K. Hanser,
O. Klein,
B. Rieck,
B. Wiebe,
T. Selz,
M. Piatkowski,
A. Sagristà,
B. Zheng,
M. Lukácová,
G. Craig,
H. Leitte,
F. Sadlo:
In Lecture Notes in Computer Science: Advances in Visual Computing (Proceedings of International Symposium on Visual Computing),
pp. 359–370,
2018.
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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 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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