*Edited by Dinesh G. Harkut*

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.

Published in London, UK © 2020 IntechOpen © devolmon / iStock

Dynamic Data Assimilation - Beating the Uncertainties

Dynamic Data Assimilation

Beating the Uncertainties

*Edited by Dinesh G. Harkut*