Expert Knowledge and Multivariate Emulation: The Thermosphere–Ionosphere Electrodynamics General Circulation Model (TIE-GCM)

JC Rougier, S Guillas, A Maute, AD Richmond

Research output: Contribution to journalArticle (Academic Journal)peer-review

23 Citations (Scopus)

Abstract

The thermosphere–ionosphere electrodynamics general circulation model (TIE-GCM) of the upper atmosphere has a number of features that are a challenge to standard approaches to emulation, including a long run time, multivariate output, periodicity, and strong constraints on the interrelationship between inputs and outputs. These kinds of features are not unusual in models of complex systems. We show how they can be handled in an emulator and demonstrate the use of the outer product emulator for efficient calculation, with an emphasis on predictive diagnostics for model choice and model validation. We use our emulator to “verify” the underlying computer code and to quantify our qualitative physical understanding.
Translated title of the contributionExpert Knowledge and Multivariate Emulation: The Thermosphere–Ionosphere Electrodynamics General Circulation Model (TIE-GCM)
Original languageEnglish
Pages (from-to)414 - 424
Number of pages11
JournalTechnometrics
Volume51
Issue number4
DOIs
Publication statusPublished - Nov 2009

Bibliographical note

Publisher: American Statistical Association

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