Tropical cyclone initialization with a spherical high-order filter and an idealized three-dimensional bogus vortex

Monthly Weather Review

Volumn 138, Issue 4, 2010, Pages 1344-1367

  Kwon, In Hyuk ^a   Cheong, Hyeong Bin ^a  

^a Pukyong National University   (South Korea)

Author keywords

Data assimilation; Tropical cyclones

Indexed keywords

ABRUPT CHANGE; AXISYMMETRIC VORTEX; DATA ASSIMILATION; DISTURBANCE FIELD; EAST CHINA SEA; EMPIRICAL FORMULAS; EMPIRICAL FUNCTIONS; GEOPOTENTIALS; HIGH ORDER FILTERS; HYDROSTATIC BALANCE; INITIALIZATION METHODS; INTENSITY PREDICTION; LAYER FLOW; MASS BALANCE; MATCHING PRINCIPLE; PRESSURE LEVEL; SECONDARY CIRCULATION; SIMULATED STRUCTURE; STREAMFUNCTIONS; SURFACE PRESSURES; TANGENTIAL WIND; TIME INTEGRATION; TROPICAL CYCLONE; TWO PARAMETER; WEATHER RESEARCH AND FORECASTING MODELS; WESTERN NORTH PACIFIC;

DATA HANDLING; FOURIER ANALYSIS; FOURIER SERIES; HARMONIC ANALYSIS; OCEANOGRAPHY; STORMS; THREE DIMENSIONAL; TROPICS; VORTEX FLOW; WEATHER FORECASTING;

HURRICANES;

AIR TEMPERATURE; ATMOSPHERIC CIRCULATION; CLIMATE PREDICTION; GEOPOTENTIAL; MASS BALANCE; PRECIPITATION INTENSITY; STORM TRACK; TROPICAL CYCLONE; VORTEX FLOW; WEATHER FORECASTING; WIND;

PACIFIC OCEAN; PACIFIC OCEAN (NORTH);

EID: 77955546851     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/2009MWR2943.1     Document Type: Article

References (41)

1. Anthes, R. A., 1982: Tropical Cyclones: Their Evolution, Structure, and Effects. Amer. Meteor. Soc., 208 pp.
2. Ausman, M., 1959: Some computations of the inflow angle in hurricanes near the ocean surface. Research Rep., Department of Meteorology, University of Chicago, 19 pp.
3. Bender, M. A., I. Ginis, R. Tuleya, B. Thomas, and T. Marchok, 2007: The operational GFDL coupled hurricane-ocean prediction system and a summary of its performance. Mon. Wea. Rev., 135, 3965-3989.
4. Braun, S. A., M. T. Montgomery, and Z. Pu, 2006: High-resolution simulation of Hurricane Bonnie (1998). Part I: The organization of eyewall vertical motion. J. Atmos. Sci., 63, 19-42.
5. Carr, L. E., III, and R. L. Elsberry, 1992: Analytical tropical cyclone asymmetric circulation for barotropic model initial conditions. Mon. Wea. Rev., 120, 644-652.
6. Chan, J. C.-L., and R. T. Williams, 1987: Analytical and numerical study of the beta-effect in tropical cyclone motion. Part I: Zero mean flow. J. Atmos. Sci., 44, 1257-1265.
7. Cheong, H.-B., I.-H. Kwon, T.-Y. Goo, and M.-J. Lee, 2002: High-order harmonic spectral filter with the double Fourier series on a sphere. J. Comput. Phys., 177, 313-335.
8. Cheong, H.-B., I.-H. Kwon, T.-Y. Goo, and M.-J. Lee, 2004: Further study on the high-order double Fourier series spectral filtering on a sphere. J. Comput. Phys., 193, 180-197.
9. Chou, K.-H., and C.-C. Wu, 2008: Typhoon initialization in a mesoscale model-Combination of the bogused vortex and the dropwindsonde data in DOTSTAR. Mon. Wea. Rev., 136, 865-879.
10. Frank, W. M., 1977: The structure and energetics of the tropical cyclone. Part I: Storm structure. Mon. Wea. Rev., 105, 1119-1135.
11. Fujita, T., 1952: Pressure distribution within typhoon. Geophys. Mag., 23, 437-451.
12. Gray, W. M., 1979: Hurricanes: Their formation, structure, and likely role in the tropical circulation. Meteorology over the Tropical Oceans, D. B. Shaw, Ed., Royal Meteorology Society, 155-218.
13. Grijn, G. V. D., J.E. Paulsen, F. Lalaurette, and M. Leutbecher, 2005: Early medium-range forecasts of tropical cyclones. ECMWF Newsletter, No. 102, ECMWF, Reading, United Kingdom, 7-14.
14. Harper, B.A., and G. J. Holland, 1999: An updated parametric model of the tropical cyclone. Preprints, 23rd Conf. on Hurricane and Tropical Meteorology, Dallas, TX, Amer. Meteor. Soc., 893-896.
15. Holland, G. J., 1980: An analytic model of the wind and pressure profiles in hurricanes. Mon. Wea. Rev., 108, 1212-1218.
16. Holland, G. J., 1983: Tropical cyclone motion: Environmental interaction plus a beta effect. J. Atmos. Sci., 40, 328-342.
17. Holland, G. J., and R. T. Merrill, 1984: On the dynamics of tropical cyclone structural changes. Quart. J. Roy. Meteor. Soc., 110, 723-745.
18. Hong, S.-Y., and J.-O. J. Lim, 2006: The WRF single-moment 6-class microphysics scheme (WSM6). J. Korean Meteor. Soc., 42, 129-151.
19. Hong, S.-Y., Y. Noh, and J. Dudhia, 2006: A new vertical diffusion package with an explicit treatment of entrainment processes. Mon. Wea. Rev., 134, 2318-2341.
20. Iwasaki, T., H. Nakano, and M. Sugi, 1987: The performance of a typhoon track prediction model with convective parameterization. J. Meteor. Soc. Japan, 65, 555-570.
21. Kain, J. S., and J. M. Fritsch, 1990: A one-dimensional entraining/detraining plume model and its application in convective parameterization. J. Atmos. Sci., 47, 2784-2802.
22. Kang, M.-K., and H.-B. Cheong, 2001: Oscillation of separation distance between paired typhoon-scale vortices. J. Meteor. Soc. Japan, 79, 967-983.
23. 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.
24. Kurihara, Y., M. A. Bender, R. E. Tuleya, and R. J. Ross, 1995: Improvements in the GFDL hurricane prediction system. Mon. Wea. Rev., 123, 2791-2801.
25. Kwon, H.-J., 2002: Development of medium-range ensemble forecast technique in typhoon model (in Korean, with the summary in English). Improvement of Medium-Range Forecast System, H.-B. Cheong, Ed., Korea Meteorological Administration, 149-234.
26. 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.
27. Liu, Y., D.-L. Zhang, and M. K. Yau, 1999: A multiscale numerical study of Hurricane Andrew (1992). Part II: Kinematics and inner-core structures. Mon. Wea. Rev., 127, 2597-2616.
28. Mathur, M. B., 1991: The National Meteorological Center's quasi-Lagrangian model for hurricane prediction. Mon. Wea. Rev., 119, 1419-1447.
29. Peng, M., L. Xie, and L. J. Pietrafesa, 2006: Tropical cyclone induced asymmetry of sea level surge and fall and its presentation in a storm surge model with parametric wind fields. Ocean Modell., 14, 81-101.
30. Phadke, A. C., C. D. Martino, K. F. Cheung, and S. H. Houston, 2003: Modeling of tropical cyclone winds and waves for emergency management. Ocean Eng., 30, 553-578.
31. Press, W. H., S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, 1992: Numerical Recipes in FORTRAN. 2nd ed. Cambridge University Press, 963 pp.
32. Pu, Z. X., and S. A. Braun, 2001: Evaluation of bogus vortex techniques with four-dimensional variational data assimilation. Mon. Wea. Rev., 129, 2023-2039.
33. Richardson, D. S., and Coauthors, 2008: Verification statistics and evaluation of ECMWF forecasts in 2007-2008. ECMWF Tech. Memo. 578, 45 pp.
34. Serrano, E., and P. Undén, 1994: Evaluation of a tropical cyclone bogusing method in data assimilation and forecasting. Mon. Wea. Rev., 122, 1523-1547.
35. Smith, R. B., 1993: A hurricane beta-drift law. J. Atmos. Sci., 50, 3213-3215.
36. Thu, T. V., and T. N. Krishnamurti, 1992: Vortex initialization for typhoon track prediction. Meteor. Atmos. Phys., 47, 117-126.
37. Tremolet, Y., 2005: Incremental 4D-Var convergence study. ECMWF Tech. Memo. 469, 36 pp.
38. Wang, D., X. Liang, Y. Zhao, and B. Wang, 2008: A comparison of two tropical cyclone bogussing schemes. Wea. Forecasting, 23, 194-204.
39. Williams, R. T., and J. C.-L. Chan, 1994: Numerical studies of the beta effect in tropical cyclone motion. Part II: Zonal mean flow effects. J. Atmos. Sci., 51, 1065-1076.
40. Zhang, X., Q. Xiao, and P. J. Fitzpatrick, 2007: The impact of multisatellite data on the initialization and simulation of Hurricane Lili's (2002) rapid weakening phase. Mon. Wea. Rev., 135, 526-548.
41. 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.