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1 Ergebnisse
1
Inverse Modeling of Hydrologic Parameters in CLM4 via Gener..:
Georgios Karagiannis
;
Zhangshuan Hou
;
Maoyi Huang
.
https://www.mdpi.com/2079-3197/10/5/72. , 2022
Link:
https://doi.org/10.3390/computation10050072
RT Journal T1
Inverse Modeling of Hydrologic Parameters in CLM4 via Generalized Polynomial Chaos in the Bayesian Framework
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:39c33756900143c585c78fb43ddcd39e&Exemplar=1&LAN=DE A1 Georgios Karagiannis A1 Zhangshuan Hou A1 Maoyi Huang A1 Guang Lin PB MDPI AG YR 2022 K1 uncertainty quantification K1 generalized polynomial chaos K1 Bayesian inversion K1 US-ARM K1 inverse modeling K1 Electronic computers. Computer science K1 QA75.5-76.95 JF https://www.mdpi.com/2079-3197/10/5/72 LK http://dx.doi.org/https://doi.org/10.3390/computation10050072 DO https://doi.org/10.3390/computation10050072 SF ELIB - SuUB Bremen
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