Navon, Michael - School of Computational Science, Florida State University

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• Maximum Likelihood Ensemble Filter: Exploiting dynamic localization of Lyapunov vectors Milija Zupanski1, Steven J. Fletcher1, I. Michael Navon2, Bahri Uzunoglu2, Ross P. Heikes3, Tod D. Ringler3, and David A. Randall3
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• A perfectly matched layer formulation for the nonlinear shallow water equations models: The split
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• On a posteriori pointwise error estimation using adjoint temperature and Lagrange remainder
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• 6.4 REDUCED-ORDER OBSERVATION SENSITIVITY IN 4D-VAR DATA ASSIMILATION
• Imperial College LondonPage 1 F. Fang1, C.C. Pain1, I.M. Navon2, M.D. Piggott1, G.J. Gorman1,
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• Q. J.R. Meteorol. SOC.(2001), 127,pp. 1095-1122 Four-dimensionalvariational data assimilation with a diabatic version of the
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• Ensemble Particle Filter with Posterior Gaussian By X. Xiong1
• Perturbation Theory Instructor: Dr I. M.Navon, 470 Dirac Science Library Building, 644-6560,
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• CURRICULUM VIT Ionel Michael Navon
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• I.M. NAVON* Department of Mathematics and School of Computational Science and Information Technology, Science Library Building, Room 470,
• Q. J. R. Meteorol.SOC.(2001), 127,pp. 661-683 Optimality of variational data assimilation and its relationship with the Kalman
• POD Model Reduction of Large Scale Geophysical Models
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• U WORKSHOP ON PREDICTABILITY, OBSERVATIONS, AND UNCERTAINTIES IN GEOSCIENCES
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• JOURNAL OF GEOPHYSICAL RESEARCH, VOL. ???, XXXX, DOI:10.1029/, Comparison of Ensemble Data Assimilation for the
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• Finite-element simulation of the shallow-water equations
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• Prof. I.M. Navon November 28, 2009
• Optimal control of flow with discontinuities Chris Homescu, I.M. Navon *
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• Documentation of the Multitasked Tangent Linear and Adjoint Models of the Adiabatic Version of the NASA GEOS-2 GCM
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• Reduced order borehole induction modelling N. Ardjmandpour1, C. Pain2, F. Fang2, J. Singer1, M. A. Player1, Xu Xu1, I. M. Navon3, J.
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