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A Kalman filter for the assimilation of long-lived atmospheric chemical constituentswas developed for two-dimensional transport models on isentropic surfaces over theglobe. Since the Kalman filter calculates the error covariances of the estimated constituentfield, there are five dimensions to this problem, x 1 , x 2 , and time, where x 1 andx 2 are the positions of two points on an isentropic surface. Only computers with largememory capacity and high floating point speed can handle...

Parallel Implementation of a Kalman Filter for Constituent Data Assimilation