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MPO 674 Lecture 18

MPO 674 Lecture 18. 4 /3/ 12. NCEP vs ECMWF 3d-Var vs 4d-Var. 3d-Var vs EnKF. 3d-Var vs EnKF. Innovation 10 m/s Ob error 0.1 m/s 4 (u,v) obs 1 degree from center in GSI 1 v ob 150km east of center in WRF/EnKF. CAVEAT: Different Storms!. GSI Analysis Increment of v (m/s)

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MPO 674 Lecture 18

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  1. MPO 674 Lecture 18 4/3/12

  2. NCEP vs ECMWF3d-Var vs 4d-Var

  3. 3d-Var vsEnKF

  4. 3d-Var vsEnKF • Innovation 10 m/s • Ob error 0.1 m/s • 4 (u,v) obs 1 degree from center in GSI • 1 v ob 150km east of center in WRF/EnKF. • CAVEAT: Different Storms!

  5. GSI Analysis Increment of v (m/s) Operational Lz WRF/EnKF Analysis Increment of v (m/s)

  6. GSI Analysis Increment of v (m/s) 2 x Lz WRF/EnKF Analysis Increment of v (m/s)

  7. GSI Analysis Increment of v (m/s) 4 x Lz WRF/EnKF Analysis Increment of v (m/s)

  8. Summary: 3d-Var vsEnKF • 3d-Var • Geostrophic & hydrostatic correction (needed 4 “obs”). • Local horizontal correction. • Significant increment only through boundary layer. • Increasing Lz improved storm structure and track forecast. • EnKF • Gradient wind correction (used only 1 “obs”). • Stronger winds associated with shifting the storm further east and increasing intensity of winds. • Troposphere-deep increment: vertical error correlation lengthscale equivalent to 4x of GSI.

  9. 3d-Var vs 4d-Var

  10. From Tom Hamill

  11. NOAA/ESRL: EnKF with GFS ECMWF: 4d-Var

  12. Sampling Errorand Covariance Localization

  13. Petrie (1998, MS Thesis)

  14. Filter Divergence

  15. Hamill et al. (2001, MWR)

  16. Hamill et al. (2001, MWR)

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