K. Hanser, O. Klein, B. Rieck, B. Wiebe, T. Selz, M. Piatkowski, A. Sagristà, B. Zheng, M. Lukácová, G. Craig, H. Leitte, F. Sadlo:

Visualization of Parameter Sensitivity of 2D Time-Dependent Flow

In Lecture Notes in Computer Science: Advances in Visual Computing (Proceedings of International Symposium on Visual Computing), pp. 359–370, 2018.


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 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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