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Data assimilation: mathematics for merging models and data

Snapshots of modern mathematics from 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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Mathematical subjects

Numerics and Scientific Computing

Connections to other fields

Chemistry and Earth Science
Physics

Author(s)

Matthias Morzfeld, Sebastian Reich

License

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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      Mathematical subjects

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      Numerics and Scientific Computing
      Probability Theory and Statistics

      Connections to other fields

      Chemistry and Earth Science
      Computer Science
      Engineering and Technology
      Finance
      Humanities and Social Sciences
      Life Science
      Physics
      Reflections on Mathematics

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