Dynamic Data Assimilation Beating the Uncertainties
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...
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| Format: | Electronic Book Chapter |
| Language: | English |
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IntechOpen
2020
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| Online Access: | DOAB: download the publication DOAB: description of the publication |
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| 100 | 1 | |a Harkut, Dinesh G. |4 edt | |
| 700 | 1 | |a Harkut, Dinesh G. |4 oth | |
| 245 | 1 | 0 | |a Dynamic Data Assimilation |b Beating the Uncertainties |
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| 520 | |a 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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