Data assimilation by conditioning of driving noise on future observations
Conventional recursive filtering approaches, designed for quantifying the state of an evolving stochastic dynamical system with intermittent observations, use a sequence of i) an uncertainty propagation step followed by ii) a step where the associated data is assimilated using Bayes' rule. Alte...
Main Authors: | Lee, W, Farmer, C |
---|---|
Format: | Journal article |
Published: |
IEEE
2014
|
Similar Items
-
Data assimilation : making sense of observations /
by: Lahoz, William Albert, et al.
Published: (2010) -
Observation thinning in data assimilation computations
by: Serge Gratton, et al.
Published: (2015-02-01) -
New graphical models for sequential data and the improved state estimations by data-conditioned driving noises
by: Wonjung Lee
Published: (2024-04-01) -
Land surface observation, modeling and data assimilation /
by: Liang, Shunlin.
Published: (2013) -
Accounting for observation errors in image data assimilation
by: Vincent Chabot, et al.
Published: (2015-02-01)