Assimilating vortex position with an ensemble Kalman filter

Monthly Weather Review

Volumn 135, Issue 5, 2007, Pages 1828-1845

  Chen, Yongsheng ^a   Snyder, Chris ^a  

^a NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; KALMAN FILTERS; METEOROLOGICAL RADAR; SATELLITE IMAGERY; VORTEX FLOW;

ENSEMBLE KALMAN FILTER; NON-GAUSSIAN EFFECTS;

HURRICANES;

BAROTROPIC MODE; COMPUTER SIMULATION; DATA ASSIMILATION; ENSEMBLE FORECASTING; GAUSSIAN METHOD; HURRICANE; KALMAN FILTER; RADAR IMAGERY; SATELLITE IMAGERY; STORM TRACK; TWO-DIMENSIONAL MODELING; VORTEX FLOW; VORTICITY;

EID: 34249667650     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/MWR3351.1     Document Type: Article

References (61)

1. Aberson, S. D., and M. DeMaria, 1994: Verification of a nested barotropic hurricane track forecast model (VICBAR). Mon. Wea. Rev., 122, 2804-2815.
2. Aberson, S. D., M. A. Bender, and R. E. Tuleya, 1998: Ensemble forecasting of tropical cyclone tracks. Preprints, 12th Conf. on Numerical Weather Prediction, Phoenix, AZ, Amer. Meteor. Soc., 290-292.
3. Anderson, J. L., B. Wyman, S. Zhang, and T. Hoar, 2005: Assimilation of surface pressure observations using an ensemble filter in an idealized global atmospheric prediction system. J. Atmos. Sci., 62, 2925-2938.
4. Bender, M. A., R. J. Ross, R. E. Tuleya, and Y. Kurihara, 1993: Improvements in tropical cyclone track and intensity forecasts using the GFDL initialization system. Mon. Wea. Rev., 121, 2046-2061.
5. Burpec, R. W., S. D. Aberson, J. L. Franklin, S. J. Lord, and R. E. Tuleya, 1996: The impact of Omega dropwindsondes on operational hurricane track forecast models. Bull. Amer. Meteor. Soc., 77, 925-933.
6. Carr, L. E., III, and R. T. Williams, 1989: Barotropic vortex stability to perturbations from axisymmetry. J. Atmos. Sci., 46, 3177-3191.
7. Chan, J. C., and R. T. Williams, 1987: Analytical and numerical studies of the beta-effect in tropical cyclone motion. Part I: Zero mean flow. J. Atmos. Sci., 44, 1257-1265.
8. Chen, Y., and M. K. Yau, 2003: Asymmetric structures in a simulated landfalling hurricane. J. Atmos. Sci., 60, 2294-2312.
9. Chen, Y., G. Brunet, and M. K. Yau, 2003: Spiral bands in a simulated hurricane. Part II: Wave activity diagnostics. J. Atmos. Sci., 60, 1239-1256.
10. Cheung, K. K. W., and J. C. L. Chan, 1999a: Ensemble forecasting of tropical cyclone motion using a barotropic model. Part I: Perturbations of the environment. Mon. Wea. Rev., 127, 1229-1243.
11. Cheung, K. K. W., and J. C. L. Chan, 1999b: Ensemble forecasting of tropical cyclone motion using a barotropic model. Part II: Perturbations of the vortex. Mon. Wea. Rev., 127, 2617-2640.
12. Davidson, N. E., and H. C. Weber, 2000: The BMRC high-resolution tropical cyclone prediction system: TC-LAPS. Mon. Wea. Rev., 128, 1245-1265.
13. DeMaria, M., S. D. Aberson, K. V. Ooyama, and S. J. Lord, 1992: A nested spectral model for hurricane track forecasting. Mon. Wea. Rev., 120, 1628-1643.
14. Dowell, D.C., F. Zhang, L. J. Wicker, C. Snyder, and N. A. Crook, 2004: Wind and thermodynamic retrievals in the 17 May 1981 Arcadia, Oklahoma, supercell: Ensemble Kalman filter experiments. Mon. Wea. Rev., 132, 1982-2005.
15. Dvorak, V. F., 1975: Tropical cyclone intensity analysis and forecasting from satellite imagery. Mon. Wea. Rev., 103, 420-430.
16. Dvorak, V. F., 1984: Tropical cyclone intensity analysis using satellite data. NOAA Tech. Rep. NESDIS 11, 47 pp.
17. Elsberry, R., 1995: Tropical cyclone motion. Global Perspective on Tropical Cyclones, WMO/TD 693, R. Elsberry, Ed., WMO, 160-197.
18. Evensen, G., 1994: Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics. J. Geophys. Res., 99, 10 143-10 162.
19. Evensen, G., 2003: The ensemble Kalman filter: Theoretical formulation and practical implementation. Ocean Dyn., 53, 343-367.
20. Franklin, J. L., C. J. McAdie, and M. B. Lawrence, 2003: Trends in track forecasting for tropical cyclones threatening the United States, 1970-2001. Bull Amer. Meteor. Soc., 84, 1197-1203.
21. Gray, W. M., C. Neumann, and T. L. Tsui, 1991: Assessment of the role of aircraft reconnaissance on tropical cyclone analysis and forecasting. Bull. Amer. Meteor. Soc., 72, 1867-1883.
22. Hamill, T. M., and C. Snyder, 2000: A hybrid ensemble Kalman filter-3D variational analysis scheme. Mon. Wea. Rev., 128, 2905-2919.
23. Heming, J. T., S. Robinson, C. Woolcock, and K. Mylne, 2004: Tropical cyclone ensemble forecast product development and verification at the Met Office. Preprints, 26th Conf. on Hurricanes and Tropical Meteorology, Miami, FL, Amer. Meteor. Soc., 158-159.
24. Hoffman, B. N., Z. Liu, J.-F. Louis, and C. Grassotti, 1995: Distortion representation of forecast errors. Mon. Wea. Rev., 123, 2758-2770.
25. Houtekamer, P. L., and H. L. Mitchell, 1998: Data assimilation using an ensemble Kalman filter technique. Mon. Wea. Rev., 126, 796-811.
26. Houtekamer, P. L., G. Pellerin, M. Buehner, M. Charron, L. Spacek, and B. Hansen, 2005: Atmospheric data assimilation with an ensemble Kalman filter: Results with real observations. Mon. Wea. Rev., 133, 604-620.
27. Kalman, R. E., 1960: A new approach to linear filtering and prediction problems. J. Basic Eng., 82D, 35-45.
28. Kalman, R. E., and R. S. Bucy, 1961: New results in linear filtering and prediction theory. J. Basic Eng., 83D, 95-108.
29. Krishnamurti, T. N., R. Correa-Torres, G. Rohaly, and D. Oosterhof, 1997: Physical initialization and hurricane ensemble forecasts. Wea. Forecasting, 12, 503-514.
30. Kuhl, F. P., and C. R. Giardina, 1982: Elliptic Fourier features of a closed contour. Comput. Graphics Image Process., 18, 236-258.
31. Kurihara, Y., M. A. Bender, and R. J. Ross, 1993: An initialization scheme of hurricane models by vortex specification. Mon. Wea. Rev., 121, 2030-2045.
32. Kurihara, Y., R. E. Tuleya, and M. A. Bender, 1998: The GFDL hurricane prediction system and its performance in the 1995 hurricane season. Mon. Wea. Rev., 126, 1306-1322.
33. Lawson, G. W., and J. A. Hansen, 2005: Alignment error models and ensemble-based data assimilation. Mon. Wea. Rev., 133, 1687-1709.
34. Leidner, S. M., L. Isaksen, and R. N. Hoffman, 2003: Impact of NSCAT winds on tropical cyclones in the ECMWF 4DVAR assimilation system. Mon. Wea. Rev., 131, 3-26.
35. Leslie, L. M., and G. J. Holland, 1995: On the bogussing of tropical cyclones in numerical models: A comparison of vortex profiles. Meteor. Atmos. Phys., 56, 101-110.
36. Liu, Q., T. Marchok, H.-L. Pan, M. Bender, and S. Lord, 2002: Improvements in hurricane initialization and forecasting at NCEP with global and regional (GFDL) models. Tech. Procedures Bull. 472, NCEP/EMC Tech. Rep., 7 pp.
37. Liu, Y., D.-L. Zhang, and M. K. Yau, 1997: A multiscale numerical study of Hurricane Andrew (1992). Part I: Explicit simulation and verification. Mon. Wea. Rev., 125, 3073-3093.
38. Lord, S. J., 1991: A bogusing system for vortex circulations in the National Meteorological Center global forecast model. Preprints, 19th Conf. on Hurricanes and Tropical Meteorology, Miami, FL, Amer. Meteor. Soc., 328-330.
39. Marchok, T. P., Z. Toth, and Q. Liu, 2002: Use of the NCEP global ensemble for tropical cyclone track forecasting. Preprints, 25th Conf. on Hurricanes and Tropical Meteorology, San Diego, CA, Amen. Meteor. Soc., 176-177.
40. Melander, M. V., J. C. McWilliams, and N. J. Zabusky, 1987: Axisymmetrization and vorticity-gradient intensification of an isolated two-dimensional vortex through filamentation. J. Fluid Mech., 178, 137-159.
41. Mitchell, H. L., P. L. Houtekamer, and G. Pelerin, 2002: Ensemble size, balance, and model-error representation in an ensemble Kalman filter. Mon. Wea. Rev., 130, 2791-2808.
42. Montgomery, M. T., and R. J. Kallenbach, 1997: A theory for vortex Rossby-waves and its application to spiral bands and intensity changes in hurricanes. Quart. J. Roy. Meteor. Soc., 123, 435--465.
43. Morss, R. E., K. A. Emanuel, and C. Snyder, 2001: Idealized adaptive observation strategies for improving numerical weather prediction. J. Atmos. Sci., 58, 210-232.
44. Pu, Z., and S. A. Braun, 2001: Evaluation of bogus vortex techniques with four-dimensional variational data assimilation. Mon. Wea. Rev., 129, 2023-2039.
45. Ravela, S., K. Emanuel, and D. McLaughlin, 2004: Data assimilation by field alignment for coherent structures. Preprints, 26th Conf. on Hurricanes and Tropical Meteorology, Miami, FL, Amer. Meteor. Soc., 560-561.
46. Serrano, E., and P. Undén, 1994: Evaluation of a tropical cyclone bogusing method in data assimilation and forecasting. Mon. Wea. Rev., 122, 1523-1547.
47. Smith, G. B., and M. T. Montgomery, 1995: Vortex axisymmetrization: Dependence on azimuthal wavenumber or asymmetric radial structure changes. Quart. J. Roy. Meteor. Soc., 121, 1615-1650.
48. Smith, R. K., 1991: An analytic theory of tropical-cyclone motion in a barotropic shear flow. Quart. J. Roy. Meteor. Soc., 117, 685-714.
49. Smith, R. K., W. Ulrich, and G. Dietachmayer, 1990: A numerical study of tropical cyclone motion using a barotropic model. Part I: The role of vortex asymmetries. Quart. J. Roy. Meteor. Soc., 116, 337-362.
50. Snyder, C., and F. Zhang, 2003: Assimilation of simulated Doppler radar observations with an ensemble Kalman filter. Mon. Wea. Rev., 131, 1663-1677.
51. Sutyrin, G. G., 1989: Azimuthal waves and symmetrization of an intense vortex. Sov. Phys. Dokl., 34, 104-106.
52. Vigh, J., 2004: Evaluation of a kilo-member ensemble for track forecasting. Preprints, 26th Conf. on Hurricanes and Tropical Meteorology, Miami, FL, Amer. Meteor. Soc., 160-161.
53. Wang, Y., 2002: Vortex Rossby waves in a numerically simulated tropical cyclone. Part II: The role in tropical cyclone structure and intensity change. J. Atmos. Sci., 59, 1239-1262.
54. Weber, H., 2003: Hurricane track prediction using a statistical ensemble of numerical models. Mon. Wea. Rev., 131, 749-770.
55. Whitaker, J., and T. M. Hamill, 2002: Ensemble data assimilation without perturbed observations. Mon. Wea. Rev., 130, 1913-1924.
56. Xiao, Q., X. Zou, and B. Wang, 2000: Initialization and simulation of a landfalling hurricane using a variational bogus data assimilation scheme. Mon. Wea. Rev., 128, 2252-2269.
57. Zhang, F., C. Snyder, and J. Sun, 2004: Impacts of initial estimate and observation availability on convective-scale data assimilation with an ensemble Kalman filter. Mon. Wea. Rev., 132, 1238-1253.
58. Zhang, Z., and T. N. Krishnamurti, 1997: Ensemble forecasting of hurricane tracks. Bull. Amer. Meteor. Soc., 78, 2785-2795.
59. Zhang, Z., and T. N. Krishnamurti, 1999: A perturbation method for hurricane ensemble predictions. Mon. Wea. Rev., 127, 447-469.
60. Zhu, T., D.-L. Zhang, and F. Weng, 2002: Impact of the Advanced Microwave Sounding Unit measurements on hurricane prediction. Mon. Wea. Rev., 130, 2416-2432.
61. Zou, X., and Q. Xiao, 2000: Studies on the initialization and simulation of a mature hurricane using a variational bogus data assimilation scheme. J. Atmos. Sci., 57, 836-860.