Automating Emulator Construction for Geophysical Hazard Maps

Elaine T. Spiller, M. J. Bayarri, James O. Berger, Eliza Calder, Abani K. Patra, E. Bruce Pitman, Robert L. Wolpert

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

This paper describes an efficient and systematic process for using geophysical computer model simulations to guide efforts in probabilistic hazard mapping. The framework being proposed requires the simultaneous construction of many (10^2--10^4) statistical emulators, e.g., cheap model surrogates. This paper describes an automation process for choosing designs for and fitting these emulators. Throughout the description of this process, several useful modifications to standard emulators are explored. Additionally, this approach enables a fast and flexible uncertainty quantification for multiple sources of aleatory variability (natural randomness) and epistemic uncertainty (uncertainty in geophysical and statistical models) in the context of probabilistic hazard mapping. This process is illustrated through an application to granular volcanic flows.

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Original languageEnglish
Pages (from-to)126–152
JournalSIAM/ASA Journal on Uncertainty Quantification
Issue number1
Early online date18 Feb 2014
Publication statusPublished - 18 Feb 2014


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