Advertisement

Advances in Atmospheric Sciences

, Volume 22, Issue 2, pp 278–289 | Cite as

An analysis of a meso-β system in a mei-yu front using the intensive observation data during CHeRES 2002

  • Sun Jianhua
  • Zhang Xiaoling
  • Qi Linlin
  • Zhao Sixiong
Article

Abstract

The conventional and intensive observational data of the China Heavy Rain Experiment and Study (CHeRES) are used to specially analyze the heavy rainfall process in the mei-yu front that occurred during 20–21 June 2002, focusing on the meso-β system. A mesoscale convective system (MCS) formed in the warm-moist southwesterly to the south of the shear line over the Dabie Mountains and over the gorge between the Dabie and Jiuhua Mountains. The mei-yu front and shear line provide a favorable synoptic condition for the development of convection. The GPS observation indicates that the precipitable water increased obviously about 2–3 h earlier than the occurrence of rainfall and decreased after that. The abundant moisture transportation by southwesterly wind was favorable to the maintenance of convective instability and the accumulation of convective available potential energy (CAPE). Radar detection reveals that meso-β and-γ systems were very active in the MαCS. Several convection lines developed during the evolution of the MαCS, and these are associated with surface convergence lines. The boundary outflow of the convection line may have triggered another convection line. The convection line moved with the mesoscale surface convergence line, but the convective cells embedded in the convergence line propagated along the line. On the basis of the analyses of the intensive observation data, a multi-scale conceptual model of heavy rainfall in the mei-yu front for this particular case is proposed.

Key words

mei-yu front heavy rainfall mesoscale convergence line conceptual model Doppler radar 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bei Naifang, Zhao Sixiong, and Gao Shouting, 2002: Numerical simulation of a heavy rainfall event in China during July 1998.Meteorology and Atmosppheric Physics,80, 153–164.CrossRefGoogle Scholar
  2. Bei Naifang, and Zhao Sixiong, 2002: Mesoscale analysis of severe local heavy rainfall during the second stage of the 1998 mei-yu season.Chinese J. Atmos. Sci.,26(4), 526–540. (in Chinese)Google Scholar
  3. Bluestein, H. B., and M. H. Jain, 1985: Formation of mesoscale lines of precipitation: Severe squall lines in Oklahoma during the spring.J. Atmos. Sci.,42, 1711–1733.CrossRefGoogle Scholar
  4. Cheng Linsheng, and Feng Wuhu, 2001: Analyses and numerical simulation on an abrupt heavy rainfall and structure of a mesoscale vortex during July 1998.Chinese J. Atmos. Sci.,25(4), 465–478. (in Chinese)Google Scholar
  5. Ding Yihui, 1993:Study on the Lasting Heavy Rainfalls over the Yangtze-Huaihe River Basin in 1991. China Meteorological Press, Beijing, 255pp. (in Chinese)Google Scholar
  6. Kuo, Y.-H., and G. T.-J. Chen, 1990: The Taiwan area mesoscale experiment.Bull. Amer. Meteor. Soc.,71(4), 488–503.CrossRefGoogle Scholar
  7. Liang, A. G., and J. M. Fritsch, 2000: The large-scale environments of the global populations of mesoscale convective complexes.Mon. Wea. Rev.,128, 2756–2776.CrossRefGoogle Scholar
  8. Maddox, R. A., 1980: Mesoscale convective complexes.Bull. Ameri. Meteor. Soc.,61, 1374–1387.CrossRefGoogle Scholar
  9. Ni Yunqi, 2001: Experiment on heavy rainfall in meiyu front in the downstream of Yangtze River.The First China-Japan Workshop on Heavy Rainfall Experiment and Study. Sponsored by the National Key Basic Research Project ’China, Heavy Rainfall Experiment and Study ’China, and the Frontier Observational Research System for Global Change, Japan, Haikou, China, 1–3.Google Scholar
  10. Shi Dingpu, Zhu Wenqin, Wang Hongqing, and Tao Zuyu, 1996: Cloud top blackbody temperature analysis of infrared satellite image for mesoscale convective system.Acta Meteorologica Sinica,54(5), 600–611. (in Chinese)Google Scholar
  11. Tao Shiyan, 1980:Heavy Rainfalls in China. Science Press, Beijing, 225pp. (in Chinese)Google Scholar
  12. Tao Shiyan, Ni Yunqi, Zhao Sixiong, Chen Shoujun and Wang Jianjie, 2001:The study on formation mechanisms and forecasting of heavy rainfall in the summer 1998. China Meteorological Press, Beijing, 184pp. (in Chinese).Google Scholar
  13. Xu Yamei, and Gao Kun, 2002: Simulation and analysis of Meso-β vortex over middle reaches of the Yangtze River on 22 July 1998.Acta Meteorologica Sinica,60(1), 85–95. (in Chinese)Google Scholar
  14. Yoshizaki, M., T. Kato, C. Muroi, H. Eito, S. Hayashi and CREST observation group, 2002: Recent activities of field observations on mesoscale convective systems (MCSs) over East China Sea and Kyushu in the Baiu season and over the Japan Sea in winter.International Conference on Mesoscale Convective Systems and Heavy Rainfall/Snowfall in East Asia, Sponsored by Japan Science and Technology Corporation, Chinese Academy of Meteorological Sciences, Tokyo, Japan, 80–85.Google Scholar
  15. Zhang Feng, and Zhao Sixiong, 2004: A study of formation and development of one kind of cyclone on the mei-yu (Baiu) front.Adv. Atmos. Sci.,21(2), 741–754.CrossRefGoogle Scholar
  16. Zhang Xiaoling, Tao Shiyan and Zhang Qiyun, 2002: An analysis on development of meso-β convective system along mei-yu front associated with flood in WuHan in 20–21 July 1998.Quartly Journal of Applied Meteorology,13(4), 386–397. (in Chinese)Google Scholar
  17. Zhang Xiaoling, Tao Shiyan, and Zhang Shunli, 2004: Three types of heavy rainfalls in the Meiyu front.Chinese J. Atmos. Sci.,28(2), 187–205. (in Chinese)Google Scholar

Copyright information

© Advances in Atmospheric Sciences 2003

Authors and Affiliations

  • Sun Jianhua
    • 1
  • Zhang Xiaoling
    • 1
    • 2
  • Qi Linlin
    • 1
    • 3
  • Zhao Sixiong
    • 1
  1. 1.Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing
  2. 2.National Meteorological CenterChina Meteorological AdministrationBeijing
  3. 3.Chinese Academy of Meteorological SciencesBeijing

Personalised recommendations