138
Views
22
CrossRef citations to date
0
Altmetric
Original Articles

Data assimilation in a system with two scales—combining two initialization techniques

, &
Pages 539-549 | Received 14 Apr 2008, Accepted 05 Mar 2009, Published online: 15 Dec 2016

References

  • Anderson, J. L. 2001. An ensemble adjustment filter for data assimila-tion. Mon. Wea. Rev. 129, 2884–2903.
  • Anthes, R. A. 1974. Data Assimilation and initialization of hurricane prediction models.J. Atmos. Sci. 31, 702-719.
  • Ballabrera-Poy, J., Brasseur, P. and Verron, J. 2001. Dynamical evolution of the error statistics with the SEEK filter to assimilate altimetric data in eddy-resolving ocean models. Q. J. R. MeteoroL Soc. 127, 233–253.
  • Cane, M. A., Kaplan, A., Miller, R. N., Tang, B., Hackert, E. C. and co-authors. 1996. Mapping tropical Pacific sea level: data assimilation via a reduced state space Kalman filter.J. Geophys. Res. 101, 22599-22617.
  • Corazza, M., Kalnay, E. and Yang, S.-C. 2007. An implementation of the Local Ensemble Kalman Filter in a quasi geostrophic model and comparison with 3D-Var. Nonlin. Proc. Geophys. 14, 89–101.
  • Deschamps, L. and Talagrand, J. 2007. On some aspects of the definition of initial conditions for ensemble prediction. Mon. Wea. Rev. 135, 3260-3272.
  • Evensen, G. 1994. Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statis-tics. J. Geophys. Res. 99, 10143–10162.
  • Hunt, B. R., Kostelich, E. J. and Szunyogh, I. 2007. Efficient data assim-ilation for spatiotemporal chaos: a local ensemble transform Kalman filter.Physica D 230, 112-126.
  • Kalman, R. E. and Bucy, R. S. 1960. A new approach to linear filtering and prediction problems. J. Basic Eng. (ASME) 82D, 35–45.
  • Kalnay, E. 2003. Atmospheric Modeling, Data Assimilation and Predictability. Cambridge University Press, Cambridge, 364 pp.
  • Kalnay, E., Li, H., Miyoshi, T., Yang, S.-C. and Ballabrera-Poy, J. 2007. 4-D-Var or ensemble Kalman filter? Tellus 59A, 758-773.
  • Lorene, A.C. 2003. The potential of the ensemble Kalman filter for NWP—a comparison with 4D-Var. Q. J. R. Meteorol. Soc. 129,3183–3203.
  • Lorenz, E. N. and Emanuel, K. A. 1998. Optimal sites for supplementary weather observations: simulations with a small model. J. Atmos. Sci. 55, 399–414.
  • Meehl, G. A., Lukas, R., Kiladis, G. N., Weickmann, K. M., Matthews, A. J. and co-authors. 2001. A conceptual framework for time and space scale interactions in the climate system.Clim. Dyn. 17, 753-775.
  • Miller, R.N. and Cane, M. A 1989. A Kalman Filter analysis of sea level height in the tropical Pacific. J. Phys. Oceanogr 19, 773–790.
  • Ott, E., Hunt, B. R., Szunyogh, I., Zimin, A. V., Kostelich, E. J. and co-authors. 2004. A local ensemble Kalman filter for atmospheric data assimilation.Tellus 56A, 415-428.
  • Saha, S., Nadiga, S., Thiaw, C., Wang, J., Wang, W. and co-authors. 2006. The NCEP Climate Forecast System. J. Clim. 19, 3483-3517.
  • Whitaker, J. S. and Hamill, T. M. 2002. Ensemble data assimilation without perturbed observations. Mon. Wea. Rev. 130, 1913–1924.