Abstract
Data assimilation in geophysics is a method of combining a numerical simulation model and incomplete observation data. A data assimilation problem can be formulated by an estimation using a nonlinear state space model and can be resolved using the particle filter. In this paper, we give a framework for resolving the correction and identification problem of erroneous tsunami simulation models using data assimilation. A numerical experiment is also conducted and its result shows the validity of applying data assimilation and the particle filter to a tsunami simulation model.
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