There is a class of assimilation methods that look for the solution of the assimilation problem by sequentially correcting the model forecast using the observations. To do that, they use, at each assimilation step, an estimation of the error covariance matrices on the state of the system (P) and on the observations (R). The figure describes on assimilation cycle (forecast/correction cycle) of the Kalman filter. |