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Titlebook: Data Assimilation; Tools for Modelling Pierre P. Brasseur,Jacques C. J. Nihoul Conference proceedings 1994 Springer-Verlag Berlin Heidelbe

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A Sensitivity Analysis of Variational Data Assimilation,ut difficulty. The analysis of the covariance matrix reveals that we can fit the initial sea surface height distribution to an rms which is a factor of 5 smaller than the standard deviation of the satellite measurements. The Rossby-radius is the only model parameter which can be determined with accu
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Perspectives on Advanced Data Assimilation in Strongly Nonlinear Systems,ethods now popular in numerical weather prediction (see, e.g., LeDimet and Talagrand, 1986) present little conceptual difficulty in the nonlinear case, but solutions to the variational problem may be difficult to find in the case of strong nonlinearity, and interpretation of results obtained from su
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Li Jian,Liu Meng,Duan Yufeng,Xu Chaout difficulty. The analysis of the covariance matrix reveals that we can fit the initial sea surface height distribution to an rms which is a factor of 5 smaller than the standard deviation of the satellite measurements. The Rossby-radius is the only model parameter which can be determined with accu
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1431-7125 of data assimilation is to combine real observations via estimation theory with dynamic models. Related methodologies exist in meteorology, geophysics and engineering. Of growing importance in physical oceanography, data assimilation can also be exploited in biological and chemical oceanography. Suc
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Ferriferous Clay Granules and Faciesnd potential vorticity, on isopycnals, is advocated for use with altimetric data. A tentative scenario of how new data sets may be used to improve our understanding of the ocean circulation is presented.
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