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An important component of data assimilation is the simultaneous assimilation of information from multiple sensors. Maximizing the utility of information from different types of observations is directly beneficial to ensemble data assimilation and ensemble forecasting, and eventually to system predictability.
This research topic is a component of other research topics
and research projects
- Ensemble data assimilation system based on control theory
- Research and development for GOES-R risk reduction
- Impact of fundamental assumptions of probabilistic data assimilation/ensemble forecasting: conditional mode vs. conditional mean