Effect of targeted dropsonde observations and best track data on the track forecasts of Typhoon Sinlaku (2008) using an ensemble Kalman filter

Tellus, Series A: Dynamic Meteorology and Oceanography

Volumn 64, Issue 1, 2012, Pages

  Jung, Byoung Joo ^a   Kim, Hyun Mee ^a   Zhang, Fuqing ^b   WU, Chun Chieh ^c  

^a Yonsei University   (South Korea)

^b PENNSYLVANIA STATE UNIVERSITY   (United States)

^c NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

Ensemble kalman filter; T PARC; Targeted dropsonde observations; Typhoon best track data; Typhoon track forecast

Indexed keywords

ENSEMBLE FORECASTING; ERROR ANALYSIS; KALMAN FILTER; SEA LEVEL PRESSURE; STORM TRACK; TROPICAL CYCLONE; TYPHOON; VORTEX FLOW;

EID: 84865137453     PISSN: 02806495     EISSN: 16000870     Source Type: Journal    
DOI: 10.3402/tellusa.v64i0.14984     Document Type: Article

References (99)

1. Aberson, S. D. 2002. Two years of operational hurricane synoptic surveillance. Wea. Forecast. 17, 1101-1110.
2. Aberson, S. D. 2003. Targeted observations to improve opera- tional tropical cyclone track forecast guidance. Mon. Wea. Rev. 131, 1613-1628.
3. Aberson, S. D. 2008. Large forecast degradations due to synoptic surveillance during the 2004 and 2005 hurricane seasons. Mon. Wea. Rev. 136, 3138-3150.
4. Aberson, S. D. 2010. 10 years of Hurricane Synoptic Surveillance (1997-2006). Mon. Wea. Rev. 138, 1536-1549.
5. Aberson, S. D. and Etherton, B. J. 2006. Targeting and data assimilation studies during Hurricane Humberto (2001). J. Atmos. Sci. 63, 175-186.
6. Aberson, S. D. and Franklin, J. L. 1999. Impact on hurricane track and intensity forecasts of GPS dropwindsonde observations from the first-season flights of the NOAA Gulfstream-IV jet aircraft. Bull. Am. Meteorol. Soc. 80, 421-427.
7. Aberson, S. D., Majumdar, S. J., Reynolds, C. A. and Etherton, B. J. 2011. An observing system experiment for tropical cyclone targeting techniques using the Global Forecast System. Mon. Wea. Rev. 139, 895-907.
8. Aksoy, A., Dowell, D. C. and Snyder, C. 2009. A multicase comparative assessment of the ensemble Kalman filter for assimilation of radar observations. Part I: Storm-scale analyses. Mon. Wea. Rev. 137, 1805-1824.
9. Anthes, R. A., Ector, D., Hunt, D. C., Kuo, Y.-H., Rocken, C. and et-al. 2008. The COSMIC/FORMOSAT-3 Mission: early results. Bull. Am. Meteorol. Soc. 89, 313-333.
10. Betts, A. K. 1986. A new convective adjustment scheme. Part I: observational and theoretical basis. Quart. J. R. Meteorol. Soc. 112, 677-691.
11. Betts, A. K. and Miller, M. J. 1986. A new convective adjustment scheme. Part II: single column tests using GATE wave, BOMEX, ATEX and Arctic air-mass data sets. Quart. J. R. Meteorol. Soc. 112, 693-709.
12. Bishop, C. H., Etherton, B. J. and Majumdar, S. J. 2001. Adaptive sampling with the ensemble transform Kalman filter. Part I: theoretical aspects. Mon. Wea. Rev. 129, 420- 435.
13. Bormann, N., Saarinen, S., Kelly, G. and Thepaut, J.-N. 2003. The spatial structure of observation errors in atmospheric motion vectors from geostationary satellite data. Mon. Wea. Rev. 131, 706-718.
14. Buizza, R., Cardinali, C., Kelly, G. and Thépaut, J.-N. 2007. The value of observations. II: the value of observations located in singular-vector-based target areas. Quart. J. R. Meteorol. Soc. 133, 1817-1832.
15. Buizza, R., Petroliagis, T., Palmer, T., Barkmeijer, J., Hamrud, M. and et-al. 1998. Impact of model resolution and ensemble size on the performance of an Ensemble Prediction System. Quart. J. R. Meteorol. Soc. 114, 1935-1960.
16. Buizza, R., Richardson, D. S. and Palmer, T. N. 2003. Benefits of increased resolution in the ECMWF ensemble system and comparison with poor-man's ensembles. Quart. J. R. Meteorol. Soc. 129, 1269-1288.
17. Burpee, R. W., Aberson, S. D., Franklin, J. L., Lord, S. J. and Tuleya, R. E. 1996. The impact of omega dropwindsondes on operational hurricane track forecast models. Bull. Am. Meteorol. Soc. 77, 925-933.
18. Chen, F. and Dudhia, J. 2001. Coupling an advanced land surface-hydrology model with the Penn State-NCAR MM5 modeling system. Part II: model implementation and sensitivity. Mon. Wea. Rev. 129, 569-585.
19. Chen, Y. and Snyder, C. 2006. Initializing a hurricane vortex with an ensemble Kalman filter. In: Proceedings of the Seventh WRF Users Workshop, Boulder, CO, Preprints. Online at: www.mmm. ucar.edu/wrf/users/workshops/WS2006/abstracts/Session03/3_3_ Chen.pdf.
20. Chen, Y. and Snyder, C. 2007. Assimilation vortex position with an ensemble Kalman filter. Mon. Wea. Rev. 135, 1828-1845.
21. Chou, K.-H. and Wu, C.-C. 2008. Development of the typhoon initialization in a mesoscale model -combination of the bogused vortex with the dropwindsonde data in DOTSTAR. Mon. Wea. Rev. 136, 865-879.
22. Chou, K.-H., Wu, C.-C., Lin, P.-H., Aberson, S. D., Weissmann, M. and et-al. 2011. The impact of dropwindsonde observations on typhoon track forecasts in DOTSTAR and T-PARC. Mon. Wea. Rev. 139, 1728-1743.
23. Daley, R. 1991. Atmospheric Data Analysis. Cambridge University Press. New York, USA, 457 pp.
24. Dudhia, J. 1989. Numerical study of convection observed during the Winter Monsoon Experiment using a mesoscale two- dimensional model. J. Atmos. Sci. 46, 3077-3107.
25. Elsberry, R. L. and Harr, P. A. 2008. Tropical cyclone structure (TCS08) field experiment science basis, observational platforms, and strategy. Asia-Pacific J. Atmos. Sci. 44, 209-231.
26. Evensen, G. 1994. Sequential data assimilation with a nonlinear quasi-geostrophicmodel using Monte Carlo methods to forecast error statistics. J. Geophys. Res. 99, 10143-10162.
27. Gaspari, G. and Cohn, S. E. 1999. Construction of correlation functions in two and three dimensions. Quart. J. R. Meteorol. Soc. 125, 723-757.
28. Grell, G. A. 1993. Prognosticevaluation of assumptions used by cumulus parameterizations. Mon. Wea. Rev. 121, 764-787.
29. Grell, G. A. and Devenyi, D. 2002. A generalized approach to parameterizing convection combining ensemble and data assim- ilation techniques. Geophys. Res. Lett. 29, 1693. doi:10.1029/2002GL015311.
30. Hamill, T. M. 2001. Interpretation of rank histograms for verifying ensemble forecasts. Mon. Wea. Rev. 129, 550-560.
31. Hamill, T. M., Whitaker, J. S., Fiorino, M. and Benjamin, S. G. 2011. Global ensemble predictions of 2009's tropical cyclones initialized with an ensemble Kalman filter. Mon. Wea.Rev. 139, 668-688.
32. 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. Rev. 129, 2776-2790.
33. Harnisch, F. and Weissmann, M. 2010. Sensitivity of typhoon forecasts to different subsets of targeted dropsonde observa- tions. Mon. Wea. Rev. 138, 2664-2680.
34. Hong, S.-Y., Dudhia, J. and Chen, S.-H. 2004. A revised approach to ice microphysical processes for the parameterization of clouds and precipitation. Mon. Wea. Rev. 132, 103-120.
35. Hong, S.-Y. and Lim, J.-O. 2006. The WRF single-moment 6-class microphysics scheme (WSM6). J. Korean Meteorol. Soc. 42, 129-151.
36. Hong, S.-Y., Noh, Y. and Dudhia, J. 2006. A new vertical diffusion package with an explicit treatment of entrainment processes. Mon. Wea. Rev. 134, 2318-2341.
37. Hou, D., Kalnay, E. and Droegemeier, K. K. 2001. Objective verification of the SAMEX'98 ensemble forecasts. Mon. Wea. Rev. 128,73-91.
38. Houtekamer, P. L. and Mitchell, H. L. 2001. A sequential ensemble Kalman filter for atmosphericdata assimilation. Mon. Wea. Rev. 129, 123-137.
39. Houtekamer, P. L., Mitchell, H. L., Pellerin, G., Buehner, M., Charron, M. and et-al. 2005. Atmospheric data assimila- tion with an ensemble Kalman filter: results with real observa- tions. Mon. Wea. Rev. 133, 604-620.
40. Hsiao, L.-F., Liou, C.-S., Yeh, T.-C., Guo, Y.-R., Chen, D.-S. and et-al. 2010. A vortex relocation scheme for tropical cyclone initialization in Advanced Research WRF. Mon. Wea. Rev. 138, 3298-3315.
41. Huang, C.-Y., Kuo, Y.-H., Chen, S.-H. and Vandenberghe, F. 2005. Improvements in typhoon forecast with assimilated GPS occultation refractivity. Wea. Forecast. 20, 931-953.
42. Janjić, Z. I. 1994. The step-mountain Eta coordinate model: further developments of the convection, viscous sub- layer, and turbulence closure schemes. Mon. Wea. Rev. 122, 927-945.
43. Janjić, Z. I. 2002. Nonsingular implementation of the Mellor- Yamada level 2.5 scheme in the NCEP Meso model. NCEP Office Note 437, 61 pp.
44. Jung, B.-J., Kim, H. M., Kim, Y.-H., Jeon, E.-H. and Kim, K.-H. 2010. Observation system experiments for Typhoon Jangmi (200815) observed during T-PARC. Asia-Pacific J. Atmos. Sci. 46, 305-316.
45. Kain, J. S. 2004. The Kain-Fritsch convective parameterization: an update. J. Appl. Meteorol. 43, 170-181.
46. Kain, J. S. and Fritsch, J. M. 1993. Convective parameterization for mesoscale models: the Kain-Fritcsh scheme. In: The Representation of Cumulus Convection in Numerical Models (eds. K. A. Emanuel and Raymond D. J). American Meteor- ological Society Monograph, Boston, USA, 246 pp.
47. Kaplan, J. and DeMaria, M. 2003. Large-scale characteristics of rapidly intensifying tropical cyclones in the North Atlantic basin. Wea. Forecast. 18, 1093-1108.
48. Kim, H. M. and Jung, B.-J. 2009a. Singular vector structure and evolution of a recurving tropical cyclone. Mon. Wea. Rev. 137, 505-524.
49. Kim, H. M. and Jung, B.-J. 2009b. Influence of moist physics and norms on singular vectors for a tropical cyclone. Mon. Wea. Rev. 137, 525-543.
50. Kim, H. M. and Morgan, M. C. 2002. Dependence of singular vector structure and evolution on the choice of norm. J. Atmos. Sci. 59, 3099-3116.
51. Kurihara, Y., Bender, M. A., Tuleya, R. E. and Ross, R. J. 1995. Improvements in the GFDL hurricane prediction system. Mon. Wea. Rev. 121, 2030-2045.
52. Langland, R. H. 2005. Issues in targeted observing. Quart. J. R. Meteorol. Soc. 131, 3409-3425.
53. Langland, R. H., Velden, C., Pauley, P. M. and Berger, H. 2009. Impact of satellite-derived rapid-scan wind observations on numerical model forecasts of Hurricane Katrina. Mon. Wea. Rev. 137, 1615-1622.
54. Lin, Y.-L., Farley, R. D. and Orville, H. D. 1983. Bulk parameterization of the snow field in a cloud model. J. Climate Appl. Meteorol. 22, 1065-1092.
55. Majumdar, S. J., Aberson, S. D., Bishop, C. H., Buizza, R., Peng, M. S. and et-al. 2006. A comparison of adaptive observing guidance for Atlantic tropical cyclones. Mon. Wea. Rev. 134, 2354-2372.
56. Mellor, G. L. and Yamada, T. 1982. Development of a turbulence closure model for geophysical fluid problems. Rev. Geophys. 20, 851-875.
57. Meng, Z. and Zhang, F. 2007. Test of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part II: imperfect model experiments. Mon. Wea. Rev. 135, 1403-1423.
58. Meng, Z. and Zhang, F. 2008a. Test of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part III: comparison with 3DVAR in a real-data case study. Mon. Wea. Rev. 136, 522-540.
59. Meng, Z. and Zhang, F. 2008b. Test of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part IV: performance over a warm-season month of June 2003. Mon. Wea. Rev. 136, 3671-3682.
60. Meng, Z. and Zhang, F. 2011. Limited area ensemble based data assimilation: a review. Mon. Wea. Rev. 139, 2025-2045.
61. Mlawer, E. J., Taubman, S. J., Brown, P. D., Iacono, M. J. and Clough, S. A. 1997. Radiative transfer for inhomogeneous atmosphere: RRTM, a validated correlated-k model for the long-wave. J. Geophys. Res. 102D, 16663-16682.
62. Noh, Y., Cheon, W. G., Hong, S.-Y. and Raasch, S. 2003. Improvement of the K-profile model for the planetary boundary layer based on large eddy simulation data. Bound. Layer Meteorol. 107, 401-427.
63. Palmer, T. N., Gelaro, R., Barkmeijer, J. and Buizza, R. 1998. Singular vectors, metrics and adaptive observations. J. Atmos. Sci. 55, 633-653.
64. Parsons, D., Harr, P., Nakazawa, T., Jones, S. and Weissmann, M. 2008. An overview of the THORPEX - Pacific Asian Regional Campaign (T-PARC) during August-September 2008. Proceedings of the 28th Conference on Hurricanes and Tropical Meteorology, Orlando, FL, AMS, 1-6.
65. Peng, M. S. and Reynolds, C. A. 2006. Sensitivity of tropical cyclone forecasts as revealed by singular vectors. J. Atmos. Sci. 63, 2508-2528.
66. Pu, Z.-X. and Braun, S. A. 2001. Evaluation of bogus vortex techniques with four-dimensional variational data assimilation. Mon. Wea. Rev. 129, 2023-2039.
67. Pu, Z.-X., Li, X., Velden, C. S., Aberson, S. D. and Lui, W. T. 2008. The impact of aircraft dropsonde and satellite wind data on numerical simulations of two landfalling tropical storms during the Tropical Cloud Systems and Processes Experiment. Wea. Forecast. 23,62-79.
68. Rabier, F., Gauthier, P., Cardinali, C., Langland, R., Tsyrulnikov, M. and et-al. 2008. An update on THORPEX-related research in data assimilation and observing strategies. Nonlin. Processes Geophys. 15,81-94.
69. Reynolds, C. A., Peng, M. S., Majumdar, S. J., Aberson, S. D., Bishop, C. H. and et-al. 2007. Interpretation of adaptive observing guidance for Atlantic tropical cyclones. Mon. Wea. Rev. 135, 4006-4029.
70. Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Barker, D. M. and et-al. 2005. A description of the Advanced Research WRF version 2. NCAR Tech. Note NCAR/TN- 468+STR, 88 pp.
71. Snyder, C. and Zhang, F. 2003. Assimilation of simulated Doppler radar observations with an ensemble Kalman filter. Mon. Wea. Rev. 131, 1663-1677.
72. Szunyogh, I., Kostelich, E. J., Gyarmati, G., Kalnay, E., Hunt, B. R. and et-al. 2008. A local ensemble transform Kalman filter data assimilation for the NCEP global model. Tellus. 60, 113-130.
73. Thompson, G., Rasmussen, R. M. and Manning, K. 2004. Explicit forecasts of winter precipitation using an improved bulk microphysics scheme. Part I: description and sensitivity analysis. Mon. Wea. Rev. 132, 519-542.
74. 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.
75. Torn, R. D. 2010. Performance of a mesoscale ensemble Kalman filter (EnKF) during the NOAA high-resolution hurricane test. Mon. Wea. Rev. 138, 4375-4392.
76. Torn, R. D. and Hakim, G. J. 2008. Performance characteristics of a pseudo-operational ensemble Kalman filter. Mon. Wea. Rev. 136, 3947-3963.
77. Torn, R. D. and Hakim, G. J. 2009. Ensemble data assimilation applied to RAINEX observations of Hurricane Katrina (2005). Mon. Wea. Rev. 137, 2817-2829.
78. Torn, R. D., Hakim, G. J. and Snyder, C. 2006. Boundary conditions for limited-area ensemble Kalman filters. Mon. Wea. Rev. 134, 2490-2502.
79. Velden, C., Daniels, J., Stettner, D., Santek, D., Key, J. and et-al. 2005. Recent innovations in deriving tropospheric winds from meteorological satellites. Bull. Am. Meteorol. Soc. 86, 205-223.
80. Weissmann M., Harnisch, F., Wu, C.-C., Lin, P.-H., Ohta, Y. and et-al. 2011. The influence of dropsondes on typhoon track and mid-latitude forecasts. Mon. Wea. Rev. 139, 908-920.
81. Weng, Y., Zhang, M. and Zhang, F. 2011. Advanced data assimilation for cloud-resolving hurricane initialization and prediction. Computing in Science and Engineering. 13,40-49.
82. Whitaker, J. S. and Hamill, T. M. 2002. Ensemble data assimila- tion without perturbed observations. Mon. Wea. Rev. 103, 1913-1924.
83. Whitaker, J. S., Hamill, T. M., Wei, X., Song, Y. and Toth, Z. 2008. Ensemble data assimilation with the NCEP Global Forecast System. Mon. Wea. Rev. 136, 463-482.
84. Wu, C.-C., Chen, J.-H., Majumdar, S. J., Peng, M. S., Reynolds, C. A. and et-al. 2009. Inter-comparison of targeted observation guidance for tropical cyclones in the Northwestern Pacific. Mon. Wea. Rev. 137, 2471-2492.
85. Wu, C.-C., Chou, K.-H., Lin, P.-H., Aberson, S. D., Peng, M. S. and et-al. 2007. The impact of dropwindsonde data on typhoon track forecasts in DOTSTAR. Wea. Forecast. 22, 1157-1176.
86. Wu, C.-C., Chou, K.-H., Wang, Y. and Kuo, Y.-H. 2006. Tropical cyclone initialization and prediction based on four-dimensional variational data assimilation. J. Atmos. Sci. 63, 2383-2395.
87. Wu, C.-C., Lien, G.-Y., Chen, J.-H. and Zhang, F. 2010. Assimila- tion of tropical cyclone track and structure based on the ensemble Kalman filter (EnKF). J. Atmos. Sci. 67, 3806-3822.
88. Wu, C.-C., Lin, P.-H., Aberson, S., Yeh, T.-C., Huang, W.-P. and et-al. 2005. Dropwindsonde Observations for Typhoon Surveillance near the Taiwan Region (DOTSTAR): an overview. Bull. Am. Meteorol. Soc. 86, 787-790.
89. Xiao, Q., Chen, L. and Zhang, X. 2008. Evaluations of BDA scheme using the advanced research WRF (ARW) model. J. Appl. Meteorol. Climatol. 48, 680-689.
90. Xiao, Q., Kuo, Y.-H., Zhang, Y., Barker, D. M. and Won, D.-J. 2006. A tropical cyclone bogus data assimilation scheme in the MM5 3D-Var system and numerical experiments with Typhoon Rusa (2002) near landfall. J. Meteorol. Soc. Japan. 84, 671-689.
91. Xiao, Q., Zou, X. and Wang, B. 2000. Initialization and simulation of a landfalling hurricane using a variational bogus data assimilation scheme. Mon. Wea. Rev. 129, 2252-2269.
92. Xue, M. and Martin, W. J. 2006. A high-resolution modeling study of the 24 May 2002 case during IHOP. Part I: numerical simulation and general evolution of the dryline and convection. Mon. Wea. Rev. 134, 149-171.
93. Yamaguchi, M., Iriguchi, T., Nakazawa, T. and Wu, C.-C. 2009. An observing system experiment for Typhoon Conson (2004) using a singular vector method and DOTSTAR data. Mon. Wea. Rev. 137, 2801-2816.
94. Zhang, F. 2005. Dynamics and structure of mesoscale error covariance of a winter cyclone estimated through short-range ensemble forecasts. Mon. Wea. Rev. 133, 2876-2893.
95. Zhang, F., Meng, Z. and Aksoy, A. 2006. Test of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part I: perfect model experiments. Mon. Wea. Rev. 134, 722-736.
96. Zhang, F., Snyder, C. and Sun, J. 2004. Impacts of initial estimate and observation availability on convective-scale data assimilation with an ensemble Kalman filter. Mon. Wea. Rev. 132, 1238-1253.
97. Zhang, F., Weng, Y., Sippel, J. A., Meng, Z. and Bishop, C. H. 2009. Cloud-resolving hurricane initialization and prediction through assimilation of Doppler radar observations with an ensemble Kalman filter. Mon. Wea. Rev. 137, 2105-2125.
98. Zhu, Y., Iyengar, G., Toth, Z., Tracton, M. S. and Marchok, T. 1996. Objective evaluation of the NCEP global ensemble forecasting system. Preprints, In: Proceedings of the 15th Conference on Weather Analysis and Forecasting. Norfolk, VA, AMS, J79-J82.
99. Zou, X. and Xiao, Q. 2000. Studies on the initialization and simulation of a mature hurricane using a variational bogus data assimilation scheme. J. Atmos. Sci. 57, 836-860.