[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ Skip to main content
Log in

Statistical characteristics of convective initiation in the Beijing-Tianjin region revealed by six-year radar data

  • Articles
  • Published:
Journal of Meteorological Research Aims and scope Submit manuscript

Abstract

Characteristics of convective initiation (CI) in the Beijing-Tianjin region during the warm season of 2008–2013 are examined. A total of 38877 CI cases are identified by a thunderstorm identification, tracking, analysis, and nowcasting algorithm. CI cases are evaluated in the context of associated terrain, weather systems, and land cover properties. The spatial distribution of all CI cases shows that there are dense CI activities around the 200-m elevation, which means that convective storms are more easily triggered over foothills. From 1500–1800 to 0300–0600 BT (Beijing Time), the high-occurrence CI region tends to propagate southeastward (i.e., from mountains to plains, then to ocean). Among the four local weather systems, the Mongolian cold vortex has the highest CI frequency while the after-trough system has the lowest CI frequency. For the land cover relationships with CI, the urban land cover has the highest CI density and the forest-type land cover has the second highest CI density; these two types of land cover are more conducive to CI formation.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (United Kingdom)

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Aoshima, F., A. Behrendt, H. S. Bauer, et al., 2008: Statistics of convection initiation by use of Meteosat rapid scan data during the convective and orographically-induced precipitation study (COPS). Meteorologische Zeitschrift, 17, 921–930.

    Article  Google Scholar 

  • Bornstein, R., and Q. L. Lin, 2000: Urban heat islands and summertime convective thunderstorms in Atlanta: Three case studies. Atmos. Environ., 34, 507–516.

    Article  Google Scholar 

  • Carbone, R. E., J. D. Tuttle, D. A. Ahijevych, et al., 2002: Inferences of predictability associated with warm season precipitation episodes. J. Atmos. Sci., 59, 2033–2056.

    Article  Google Scholar 

  • Chen Mingxuan, Wang Yingchun, Gao Feng, et al., 2012: Diurnal variations in convective storm activity over contiguous North China during the warm season based on radar mosaic climatology. J. Geophys. Res., 117, D20115, doi:.1029/2012JD018158.

    Google Scholar 

  • Dee, D. P., S. M. Uppala, A. J. Simmons, et al., 2011: The era-interim reanalysis: Configuration and performance of the data assimilation system. Quart. J. Roy. Meteor. Soc., 137, 553–597.

    Article  Google Scholar 

  • Ding Qinglan, Wang Ling, Chen Mingxuan, et al., 2007: Climate character analysis of convective weather during warm season (May to September) in Beijing. Meteor. Mon., 33, 37–44. (in Chinese)

    Google Scholar 

  • Dixon, M. J., 1994: Automated storm identification, tracking and forecasting: A radar-based method. Ph. D. Dissertation, Department of Civil, Environmental, and Architectural Engineering, University of Colorado, Boulder, USA, 181 pp.

    Google Scholar 

  • —, and G. Wiener, 1993: TITAN—thunderstorm identification, tracking, analysis and nowcasting—A radar based methodology. J. Atmos. Oceanic Technol., 10, 785–797.

    Article  Google Scholar 

  • Gambill, L. D., and J. R. Mecikalski, 2011: A satellitebased summer convective cloud frequency analysis over the southeastern United States. J. Appl. Meteor. Climatol., 50, 1756–1769.

    Article  Google Scholar 

  • Han Lei, Fu Shengxue, Zhao Lifeng, et al., 2009: 3D convective storm identification, tracking, and forecasting—An enhanced TITAN algorithm. J. Atmos. Oceanic Technol., 26, 719–732.

    Article  Google Scholar 

  • Hansen, M. C., R. S. Defries, J. R. G. Townshend, et al., 2000: Global land cover classification at 1-km spatial resolution using a classification tree approach. Int. J. Remote Sens., 21, 1331–1364.

    Article  Google Scholar 

  • Harper, W. G., and J. G. D. Beimers, 1958: The movement of precipitation belts as observed by radar. Quart. J. Roy. Meteor. Soc., 84, 242–249.

    Article  Google Scholar 

  • He Huizhong and Zhang Fuqing, 2010: Diurnal variations of warm-season precipitation over northern China. Mon. Wea. Rev., 138, 1017–1025.

    Article  Google Scholar 

  • Kessinger, C., S. Ellis, J. Vanandel, et al., 2003: The AP clutter mitigation scheme for the WSR-88D. Preprints, 31st Conference on Radar Meteorology, Seattle, WA, 2003, Amer. Meteor. Soc., 526–529.

    Google Scholar 

  • Liu Liping, Wu Linlin, and Yang Yinming, 2007: Development of fuzzy-logical tow-step ground clutter detection algorithm. Acta Meteor. Sinica, 65, 252–260. (in Chinese)

    Google Scholar 

  • Mecikalski, J. R., W. F. Feltz, J. J. Murray, et al., 2007: Aviation applications for satellite-based observations of cloud properties, convection initiation, in-flight icing, turbulence, and volcanic ash. Bull. Amer. Meteor. Soc., 88, 1589–1607.

    Article  Google Scholar 

  • Miao Shiguang, Chen Fei, Li Qingchun, et al., 2011: Impacts of urban processes and urbanization on summer precipitation: A case study of heavy rainfall in Beijing on 1 August 2006. J. Appl. Meteor. Climatol., 50, 806–825.

    Article  Google Scholar 

  • Roberts, R. D., and S. Rutledge, 2003: Nowcasting storm initiation and growth using GOES-8 and WSR-88D data. Wea. Forecasting, 18, 562–584.

    Article  Google Scholar 

  • Rotunno, R., and R. A. Houze, 2007: Lessons on orographic precipitation from the mesoscale alpine programme. Quart. J. Roy. Meteor. Soc., 133, 811–830.

    Article  Google Scholar 

  • Song Shi, Tang Jianping, and Chen Xing, 2011: Impacts of spectral nudging on the sensitivity of a regional climate model to convective parameterizations in East Asia. Acta Meteor. Sinica, 25, 63–77.

    Article  Google Scholar 

  • Sun Jianhua and Zhang Fuqing, 2012: Impacts of mountain-plains solenoid on diurnal variations of rainfalls along the Mei-yu front over the East China plains. Mon. Wea. Rev., 140, 379–397.

    Article  Google Scholar 

  • —, Zhao Sixiong, Fu Shenming, et al., 2013: Multi-scale characteristics of record heavy rainfall over Beijing area on July 21, 2012. Chinese J. Atmos. Sci., 37, 705–718. (in Chinese)

    Google Scholar 

  • Wang, C. C., G. T. J. Chen, H. L. Huang, et al., 2011: Synoptic conditions associated with propagating and nonpropagating cloud/rainfall episodes during the warm season over the East Asian continent. Mon. Wea. Rev., 140, 721–747.

    Article  Google Scholar 

  • Weckwerth, T. M., J. W. Wilson, M. Hagen, et al., 2011: Radar climatology of the COPS region. Quart. J. Roy. Meteor. Soc., 1371(SI), 31–41.

    Article  Google Scholar 

  • Wilson, J. W., and R. D. Roberts, 2006: Summary of convective storm initiation and evolution during IHOP: Observational and modeling perspective. Mon. Wea. Rev., 134, 23–47.

    Article  Google Scholar 

  • —, R. F. Ye, M. Chen, et al., 2010: Nowcasting challenges during the Beijing Olympics: Successes, failures, and implications for future nowcasting systems. Wea. Forecasting, 25, 1691–1714.

    Article  Google Scholar 

  • Wolyn, P. G., and T. B. Mckee, 1994: The mountain plains circulation east of a 2-km hight north-south barrier. Mon. Wea. Rev., 122, 1490–1508.

    Article  Google Scholar 

  • Wulfmeyer, V., A. Behrendt, C. Kottmeier, et al., 2011: The convective and orographically-induced precipitation study (COPS): The scientific strategy, the field phase, and research highlights. Quart. J. Roy. Meteor. Soc., 137, 3–30.

    Article  Google Scholar 

  • Yin Shuiqing, Li Weijing, Chen Deliang, et al., 2011: Diurnal variations of summer precipitation in the Beijing area and the possible effect of topography and urbanization. Adv. Atmos. Sci., 28, 725–734.

    Article  Google Scholar 

  • Zheng Yongguang, Chen Jiong, Chen Mingxuan, et al., 2007: Statistic characteristics and weather significance of infrared TBB during May–August in Beijing and its vicinity. Chin. Sci. Bull., 52, 3428–3435.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lei Han  (韩 雷).

Additional information

Supported by the National Natural Foundation of China (41005024 and 41275112), Specialized Research Fund for the Doctoral Program of Higher Education (20100132120009), Fundamental Research Fund for the Central Universities (201013023), and Promotive Research Fund for Young Scientists of Shandong Province (BS2010DX034).

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, Y., Han, L. & Wang, H. Statistical characteristics of convective initiation in the Beijing-Tianjin region revealed by six-year radar data. J Meteorol Res 28, 1127–1136 (2014). https://doi.org/10.1007/s13351-014-3061-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13351-014-3061-3

Key words

Navigation