Abstract
In this paper, we present an approach to analyze 1D parameter spaces of time-dependent flow simulation ensembles. By extending the concept of the finite-time Lyapunov exponent to the ensemble domain, i.e., to the parameter that gives rise to the ensemble, we obtain a tool for quantitative analysis of parameter sensitivity both in space and time. We exemplify our approach using 2D synthetic examples and computational fluid dynamics ensembles.
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Acknowledgments
The research leading to these results has been done within the subproject A7 of the Transregional Collaborative Research Center SFB / TRR 165 “Waves to Weather” funded by the German Science Foundation (DFG).
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Hanser, K. et al. (2018). Visualization of Parameter Sensitivity of 2D Time-Dependent Flow. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2018. Lecture Notes in Computer Science(), vol 11241. Springer, Cham. https://doi.org/10.1007/978-3-030-03801-4_32
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DOI: https://doi.org/10.1007/978-3-030-03801-4_32
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