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| dc.contributor.author | Strnad, Felix M. | |
| dc.date.accessioned | 2023-04-13T11:08:29Z | |
| dc.date.available | 2023-04-13T11:08:29Z | |
| dc.date.issued | 2022 | |
| dc.identifier.issn | 2522-5839 | |
| dc.identifier.uri | http://hdl.handle.net/10900/139175 | |
| dc.language.iso | en | en |
| dc.publisher | Nature Portfolio | de_DE |
| dc.relation.uri | http://dx.doi.org/10.1038/s42256-022-00540-1 | |
| dc.subject.ddc | 004 | de_DE |
| dc.title | Physically constrained generative adversarial networks for improving precipitation fields from Earth system models | de_DE |
| dc.type | Article | de_DE |
| utue.quellen.id | 20230202000000_00979 | |
| utue.publikation.seiten | 828 | de_DE |
| utue.personen.roh | Hess, Philipp | |
| utue.personen.roh | Drueke, Markus | |
| utue.personen.roh | Petri, Stefan | |
| utue.personen.roh | Strnad, Felix M. | |
| utue.personen.roh | Boers, Niklas | |
| dcterms.isPartOf.ZSTitelID | Nature Machine Intelligence | de_DE |
| dcterms.isPartOf.ZS-Issue | 10 | de_DE |
| dcterms.isPartOf.ZS-Volume | 4 | de_DE |
| utue.fakultaet | Sonstige |
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