Empirical correction of a dynamical model. Part I: Fundamental issues

Monthly Weather Review

Volumn 127, Issue 11, 1999, Pages 2533-2545

  Delsole, Timothy ^a,b   Hou, Arthur Y ^a  

^a NASA GODDARD SPACE FLIGHT CENTER   (United States)

^b Ctr Ocean Land Atmosphere Studs   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EMPIRICAL ANALYSIS; ERROR CORRECTION; FORECASTING METHOD;

EID: 0033394342     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/1520-0493(1999)127<2533:ECOADM>2.0.CO;2     Document Type: Article

References (23)

1. Charney, J. G., R. G. Fleagel, H. Riehl, V. E. Lally, and D. Q. Wark, 1966: The feasibility of a global observation and analysis experiment. Bull. Amer. Meteor. Soc., 47, 200-220.
2. Daley, R., 1992: Estimating model-error covariances for application to atmospheric data assimilation. Mon. Wea. Rev., 120, 1735-1746.
3. Dee, D., and A. da Silva, 1998: Data assimilation in the presence of forecast bias. Quart. J. Roy. Meteor. Soc., 124, 269-295.
4. DelSole, T., and A. Y. Hou, 1999: Empirical stochastic models for the dominant climate statistics of a general circulation model. J. Atmos. Sci., 56, 3436-3456.
5. Derber, J. C., 1989: A variational continuous assimilation technique. Mon. Wea. Rev., 117, 2437-2446.
6. Epstein, E., 1969: Stochastic dynamic prediction. Tellus, 21, 739-759.
7. Faller, A. J., and D. K. Lee, 1975: Statistical corrections to numerical prediction equations. Mon. Wea. Rev., 103, 845-855.
8. _, and C. E. Schemm, 1977: Statistical corrections to numerical prediction equations. II. Mon. Wea. Rev., 105, 37-56.
9. Farrell, B. F., and P. J. Ioannou, 1996: Generalized stability theory. Part I: Autonomous operators. J. Atmos. Sci., 53, 2025-2040.
10. Friedland, B., 1969: Treatment of bias in recursive filtering. IEEE Trans. Auront. Control, AC-14, 359-367.
11. Johansson, A., and S. Saha, 1989: Simulation of systematic error effects and their reduction in a simple model of the atmosphere. Mon. Wea. Rev., 117, 1658-1675.
12. Klinker, E., and P. D. Sardeshmukh, 1992: The diagnosis of mechanical dissipation in the atmosphere from large-scale balance requirements. J. Atmos. Sci., 49, 608-626.
13. Leith, C. E., 1974: Theoretical skill of Monte Carlo forecasts. Mon. Wea. Rev., 102, 409-418.
14. _, 1978: Objective methods for weather prediction. Annu. Rev. Fluid Mech., 10, 107-128.
15. Lorenz, E. N., 1956: Empirical orthogonal functions and statistical weather prediction. Statistical Forecasting Project Rep. 1, Massachusetts Institute of Technology, 49 pp.
16. _, 1969: The predictability of a flow which possesses many scales of motion. Tellus, 21, 289-307.
17. _, 1977: An experiment in nonlinear statistical weather forecasting. Mon. Wea. Rev., 105, 590-602.
18. _, 1982: Atmospheric predictablity experiments with a large numerical model. Tellus, 34, 505-513.
19. Penland, C., and T. Magorian, 1993: Prediction of Nino 3 sea surface temperature using linear inverse modeling. J. Climate, 6, 1067-1076.
20. Saha, S., 1992: Response of the NMC MRF model to systematic-error correction within integration. Mon. Wea. Rev., 120, 345-360.
21. Schemm, C. E., D. A. Unger, and A. J. Faller, 1981: Statistical corrections to numerical prediction equations. III. Mon. Wea. Rev., 109, 96-109.
22. Schemm, J.-K. E., and A. J. Faller, 1986: Statistical corrections to numerical prediction equations. IV. Mon. Wea. Rev., 114, 2402-2417.
23. Schubert, S., and Y. Chang, 1996: An objective method for inferring sources of model error. Mon. Wea. Rev., 124, 325-340.