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Document type:
Konferenzbeitrag 
Contribution type:
Poster 
Author(s):
Ivana Jovanovic Buha; Michael Obersteiner; Tobias Neckel; Hans-Joachim Bungartz 
Title:
Efficient Uncertainty Quantification and Global Time-Varying Sensitivity Analysis Using the Spatially Adaptive Combination Technique 
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