Synoptic Control of Convective Rainfall Rates and Cloud-to-Ground Lightning Frequencies in Warm-Season Mesoscale Convective Systems over North China

Rudi Xia State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China

Search for other papers by Rudi Xia in
Current site
Google Scholar
PubMed
Close
,
Da-Lin Zhang State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China, and Department of Atmospheric and Oceanic Science, University of Maryland, College Park, College Park, Maryland

Search for other papers by Da-Lin Zhang in
Current site
Google Scholar
PubMed
Close
,
Cuihong Zhang Key Laboratory of Meteorological Disaster/Pacific Typhoon Research Centre, Nanjing University of Information Sciences and Technology, Nanjing, and Wuhan Central Meteorological Observatory, Wuhan, China

Search for other papers by Cuihong Zhang in
Current site
Google Scholar
PubMed
Close
, and
Yongqing Wang Key Laboratory of Meteorological Disaster/Pacific Typhoon Research Centre, Nanjing University of Information Sciences and Technology, Nanjing, China

Search for other papers by Yongqing Wang in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

This study examines whether environmental conditions can control convective rainfall rates and cloud-to-ground (CG) lightning frequencies in mesoscale convective systems (MCSs) over north China (NC). A total of 60 identified MCSs over NC during June–August of 2008–13 were classified into 4 categories based on their high/low convective rainfall rates (HR/LR) and high/low CG lightning frequencies (HL/LL) (i.e., HRHL, HRLL, LRHL, and LRLL MCSs). MCSs with HR (HL) occurred most frequently in July (August), while those with LR or LL occurred most frequently in June; they followed closely seasonal changes. All MCSs were apt to form during afternoon hours. HRLL MCSs also formed during evening hours while HRHL MCSs could occur at any time of a day. A composite analysis of environmental conditions shows obvious differences and similarities among the HRHL, HRLL, and LRLL categories, while the LRHL MCSs exhibited little differences from the climatological mean because of its small sample size. Both the HRHL and HRLL MCSs occurred in the presence of upper-level anomalous divergence, a midlevel trough, and the lower-tropospheric southwesterly transport of tropical moist air. In contrast, LRLL MCSs took place as a result of daytime heating over mountainous regions, with little midlevel forcing over NC. The HRHL, HRLL, LRHL, and LRLL categories exhibited orders of the highest-to-smallest convective available potential energy and precipitable water but the smallest-to-largest convective inhibition and lifted indices. It is concluded that environmental conditions determine to some extent convective rainfall rates and CG lightning activity, although some other processes (e.g., cloud microphysics) also play certain roles, especially in CG lightning production.

© 2018 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: Dr. Rudi Xia, xiard@cma.gov.cn

Abstract

This study examines whether environmental conditions can control convective rainfall rates and cloud-to-ground (CG) lightning frequencies in mesoscale convective systems (MCSs) over north China (NC). A total of 60 identified MCSs over NC during June–August of 2008–13 were classified into 4 categories based on their high/low convective rainfall rates (HR/LR) and high/low CG lightning frequencies (HL/LL) (i.e., HRHL, HRLL, LRHL, and LRLL MCSs). MCSs with HR (HL) occurred most frequently in July (August), while those with LR or LL occurred most frequently in June; they followed closely seasonal changes. All MCSs were apt to form during afternoon hours. HRLL MCSs also formed during evening hours while HRHL MCSs could occur at any time of a day. A composite analysis of environmental conditions shows obvious differences and similarities among the HRHL, HRLL, and LRLL categories, while the LRHL MCSs exhibited little differences from the climatological mean because of its small sample size. Both the HRHL and HRLL MCSs occurred in the presence of upper-level anomalous divergence, a midlevel trough, and the lower-tropospheric southwesterly transport of tropical moist air. In contrast, LRLL MCSs took place as a result of daytime heating over mountainous regions, with little midlevel forcing over NC. The HRHL, HRLL, LRHL, and LRLL categories exhibited orders of the highest-to-smallest convective available potential energy and precipitable water but the smallest-to-largest convective inhibition and lifted indices. It is concluded that environmental conditions determine to some extent convective rainfall rates and CG lightning activity, although some other processes (e.g., cloud microphysics) also play certain roles, especially in CG lightning production.

© 2018 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: Dr. Rudi Xia, xiard@cma.gov.cn
Save
  • Anderson, C. J., and R. W. Arritt, 1998: Mesoscale convective complexes and persistent elongated convective systems over the United States during 1992 and 1993. Mon. Wea. Rev., 126, 578599, https://doi.org/10.1175/1520-0493(1998)126<0578:MCCAPE>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bluestein, H. B., and C. R. Parks, 1983: A synoptic and photographic climatology of low-precipitation severe thunderstorms in the southern plains. Mon. Wea. Rev., 111, 20342046, https://doi.org/10.1175/1520-0493(1983)111<2034:ASAPCO>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Carey, L. D., and K. M. Buffalo, 2007: Environmental control of cloud-to-ground lightning polarity in severe storms. Mon. Wea. Rev., 135, 13271353, https://doi.org/10.1175/MWR3361.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Chen, M., Y. 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, D20115, https://doi.org/10.1029/2012JD018158.

    • Search Google Scholar
    • Export Citation
  • Chen, T. C., S. Y. Wang, W. R. Huang, and M. C. Yen, 2004: Variation of the East Asian summer monsoon rainfall. J. Climate, 17, 744762, https://doi.org/10.1175/1520-0442(2004)017<0744:VOTEAS>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Cheze, J.-L., and H. Sauvageot, 1997: Area-averaged rainfall and lightning activity. J. Geophys. Res., 102, 17071715, https://doi.org/10.1029/96JD02972.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Colby, F. P., 1984: Convective inhibition as a predictor of convective during AVE-SESAME-2. Mon. Wea. Rev., 112, 22392252, https://doi.org/10.1175/1520-0493(1984)112<2239:CIAAPO>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Cummins, K. L., and M. J. Murphy, 2009: An overview of lightning locating systems: History, techniques, and data uses, with an in-depth look at the U.S. NLDN. IEEE Trans. Electromagn. Compat., 51, 499518, https://doi.org/10.1109/TEMC.2009.2023450.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Cummins, K. L., M. J. Murphy, E. A. Bardo, W. L. Hiscox, R. B. Pyle, and A. E. Pifer, 1998: A combined TOA/MDF technology upgrade of the U.S. National Lightning Detection Network. J. Geophys. Res., 103, 90359044, https://doi.org/10.1029/98JD00153.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Deierling, W., W. A. Petersen, J. Latham, S. Ellis, and H. J. Christian, 2008: The relationship between lightning activity and ice fluxes in thunderstorms. J. Geophys. Res., 113, D15210, https://doi.org/10.1029/2007JD009700.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Ding, Y.-H., and J. C. L. Chan, 2005: The East Asian summer monsoon: An overview. Meteor. Atmos. Phys., 89, 117142, https://doi.org/10.1007/s00703-005-0125-z.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Doswell, C. A., III, and E. N. Rasmussen, 1994: The effect of neglecting the virtual temperature correction on CAPE calculations. Wea. Forecasting, 9, 625629, https://doi.org/10.1175/1520-0434(1994)009<0625:TEONTV>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Fritsch, J. M., R. J. Kane, and C. R. Chelius, 1986: The contribution of mesoscale convective weather systems to the warm-season precipitation in the United States. J. Climate Appl. Meteor., 25, 13331345, https://doi.org/10.1175/1520-0450(1986)025<1333:TCOMCW>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Galway, J., 1956: The lifted index as a predictor of latent instability. Bull. Amer. Meteor. Soc., 37, 528529.

  • Goodman, S. J., and D. R. MacGorman, 1986: Cloud-to-ground lightning activity in mesoscale convective complexes. Mon. Wea. Rev., 114, 23202328, https://doi.org/10.1175/1520-0493(1986)114<2320:CTGLAI>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Guo, J., and Coauthors, 2016: Delaying precipitation and lightning by air pollution over the Pearl River Delta. Part I: Observational analyses. J. Geophys. Res. Atmos., 121, 64726488, https://doi.org/10.1002/2015JD023257.

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

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Houze, R. A., Jr., 1993: Cloud Dynamics. Academic Press, 573 pp.

  • Houze, R. A., Jr., 2004: Mesoscale convective systems. Rev. Geophys., 42, RG4003, https://doi.org/10.1029/2004RG000150.

  • Jiang, Z., D.-L. Zhang, R. Xia, and T. Qian, 2017: Diurnal variations of presummer rainfall over Southern China. J. Climate, 30, 755773, https://doi.org/10.1175/JCLI-D-15-0666.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Jin, Y.-Q., N. Lu, and M. Lin, 2010: Advancement of Chinese meteorological Feng–Yun (FY) and oceanic Hai–Yang (HY) satellite remote sensing. Proc. IEEE, 98, 844861, https://doi.org/10.1109/JPROC.2009.2034283.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Jirak, I. L., W. R. Cotton, and R. L. McAnelly, 2003: Satellite and radar survey of mesoscale convective system development. Mon. Wea. Rev., 131, 24282449, https://doi.org/10.1175/1520-0493(2003)131<2428:SARSOM>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Joyce, R. J., J. E. Janowiak, P. A. Arkin, and P. P. Xie, 2004: CMORPH: A method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution. J. Hydrometeor., 5, 487503, https://doi.org/10.1175/1525-7541(2004)005<0487:CAMTPG>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lericos, T. P., H. E. Fuelberg, A. I. Watson, and R. L. Holle, 2002: Warm season lightning distributions over the Florida peninsula as related to synoptic patterns. Wea. Forecasting, 17, 8398, https://doi.org/10.1175/1520-0434(2002)017<0083:WSLDOT>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Li, H., X. Cui, and D.-L. Zhang, 2017: A statistical analysis of hourly heavy rainfall events over the Beijing metropolitan region during the warm seasons of 2007–2014. Int. J. Climatol., 37, 40274042, https://doi.org/10.1002/joc.4983.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Liu, D., X. Qie, Y. Xiong, and G. Feng, 2011: Evolution of the total lightning activity in a leading-line and trailing stratiform mesoscale convective system over Beijing. Adv. Atmos. Sci., 28, 866878, https://doi.org/10.1007/s00376-010-0001-8.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Maddox, R. A., 1980: Meoscale convective complexes. Bull. Amer. Meteor. Soc., 61, 13741387, https://doi.org/10.1175/1520-0477(1980)061<1374:MCC>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Markowski, P., and Y. Richardson, 2010: Mesoscale Meteorology in Midlatitudes. Wiley-Blackwell, 424 pp.

    • Crossref
    • Export Citation
  • Mattos, E. V., and L. A. T. Machado, 2011: Cloud-to-ground lightning and Mesoscale Convective Systems. Atmos. Res., 99, 377390, https://doi.org/10.1016/j.atmosres.2010.11.007.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Mazarakis, N., V. Kotroni, K. Lagouvardos, and A. Argiriou, 2008: Storms and lightning activity in Greece during the warm periods of 2003–06. J. Appl. Meteor. Climatol., 47, 30893098, https://doi.org/10.1175/2008JAMC1798.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Moncrieff, M., and M. Miller, 1976: The dynamics and simulation of tropical cumulonimbus and squall lines. Quart. J. Roy. Meteor. Soc., 102, 373394, https://doi.org/10.1002/qj.49710243208.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Pan, Y., Y. Shen, J. Yu, and P. Zhao, 2012: Analysis of the combined gauge-satellite hourly rainfall over China based on the OI technique. Acta Meteor. Sin., 70, 13811389.

    • Search Google Scholar
    • Export Citation
  • Petersen, W. A., and S. A. Rutledge, 1998: On the relationship between cloud-to-ground lightning and convective rainfall. J. Geophys. Res., 103, 14 02514 040, https://doi.org/10.1029/97JD02064.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Rakov, V. A., and M. A. Uman, 2003 : Lightning: Physics and Effects. Cambridge University Press, 687 pp.

    • Crossref
    • Export Citation
  • Reap, R. M., 1994: Analysis and prediction of lightning strike distributions associated with synoptic map types over Florida. Mon. Wea. Rev., 122, 16981715, https://doi.org/10.1175/1520-0493(1994)122<1698:AAPOLS>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Reap, R. M., and D. R. MacGorman, 1989: Cloud-to-ground lightning: Climatological characteristics and relationships to model fields, radar observations, and severe local storms. Mon. Wea. Rev., 117, 518535, https://doi.org/10.1175/1520-0493(1989)117<0518:CTGLCC>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Ricard, D., V. Ducrocq, and L. Auger, 2012: A climatology of the mesoscale environment associated with heavily precipitating events over a northwestern Mediterranean area. J. Appl. Meteor. Climatol., 51, 468488, https://doi.org/10.1175/JAMC-D-11-017.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Rudlosky, S. D., and H. E. Fuelberg, 2011: Seasonal, regional, and storm-scale variability of cloud-to-ground lightning characteristics in Florida. Mon. Wea. Rev., 139, 18261843, https://doi.org/10.1175/2010MWR3585.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Shen, Y., Y. Pan, and J. Yu, 2013: Quality assessment of hourly merged precipitation product over China (in Chinese). Trans. Atmos. Sci., 36, 3746.

    • Search Google Scholar
    • Export Citation
  • Shen, Y., P. Zhao, Y. Pan, and J. Yu, 2014: A high spatiotemporal gauge - satellite merged precipitation analysis over China. J. Geophys. Res. Atmos., 119, 30633075, https://doi.org/10.1002/2013JD020686.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Sheridan, S. C., J. F. Griffiths, and R. E. Orville, 1997: Warm season cloud-to-ground lightning-precipitation relationships in the south-central United States. Wea. Forecasting, 12, 449458, https://doi.org/10.1175/1520-0434(1997)012<0449:WSCTGL>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Soriano, L. R., F. De Pablo, and E. G. Díez, 2001: Relationship between convective precipitation and cloud-to-ground lightning in the Iberian Peninsula. Mon. Wea. Rev., 129, 29983003, https://doi.org/10.1175/1520-0493(2001)129<2998:RBCPAC>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Su, Y., L. He, Y. Gong, Z. Li, and Z. Yu, 2011: A study of temporal-spatial distribution and synoptic characteristics of severe convective weather in Beijing, Tianjin and Hebei (in Chinese). Meteor. Mon., 37, 177184.

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

  • Tapia, A., J. A. Smith, and M. Dixon, 1998: Estimation of convective rainfall from lightning observations. J. Appl. Meteor., 37, 14971509, https://doi.org/10.1175/1520-0450(1998)037<1497:EOCRFL>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Toracinta, E. R., K. Mohr, E. J. Zipser, and R. E. Orville, 1996: A comparison of WSR-88D reflectivities, SSM/I brightness temperatures, and lightning for mesoscale convective systems in Texas. Part I: Radar reflectivity and lightning. J. Appl. Meteor., 35, 902918, https://doi.org/10.1175/1520-0450(1996)035<0902:ACOWRS>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Wilks, D. S., 2011: Statistical Methods in the Atmospheric Sciences. Academic Press, 676 pp.

  • Williams, E. R., M. E. Weber, and R. E. Orville, 1989: The relationship between lightning type and convective state of thunderclouds. J. Geophys. Res., 94, 13 21313 220, https://doi.org/10.1029/JD094iD11p13213

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Wu, F., X. Cui, D.-L. Zhang, D. Liu, and D. Zheng, 2016: SAFIR-3000 lightning statistics over the Beijing metropolitan region during 2005–07. J. Appl. Meteor. Climatol., 55, 26132633, https://doi.org/10.1175/JAMC-D-16-0030.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Wu, F., X. Cui, D.-L. Zhang, and L. Qiao, 2017: The relationship of lightning activity and short-duration rainfall events during warm seasons over the Beijing metropolitan region. Atmos. Res., 195, 3143, https://doi.org/10.1016/j.atmosres.2017.04.032.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Xia, R., D.-L. Zhang, and B. Wang, 2015: A 6-yr cloud-to-ground lightning climatology and its relationship to rainfall over central and eastern China. J. Appl. Meteor. Climatol., 54, 24432460, https://doi.org/10.1175/JAMC-D-15-0029.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Xie, P. P., and A. Y. Xiong, 2011: A conceptual model for constructing high-resolution gauge-satellite merged rainfall analyses. J. Geophys. Res., 116, D21106, https://doi.org/10.1029/2011JD016118.

    • Search Google Scholar
    • Export Citation
  • Xu, W., R. F. Adler, and N.-Y. Wang, 2014: Combining satellite infrared and lightning information to estimate warm - season convective and stratiform rainfall. J. Appl. Meteor. Climatol., 53, 180199, https://doi.org/10.1175/JAMC-D-13-069.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Yang, X., J. Fei, X. Huang, X. Cheng, L. M. Carvalho, and H. He, 2015: Characteristics of mesoscale convective systems over China and its vicinity using geostationary satellite FY2. J. Climate, 28, 48904907, https://doi.org/10.1175/JCLI-D-14-00491.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Yang, X., J. Sun, and Y. 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, D.-L., Y. Lin, P. Zhao, X. Yu, S. Wang, H. Kang, and Y. Ding, 2013: The Beijing extreme rainfall of 21 July 2012: “Right results” but for wrong reasons. Geophys. Res. Lett., 40, 14261431, https://doi.org/10.1002/grl.50304.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Zhang, W., Q. Meng, M. Ma, and Y. Zhang, 2011: Lightning casualties and damages in China from 1997 to 2009. Nat. Hazards, 57, 465476, https://doi.org/10.1007/s11069-010-9628-0.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Zhong, L., R. Mu, D.-L. Zhang, P. Zhao, Z. Zhang, and N. Wang, 2015: An observational analysis of warm-sector rainfall characteristics associated with the 21 July 2012 Beijing extreme rainfall event. J. Geophys. Res. Atmos., 120, 32743291, https://doi.org/10.1002/2014JD022686.

    • Crossref
    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 480 192 15
PDF Downloads 351 106 9