The Data Assimilation Approach in a Multilayered Uncertainty Space

The Data Assimilation Approach in a Multilayered Uncertainty Space

The simultaneous consideration of a numerical model and of different observations can be achieved using data-assimilation methods. In this contribution, the ensemble Kalman filter (EnKF) is applied to obtain the system-state development and also an estimation of unknown model parameters. An extensio...

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Bibliographic Details
Main Authors: Martin Drieschner, Clemens Herrmann, Yuri Petryna
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Modelling
Subjects:
data assimilation
ensemble Kalman filter
aleatory and epistemic uncertainty
uncertainty quantification
stochastic variables
interval variables
Online Access:https://www.mdpi.com/2673-3951/4/4/30

Internet

https://www.mdpi.com/2673-3951/4/4/30

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