Abstract
The mesoscale weather system which affected the Guangxi flash-flood-producing rainstorm of China in June 2008 is a quasi-stationary mesoscale vortex. Its genesis and development is closely related to the coupling effects of weather systems in different scales and different latitudes. On the one hand, the coupling of synoptic scale high- and low-level jets provides the environmental conditions for development of vortices and vertical circulations in the mesoscale vortex; On the other hand, the coupling of waves in mid-latitude westerlies and perturbations in low-latitude warm-moist flow under the influence of complex terrain makes the mesoscale vortex circulations strengthened. With the piecewise potential vorticity (PV) inversion method, PV anomalies in different regions are analyzed; also the vortex-vortex interactions and vortex-background flow interactions are diagnosed. Thus, the reasons why the mesoscale is quasi-stationary at first, while developing and deepening later are indicated. Under the condition of coupling effects, the vertical motions accompanied with the mesoscale vortex can be diagnosed with the PV-ω inversion system based on the analysis of quasi-balanced flow.
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References
Boyle, J. S., and L. F. Bosart, 1986: Cyclone-anticyclone couplets over North America. Part II: Analysis of a major cyclone event over the eastern United States. Mon. Wea. Rev., 114, 2432–2465.
Braun, S. A., and W. K. Tao, 2000: Sensitivity of high-resolution simulation of Hurricane Bob (1991) to planetary boundary layer parameterizations. Mon. Wea. Rev., 128, 3941–3961.
Bresky, W. C., and S. J. Colucci, 1996: A forecast and analyzed cyclogenesis event diagnosed with potential vorticity. Mon. Wea. Rev., 124, 2227–2244.
Charney, J. G., 1955: The use of primitive equations of motion in numerical prediction. Tellus, 7, 22–26.
Chen, G. T. J., C. C. Wang, and S. C. C. Liu, 2003: Potential vorticity diagnostics of a Mei-Yu front case. Mon. Wea. Rev., 131, 2680–2696.
Cheng, Y., and H. Lu, 2006a: The evolution and circulation feature of convective-symmetric instability. J. Trop. Meteorol., 22, 47–52. (in Chinese with English abstract)
____, and _____, 2006b: The interaction between forced and instable convection. Chinese J. Atmos. Sci., 30, 609–618. (in Chinese with English abstract)
Davis, C. A., and K. A. Emanuel, 1991: Potential vorticity diagnostics of cyclogenesis. Mon. Wea. Rev., 119, 1929–1953.
Gao, S., and F. Zhou, 2006: Mesoscale balanced equation and diagnostic method of unbalanced flow based on helicity. Sci. Atmos. Sin., 30, 854–862 (in Chinese with English abstract)
____, X. Cui, Y. Zhou, and X. Li, 2005a: Surface rainfall process as simulated in a cloud-resolving model. J. Geophys. Res., 110, D10202, doi: 10.1029/2004JD005467.
____, _____, _____, and W. Tao, 2005b: A modeling study of moist and dynamic vorticity vectors associated with two-dimensional tropical convection. J. Geophys. Res., 110, D17104, doi: 10.1029/2004JD5675.
Ge, J., W. Zhong, and H. Lu, 2010: Diagnostic analysis of vorticitydivergence influence and quasi-balanced flow of mesoscale vortex in the process of flash-flood-producing rainstorm. Acta Meteorol. Sin., 25, in press.
Hakim, G. J., D. Keyser, and L. F. Bosart, 1996: The Ohio Valley wave-merger cyclogenesis event of 25–26 January 1978. Part II: Diagnosis using quasigeostrophic potential vorticity inversion. Mon. Wea. Rev., 124, 2176–2205.
Huo, Z., D. L. Zhang, and J. R. Gyakum, 1999: Interaction of Potential Vorticity Anomalies in Extratropical Cyclogenesis. Part I: Static Piecewise Inversion. Mon. Wea. Rev., 124, 2546–2561.
Kou, Z., and H. Lu, 2005: The nonlinear convective-symmetric instability during the development of mesoscale convective systems. Chinese J. Atmos. Sci., 29, 636–644. (in Chinese with English abstract)
Kuo, Y. H., L. Chen, and J. W. Bao, 1988: Numerical simulation of the 1981 Sichuan flood. Part 1: Evolution of a mesoscale southwest vortex. Mon. Wea. Rev., 116, 2481–2504.
Lee, D. K., and S. Y. Hong, 1989: Numerical experiment of the heavy rainfall event occurred over Korea during 1–3 September 1984. J. Korean Meteor. Soc., 25, 233–260.
____, J. G. Jhun, S. Y. Hong and H. R. Kim, 1993: Numerical simulation of a heavy rainfall case occurred over central Korea during 10–12 September 1990. J. Korean Meteor. Soc., 29, 147–169. (in Korean with English abstract)
Liao, J., and Z. Tan, 2005: Numerical simulation of a heavy rainfall event along the mei-yu front: Influences of different scale weather systems. Atca Meteorol. Sin, 63, 771–788. (in Chinese with English abstract)
Lu, H., Z. Kou, J. Fei, X. Song, and K. Zhong, 2004: Some problems of unbalanced dynamics in the development of the mesoscale convective system. Sci. Meteor. Sin., 24, 120–126. (in Chinese with English abstract)
Raymond, D. J., 1992: Nonlinear balance and potential vorticity thinking at large Rossby number. Quart. J. Roy. Meteor. Soc., 118, 987–1015.
Shim, J. K., and S. Y. Hong, 2006: A study on the sensitivity of the simulation of typhoon Saomai (2000) to the cumulus parameterization and planetary boundary layer schemes in MM5. J. Korean Meteor. Soc., 42, 75–85.
Sun, J., and T. Y. Lee, 2002: A numerical study of an intense quasi-stationary convection band over the Korean peninsula. J. Meteor. Soc. Japan, 80, 1221–1245.
____, P. Zhao, and X. Zhou, 2002: The mesoscale structure of a South China rainstorm and the influence of complex topography. Acta Meteorol. Sin., 60, 332–342. (in Chinese with English abstract)
Uccellini, L. W., R. A. Petersen, K. F. Brill, P. Kocin, and J. J. Tuccillo, 1987: Synergistic interactions between an upper-level jet streak and diabatic processes that influence the development of a lowlevel jet and a secondary coastal cyclone. Mon. Wea. Rev., 115, 2227–2261.
____, P. J. Kocin, R. S. Schneider, P. M. Stokles, and R. A. Dorr, 1995: Forecasting the superstorm of 12–14 March 1993. Bull. Amer. Meteor. Soc., 76, 183–199.
Wang, X. B., and D. L. Zhang, 2003: Potential vorticity diagnosis of a simulated Hurricane. Part I: Formulation and quasi-balanced flow. J. Atmos. Sci., 60, 1593–1607.
Wu, C. C., and K. A. Emanuel, 1995a: Potential vorticity diagnostics of hurricane movement. Part I: A case study of Hurricane Bob (1991). Mon. Wea. Rev., 123, 69–92.
____, and _____, 1995b: Potential vorticity diagnostics of hurricane movement. Part II: Tropical storm Ana (1991) and Hurricane Andrew (1992). Mon. Wea. Rev., 123, 93–109.
Zhang, D. L., and Q. K. Chanh, 2006: Potential vorticity diagnosis of a simulated hurricane. Part II: Quasi-balanced contribution to forced secondary. J. Atmos. Sci., 63, 2898–2914.
Zhao, B., G. Wu, and X. Yao, 2004: Potential vorticity structure and inversion of the cyclogenesis over the Yangtze River and Huaihe River Valleys. Adv. Atmos. Sci., 24, 44–54.
Zhao, Y., Z. Li, Z. Xiao, Y. Chen, 2007: A PV inversion diagnostic study on a quasi-stationary Meiyu front with successive rainstorms. Acta Meteorol. Sin., 65, 353–371. (in Chinese with English abstract)
Zhong, W., H. Lu, and D. L. Zhang, 2008: The diagnoses of quasibalanced flows in asymmetric intense hurricane. Chinese J. Geophys., 51, 657–667.
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Ge, J., Lu, H. & Zhong, W. Coupling effect diagnoses of quasi-stationary mesoscale vortex in Guangxi rainstorm process of China. Asia-Pacific J Atmos Sci 47, 17–32 (2011). https://doi.org/10.1007/s13143-011-1002-y
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DOI: https://doi.org/10.1007/s13143-011-1002-y