An Introduction to Estimation Theory (gtSpecial IssueltData Assimilation in Meteology and Oceanography: Theory and Practice)
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[1] Monique Tanguay,et al. Four‐dimensional data assimilation with a wide range of scales , 1995 .
[2] Ricardo Todling,et al. A fixed-lag Kalman smoother for retrospective data assimilation , 1994 .
[3] Shian-Jiann Lin,et al. Parallel Implementation of a Kalman Filter for Constituent Data Assimilation , 1997 .
[4] W. Menke. Geophysical data analysis : discrete inverse theory , 1984 .
[5] Andrew F. Bennett,et al. Inverse Methods in Physical Oceanography: Frontmatter , 1992 .
[6] S. Cohn,et al. Assessing the Effects of Data Selection with the DAO Physical-Space Statistical Analysis System* , 1998 .
[7] J. Derber. A Variational Continuous Assimilation Technique , 1989 .
[8] B. Anderson,et al. Optimal Filtering , 1979, IEEE Transactions on Systems, Man, and Cybernetics.
[9] A. Jazwinski. Stochastic Processes and Filtering Theory , 1970 .
[10] Wayne R. Ott,et al. ENVIRONMENTAL STATISTICS and DATA ANALYSIS , 1995 .
[11] Norman A. Phillips,et al. The Equations of Motion for a Shallow Rotating Atmosphere and the “Traditional Approximation” , 1966 .
[12] R. Daley. The Effect of Serially Correlated Observation and Model Error on Atmospheric Data Assimilation , 1992 .
[13] R. Daley. Estimating Model-Error Covariances for Application to Atmospheric Data Assimilation , 1992 .
[14] G. Evensen. Sequential data assimilation with a nonlinear quasi‐geostrophic model using Monte Carlo methods to forecast error statistics , 1994 .
[15] D. Dee. On-line Estimation of Error Covariance Parameters for Atmospheric Data Assimilation , 1995 .
[16] M. Ehrendorfer. The Liouville Equation and Its Potential Usefulness for the Prediction of Forecast Skill. Part II: Applications , 1994 .
[17] R. E. Kalman,et al. A New Approach to Linear Filtering and Prediction Problems , 2002 .
[18] Roger Daley,et al. Estimating the Wind Field from Chemical Constituent Observations: Experiments with a One-Dimensional Extended Kalman Filter , 1995 .
[19] R. Todling,et al. Suboptimal Schemes for Atmospheric Data Assimilation Based on the Kalman Filter , 1994 .
[20] T. Kailath,et al. An innovations approach to least-squares estimation--Part II: Linear smoothing in additive white noise , 1968 .
[21] G. Backus,et al. Uniqueness in the inversion of inaccurate gross Earth data , 1970, Philosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences.
[22] M. Ehrendorfer. The Liouville Equation and Its Potential Usefulness for the Prediction of Forecast Skill. Part I: Theory , 1994 .
[23] Roger Daley,et al. The application of Kalman smoother theory to the estimation of 4DVAR error statistics , 1996 .
[24] A. Lorenc. A Global Three-Dimensional Multivariate Statistical Interpolation Scheme , 1981 .
[25] R. McPherson,et al. The NMC Operational Global Data Assimilation System , 1979 .
[26] Ionel M. Navon,et al. Conjugate-Gradient Methods for Large-Scale Minimization in Meteorology , 1987 .
[27] R. Daley. The Lagged Innovation Covariance: A Performance Diagnostic for Atmospheric Data Assimilation , 1992 .
[28] Gene H. Golub,et al. Matrix computations , 1983 .
[29] Gerd Bürger,et al. Interactive Kaiman filtering , 1994 .
[30] Philippe Courtier,et al. Use of cloud‐cleared radiances in three/four‐dimensional variational data assimilation , 1994 .
[31] Andrew C. Lorenc,et al. Analysis methods for numerical weather prediction , 1986 .
[32] Eric C. Hackert,et al. Data Assimilation Applied to the Temperature and Circulation in the Tropical Atlantic, 1983–84 , 1990 .
[33] Lance M. Leslie,et al. Tropical Cyclone Prediction Using a Barotropic Model Initialized by a Generalized Inverse Method , 1993 .
[34] Michael Ghil,et al. Advanced data assimilation in strongly nonlinear dynamical systems , 1994 .
[35] C. Rodgers. Characterization and Error Analysis of Profiles Retrieved From Remote Sounding Measurements , 1990 .
[36] S. Cohn. Dynamics of Short-Term Univariate Forecast Error Covariances , 1993 .
[37] P. Courtier,et al. A strategy for operational implementation of 4D‐Var, using an incremental approach , 1994 .
[38] Dick Dee,et al. Observability of discretized partial differential equations , 1988 .
[39] Gérald Desroziers,et al. A Coordinate Transformation for Objective Frontal Analysis , 1993 .
[40] R. Curtain. A Survey of Infinite-Dimensional Filtering , 1975 .
[41] Alper K. Caglayan,et al. A separated bias identification and state estimation algorithm for nonlinear systems , 1983, Autom..
[42] Philippe Courtier,et al. Four‐Dimensional Assimilation In the Presence of Baroclinic Instability , 1992 .
[43] Harold W. Sorenson,et al. Parameter estimation: Principles and problems , 1980 .
[44] Michel Loève,et al. Probability Theory I , 1977 .
[45] A. Tarantola. Inverse problem theory : methods for data fitting and model parameter estimation , 1987 .
[46] Alston S. Householder,et al. The Theory of Matrices in Numerical Analysis , 1964 .
[47] H. W. Sorenson,et al. Kalman filtering : theory and application , 1985 .
[48] Arthur Gelb,et al. Applied Optimal Estimation , 1974 .
[49] J. Seinfeld,et al. Distributed Parameter Systems: Theory and Applications , 1989 .
[50] Erik H. Vanmarcke,et al. Random Fields: Analysis and Synthesis. , 1985 .
[51] Lennart Bengtsson,et al. Integration of Space and In Situ Observations to Study Global Climate Change , 1988 .
[52] Kenneth H. Bergman,et al. Multivariate Analysis of Temperatures and Winds Using Optimum Interpolation , 1979 .
[53] R. Todling,et al. Approximate Data Assimilation Schemes for Stable and Unstable Dynamics , 1996 .
[54] C. E. Leith,et al. Stochastic backscatter in a subgrid-scale model: Plane shear mixing layer , 1990 .
[55] Roger Daley,et al. Spectral Characteristics of Kalman Filter Systems for Atmospheric Data Assimilation , 1993 .
[56] Yong Li. A note on the uniqueness problem of variational adjustment approach to four-dimensional data assimilation , 1991 .
[57] John Derber,et al. The National Meteorological Center's spectral-statistical interpolation analysis system , 1992 .
[58] R. Daley. Estimating observation error statistics for atmospheric data assimilation , 1993 .
[59] D. Catlin. Estimation, Control, and the Discrete Kalman Filter , 1988 .
[60] Arlindo da Silva,et al. Data assimilation in the presence of forecast bias , 1998 .
[61] T. Kailath,et al. An innovations approach to least-squares estimation--Part III: Nonlinear estimation in white Gaussian noise , 1971 .
[62] Eugenia Kalnay,et al. Ensemble Forecasting at NMC: The Generation of Perturbations , 1993 .
[63] E. Epstein,et al. Stochastic dynamic prediction , 1969 .
[64] John Derber,et al. A Global Oceanic Data Assimilation System , 1989 .