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Title:

Efficient Uncertainty Quantification and Global Time-Varying Sensitivity Analysis Using the Spatially Adaptive Combination Technique

Document type:
Konferenzbeitrag
Contribution type:
Poster
Author(s):
Ivana Jovanovic Buha; Michael Obersteiner; Tobias Neckel; Hans-Joachim Bungartz
Abstract:
Due to their construction, conceptual hydrological models typically exhibit many parameter uncertainties with considerable variance, leading to significant uncertainty in model predictions (e.g., predictions of flood or drought events). The propagation of the resulting high-dimensional joint parameter uncertainty is a challenging task both mathematically and in terms of the computational demands. In this work, we employ a non-intrusive polynomial chaos expansion to model uncertainty in five or m...     »
Book / Congress title:
SIAM Conference on Uncertainty Quantification (UQ22)
Congress (additional information):
Atlanta, Georgia
Organization:
SIAM
Publisher:
SIAM
Date of publication:
12.04.2022
Year:
2022
Quarter:
2. Quartal
Year / month:
2022-04
Month:
Apr
Reviewed:
nein
Language:
en
TUM Institution:
Department of Informatics
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