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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| Formato: | Online |
| Idioma: | inglês |
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KIT Scientific Publishing
2025
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| Acesso em linha: | ONIX_20251202T160246_9783731514428_7 |
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| _version_ | 1869524653155811328 |
|---|---|
| author | Fischer, Matthias |
| author_browse | Fischer, Matthias |
| author_facet | Fischer, Matthias |
| author_sort | Fischer, Matthias |
| collection | Directory of Open Access Books |
| 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. |
| format | Online |
| id | doab-20.500.12854ir-169812 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | KIT Scientific Publishing |
| publisherStr | KIT Scientific Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1698122025-12-03T05:10:34Z Surrogate-based uncertainty quantification and parameter optimization in simulations of the West African monsoon Fischer, Matthias 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 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. 2025-12-03T05:10:33Z 2025-12-03T05:10:33Z 2025-12-02T15:12:34Z 2025 book ONIX_20251202T160246_9783731514428_7 1614-3914 (Online) https://library.oapen.org/handle/20.500.12657/108899 9783731514428 https://directory.doabooks.org/handle/20.500.12854/169812 eng Schriftenreihe des Instituts für Technische Mechanik, Karlsruher Institut für Technologie open access image/jpeg Attribution-ShareAlike 4.0 International https://library.oapen.org/bitstream/20.500.12657/108899/1/9783731514428.pdf KIT Scientific Publishing KIT Scientific Publishing 10.5445/KSP/1000182604 10.5445/KSP/1000182604 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731514428 KIT Scientific Publishing 164 Karlsruhe, Germany open access |
| spellingShingle | 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 Fischer, Matthias Surrogate-based uncertainty quantification and parameter optimization in simulations of the West African monsoon |
| title | Surrogate-based uncertainty quantification and parameter optimization in simulations of the West African monsoon |
| title_full | Surrogate-based uncertainty quantification and parameter optimization in simulations of the West African monsoon |
| title_fullStr | Surrogate-based uncertainty quantification and parameter optimization in simulations of the West African monsoon |
| title_full_unstemmed | Surrogate-based uncertainty quantification and parameter optimization in simulations of the West African monsoon |
| title_short | Surrogate-based uncertainty quantification and parameter optimization in simulations of the West African monsoon |
| title_sort | surrogate based uncertainty quantification and parameter optimization in simulations of the west african monsoon |
| topic | 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 |
| topic_facet | 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 |
| url | ONIX_20251202T160246_9783731514428_7 |
| work_keys_str_mv | AT fischermatthias surrogatebaseduncertaintyquantificationandparameteroptimizationinsimulationsofthewestafricanmonsoon |