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Data assimilation: mathematics for merging models and data

Schnappschüsse moderner Mathematik aus 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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Mathematisches Fachgebiet

Numerik und Wissenschaftliches Rechnen

Verbindung zu anderen Gebieten

Chemie und Geowissenschaft
Physik

Autor(en)

Matthias Morzfeld, Sebastian Reich

Lizenz

DOI (Digital Object Identifier)

10.14760/SNAP-2018-011-EN

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snapshots-2018-011.pdf

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snapshots: overview

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      Mathematisches Fachgebiet

      Algebra und Zahlentheorie
      Analysis
      Didaktik und Bildung
      Diskrete Mathematik und Grundlagen
      Geometrie und Topologie
      Numerik und Wissenschaftliches Rechnen
      Wahrscheinlichkeitstheorie und Statistik

      Verbindung zu anderen Gebieten

      Chemie und Geowissenschaft
      Informatik
      Ingenieurwissenschaft und Technik
      Finanzwesen
      Geistes- und Sozialwissenschaft
      Biowissenschaft
      Physik
      Überlegungen zur Mathematik

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