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A new localization implementation scheme for ensemble data assimilation of non-local observations Cover

A new localization implementation scheme for ensemble data assimilation of non-local observations

By: ,   and    
Open Access
|Jan 2011

References

  1. Anderson , J. L . 2001 . An ensemble adjustment filter for data assimila-tion. Mon . Wea. Re v . 129 , 2884 2903 .
  2. Anderson , J. L . 2007 . Exploring the need for localization in ensemble data assimilation using a hierarchical ensemble filter . Physica D 230 , 99 111 .
  3. Bishop , C. H. and Hodyss , D . 2007 . Flow adaptive moderation of spuri-ous ensemble correlations and its use in ensemble-based data assimi-lation . Quart. J. R. Meteor. Soc . 133 , 2029 2044 .
  4. Bishop , C. H. and Hodyss , D . 2009a . Ensemble covariances adaptively localized with ECO-RAP. Part 1: Tests on simple error models . Tellus 61A , 84 96 .
  5. Bishop , C. H. and Hodyss , D . 2009b . Ensemble covariances adaptively localized with ECO-RAP. Part 2: A strategy for the atmosphere . Tellus 61A , 97 111 .
  6. Buehner M. and Charron , M . 2007 . Spectral and spatial localization of background-error correlations for data assimilation . Quart. J. R. Meteor Soc . 133 , 615 630 .
  7. Evensen , G . 2003 . The ensemble Kalman filter: theoretical formulation and practical implementation . Ocean Dyn . 53 , 343 367 .
  8. Evensen , G . 2004 . Sampling strategies and square root analysis schemes for the EnKF . Ocean Dyn . 54 , 539 560 .
  9. Evensen , G . 2007 . Data Assimilation—The Ensemble Kalman Filter . Springer , Berlin , 279 pp .
  10. Fertig , E. J. , Hunt , B. R. , Ott , E. and Szunyogh , I . 2007 . Assimilating non-local observations with a local ensemble Kalman filter . Tellus 59A , 719 730 .
  11. Gaspari , G. and Cohn , S. E . 1999 . Construction of correlation functions in two and three dimensions . Quart. J. R. Meteor Soc . 125 , 723 757 .
  12. Hamill , T. M. , Whitaker , J. S. and Snyder , C . 2001 . Distance-dependent filtering of background-error covariance estimates in an ensemble Kalman filter. Mon . Wea. Re v . 129 , 2776 2790 .
  13. Houtekamer , P. L. and Mitchell , H. L . 1998 . Data assimilation using an ensemble Kalman filter technique. Mon . Wea. Re v . 126 , 796 811 .
  14. Houtekamer , P. L. and Mitchell , H. L . 2001 . A sequential ensemble Kalman filter for atmospheric data assimilation. Mon . Wea. Re v . 129 , 123 137 .
  15. Houtekamer , P. L. and Mitchell , H. L . 2005 . Ensemble Kalman filtering . Quart. J. R. Meteor Soc . 131 , 3269 3289 .
  16. Keenlyside , N. and Kleeman , R . 2002 . Annual cycle of equato-rial zonal currents in the Pacific. J. Geophys. Res . 107 , 10.1029/2000JC0007111 .
  17. Keppenne , C. L . 2000 . Data assimilation into a primitive equation model with a parallel ensemble Kalman filter. Mon . Wea. Re v . 128 , 1971 1981 .
  18. Liu , C. , Xiao , Q. and Wang , B . 2009 . An ensemble-based four-dimensional variational data assimilation scheme. part Observing system simulation experiments with advanced research WRF (ARW). Mon . Wea. Re v . 137 , 1687 1704 .
  19. McCreary , J. P . 1981 . A linear stratified ocean model of the equatorial undercurrent . Philos. Trans. R. Soc. (Lond .) 298 , 603 635 .
  20. Oke , P. R. , Sakov , P. and Corney , S. P . 2007 . Impacts of localisation in the EnKF and EnOI: experiments with a small model . Ocean Dyn . 57 , 32 45 .
  21. 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 .
  22. Reynolds , R. W. , Rayner , N. A. , Smith , T. M. , Stokes , D. C. and Wang , W . 2002 . An improved in situ and satellite SST analysis for climate . J. Climate 15 , 1609 1625 .
  23. Sakov , P. and Oke , P. R . 2008a . Implications of the form of the ensemble transformations in the ensemble square root filters. Mon . Wea. Re v . 136 , 1042 1053 .
  24. Sakov , P. and Oke , P. R . 2008b . A deterministic formulation of the ensemble Kalman filter: an alternative to ensemble square root filters . Tellus 60A , 361 371 .
  25. Whitaker , J. S. , Compo , G. P. , Wei , X. and Hamill , T. M . 2004 . Reanal-ysis without Radiosondes Using Ensemble Data Assimilation. Mon . Wea. Re v . 132 , 1190 1200 .
  26. Whitaker , J. S. and Hamill , T. M . 2002 . Ensemble data assimilation without perturbed observations. Mon . Wea. Re v . 130 , 1913 1924 .
  27. Whitaker , J. S. , Hamill , T. M. and Wei , X . 2008 . Ensemble data assim-ilation with the NCEP Global Forecast System. Mon . Wea. Re v . 136 , 463 482 .
  28. Zhang , R.-H. , Zebiak , S. E. , Kleeman , R. and Keenlyside , N . 2005 . Ret-rospective El Nino forecast using an improved intermediate coupled model. Mon . Wea. Re v . 133 , 2777 2802 .
  29. Zheng , F. and Zhu , J . 2008 . Balanced multivariate model error in the ensemble lcalman filter data assimilation for an intermediate coupled model. J. Geophys. Res . C113, C07002, 10.1029/2007JC004621 .
  30. Zheng , F. , Zhu , J. , Wang , H. and Zhang , R.-H . 2009 . Ensemble hindcasts of ENSO events over the past 120 years using a large number of ensembles. Adv . Atmos. Sc i . 26 , 359 372 .
  31. Zheng , F. , Zhu , J. , Zhang , R.-H. and Thou , G. Q . 2006 . Ensemble hindcasts of SST anomalies in the tropical Pacific using an in-termediate coupled model . Geophys. Res. Lett . 33 , L19604 , 10.1029/2006GL026994 .
  32. Zheng , F. , Thu , J. and Zhang , R.-H . 2007 . The impact of altimetry data on ENSO ensemble initializations and predictions . Geophys. Res. Lett . 34 , L13611 , 10.1029/2007GL030451 .
Language: English
Page range: 244 - 255
Submitted on: Sep 18, 2009
Accepted on: Apr 23, 2010
Published on: Jan 1, 2011
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services

© 2011 Jiang Zhu, Fei Zheng, Xichen Li, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.