Fast recursive reconstruction of large time varying multidimensional fields
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We develop computationally fast and storage efficient implementations for the Kalman-Bucy filter (KBf) for data assimilation problems with large time varying multidimensional fields. We refer to them as the block KBf (bKBf) and the localized block KBf (lbKBf). For fields defined on a 2D lattice of linear dimension I, the bKBf reduces the computational complexity of the KBf by O(I). The lbKBf saves further on computations by a factor of I and decreases the storage requirements by O(I). We illustrate the IbKBf in assimilating satellite measurements in physical oceanography, presenting simulations for an equatorial beta plane.
[1] José M. F. Moura,et al. Assimilation of satellite data in beta-plane ocean circulation models , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.
[2] Christopher S. Ruf,et al. TOPEX/Poseidon Microwave Radiometer (TMR). I. Instrument description and antenna temperature calibration , 1995, IEEE Trans. Geosci. Remote. Sens..
[3] M. Ghil,et al. Data assimilation in meteorology and oceanography , 1991 .
[4] A. E. Gill. Atmosphere-Ocean Dynamics , 1982 .