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Dynamic Data Assimilation : Beating the Uncertainties

By: Contributor(s): Material type: TextTextPublication details: IntechOpen 2020Description: 1 electronic resource (118 p.)ISBN:
  • 9781839680847
Subject(s): Online resources: Summary: Data assimilation is a process of fusing data with a model for the singular purpose of estimating unknown variables. It can be used, for example, to predict the evolution of the atmosphere at a given point and time. This book examines data assimilation methods including Kalman filtering, artificial intelligence, neural networks, machine learning, and cognitive computing.
List(s) this item appears in: E-Books from Directory of Open Access Books
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Data assimilation is a process of fusing data with a model for the singular purpose of estimating unknown variables. It can be used, for example, to predict the evolution of the atmosphere at a given point and time. This book examines data assimilation methods including Kalman filtering, artificial intelligence, neural networks, machine learning, and cognitive computing.

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