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pro vyhledávání: '"Proppe, Carsten"'
Autor:
Fischer, Matthias, Proppe, Carsten
Publikováno v:
Probabilistic Engineering Mechanics, 74 (2023) 103486
With computational models becoming more expensive and complex, surrogate models have gained increasing attention in many scientific disciplines and are often necessary to conduct sensitivity studies, parameter optimization etc. In the scientific disc
Externí odkaz:
http://arxiv.org/abs/2307.06906
Akademický článek
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Autor:
Proppe, Carsten, Kaupp, Jonas
Publikováno v:
In Probabilistic Engineering Mechanics July 2022 69
Quantifying uncertainty in simulations of the West African monsoon with the use of surrogate models.
Autor:
Fischer, Matthias, Knippertz, Peter, van der Linden, Roderick, Lemburg, Alexander, Pante, Gregor, Proppe, Carsten, Marsham, John H.
Publikováno v:
Weather & Climate Dynamics; 2024, Vol. 5 Issue 2, p511-536, 26p
Publikováno v:
In Probabilistic Engineering Mechanics October 2018 54:82-86
Autor:
Fischer, Matthias, Knippertz, Peter, van der Linden, Roderick, Lemburg, Alexander, Pante, Gregor, Proppe, Carsten, Marsham, John H.
Publikováno v:
XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
Simulating the West African monsoon (WAM) system using numerical weather and climate models suffers from large uncertainties, which are difficult to disentangle due to highly non-linear interactions between different components of the WAM. We propose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cccfe183cbdad3c27ecb051094427dd
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5018850
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5018850