Data assimilation: mathematics for merging models and data

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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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Área matemática

Cálculo numérico y científico

Relaciones con otros campos

Química y Ciencias de la Tierra
Física

Autor(es)

Matthias Morzfeld, Sebastian Reich

Licencia

DOI (Identificador de objetos digitales)

10.14760/SNAP-2018-011-EN

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snapshots-2018-011.pdf

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