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...
| Format: | eBook |
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| Language: | English |
| Published: |
IntechOpen
2020
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| Online Access: | Open Access: DOAB: description of the publication Open Access: DOAB, download the publication |