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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Analysis
Didactics and Education
Discrete Mathematics and Foundations
Geometry and Topology
Numerics and Scientific Computing
Probability Theory and Statistics

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Computer Science
Engineering and Technology
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Humanities and Social Sciences
Life Science
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Reflections on Mathematics

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