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Implicit particle methods and their connection with variational data assimilation
Implicit particle methods variational data assimilation Data Analysis Statistics and Probability
2012/5/29
The implicit particle filter is a sequential Monte Carlo method for data assimilation that guides the particles to the high-probability regions via a sequence of steps that includes minimizations. We ...
On deterministic error analysis in variational data assimilation
deterministic error analysis variational data assimilation
2009/11/9
The problem of variational data assimilation for a nonlinear evolution model is considered to identify the initial condition. The equation for the error of the optimal initial-value function through t...