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

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 approa...

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Bibliografiske detaljer

Hovedforfatter:	Fischer, Matthias
Format:	Online
Sprog:	engelsk
Udgivet:	KIT Scientific Publishing 2025
Fag:	Westafrikanischer Monsun Surrogatmodelle Gaußprozessregression Unsicherheitsquantifizierung Parameteroptimierung West African monsoon surrogate models Gaussian process regression uncertainty quantification parameter optimization thema EDItEUR::P Mathematics and Science::PD Science: general issues
Online adgang:	ONIX_20251202T160246_9783731514428_7
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