Reference:Reference-022019: Difference between revisions
From CSDMS
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|Year=2022-03 | |Year=2022-03 | ||
|Journal=Stochastic Environmental Research and Risk Assessment | |Journal=Stochastic Environmental Research and Risk Assessment | ||
|Booktitle= | |Booktitle= | ||
|Volume=36 | |Volume=36 | ||
|Pages=693–718 | |Pages=693–718 | ||
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|PublicationClusterID=0 | |PublicationClusterID=0 | ||
|MS_PublicationClusterID=0 | |MS_PublicationClusterID=0 | ||
|Semantic_ID=121f942a2dfa8208762ed0b5c773c7e18989620f | |Semantic_ID=121f942a2dfa8208762ed0b5c773c7e18989620f |CorpusID=236781248 |CorpusID=236781248 | ||
|PublicationWhatKindOf=a module application description | |PublicationWhatKindOf=a module application description | ||
|PublicationNrofModels=a single module | |PublicationNrofModels=a single module | ||
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Latest revision as of 11:45, 12 November 2024
| Author(s) | El Garroussi, Siham; Ricci, Sophie; De Lozzo, Matthias; Goutal, Nicole; Lucor, Didier; |
| BibType | journalArticle |
| Title | Tackling random fields non-linearities with unsupervised clustering of polynomial chaos expansion in latent space: application to global sensitivity analysis of river flooding |
| Editors | |
| Year | 2022-03 |
| Journal | Stochastic Environmental Research and Risk Assessment |
| Booktitle | |
| Volume | 36 |
| Pages | 693–718 |
| URL | https://link.springer.com/10.1007/s00477-021-02060-7 |
| DOI | 10.1007/s00477-021-02060-7 |
| ISBN | |
| Note | Auto downloaded ref at: 2024-08-29
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| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | 121f942a2dfa8208762ed0b5c773c7e18989620f |
| Nr of citations | 10 |
| Sort of publication | a module application description |
| Sort of model publication | a single module |
| Is the CSDMS HPC used | No |
| If HPC is used, for what project was it?: | |
| Associated simulation movie if any: |
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| Model(s) discussed: | The TELEMAC system
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