Author(s)

X.F. Zhang, J.C.H. van Eijkeren & A.W. Heemink

Abstract

Comparative study of data assimilation methods in environmental models X.F. Zhang,* J.C.H. van Eijkeren,* A.W. Heemink* "Department of Technical Mathematics and Information, Delft University of Technology, Makelweg 4, P.O. Box 5031, 2600 GA Delft, The Netherlands ^National Institute of Public Health and Environmental Protection, P.O. Box 1, 3720 BA Bilthoven, The Netherlands 1 Introduction In [1] Kalman filtering approach have been employed for the prediction of air pollution. However, due to its heavy computation burden, Kalman filtering techniques have yet seldom been applied to realistic two dimensional problems. Heemink [2], [3], developed a time-invariant filter approach to obtain a computational effective filter based on the two dimensional shallow water equations for storm surge prediction. In this paper the ideas presented in [2], [3], are extended to obtain an efficient Kalman filtering procedure for the estimation and prediction of air pollution. A different approa

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