Data assimilation in the presence of forecast bias

Quarterly Journal of the Royal Meteorological Society

Volumn 124, Issue 545, 1998, Pages 269-295

  Dee, Dick P ^a,b   Da Silva, Arlindo M ^b  

^a GENERAL SCIENCES CORPORATION   (United States)

^b NASA GODDARD SPACE FLIGHT CENTER   (United States)

Author keywords

Bias estimation; Statistical analysis; Systematic errors

Indexed keywords

EID: 0000674568     PISSN: 00359009     EISSN: None     Source Type: Journal    
DOI: 10.1256/smsqj.54511     Document Type: Article

References (38)

1. Andersen, B. D. O. and Moore, J. B. 1979 Optimal filtering. Prentice-Hall, Englewood Cliffs, NJ, USA
2. Baker, N. L. 1991 'An adaptive correction procedure for radiosonde geopotential height biases'. Pp. 192-194 in preprints, Ninth Conference on Numerical Weather Prediction. Denver, CO
3. Bartello, P. and Mitchell, H. L. 1992 A continuous three-dimensional model of short-range forecast error covariances. Tellus, 44a, 217-235
4. Blanchet-Badrinath, I. 1997 'Assimilation de données à l'aide d'un filtre de Kalman adaptatif pour un modèle d'océan.' PhD Thesis, Université Pierre et Marie Curie, Paris
5. Cohn, S. E. 1997 Introduction to estimation theory. J. Meteorol. Soc. Jpn.,15, 257-288
6. Cohn, S. E. and Todling, R. 1996 Approximate data assimilation schemes for stable and unstable dynamics. J. Meteorol. Soc. Jpn., 74, 63-75
7. Daley, R. 1991 Atmospheric data analysis. Cambridge University Press
8. Data Assimilation Office 1996 Algorithm Theoretical Basis Document Version 1.01. Data Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD 20771. World Wide Web site: http://dao.gsfc.nasa.gov/subpages/atbd.html
9. Dee, D. P. 1991 Simplification of the Kalman filter for meteorological data assimilation. Q. J. R. Meteorol. Soc., 117, 365-384 1995 On-line estimation of error covariance parameters for atmospheric data assimilation. Mon. Weather Rev., 123, 1128-1145
10. Dee, D. P. 1991 Simplification of the Kalman filter for meteorological data assimilation. Q. J. R. Meteorol. Soc., 117, 365-384 1995 On-line estimation of error covariance parameters for atmospheric data assimilation. Mon. Weather Rev., 123, 1128-1145
11. Derber, J. C. 1989 A variational continuous data assimilation technique. Mon. Weather Rev., 117, 2437-2446
12. Eyre, J. R. 1992 'A bias correction scheme for simulated TOVS brightness temperatures.' ECMWF Technical Memo 176
13. Friedland, B. 1969 Treatment of bias in recursive filtering. IEEE Trans. Autom. Contr., AC-14, 359-367 1978 Notes on separate-bias estimation. IEEE Trans. Autom. Contr., AC-23, 735-738
14. Friedland, B. 1969 Treatment of bias in recursive filtering. IEEE Trans. Autom. Contr., AC-14, 359-367 1978 Notes on separate-bias estimation. IEEE Trans. Autom. Contr., AC-23, 735-738
15. Ghil, M., Cohn, S., Tavantzis, J., Bube, K. and Isaacson, E. 1981 Applications of estimation theory to numerical weather prediction. Pp. 139-225 in Dynamic meteorology: Data assimilation methods. Eds. L. Bengtsson, M. Ghil and E. Källén. Springer-Verlag, New York
16. Griffith, A. K. and Nichols, N. K. 1996 'Accounting for model error in data assimilation using adjoint methods'. Pp. 195-204 in Computational Differentiation: Techniques, Applications, and Tools. Proceedings of the Second International SIAM Workshop on Computational Differentiation, Santa Fe, New Mexico, February 1996. Society for Industrial and Applied Mathematics, Philadelphia, PA
17. Hollingsworth, A. and Lönnberg, P. 1986 The statistical structure of short-range forecast errors as determined from rawinsonde data. Part I: The wind field. Tellus, 38A, 111-136
18. Houtekamer, P. L., Lefaivre, L., Derome, J., Ritchie, H. and Mitchell, H. L. 1996 A system simulation approach to ensemble prediction. Mon. Weather Rev., 124, 1225-1242
19. Ignagni, M. B. 1981 An alternate derivation and extension of Friedland's two-stage Kalman estimator. IEEE Trans. Autom. Contr., AC-26, 746-750 1990 Separate-bias Kalman estimator with bias state noise. IEEE Trans. Autom. Contr., AC-35, 338-341
20. Ignagni, M. B. 1981 An alternate derivation and extension of Friedland's two-stage Kalman estimator. IEEE Trans. Autom. Contr., AC-26, 746-750 1990 Separate-bias Kalman estimator with bias state noise. IEEE Trans. Autom. Contr., AC-35, 338-341
21. Jazwinski, A. H. 1970 Stochastic processes and filtering theory. Academic Press, New York
22. Julian, P. R. 1991 'RADCOR91 - The new radiosonde radiation error correction procedure.' NMC Office Note 374
23. Lönnberg, P. and Hollingsworth, A. 1986 The statistical structure of short-range forecast errors as determined from rawinsonde data. Part II: The covariance of height and wind errors. Tellus, 38A, 137-161
24. Lorenc, A. C. 1981 A global three-dimensional multivariate statistical interpolation scheme. Mon. Weather Rev., 109, 701-721
25. Mendel, J. M. 1976 Extension of Friedland's bias filtering technique to a class of nonlinear systems. IEEE Trans. Autom. Contr., AC-21, 296-298
26. Miyakoda, K. and Sirutis, J. 1990 Subgrid scale physics in 1-month forecasts. Part II: Systematic error and blocking forecasts. Mon. Weather Rev., 118, 1065-1081
27. Reynolds, C., Gelaro, R. and Murphree, T. 1996 Observed and simulated Northern Hemisphere intraseasonal circulation anomalies and the influence of model bias. Mon. Weather Rev., 124, 1100-1118
28. Richtmyer, R. D. and Morton, K. W. 1967 Difference methods for initial-value problems, 2nd edition. Wiley-Interscience, New York
29. Rutherford, I. 1972 Data assimilation by statistical interpolation of forecast error fields. J. Atmos. Sci., 29, 809-815
30. Saha, S. 1992 Response of the NMC MRF Model to systematic-error correction within integration. Mon. Weather Rev., 120, 345-360
31. Schlatter, T. W. 1975 Some experiments with a multivariate statistical objective analysis scheme. Mon. Weather Rev., 103, 246-256
32. Tacker, E. C. and Lee, C. C. 1972 Linear filtering in the presence of time-varying bias. IEEE Trans. Autom. Contr., AC-17, 828-829
33. Takacs, L. and Suarez, M. J. 1996 'Dynamical aspects of climate simulations using the GEOS General Circulation Model.' NASA Technical Memo No. 104606, Vol. 10, Goddard Space Flight Center, Greenbelt, MD 20771
34. Tenenbaum J. 1996 Jet stream wind analyses: Comparison of aircraft observations with analyses. Weather and Forecasting, 11, 188-197
35. Thiébaux, H. J. and Morone, L. L. 1990 Short-term systematic errors in global forecasts: their estimation and removal. Tellus, 42A, 209-229
36. Tibaldi, S. and Molteni, F. 1990 On the operational predictability of blocking. Tellus, 42A, 343-365
37. Toth, Z. and Kalnay, E. 1993 Ensemble forecasting at the National Meteorological Center: The generation of perturbations. Bull. Amer. Meteorol. Soc., 74, 2317-2330
38. Zhou, D. H., Sun, Y. X., Xi, Y. G. and Zhang, Z. J. 1993 Extension of Friedland's separate-bias estimation to randomly time-varying bias of nonlinear systems. IEEE Trans. Autom. Contr., AC-38, 1270-1273