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Multistep variational data assimilation: important issues and a spectral approach Cover

Multistep variational data assimilation: important issues and a spectral approach

By: ,  ,  ,  ,   and    
Open Access
|Dec 2016

References

  1. Derber J. , Bouttier F . A reformulation of the background error covariance in the ECMWF global data assimilation system. Tellus A. 1999; 51: 195221.
  2. Derber J. , Rosati A . A global oceanic data assimilation system. J. Phys. Oceanogr. 1989; 19: 13331347.
  3. Gao J. , Smith T. M. , Stensrud D. J. , Fu C. , Calhoun K. , co-authors . A realtime weather-adaptive 3DVAR analysis system for severe weather detections and warnings. Weather Forecast. 2013; 28: 727745.
  4. Hollingsworth A. , Lonnberg P . The statistical structure of short-range forecast errors as determined from radiosonde data. Part I: the wind field. Tellus A. 1986; 38: 111136.
  5. Jazwinski A. H . Stochastic Processes and Filtering Theory. 1970; San Diego, CA: Academic Press. 376 pp.
  6. Li Z. , McWilliams J. C. , Ide K. , Farrara J. D . A multiscale variational data assimilation scheme: formulation and illustration. Mon. Weather Rev. 2015; 143: 38043822.
  7. Liu S. , Xue M. , Gao J. , Parrish D . Analysis and impact of super-obbed Doppler radial velocity in the NCEP grid-point statistical interpolation (GSI) analysis system. Extended abstract. 17th Conference on Numerical Weather Prediction. 2005; DC: Washington. Amer. Meteor. Soc., 13A-4.
  8. Lonnberg P. , Hollingsworth A . The statistical structure of short-range forecast errors as determined from radiosonde data. Part II: the covariance of height and wind errors. Tellus A. 1986; 38: 137161.
  9. Parrish D. F. , Derber J. C . The national meteorological center's spectral statistical-interpolation analysis system. Mon. Weather Rev. 1992; 120: 17471763.
  10. Purser R. J. , Wu W.-S. , Parrish D. F. , Roberts N. M . Numerical aspects of the application of recursive filters to variational statistical analysis. Part II: spatially inhomogeneous and anisotropic general covariances. Mon. Weather. Rev. 2003; 131: 15361548.
  11. Wu W.-S. , Purser R. J. , Parrish D. F . Three-dimensional variational analysis with spatially inhomogeneous covariances. Mon. Weather Rev. 2002; 130: 29052916.
  12. Xie Y. , Koch S. , McGinley J. , Albers S. , Bieringer P. E. , co-authors . A space–time multiscale analysis system: a sequential variational analysis approach. Mon. Weather Rev. 2011; 139: 12241240.
  13. Xu Q . Measuring information content from observations for data assimilation: relative entropy versus Shannon entropy difference. Tellus A. 2007; 59: 198209.
  14. Xu Q . Measuring information content from observations for data assimilation: spectral formulations and their implications to observational data compression. Tellus A. 2011; 63: 793804.
  15. Xu Q. , Wei L . Estimation of three-dimensional error covariances. Part II: analysis of wind innovation vectors. Mon. Weather Rev. 2001; 129: 29392954.
  16. Xu Q. , Wei L . Estimation of three-dimensional error covariances. Part III: height-wind error correlation and related geostrophy. Mon. Weather. Rev. 2002; 130: 10521062.
  17. Xu Q. , Wei L . Measuring information content from observations for data assimilation: utilities of spectral formulations for radar data compression. Tellus A. 2011; 63: 10141027.
  18. Xu Q. , Wei L. , Nai K. , Liu S. , Rabin R. M. , co-authors . A radar wind analysis system for nowcast applications. Adv. Meteorol. 2015; 2015: 264515, 13.
  19. Xu Q. , Wei L. , Van Tuyl A. , Barker E. H . Estimation of three-dimensional error covariances. Part I: analysis of height innovation vectors. Mon. Weather. Rev. 2001; 129: 21262135.
Language: English
Page range: 31110 - 31110
Submitted on: Jan 25, 2016
Accepted on: Apr 26, 2016
Published on: Dec 1, 2016
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services

© 2016 Qin Xu, Li Wei, Jidong Gao, Qingyun Zhao, Kang Nai, Shun Liu, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.