1 |
Parrish, D. F. and J. C. Derber, 1992: The National Meteorological Center's Spectral Statistical Interpolation analysis system. Mon. Wea. Rev., 120, 1747-1763.
DOI
|
2 |
Song, H.-J. and G.-H. Lim, 2009: An efficient retrospective optimal interpolation algorithm compared with the fixed-lag Kalman smoother by assuming a perfect model. Tellus A, 61, 610-620.
DOI
ScienceOn
|
3 |
Alag, G. S. and G. B. Gilyard, 1990: A proposed Kalman Filter Algorithm for Estimation of Unmeasured Output Variables for an F100 Turbofan Engine. NASA Technical Memorandum 4234, 29 pp.
|
4 |
Bouttier, F. and P. Courtier, 1999: Data assimilation concepts and methods. Meteorological Training Course Lecture Series. ECMWF.
|
5 |
Grewal, M. S. and A. P. Andrews, 2001: Kalman Filtering: Theory and Practice Using MATLAB, second edition. Wiley Inter-Science, 401 pp.
|
6 |
Fisher, M., 2001: Assimilation Techniques (5): Approximate Kalman Filters and Singular Vectors. Meteorological Training Course Lecture Series. 10 pp.
|
7 |
Lorenz, E. M., 1995: Predictability: A problem partly solved. In Seminar on Predictability, Vol. I, ECMWF, Reading, UK, 1-18.
|
8 |
Mcgee, L. A. and S. F. Schmidt, 1985: Discovery of the Kalman Filter as a Practical tool for Aerospace and Industry, NASA technical memorandum 86847, 21 PP.
|