Skip to main content
Have a personal or library account? Click to login
Morphing ensemble Kalman filters Cover

Morphing ensemble Kalman filters

Open Access
|Jan 2008

References

  1. Alexander , G. D. , Weinman , J. A. and Schols , J. L. 1998 . The use of digital warping of microwave integrated water vapor imagery to im-prove forecasts of marine extratropical cyclones . Mon. Wea. Rev . 126 , 1469 1496 .
  2. Anderson , J. L. 2003 . A local least squares framework for ensemble filtering . Mon. Wea. Rev . 131 , 634 642 .
  3. Arganda-Carreras , I., O. Sanchez Sorzano , C. , Marabini , R. , Carazo , J. M. , Ortiz-de Solorzano , C. and co-authors . 2006. Consistent and elastic registration of histological sections using vector-spline regu-larization. Computer Vision Approaches to Medical Image Analysis Springer Berlin/Heidelberg, volume 4241 of Lecture Notes in Com-puter Science 85 95 .
  4. Brown , L. G. 1992 . A survey of image registration techniques . ACM Comput. Surveys 24 , 325 376 .
  5. Burgers , G. , van Leeuwen , P. J. and Evensen , G. 1998 . Analysis scheme in the ensemble Kalman filter . Mon. Wea. Rev . 126 , 1719 1724 .
  6. Chen , Y. and Snyder , C. 2007 . Assimilating vortex position with an ensemble Kalman filter . Mon. Wea. Rev . 135 , 1828 1845 .
  7. Darema , F., 2004 . Dynamic data driven applications systems: A new paradigm for application simulations and measurements. In: Com-putational Science-ICCS 2004: 4th International Conference (eds M. Bubak , G. D. van Albada , P.M. A. Sloot , and J. J. Dongarra ), Springer, volume 3038 of Lecture Notes in Computer Science 662 669 .
  8. Davis , C. , Brown , B. and Bullock , R. 2006 . Object-based verification of precipitation forecasts. Part I: methodology and application to mesoscale rain areas . Mon. Wea. Rev . 134 , 1772 1784 .
  9. Evensen , G., 1994 . Sequential data assimilation with nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statis-tics . J. Geophys. Res . 99 ( C5 ), 143 162 .
  10. Evensen , G. 2003 . The ensemble Kalman filter: Theoretical formulation and practical implementation . Ocean Dyn . 53 , 343 367 .
  11. Evensen , G. 2007 . Data Assimilation: The Ensemble Kalman Filter . Springer , Berlin .
  12. Frey , A. E. , Hall , C. A. and Porsching , T. A. 1978 . Some results on the global inversion of bilinear and quadratic isoparametric finite element transformations . Math. Comput . 32 , 725 749 .
  13. Gao , P. and Sederberg , T. W. 1998 . A work minimization approach to image morphing . Visual Comput . 14 , 390 400 .
  14. Hoffman , R. N. , Liu , Z. , Louis , J. -E and Grassoti , C. 1995. Distortion representation of forecast errors. Mon. Wea. Rev . 123 , 2758-277 0 .
  15. Houtekamer , P. and Mitchell , H. L. 1998 . Data assimilation using an ensemble Kalman filter technique . Mon. Wea. Rev . 126 , 796 811 .
  16. Johns , C. J. and Mandel , J. 2005 . A two-stage ensemble Kalman filter for smooth data assimilation. Environmental and Ecological Statis-tics, in print. CCM Report 221, http://www.math.cudenver.edu/ccm/reports/rep221.pdf, conference on New Developments of Statistical Analysis in Wildlife, Fisheries, and Ecological Research, Oct 13-16, 2004, Columbia, MI.
  17. Kalman , R. E. 1960 . A new approach to linear filtering and prediction problems . Trans. ASME-J. Basic Eng., Ser D 82 , 35 45 .
  18. Kalnay , E. 2003 . Atmospheric Modeling, Data Assimilation and Pre-dictability . Cambridge University Press, Cambridge , UK .
  19. Lawson , W. G. and Hansen , J. A. 2005 . Alignment error models and ensemble-based data assimilation. Mon. Wea. Rev . 133 , 1687 - 1709 .
  20. Mandel , J. , Beezley , J. D. , Bennethum , L. S. , Soham Chalcraborty , J. L. C. , Douglas , C. C. and co-authors . 2007. A dynamic data driven wildland fire model. In: Computational Science-ICCS 2007: 7th Inter-national Conference (eds. Y. Shi , G. D. van Albada , P.M. A. Sloot and J. J. Dongarra ), Springer, volume 4487 of Lecture Notes in Computer Science 1042 - 1049 .
  21. Mandel , J. , Bennethum , L. S. , Beezley , J. D. , Coen , J. L. , Douglas , C. C. and co-authors. 2006. A wildfire model with data assimilation. CCM Report 233, http://www.math.cudenver.edu/ccm/reports .
  22. 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 .
  23. Ravela , S. , Emanuel , K. A. and McLaughlin , D. 2007 . Data assimilation by field alignment . Physica D 230 , 127 145 .
  24. Tippett , M. K. , Anderson , J. L. , Bishop , C. H. , Hamill , T. M. and Whitaker , J. S. 2003 . Ensemble square root filters. Mon. Wea. Rev . 131 , 1485 - 1490 .
Language: English
Page range: 131 - 140
Submitted on: Feb 6, 2007
Accepted on: Aug 20, 2007
Published on: Jan 1, 2008
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services

© 2008 Jonathan D. Beezley, Jan Mandel, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.