Predictive Skill: A Study of RSQSim and UCERF3 Using the ... · Predictive Skill: A Study of RSQSim...

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t α α Abstract Methodology Bayesian Inference Summary Results Logarithmic Scores Predictive Skill: A Study of RSQSim and UCERF3 Using the Bayesian Inference References Background Fault model selection →∞ Logarithmic Scoring (LS) Java coding Fig. 3 Flowchart of HashMap logic used in our Java code Fig. 4 Logarithmic Scores of each forecast test, categorized by number of fault ruptures Fig. 2 Flowchart illustrating the process of additive smoothing for determining the Posterior Probabilities Fig. 1A The 9-fault model used for the final probabilistic analysis Carrizo Big Bend Mojave S San Bern San Gorg Coach Garlock San Bern Anza 0 0 0 0 0 0 0 0 1 Fig. 1B An example of how each of the 512 combinations is formatted, representing an event where only the Anza fault ruptures.

Transcript of Predictive Skill: A Study of RSQSim and UCERF3 Using the ... · Predictive Skill: A Study of RSQSim...

Page 1: Predictive Skill: A Study of RSQSim and UCERF3 Using the ... · Predictive Skill: A Study of RSQSim and UCERF3 Using the Bayesian Inference References Background Fault model selection

t

αα

Abstract MethodologyBayesian Inference

Summary

ResultsLogarithmic Scores

Predictive Skill: A Study of RSQSim and UCERF3Using the Bayesian Inference

●●●

References

BackgroundFault model selection

₀→∞

Logarithmic Scoring (LS)

Java coding

Fig. 3 Flowchart of HashMap logic used in our Java code

Fig. 4 Logarithmic Scores of each forecast test, categorized by number of fault ruptures

Fig. 2 Flowchart illustrating the process of additive smoothing for determining the Posterior Probabilities

Fig. 1A The 9-fault model used for the final probabilistic analysis

Carrizo Big Bend Mojave S San Bern San Gorg Coach Garlock San Bern Anza

0 0 0 0 0 0 0 0 1

Fig. 1B An example of how each of the 512 combinations is formatted, representing an event where only the Anza fault ruptures.