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In this chapter, the ensemble-based data assimilation methods are introduced, including their developments, applications and existing concerns. These methods include both traditional methods such as Kalman filter and its derivatives and some advanced algorithms such as sigma-point Kalman filters and particle filters. Emphasis is placed on the challenges of applying these methods onto high-dimensional systems in the earth sciences.

An Introduction to Ensemble-Based Data Assimilation Method in the Earth Sciences