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THE USE OF SHEAR GRADIENT VORTICITY IN TROPICAL CYCLONE HEAVY PRECIPITATION PREDICTION: A HIGH-RESOLUTION NUMERICAL CASE STUDY

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  • This study introduces a new dynamical quantity, shear gradient vorticity (SGV), which is defined as vertical wind shear multiplying the horizontal component of vorticity gradient, aiming to diagnose heavy precipitation induced by some strong convective weather systems. The vorticity gradient component can be used to study the collision or merging process between different vortexes or the deformation of a vortex with a sharp vorticity gradient. Vertical wind shear, another contributed component of SGV, always represents the environmental dynamical factor in meteorology. By the combined effect of the two components, overall, SGV can represent the interaction between the environmental wind shear and the evolution of vortexes with a large vorticity gradient. Other traditional vorticity-like dynamical quantities (such as helicity) have the limitation in the diagnosis of the convection, since they do not consider the vorticity gradient. From this perspective, SGV has the potential to diagnose some strong convective weather processes, such as Extratropical Transition (ET) of tropical cyclones and the evolution of multicell storms. The forecast performance of SGV for the numerical ET case of Typhoon Toraji (0108) has been evaluated. Compared with helicity, SGV has shown a greater advantage to forecast the distribution of heavy precipitation more accurately, especially in the frontal zone.
  • [1] JONES S C, HARR P A, ABRAHAM Jim, et al. The extratropical transition of tropical cyclones: forecast challenges, current understanding,and future directions [J]. Wea. Forecast., 2003: 18(6): 1052-1092.
    [2] ZHU Pei-jun, CHEN Min, TAO Zu-yu, et al. Numerical study of landfallTyphoon Winnie (1997) after landfall Part II: Structure evolution analysis[J]. Acta Meteor. Sinica, 2002, 60(5): 560-567 (in Chinese).
    [3] ATALLAH E H, BOSART L F. The extratropical transition andprecipitation distribution of Hurricane Floyd (1999) [J]. Mon. Wea. Rev.,2003, 131(6): 1063-1081.
    [4] DiMEGO G J, BOSART L F. The transformation of Tropical StormAgnes into an extratropical cyclone. Part I: The observed fields and verticalmotion computations [J]. Mon. Wea. Rev., 1982, 110(5): 385-411.
    [5] CHEN Hua, PAN Wei-yu. Targeting studies for the extratropicaltransition of hurricane Fabian: Signal propagation, the interaction betweenFabian and midlatitude flow, and an observation strategy [J]. Mon. Wea.Rev., 2010, 38(8), 3224-3242.
    [6] KLEIN W H. An objective method of predicting quantitativeprecipitation in the Tennessee and Cumberland Valleys [C]// Proc. of theFirst Statistical Meteorological Conf., Hartford: Amer. Meteor. Soc., 1968:20-28.
    [7] BERMOWITZ R J. An application of model output statistics toforecasting quantitative precipitation [J]. Mon. Wea. Rev., 1975, 103(2):149-153.
    [8] OLSON D A, JUNKER N W, KORTY B. Evaluation of 33 years ofquantitative precipitation forecasting at the NMC [J]. Wea. Forecast., 1995,10(3): 498-511.
    [9] DOSWELL C A, BROOKS H E, MADDOX R A. Flash floodforecasting: An ingredients-based methodology [J]. Wea. Forecast., 1996,11(4): 560-581.
    [10] REGGIANI P, WEERTS A H. Probabilistic quantitative precipitationforecast for flood prediction: An application [L]. J. Hydrometeor., 2008:9(1): 76-95.
    [11] DOSWELL C A, RAMIS C, ROMERO R, et al. A diagnostic study ofthree heavy precipitation episodes in the western Mediterranean region [J].Wea. Forecast., 1998: 13(1): 102-124.
    [12] SCHULTZ D M, STEENBURGH W J. The formation of aforward-tilting cold front with multiple cloud bands during superstorm 1993[J]. Mon. Wea. Rev., 1999, 127(6): 1108-1124.
    [13] EMANUEL K A. Frontal circulations in the presence of small moistsymmetric stability [J]. J. Atmos. Sci. 1985, 42(17): 1062-1071.
    [14] THORPE A J, EMANUEL K A. Frontogenesis in the presence of smallstability to slantwise convection [J]. J. Atmos. Sci., 1982, 42(17):1809-1824.
    [15] SCHADE L R, EMANUEL K A. The ocean’s effect on the intensity oftropical cyclones: Results from a simple coupled atmosphere-ocean model[J]. J. Atmos. Sci., 1999, 56(4): 642-651.
    [16] HARR P A, ELSBERRY R L. Extratropical transition of tropicalcyclones over the western North Pacific. Part I: Evolution of structuralcharacteristics during the transition process [J]. Mon. Wea. Rev., 2000,128(8): 2613-2633.
    [17] MATANO H, SEKIOKA M. On the synoptic structure of TyphoonCora, 1969, as the compound system of tropical and extratropical cyclones[J]. J. Meteor. Soc. Japan, 1971, 49(4): 282-295.
    [18] BRAND S, GUARD C P. An observational study of extratropicalstorms evolved from tropical cyclones in the western North Pacific [J]. J.Meteor. Soc. Japan, 1979, 57(3): 479-483.
    [19] MURAMATSU T. A study on the changes of the three-dimensionalstructure and movement speed of the typhoon through its life time [R].Meteor. Res. Inst. Tech. Rep. 14, Japan Meteor. Agency, 1985: 117.
    [20] KITABATAKE N. Extratropical transformation of Typhoon Vicki(9807): Structural changes and the role of upper-tropospheric disturbances[J]. J. Meteor. Soc. Japan, 2002, 80(2): 229-247.
    [21] KITABATAKE N. Extratropical transition of tropical cyclones in thewestern north Pacific: Their frontal evolution [J]. Mon. Wea. Rev., 2008,136(6): 2066-2090.
    [22] ERTEL H. Ein neuer hydrodynamischer Wirbelsatz [J]. Meteor. Z.,1942, 59(1): 277-281.
    [23] HOKSINS B J, MCINTURE M E, ROBERTSON A W. On the use andsignificance of isentropic potential vorticity maps [J]. Quart. J. Roy. Meteor.Soc., 1985, 111(470), 877-946.
    [24] LEITH C E. Diffusion approximation for two-dimensional turbulence[J]. Phys. Fluids, 1968, 11(11): 671-673.
    [25] MOFFAT. On the knottedness of tangled vortex lines [J]. J. Fluid.Mech., 1969, 35(1): 117-128.
    [26] MOFFAT. Magnetic Field Generation in Electrically ConductingFluids [M]. Combridge: University Press. 1978: 122.
    [27] KRAUSE F, STEENBECK M. Some simple models of magnetic fieldregeneration by non-mirror symmetric turbulence [J]. Z. Naturforscs., 1967,L22a, 671-675.
    [28] GAO S, PING F, LI X, et al. A convective vorticity vector associatedwith tropical convection: A two-dimensional cloud-resolving modelingstudy [J]. J. Geophys. Res., 2004, 109, D14106.
    [29] ELTING. Some aspect of helicity in atmospheric flow [J]. Beitr. Phys.Atmos., 1985, 58(3): 88-100.
    [30] LILLY D K. The structure, energetics and propagation of rotatingconvective storms. Part II: Helicity and storm stabilization [J]. J. Atmos.Sci., 1986, 43(2): 126-140.
    [31] DAVIES-JONES R. Streamwise vorticity: The origin of updraftrotation in supercell storms [J]. J. Atmos. Sci., 1984, 41(20): 2991-3006.
    [32] KLEMP J B. Describes the dynamics of tornadic thunderstorms [J].Ann. Rev. Fluid. Mech., 1987, 19(1): 369-402.
    [33] WURMAN J, WINSLOW J. Intense sub-kilometer-scale boundarylayer rolls observed in hurricane Frain [J]. Science, 1998, 280(1): 555-557.
    [34] ROZOFF C M, SCHUBERT W H, MCNOLDY B D, et al. Rapidfilamentation zones in intense tropical cyclones [J]. J. Atmos. Sci., 2006,63(1): 325-340.
    [35] DAVIES H C, ROSSA A. PV frontogenesis and upper-troposphericfronts [J]. Mon. Wea. Rev., 1998, 126(6): 1528-1539.
    [36] MEDINA S, SUKOVICH E, HOUZE R A Jr. Vertical structures ofprecipitation in cyclones crossing the Oregon cascades [J]. Mon. Wea. Rev.,2007, 135(10): 3565-3586.
    [37] WAKIMOTO R M, BLIER W, LIU C W. The frontal structure of anexplosive oceanic cyclone: Airborne radar observations of ERICA IOP 4 [J].Mon. Wea. Rev., 1992, 120(10): 1135-1155.
    [38] KIDA S. Numerical simulation of two-dimensional turbulence withhigh-symmetry [J]. J. Phys. Soc. Japan., 1985, 54(1): 2840-2854.
    [39] McWILLIAMS J C. The emergence of isolated, coherent vortices inturbulent flow [J]. J. Fluid Mech., 1984, 146(1): 21-43.
    [40] WEISS J. The dynamics of enstrophy transfer in two dimensionalhydrodynamics [J]. Phys. D., 1991, 48(2-3): 273-294.
    [41] ROTUNNO R, KLEMP J B. The influence of the shear-inducedpressure gradient on thunderstorm motion [J]. Mon. Wea. Rev., 1982,110(2): 136-151.
    [42] GAO Liu-xi, CONG Chun-hua, LI Ben-liang. Application ofageostrophic wet q-vector in torrential rainfall of typhoon “Toraji” inShandong province [J]. J. Trop. Meteor., 2008, 24(5): 533-538 (in Chinese).
    [43] SKAMAROCK W C, KLEMP J B, DUDHIA J, et al. A description ofthe advanced research WRF version 2 [R]. NCAR/TN-468+STR, NACRTechnical Note, 2005: 100pp.

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TANG Jie, YUAN Hui-ling, WANG Yuan, et al. THE USE OF SHEAR GRADIENT VORTICITY IN TROPICAL CYCLONE HEAVY PRECIPITATION PREDICTION: A HIGH-RESOLUTION NUMERICAL CASE STUDY [J]. Journal of Tropical Meteorology, 2012, 18(4): 403-411.
TANG Jie, YUAN Hui-ling, WANG Yuan, et al. THE USE OF SHEAR GRADIENT VORTICITY IN TROPICAL CYCLONE HEAVY PRECIPITATION PREDICTION: A HIGH-RESOLUTION NUMERICAL CASE STUDY [J]. Journal of Tropical Meteorology, 2012, 18(4): 403-411.
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Manuscript received: 30 September 2011
Manuscript revised: 28 July 2012
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THE USE OF SHEAR GRADIENT VORTICITY IN TROPICAL CYCLONE HEAVY PRECIPITATION PREDICTION: A HIGH-RESOLUTION NUMERICAL CASE STUDY

Abstract: This study introduces a new dynamical quantity, shear gradient vorticity (SGV), which is defined as vertical wind shear multiplying the horizontal component of vorticity gradient, aiming to diagnose heavy precipitation induced by some strong convective weather systems. The vorticity gradient component can be used to study the collision or merging process between different vortexes or the deformation of a vortex with a sharp vorticity gradient. Vertical wind shear, another contributed component of SGV, always represents the environmental dynamical factor in meteorology. By the combined effect of the two components, overall, SGV can represent the interaction between the environmental wind shear and the evolution of vortexes with a large vorticity gradient. Other traditional vorticity-like dynamical quantities (such as helicity) have the limitation in the diagnosis of the convection, since they do not consider the vorticity gradient. From this perspective, SGV has the potential to diagnose some strong convective weather processes, such as Extratropical Transition (ET) of tropical cyclones and the evolution of multicell storms. The forecast performance of SGV for the numerical ET case of Typhoon Toraji (0108) has been evaluated. Compared with helicity, SGV has shown a greater advantage to forecast the distribution of heavy precipitation more accurately, especially in the frontal zone.

TANG Jie, YUAN Hui-ling, WANG Yuan, et al. THE USE OF SHEAR GRADIENT VORTICITY IN TROPICAL CYCLONE HEAVY PRECIPITATION PREDICTION: A HIGH-RESOLUTION NUMERICAL CASE STUDY [J]. Journal of Tropical Meteorology, 2012, 18(4): 403-411.
Citation: TANG Jie, YUAN Hui-ling, WANG Yuan, et al. THE USE OF SHEAR GRADIENT VORTICITY IN TROPICAL CYCLONE HEAVY PRECIPITATION PREDICTION: A HIGH-RESOLUTION NUMERICAL CASE STUDY [J]. Journal of Tropical Meteorology, 2012, 18(4): 403-411.
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