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Data assimilation: mathematics for merging models and data

Instantanés de recherche mathématique à Oberwolfach

Data assimilation: mathematics for merging models and data

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.

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Sujet mathématique

Calcul numérique et calcul scientifique

Liens avec d'autres domaines

Chimie et sciences de la terre
Physique

Auteur(s)

Matthias Morzfeld, Sebastian Reich

Licence

DOI

10.14760/SNAP-2018-011-EN

Télécharger PDF

snapshots-2018-011.pdf

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snapshots: overview

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      Sujet mathématique

      Algèbre et théorie des nombres
      Analyse
      Pédagogie et éducation
      Mathématiques discrètes et fondements des mathématiques
      Géométrie et Topologie
      Calcul numérique et calcul scientifique
      Théorie des probabilités et statistique

      Liens avec d'autres domaines

      Chimie et sciences de la terre
      Informatique
      Ingénierie et technologie
      Finances
      Humanités et sciences sociales
      Sciences de la vie
      Physique
      Pensées mathématiques

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