CIRA » Home » Research » Theme » Basic Development of Ensemble Data Assimilation
This research includes the fundamental development of probabilistic data assimilation methodologies, currently focusing on ensemble data assimilation and hybrid variational-ensemble data assimilation. In particular, we are interested in improving our understanding of the impact of the limited number of degrees of freedom, nonlinearity, non-differentiability of model and observation operators, probability density function assumptions, etc.
We are also interested in code development issues dealing with parallel code optimization, user-friendly script development, high-dimensionality, evaluation of the efficiency of ensemble data assimilation on super-computers, and code transferability.
This research topic is inherently connected with all other research topics and projects.
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