A 7-Yr Climatology of the Initiation, Decay, and Morphology of Severe Convective Storms during the Warm Season over North China

Ruoyun Ma aKey Laboratory of Cloud-Precipitation Physics and Severe Storms (LACS), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
bUniversity of Chinese Academy of Sciences, Beijing, China

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Jianhua Sun aKey Laboratory of Cloud-Precipitation Physics and Severe Storms (LACS), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
bUniversity of Chinese Academy of Sciences, Beijing, China
cSouthern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China

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Xinlin Yang dKey Laboratory of Regional Climate-Environment for Temperate East Asia (RCE-TEA), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China

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Abstract

The present work established a 7-yr climatology of the initiation, decay, and morphology of severe convective storms (SCSs) during the warm seasons (May–September) of 2011–18 (except 2014) over North China. This was achieved by using severe weather reports, precipitation observations, and composite Doppler radar reflectivity data. A total of 371 SCSs were identified. SCSs primarily initiated around noon with the highest frequency over the high terrain of Mount Taihang, and they mostly decayed over the plains at night. The storm morphologies were classified into three types of cellular storms (individual cells, clusters of cells, and broken lines), six types of linear systems (convective lines with no stratiform, with trailing stratiform, leading stratiform, parallel stratiform, embedded lines, and bow echoes), and nonlinear systems. Three types of severe convective weather, namely, short-duration heavy rainfall, hail, and thunderstorm high winds, associated with these morphologies were investigated. A total of 1429 morphology samples from the 371 SCSs were found to be responsible for 15 966 severe convective weather reports. Nonlinear systems were the most frequent morphology, followed by clusters of cells. Convective lines with trailing stratiform were the most frequent linear morphology. Linear (nonlinear) systems produced the most short-duration heavy rainfall (hail and thunderstorm high wind) reports. Bow echoes were most efficient in producing both short-duration heavy rainfall and thunderstorm high wind reports whereas broken lines had the highest efficiency for hail production. The results in the present study are helpful for local forecasters to better anticipate the storm types and associated hazardous weather.

© 2021 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Jianhua Sun, sjh@mail.iap.ac.cn

Abstract

The present work established a 7-yr climatology of the initiation, decay, and morphology of severe convective storms (SCSs) during the warm seasons (May–September) of 2011–18 (except 2014) over North China. This was achieved by using severe weather reports, precipitation observations, and composite Doppler radar reflectivity data. A total of 371 SCSs were identified. SCSs primarily initiated around noon with the highest frequency over the high terrain of Mount Taihang, and they mostly decayed over the plains at night. The storm morphologies were classified into three types of cellular storms (individual cells, clusters of cells, and broken lines), six types of linear systems (convective lines with no stratiform, with trailing stratiform, leading stratiform, parallel stratiform, embedded lines, and bow echoes), and nonlinear systems. Three types of severe convective weather, namely, short-duration heavy rainfall, hail, and thunderstorm high winds, associated with these morphologies were investigated. A total of 1429 morphology samples from the 371 SCSs were found to be responsible for 15 966 severe convective weather reports. Nonlinear systems were the most frequent morphology, followed by clusters of cells. Convective lines with trailing stratiform were the most frequent linear morphology. Linear (nonlinear) systems produced the most short-duration heavy rainfall (hail and thunderstorm high wind) reports. Bow echoes were most efficient in producing both short-duration heavy rainfall and thunderstorm high wind reports whereas broken lines had the highest efficiency for hail production. The results in the present study are helpful for local forecasters to better anticipate the storm types and associated hazardous weather.

© 2021 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Jianhua Sun, sjh@mail.iap.ac.cn

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  • Aoshima, F., A. Behrendt, H. S. Bauer, and V. Wulfmeyer, 2008: Statistics of convection initiation by use of Meteosat rapid scan data during the Convective and Orographically-induced Precipitation Study (COPS). Meteor. Z., 17, 921930, https://doi.org/10.1127/0941-2948/2008/0337.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bai, L. Q., G. X. Chen, and L. Huang, 2020: Image processing of radar mosaics for the climatology of convection initiation in South China. J. Appl. Meteor. Climatol., 59, 6581, https://doi.org/10.1175/JAMC-D-19-0081.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Banta, R. M., 1990: Atmospheric Processes over Complex Terrain. Meteor. Monogr., No. 45, Amer. Meteor. Soc., 323 pp.

  • Banta, R. M., and C. B. Schaaf, 1987: Thunderstorm genesis zones in the Colorado Rocky Mountains as determined by traceback of geosynchronous satellite images. Mon. Wea. Rev., 115, 463476, https://doi.org/10.1175/1520-0493(1987)115<0463:TGZITC>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bao, X. H., and F. Q. Zhang, 2013: Impacts of the mountain-plains solenoid and cold pool dynamics on the diurnal variation of precipitation over Northern China. Atmos. Chem. Phys., 13, 9656982, https://doi.org/10.5194/acp-13-6965-2013.

    • Search Google Scholar
    • Export Citation
  • 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, 17111732, https://doi.org/10.1175/1520-0469(1985)042<1711:FOMLOP>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Chen, J., Y. G. Zheng, X. L. Zhang, and P. J. Zheng, 2013a: Distribution and diurnal variation of warm-season short-duration heavy rainfall in relation to the MCSs in China. Acta Meteor. Sin., 27, 868888, https://doi.org/10.1007/s13351-013-0605-x.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Chen, J., Y. G. Zheng, X. L. Zhang, and P. J. Zheng, 2013b: Analysis of the climatological distribution and diurnal variations of the short-duration heavy rain and its relation with diurnal variations of the MCSs over China during the warm season. Acta Meteor. Sin., 71, 367382, https://doi.org/10.11676/qxxb2013.035.

    • Search Google Scholar
    • Export Citation
  • Chen, M. X., Y. C. Wang, F. Gao, and X. Xiao, 2012: Diurnal variations in convective storm activity over contiguous North China during the warm season based on radar mosaic climatology. J. Geophys. Res., 117, 114, https://doi.org/10.1029/2012JD018158.

    • Search Google Scholar
    • Export Citation
  • Chen, M. X., Y. C. Wang, X. Xiao, and F. Gao, 2013: Initiation and propagation mechanism for the Beijing extreme rainstorm clusters on 21 July 2012. Acta Meteor. Sin., 71, 569592, https://doi.org/10.11676/qxxb2013.053.

    • Search Google Scholar
    • Export Citation
  • Chen, S., Y. C. Wang, W. L. Zhang, and M. X. Chen, 2011: Identifying mechanism of the convective storm moving from the mountain to the plain over Beijing area. Meteor. Mon., 37, 802813, https://doi.org/10.7519/j.issn.1000-0526.2011.07.004.

    • Search Google Scholar
    • Export Citation
  • Doswell, C. A., H. E. Brooks, and R. A. Maddox, 1996: Flash flood forecasting: An ingredients-based methodology. Wea. Forecasting, 11, 560581, https://doi.org/10.1175/1520-0434(1996)011<0560:FFFAIB>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Duda, J. D., and W. A. Gallus, 2010: Spring and summer Midwestern severe weather reports in supercells compared to other morphologies. Wea. Forecasting, 25, 190206, https://doi.org/10.1175/2009WAF2222338.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Fan, L. Q., Y. C. Wang, and M. X. Chen, 2009: Analysis of a severe convective storm event in Beijing using the thermodynamical retrieval method of radar data. Meteor. Mon., 35, 916, https://doi.org/10.7519/j.issn.1000-0526.2009.11.002.

    • Search Google Scholar
    • Export Citation
  • Fan, W. J., and X. D. Yu, 2015: Characteristics of spatial-temporal distribution of tornadoes in China. Meteor. Mon., 41, 793805, https://doi.org/10.7519/j.issn.1000-0526.2015.07.001.

    • Search Google Scholar
    • Export Citation
  • Gallus, W. A., N. A. Snook, and E. V. Johnson, 2008: Spring and summer severe weather reports over the Midwest as a function of convective mode: A preliminary study. Wea. Forecasting, 23, 101113, https://doi.org/10.1175/2007WAF2006120.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Geerts, B., 1998: Mesoscale convective systems in the southeast United States during 1994–95: A survey. Wea. Forecasting, 13, 860869, https://doi.org/10.1175/1520-0434(1998)013<0860:MCSITS>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • He, H. Z., and F. Q. Zhang, 2010: Diurnal variations of warm-season precipitation over Northern China. Mon. Wea. Rev., 138, 10171025, https://doi.org/10.1175/2010MWR3356.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hua, S. F., X. Xin, and B. J. Chen, 2020: Influence of multiscale orography on the initiation and maintenance of a precipitating convective system in North china: A case study. J. Geophys. Res. Atmos., 125, e2019JD031731, https://doi.org/10.1029/2019JD031731.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Karr, T. W., and R. L. Wooten, 1976: Summer radar echo distribution around Limon, Colorado. Mon. Wea. Rev., 104, 728734, https://doi.org/10.1175/1520-0493(1976)104<0728:SREDAL>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Klimowski, B. A., M. J. Bunkers, M. R. Hjelmfelt, and J. N. Covert, 2003: Severe convective windstorms over the northern high plains of the United States. Wea. Forecasting, 18, 502519, https://doi.org/10.1175/1520-0434(2003)18<502:SCWOTN>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kovacs, M., and D. J. Kirshbaum, 2016: Topographic impacts on the spatial distribution of deep convection over southern Quebec. J. Appl. Meteor. Climatol., 55, 743762, https://doi.org/10.1175/JAMC-D-15-0239.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kuo, J. T., and H. D. Orville, 1973: A radar climatology of summertime convective clouds in the Black Hills. J. Appl. Meteor., 12, 359368, https://doi.org/10.1175/1520-0450(1973)012<0359:ARCOSC>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Li, J., W. Bin, and W. Dong-Hai, 2012: The characteristics of mesoscale convective systems (MCSs) over East Asia in warm seasons. Atmos. Ocean. Sci. Lett., 5, 102107, https://doi.org/10.1080/16742834.2012.11446973.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Li, H. Q., X. P. Cui, and D.-L. Zhang, 2017: On the initiation of an isolated heavy-rain-producing storm near the central urban area of the Beijing metropolitan region. Mon. Wea. Rev., 145, 181197, https://doi.org/10.1175/MWR-D-16-0115.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Li, X. F., Q. H. Zhang, T. Zou, J. P. Lin, H. Kong, and Z. H. Ren, 2018: Climatology of hail frequency and size in China, 1980–2015. J. Appl. Meteor. Climatol., 57, 875887, https://doi.org/10.1175/JAMC-D-17-0208.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Liang, Q. Q., S. X. Xiang, L. G. Lin, and W. G. Meng, 2012: MCS characteristics over South China during the annually first rainy season and their organization. J. Trop. Meteor., 28, 541551, https://doi.org/10.3969/j.issn.1004-4965.2012.04.013.

    • Search Google Scholar
    • Export Citation
  • Liu, L., Y. C. Wang, and M. X. Chen, 2015: Spatial-temporal evolution characteristics of a squall line in Beijing-Tianjin-Hebei region. Meteor. Mon., 41, 14331456, https://doi.org/10.7519/j.issn.1000-0526.2015.12.001.

    • Search Google Scholar
    • Export Citation
  • Lombardo, K. A., and B. A. Colle, 2010: The spatial and temporal distribution of organized convective structures over the northeast and their ambient conditions. Mon. Wea. Rev., 138, 44564474, https://doi.org/10.1175/2010MWR3463.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lombardo, K. A., and B. A. Colle, 2011: Convective storm structures and ambient conditions associated with severe weather over the Northeast United States. Wea. Forecasting, 26, 940956, https://doi.org/10.1175/WAF-D-11-00002.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Meng, Y. N., J. H. Sun, Y. C. Zhang, and S. M. Fu, 2021: A 10-year climatology of mesoscale convective systems and their synoptic circulations in the southwest mountain area of China. J. Hydrol., 22, 2341, https://doi.org/10.1175/JHM-D-20-0167.1.

    • Search Google Scholar
    • Export Citation
  • Meng, Z. Y., D. Yan, and Y. J. Zhang, 2013: General features of squall lines in east China. Mon. Wea. Rev., 141, 16291647, https://doi.org/10.1175/MWR-D-12-00208.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Mulholland, J. P., S. W. Nesbitt, R. J. Trapp, K. L. Rasmussen, and P. V. Salio, 2018: Convective storm life cycle and environments near the Sierras de Córdoba, Argentina. Mon. Wea. Rev., 146, 25412557, https://doi.org/10.1175/MWR-D-18-0081.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Parker, M. D., 2007a: Simulated convective lines with parallel stratiform precipitation. Part I: An archetype for convection in along-line shear. J. Atmos. Sci., 64, 267288, https://doi.org/10.1175/JAS3853.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Parker, M. D., 2007b: Simulated convective lines with parallel stratiform precipitation. Part II: Governing dynamics and associated sensitivities. J. Atmos. Sci., 64, 289313, https://doi.org/10.1175/JAS3854.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Parker, M. D., and R. H. Johnson, 2000: Organizational modes of midlatitude mesoscale convective systems. Mon. Wea. Rev., 128, 34133436, https://doi.org/10.1175/1520-0493(2001)129<3413:OMOMMC>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Purdom, J. F. W., 1976: Some uses of high-resolution GOES imagery in the mesoscale forecasting of convection and its behavior. Mon. Wea. Rev., 104, 14741483, https://doi.org/10.1175/1520-0493(1976)104<1474:SUOHRG>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Qin, R., and M. X. Chen, 2017: Impact of a front-dryline merger on convection initiation near a mountain ridge in Beijing. Mon. Wea. Rev., 145, 26112633, https://doi.org/10.1175/MWR-D-16-0369.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Schaaf, C. B., J. Wurman, and R. M. Banta, 1988: Thunderstorm-producing terrain features. Bull. Amer. Meteor. Soc., 69, 272277, https://doi.org/10.1175/1520-0477(1988)069<0272:TPTF>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Schoen, J. M., and W. S. Ashley, 2011: A climatology of fatal convective wind events by storm type. Wea. Forecasting, 26, 109121, https://doi.org/10.1175/2010WAF2222428.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Schumacher, R. S., and R. H. Johnson, 2005: Organization and environmental properties of extreme-rain-producing mesoscale convective systems. Mon. Wea. Rev., 133, 961976, https://doi.org/10.1175/MWR2899.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Smith, B. T., R. L. Thompson, J. S. Grams, C. Broyles, and H. E. Brooks, 2012: Convective modes for significant severe thunderstorms in the contiguous United States. Part I: Storm classification and climatology. Wea. Forecasting, 27, 11141135, https://doi.org/10.1175/WAF-D-11-00115.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Smull, B. F., and R. A. Houze, 1987: Rear inflow in squall lines with trailing stratiform precipitation. Mon. Wea. Rev., 115, 28692889, https://doi.org/10.1175/1520-0493(1987)115<2869:RIISLW>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Snook, N., and W. A. Gallus Jr., 2004: A climatology of severe weather reports as a function of convective system morphology. Preprints, 22nd Conf. on Severe Local Storms, Hyannis, MA, Amer. Meteor. Soc., P5.5, https://ams.confex.com/ams/11aram22sls/techprogram/paper_81392.htm.

  • Sun, J. S., and B. Yang, 2008: Meso-β scale torrential rain affected by topography and the urban circulation. Chin. J. Atmos. Sci., 32, 13521364, https://doi.org/10.3878/j.issn.1006-9895.2008.06.10.

    • Search Google Scholar
    • Export Citation
  • Sun, J. S., H. Wang, L. Wang, F. Liang, Y. X. Kang, and X. Y. Jiang, 2006: The role of urban boundary layer in local convective torrential rain happening in Beijing on 10 July 2004. Chin. J. Atmos. Sci., 30, 221234, https://doi.org/10.3878/j.issn.1006-9895.2006.02.05.

    • Search Google Scholar
    • Export Citation
  • Tao, S. Y., 1980: Heavy Rainfalls in China. Science Press, 225 pp.

  • Thurfjell, L., E. Bengtsson, and B. Nordin, 1995: A boundary approach for fast neighborhood operations on three-dimensional binary data. Graph. Models Image Proc., 57, 1319, https://doi.org/10.1006/gmip.1995.1002.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Wang, X. F., C. G. Cui, W. J. Cui, and Y. Shi, 2014: Modes of mesoscale convective system organization during Meiyu season over the Yangtze River basin. J. Meteor. Res., 28, 111126, https://doi.org/10.1007/s13351-014-0108-4.

    • Search Google Scholar
    • Export Citation
  • Weckwerth, T. M., J. W. Wilson, M. Hagen, T. J. Emerson, J. O. Pinto, D. L. Rife, and L. Grebe, 2011: Radar climatology of the COPS region. Quart. J. Roy. Meteor. Soc., 137, 3141, https://doi.org/10.1002/qj.747.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Weiss, C. C., and H. B. Bluestein, 2002: Airborne pseudo-dual-Doppler analysis of a dryline-outflow boundary intersection. Mon. Wea. Rev., 130, 12071226, https://doi.org/10.1175/1520-0493(2002)130<1207:APDDAO>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 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, 2347, https://doi.org/10.1175/MWR3069.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Xia, R. D., and D.-L. Zhang, 2019: An observational analysis of three extreme rainfall episodes of 19–20 July 2016 along the Taihang Mountains in North China. Mon. Wea. Rev., 147, 41994220, https://doi.org/10.1175/MWR-D-18-0402.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Xiao, X., M. X. Chen, F. Gao, and Y. C. Wang, 2013: A mechanism analysis of the thermo-dynamical field of a suddenly intensifying storm from mountains in the Beijing area with the radar data 4DVar. Acta Meteor. Sin., 71, 797816, https://doi.org/10.11676/qxxb2013.077.

    • Search Google Scholar
    • Export Citation
  • Xiao, X., M. X. Chen, F. Gao, and Y. C. Wang, 2015: A thermodynamic mechanism analysis on enhancement or dissipation of convective systems from the mountains under weak synoptic forcing. Chin. J. Atmos. Sci., 39, 100124, https://doi.org/10.3878/j.issn.1006-9895.1403.13318.

    • Search Google Scholar
    • Export Citation
  • Yang, R. Y., Y. C. Zhang, J. H. Sun, S. M. Fu, and J. Li, 2019: The characteristics and classification of eastward-propagating mesoscale convective systems generated over the second-step terrain in the Yangtze River Valley. Atmos. Sci. Lett., 20, e874, https://doi.org/10.1002/asl.874.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Yang, X. L., and J. H. Sun, 2018: Organizational modes of severe wind-producing convective systems over North China. Adv. Atmos. Sci., 35, 540549, https://doi.org/10.1007/s00376-017-7114-2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Yang, X. L., J. H. Sun, and Y. G. Zheng, 2017: A 5-yr climatology of severe convective wind events over China. Wea. Forecasting, 32, 12891299, https://doi.org/10.1175/WAF-D-16-0101.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Zhang, W. L., and X. P. Cui, 2012: Main progress of torrential rain researches in North China during the past 50 years. Torrential Rain Disaster, 31, 384391.

    • Search Google Scholar
    • Export Citation
  • Zheng, L. L., J. H. Sun, X. L. Zhang, and C. H. Liu, 2013: Organizational modes of mesoscale convective systems. Wea. Forecasting, 28, 10811098, https://doi.org/10.1175/WAF-D-12-00088.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Zheng, Y. G., K. H. Zhou, J. Sheng, Y. J. Lin, F. Y. Tian, W. Y. Tang, Y. Lan, and W. J. Zhu, 2015: Advances in techniques of monitoring, forecasting and warning of severe convective weather. J. Appl. Meteor. Sci., 26, 641657, https://doi.org/10.11898/1001-7313.20150601.

    • Search Google Scholar
    • Export Citation
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