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Variational ensemble Kalman filtering applied to data assimilation problems in computational fluid dynamics
(Lappeenranta University of Technology, 2016-08-15)
One challenge on data assimilation (DA) methods is how the error covariance for the model state is computed. Ensemble methods have been proposed for producing error covariance estimates, as error is propagated in time using ...
On state and parameter estimation in chaotic systems
(Lappeenranta University of Technology, 2013-11-22)
State-of-the-art predictions of atmospheric states rely on large-scale numerical models of chaotic systems. This dissertation studies numerical methods for state and parameter estimation in such systems. The motivation ...
Parameter Estimation of Large-Scale Chaotic Systems
(Lappeenranta-Lahti University of Technology LUT, 2020-10-30)
Parameter estimation plays a crucial role in modelling various kinds of phenomena. However, it can be challenging to properly calibrate a model to satisfy the observed quantities and provide reliable forecasts. In the case ...