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

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

Open Access
|Dec 2012

References

  1. Aberson S. D. Two years of operational hurricane synoptic surveillance. Wea. Forecast. 2002; 17: 11011110.
  2. Aberson S. D. Targeted observations to improve operational tropical cyclone track forecast guidance. Mon. Wea. Rev. 2003; 131: 16131628.
  3. Aberson S. D. Large forecast degradations due to synoptic surveillance during the 2004 and 2005 hurricane seasons. Mon. Wea. Rev. 2008; 136: 31383150.
  4. Aberson S. D. 10 years of Hurricane Synoptic Surveillance (1997–2006). Mon. Wea. Rev. 2010; 138: 15361549.
  5. Aberson S. D. Etherton B. J. Targeting and data assimilation studies during Hurricane Humberto (2001). J. Atmos. Sci. 2006; 63: 175186.
  6. Aberson S. D. Franklin J. L. 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. 1999; 80: 421427.
  7. Aberson S. D. Majumdar S. J. Reynolds C. A. Etherton B. J. An observing system experiment for tropical cyclone targeting techniques using the Global Forecast System. Mon. Wea. Rev. 2011; 139: 895907.
  8. Aksoy A. Dowell D. C. Snyder C. A multicase comparative assessment of the ensemble Kalman filter for assimilation of radar observations. Part I: Storm-scale analyses. Mon. Wea. Rev. 2009; 137: 18051824.
  9. Anthes, R. A, Ector, D, Hunt, D. C, Kuo, Y.-H, Rocken, C. and co-authors. 2008. The COSMIC/FORMOSAT-3 Mission: early results. Bull. Am. Meteorol. Soc. 89, 313333.
  10. Betts A. K. A new convective adjustment scheme. Part I: observational and theoretical basis. Quart. J. R. Meteorol. Soc. 1986; 112: 677691.
  11. Betts A. K. Miller M. J. 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. 1986; 112: 693709.
  12. Bishop C. H. Etherton B. J. Majumdar S. J. Adaptive sampling with the ensemble transform Kalman filter. Part I: theoretical aspects. Mon. Wea. Rev. 2001; 129: 420435.
  13. Bormann N. Saarinen S. Kelly G. Thepaut J.-N. The spatial structure of observation errors in atmospheric motion vectors from geostationary satellite data. Mon. Wea. Rev. 2003; 131: 706718.
  14. Buizza R. Cardinali C. Kelly G. Thépaut J.-N. The value of observations. II: the value of observations located in singular-vector-based target areas. Quart. J. R. Meteorol. Soc. 2007; 133: 18171832.
  15. Buizza, R, Petroliagis, T, Palmer, T, Barkmeijer, J, Hamrud, M. and co-authors. 1998. Impact of model resolution and ensemble size on the performance of an Ensemble Prediction System. Quart. J. R. Meteorol. Soc. 114, 19351960.
  16. Buizza R. Richardson D. S. Palmer T. N. Benefits of increased resolution in the ECMWF ensemble system and comparison with poor-man's ensembles. Quart. J. R. Meteorol. Soc. 2003; 129: 12691288.
  17. Burpee R. W. Aberson S. D. Franklin J. L. Lord S. J. Tuleya R. E. The impact of omega dropwindsondes on operational hurricane track forecast models. Bull. Am. Meteorol. Soc. 1996; 77: 925933.
  18. Chen F. Dudhia J. Coupling an advanced land surface–hydrology model with the Penn State–NCAR MM5 modeling system. Part II: model implementation and sensitivity. Mon. Wea. Rev. 2001; 129: 569585.
  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. Snyder C. Assimilation vortex position with an ensemble Kalman filter. Mon. Wea. Rev. 2007; 135: 18281845.
  21. Chou K.-H. Wu C.-C. Development of the typhoon initialization in a mesoscale model – combination of the bogused vortex with the dropwindsonde data in DOTSTAR. Mon. Wea. Rev. 2008; 136: 865879.
  22. Chou, K.-H, Wu, C.-C, Lin, P.-H, Aberson, S. D, Weissmann, M. and co-authors. 2011. The impact of dropwindsonde observations on typhoon track forecasts in DOTSTAR and T-PARC. Mon. Wea. Rev. 139, 17281743.
  23. Daley, R. 1991. Atmospheric Data Analysis. Cambridge University Press: New YorkUSA, 457. pp.
  24. Dudhia J. Numerical study of convection observed during the Winter Monsoon Experiment using a mesoscale two-dimensional model. J. Atmos. Sci. 1989; 46: 30773107.
  25. Elsberry R. L. Harr P. A. Tropical cyclone structure (TCS08) field experiment science basis, observational platforms, and strategy. Asia-Pacific J. Atmos. Sci. 2008; 44: 209231.
  26. Evensen G. Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics. J. Geophys. Res. 1994; 99: 1014310162.
  27. Gaspari G. Cohn S. E. Construction of correlation functions in two and three dimensions. Quart. J. R. Meteorol. Soc. 1999; 125: 723757.
  28. Grell G. A. Prognostic evaluation of assumptions used by cumulus parameterizations. Mon. Wea. Rev. 1993; 121: 764787.
  29. Grell, G. A and Devenyi, D. 2002. A generalized approach to parameterizing convection combining ensemble and data assimilation techniques. Geophys. Res. Lett. 29, 1693. doi:10.1029/2002GL015311.
  30. Hamill T. M. Interpretation of rank histograms for verifying ensemble forecasts. Mon. Wea. Rev. 2001; 129: 550560.
  31. Hamill T. M. Whitaker J. S. Fiorino M. Benjamin S. G. Global ensemble predictions of 2009's tropical cyclones initialized with an ensemble Kalman filter. Mon. Wea .Rev. 2011; 139: 668688.
  32. Hamill T. M. Whitaker J. S. Snyder C. Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter. Mon. Wea. Rev. 2001; 129: 27762790.
  33. Harnisch F. Weissmann M. Sensitivity of typhoon forecasts to different subsets of targeted dropsonde observations. Mon. Wea. Rev. 2010; 138: 26642680.
  34. Hong S.-Y. Dudhia J. Chen S.-H. A revised approach to ice microphysical processes for the parameterization of clouds and precipitation. Mon. Wea. Rev. 2004; 132: 103120.
  35. Hong S.-Y. Lim J.-O. The WRF single-moment 6-class microphysics scheme (WSM6). J. Korean Meteorol. Soc. 2006; 42: 129151.
  36. Hong S.-Y. Noh Y. Dudhia J. A new vertical diffusion package with an explicit treatment of entrainment processes. Mon. Wea. Rev. 2006; 134: 23182341.
  37. Hou D. Kalnay E. Droegemeier K. K. Objective verification of the SAMEX'98 ensemble forecasts. Mon. Wea. Rev. 2001; 128: 7391.
  38. Houtekamer P. L. Mitchell H. L. A sequential ensemble Kalman filter for atmospheric data assimilation. Mon. Wea. Rev. 2001; 129: 123137.
  39. Houtekamer, P. L, Mitchell, H. L, Pellerin, G, Buehner, M, Charron, M. and co-authors. 2005. Atmospheric data assimilation with an ensemble Kalman filter: results with real observations. Mon. Wea. Rev. 133: 604620.
  40. Hsiao, L.-F, Liou, C.-S, Yeh, T.-C, Guo, Y.-R, Chen, D.-S. and co-authors. 2010. A vortex relocation scheme for tropical cyclone initialization in Advanced Research WRF. Mon. Wea. Rev. 138, 32983315.
  41. Huang C.-Y. Kuo Y.-H. Chen S.-H. Vandenberghe F. Improvements in typhoon forecast with assimilated GPS occultation refractivity. Wea. Forecast. 2005; 20: 931953.
  42. Janjić Z. I. The step-mountain Eta coordinate model: further developments of the convection, viscous sublayer, and turbulence closure schemes. Mon. Wea. Rev. 1994; 122: 927945.
  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. Kim K.-H. Observation system experiments for Typhoon Jangmi (200815) observed during T-PARC. Asia-Pacific J. Atmos. Sci. 2010; 46: 305316.
  45. Kain J. S. The Kain–Fritsch convective parameterization: an update. J. Appl. Meteorol. 2004; 43: 170181.
  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. K. A. Emanuel and Raymond D. J. American Meteorological Society Monograph: BostonUSA, 246. pp.
  47. Kaplan J. DeMaria M. Large-scale characteristics of rapidly intensifying tropical cyclones in the North Atlantic basin. Wea. Forecast. 2003; 18: 10931108.
  48. Kim H. M. Jung B.-J. Singular vector structure and evolution of a recurving tropical cyclone. Mon. Wea. Rev. 2009a; 137: 505524.
  49. Kim H. M. Jung B.-J. Influence of moist physics and norms on singular vectors for a tropical cyclone. Mon. Wea. Rev. 2009b; 137: 525543.
  50. Kim H. M. Morgan M. C. Dependence of singular vector structure and evolution on the choice of norm. J. Atmos. Sci. 2002; 59: 30993116.
  51. Kurihara Y. Bender M. A. Tuleya R. E. Ross R. J. Improvements in the GFDL hurricane prediction system. Mon. Wea. Rev. 1995; 121: 20302045.
  52. Langland R. H. Issues in targeted observing. Quart. J. R. Meteorol. Soc. 2005; 131: 34093425.
  53. Langland R. H. Velden C. Pauley P. M. Berger H. Impact of satellite-derived rapid-scan wind observations on numerical model forecasts of Hurricane Katrina. Mon. Wea. Rev. 2009; 137: 16151622.
  54. Lin Y.-L. Farley R. D. Orville H. D. Bulk parameterization of the snow field in a cloud model. J. Climate Appl. Meteorol. 1983; 22: 10651092.
  55. Majumdar, S. J, Aberson, S. D, Bishop, C. H, Buizza, R, Peng, M. S. and co-authors. 2006. A comparison of adaptive observing guidance for Atlantic tropical cyclones. Mon. Wea. Rev. 134, 23542372.
  56. Mellor G. L. Yamada T. Development of a turbulence closure model for geophysical fluid problems. Rev. Geophys. 1982; 20: 851875.
  57. Meng Z. Zhang F. Test of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part II: imperfect model experiments. Mon. Wea. Rev. 2007; 135: 14031423.
  58. Meng Z. Zhang F. 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. 2008a; 136: 522540.
  59. Meng Z. Zhang F. 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. 2008b; 136: 36713682.
  60. Meng Z. Zhang F. Limited area ensemble based data assimilation: a review. Mon. Wea. Rev. 2011; 139: 20252045.
  61. Mlawer E. J. Taubman S. J. Brown P. D. Iacono M. J. Clough S. A. Radiative transfer for inhomogeneous atmosphere: RRTM, a validated correlated-k model for the long-wave. J. Geophys. Res. 1997; 102D: 1666316682.
  62. Noh Y. Cheon W. G. Hong S.-Y. Raasch S. Improvement of the K-profile model for the planetary boundary layer based on large eddy simulation data. Bound. Layer Meteorol. 2003; 107: 401427.
  63. Palmer T. N. Gelaro R. Barkmeijer J. Buizza R. Singular vectors, metrics and adaptive observations. J. Atmos. Sci. 1998; 55: 633653.
  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, 16.
  65. Peng M. S. Reynolds C. A. Sensitivity of tropical cyclone forecasts as revealed by singular vectors. J. Atmos. Sci. 2006; 63: 25082528.
  66. Pu Z.-X. Braun S. A. Evaluation of bogus vortex techniques with four-dimensional variational data assimilation. Mon. Wea. Rev. 2001; 129: 20232039.
  67. Pu Z.-X. Li X. Velden C. S. Aberson S. D. Lui W. T. 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. 2008; 23: 6279.
  68. Rabier, F, Gauthier, P, Cardinali, C, Langland, R, Tsyrulnikov, M. and co-authors. 2008. An update on THORPEX-related research in data assimilation and observing strategies. Nonlin. Processes Geophys. 15, 8194.
  69. Reynolds, C. A, Peng, M. S, Majumdar, S. J, Aberson, S. D, Bishop, C. H. and co-authors. 2007. Interpretation of adaptive observing guidance for Atlantic tropical cyclones. Mon. Wea. Rev. 135, 40064029.
  70. Skamarock, W. C, Klemp, J. B, Dudhia, J, Gill, D. O, Barker, D. M. and co-authors. 2005. A description of the Advanced Research WRF version 2. NCAR Tech. Note NCAR/TN-468 + STR, 88. pp.
  71. Snyder C. Zhang F. Assimilation of simulated Doppler radar observations with an ensemble Kalman filter. Mon. Wea. Rev. 2003; 131: 16631677.
  72. Szunyogh, I, Kostelich, E. J, Gyarmati, G, Kalnay, E, Hunt, B. R. and co-authors. 2008. A local ensemble transform Kalman filter data assimilation for the NCEP global model. Tellus. 60, 113130.
  73. Thompson G. Rasmussen R. M. Manning K. Explicit forecasts of winter precipitation using an improved bulk microphysics scheme. Part I: description and sensitivity analysis. Mon. Wea. Rev. 2004; 132: 519542.
  74. Tippett M. K. Anderson J. L. Bishop C. H. Hamill T. M. Whitaker J. S. Ensemble square root filters. Mon. Wea. Rev. 2003; 131: 14851490.
  75. Torn R. D. Performance of a mesoscale ensemble Kalman filter (EnKF) during the NOAA high-resolution hurricane test. Mon. Wea. Rev. 2010; 138: 43754392.
  76. Torn R. D. Hakim G. J. Performance characteristics of a pseudo-operational ensemble Kalman filter. Mon. Wea. Rev. 2008; 136: 39473963.
  77. Torn R. D. Hakim G. J. Ensemble data assimilation applied to RAINEX observations of Hurricane Katrina (2005). Mon. Wea. Rev. 2009; 137: 28172829.
  78. Torn R. D. Hakim G. J. Snyder C. Boundary conditions for limited-area ensemble Kalman filters. Mon. Wea. Rev. 2006; 134: 24902502.
  79. Velden, C, Daniels, J, Stettner, D, Santek, D, Key, J. and co-authors. 2005. Recent innovations in deriving tropospheric winds from meteorological satellites. Bull. Am. Meteorol. Soc. 86, 205223.
  80. Weissmann M, Harnisch, F, Wu, C.-C, Lin, P.-H, Ohta, Y. and co-authors. 2011. The influence of dropsondes on typhoon track and mid-latitude forecasts. Mon. Wea. Rev. 139, 908920.
  81. Weng Y. Zhang M. Zhang F. Advanced data assimilation for cloud-resolving hurricane initialization and prediction. Computing in Science and Engineering. 2011; 13: 4049.
  82. Whitaker J. S. Hamill T. M. Ensemble data assimilation without perturbed observations. Mon. Wea. Rev. 2002; 103: 19131924.
  83. Whitaker J. S. Hamill T. M. Wei X. Song Y. Toth Z. Ensemble data assimilation with the NCEP Global Forecast System. Mon. Wea. Rev. 2008; 136: 463482.
  84. Wu, C.-C, Chen, J.-H, Majumdar, S. J, Peng, M. S, Reynolds, C. A. and co-authors. 2009. Inter-comparison of targeted observation guidance for tropical cyclones in the Northwestern Pacific. Mon. Wea. Rev. 137, 24712492.
  85. Wu, C.-C, Chou, K.-H, Lin, P.-H, Aberson, S. D, Peng, M. S. and co-authors. 2007. The impact of dropwindsonde data on typhoon track forecasts in DOTSTAR. Wea. Forecast. 22, 11571176.
  86. Wu C.-C. Chou K.-H. Wang Y. Kuo Y.-H. Tropical cyclone initialization and prediction based on four-dimensional variational data assimilation. J. Atmos. Sci. 2006; 63: 23832395.
  87. Wu C.-C. Lien G.-Y. Chen J.-H. Zhang F. Assimilation of tropical cyclone track and structure based on the ensemble Kalman filter (EnKF). J. Atmos. Sci. 2010; 67: 38063822.
  88. Wu, C.-C, Lin, P.-H, Aberson, S, Yeh, T.-C, Huang, W.-P. and co-authors. 2005. Dropwindsonde Observations for Typhoon Surveillance near the Taiwan Region (DOTSTAR): an overview. Bull. Am. Meteorol. Soc. 86, 787790.
  89. Xiao Q. Chen L. Zhang X. Evaluations of BDA scheme using the advanced research WRF (ARW) model. J. Appl. Meteorol. Climatol. 2008; 48: 680689.
  90. Xiao Q. Kuo Y.-H. Zhang Y. Barker D. M. Won D.-J. 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. 2006; 84: 671689.
  91. Xiao Q. Zou X. Wang B. Initialization and simulation of a landfalling hurricane using a variational bogus data assimilation scheme. Mon. Wea. Rev. 2000; 129: 22522269.
  92. Xue M. Martin W. J. 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. 2006; 134: 149171.
  93. Yamaguchi M. Iriguchi T. Nakazawa T. Wu C.-C. An observing system experiment for Typhoon Conson (2004) using a singular vector method and DOTSTAR data. Mon. Wea. Rev. 2009; 137: 28012816.
  94. Zhang F. Dynamics and structure of mesoscale error covariance of a winter cyclone estimated through short-range ensemble forecasts. Mon. Wea. Rev. 2005; 133: 28762893.
  95. Zhang F. Meng Z. Aksoy A. Test of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part I: perfect model experiments. Mon. Wea. Rev. 2006; 134: 722736.
  96. Zhang F. Snyder C. Sun J. Impacts of initial estimate and observation availability on convective-scale data assimilation with an ensemble Kalman filter. Mon. Wea. Rev. 2004; 132: 12381253.
  97. Zhang F. Weng Y. Sippel J. A. Meng Z. Bishop C. H. Cloud-resolving hurricane initialization and prediction through assimilation of Doppler radar observations with an ensemble Kalman filter. Mon. Wea. Rev. 2009; 137: 21052125.
  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, J79J82.
  99. Zou X. Xiao Q. Studies on the initialization and simulation of a mature hurricane using a variational bogus data assimilation scheme. J. Atmos. Sci. 2000; 57: 836860.
Language: English
Page range: 14984 - 14984
Submitted on: Jun 13, 2011
Published on: Dec 1, 2012
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services

© 2012 Byoung-Joo Jung, Hyun Mee Kim, Fuqing Zhang, Chun-Chieh Wu, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.