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Surrogate-based uncertainty quantification and parameter optimization in simulations of the West African monsoon

By Fischer, Matthias A.

Surrogate-based uncertainty quantification and parameter optimization in simulations of the West African monsoon

By Fischer, Matthias A.

0 - Default Title
Description
The West African monsoon (WAM) is a complex climatic system with major impacts. This study uses a surrogate-based framework to quantify uncertainties in model parameterizations and to improve simulations with the ICON model. By applying Gaussian process and principal component regression, the approach enables efficient sensitivity analysis and optimization. Results highlight key parameter influences on the WAM and demonstrate the framework¿s effectiveness.
Product details
Binding:
Paperback
Edition:
1
Number of Pages:
166
Release Date:
2025-11-20
Publication Date:
2025-11-20
Publisher:
Karlsruher Institut für Technologie
Languages:
Original: English
ISBN10:
3731514427
ISBN13:
9783731514428
Weight:
328 g
Height:
170 cm
Width:
240 cm
Thickness:
11 cm
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