References
- Cohn, S. E., Sivakumaran, N. S. and Todling, R. 1994. A fixed-lag Kalman smoother for retrospective data assimilation. Mon. Wea. Rev. 122, 2838–2867.
- Daley, R. 1991. Atmospheric Data Analysis. Cambridge University Press, New York.
- Errico, R. M. 2003. The workshop on applications of adjoint models in dynamic meteorology. Bull. Am. Meteorol. Soc. 84, 795–798.
- Errico, R. M. and Raeder, K. D. 1999. An examination of the accuracy of the linearization of a mesoscale model with moist physics. Quart. J. R. Meteorol. Soc. 125, 169–195.
- Fertig, E. J., Harlim, J. and Hunt, B. R. 2007. A comparative study of 4D-VAR and a 4D Ensemble Kalman Filter: perfect model simulations with Lorenz-96.Tellus 59A, 96-100.
- Hunt, B. R., Kalnay, E., Kostelich, E. J., Ott, E., Patil, D. J. and co-authors. 2004. Four-dimensional ensemble Kalman filtering.Tellus 56A, 273-277.
- Kalnay, E. 2003. Atmospheric Modeling, Data Assimilation and Pre-dictability. Cambridge University Press, New York.
- Le Dimet, F.-X. and Talagrand, J. 1986. Variational algorithms for analysis and assimilation of meteorological observations: theoretical aspects.Tellus 38A, 97-110.
- Lorenz, E. N. 1963. Deterministic nonperiodic flow. J. Atmos. Sci. 20, 130–141.
- Lorenz, E. N. 1996. Predictability-a problem partly solved. In: Pro-ceedings on Predictability, held at ECMWF on 4-8 September 1995. Reading, UK, 18 pp.
- Lorenz, E. N. and Emanuel, K. A. 1998. Optimal sites for supplementary weather observations: simulation with a small model. J. Atmos. Sci. 55, 399–414.
- Miller, R. N., Ghil, M. and Gauthiez, F. 1994. Advanced data assim-ilation in strongly nonlinear dynamical systems. J. Atmos. Sci. 51, 1037–1056.
- Pires, C., Vautard, R. and Talagrand, J. 1996. On extending the limits of variational assimilation in nonlinear chaotic systems.Tellus 48A, 96-121.
- Rabier, F. and Courtier, P. 1992. Four-dimensional assimilation in the presence of baroclinic instability. Quart. J. R. Meteorol. Soc. 118, 649–672.
- Rabier, E, Thepaut, J.-N. and Courtier, P. 1998. Extended assimilation and forecast experiments with a four-dimensional variational assimi-lation system. Quart. J. R. Meteorol. Soc. 124, 1861–1887.
- Ruggiero, F. H., Michalakes, J., Nehrkorn, T., Modica, G. D. and Zou, X. 2006. Development and tests of a new distributed-memory MM5 adjoint. J. Atmos. Ocean Sci. 23, 424–436.
- Song, H.-J., Lim, G.-H., Lee, D.-I. and Lee, H.-S. 2009. Comparison of retrospective optimal interpolation with four-dimensional variational assimilation. Tellus 61A, 428–437.
- Todling, R., Cohn, S. E. and Sivalcumaran, N. S. 1998. Suboptimal schemes for retrospective data assimilation based on the fixed-lag Kalman smoother.Mon. Wea. Rev. 126, 247-259.
- Zhang, F. 2005. Dynamics and structure of mesoscale error covariance of a winter cyclone estimated through short-range ensemble forecasts. Mon. Wea. Rev. 133, 2876–2893.
- Zhu, J. and Kamachi, M. 2000. The role of time step size in numer-ical stability of tangent linear models. Mon. Wea. Rev. 128, 1562–1572.
- Zhu, Y., Todling, R., Guo, J., Cohn, S. E., Navon, I. M. and co-author. 2003 The GEOS-3 retrospective data assimilation system: the 6-hour lag case. Mon. Wea. Rev. 131, 2129-2150.