: Englisch
  • DOI: 10.1111/rssc.12064
  • ISSN: 1467-9876; 0035-9254
  • Schlagwörter: Statistics, Probability and Uncertainty ; Statistics and Probability
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  • Beschreibung: <jats:title>Summary</jats:title><jats:p>The Lyon–Fedder–Mobarry global magnetosphere–ionosphere coupled model LFM-MIX is used to study Sun–Earth interactions by simulating geomagnetic storms. This work focuses on relating the multifidelity output from LFM-MIX to field observations of ionospheric conductance. Given a set of input values and solar wind data, LFM-MIX numerically solves the magnetohydrodynamic equations and outputs a bivariate spatiotemporal field of ionospheric energy and flux. Of particular interest here are LFM-MIX input settings required to match corresponding output with field observations. To estimate these input settings, a multivariate spatiotemporal statistical LFM-MIX emulator is constructed. The statistical emulator leverages the multiple fidelities such that the less computationally demanding yet lower fidelity LFM-MIX is used to provide estimates of the higher fidelity output. The higher fidelity LFM-MIX output is then used for calibration by using additive and non-linear discrepancy functions.</jats:p>