Data assimilation: mathematics for merging models and data
dc.bibliographicCitation.seriesTitle | Snapshots of Modern Mathematics from Oberwolfach | eng |
dc.bibliographicCitation.volume | 11/2018 | |
dc.contributor.author | Morzfeld, Matthias | |
dc.contributor.author | Reich, Sebastian | |
dc.date.accessioned | 2022-08-05T08:00:54Z | |
dc.date.available | 2022-08-05T08:00:54Z | |
dc.date.issued | 2018 | |
dc.description.abstract | When you describe a physical process, for example, the weather on Earth, or an engineered system, such as a self-driving car, you typically have two sources of information. The first is a mathematical model, and the second is information obtained by collecting data. To make the best predictions for the weather, or most effectively operate the self-driving car, you want to use both sources of information. Data assimilation describes the mathematical, numerical and computational framework for doing just that. | eng |
dc.description.version | publishedVersion | eng |
dc.identifier.uri | https://oa.tib.eu/renate/handle/123456789/9899 | |
dc.identifier.uri | http://dx.doi.org/10.34657/8937 | |
dc.language.iso | eng | |
dc.publisher | Oberwolfach : Mathematisches Forschungsinstitut Oberwolfach gGmbH | |
dc.relation.doi | https://doi.org/10.14760/SNAP-2018-011-EN | |
dc.relation.essn | 2626-1995 | |
dc.rights.license | CC BY-SA 4.0 Unported | eng |
dc.rights.uri | https://creativecommons.org/licenses/by-sa/4.0/ | eng |
dc.subject.ddc | 510 | |
dc.subject.other | Numerics and Scientific Computing | eng |
dc.title | Data assimilation: mathematics for merging models and data | eng |
dc.type | Report | eng |
dc.type | Text | eng |
dcterms.extent | 10 S. | |
tib.accessRights | openAccess | |
wgl.contributor | MFO | |
wgl.subject | Mathematik | |
wgl.type | Report / Forschungsbericht / Arbeitspapier |
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