Articles | Volume 26, issue 15
https://doi.org/10.5194/acp-26-11091-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-26-11091-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Physical Interpretation and Implications of Convective Impulses in Thunderstorms Based on Lightning and Polarimetric Radar Observations
Climate Change and Resource Utilization in Complex Terrain Regions Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, 610225, China
Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences, Fudan University, Shanghai, 200438, China
Yijun Zhang
CORRESPONDING AUTHOR
Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences, Fudan University, Shanghai, 200438, China
Shanghai Key Laboratory of Ocean-land-atmosphere Boundary Dynamics and Climate Change & Shanghai Frontiers Science Center of Atmosphere-Ocean Interaction, Fudan University, Shanghai, 200438, China
Dong Zheng
State Key Laboratory of Severe Weather Meteorological Science and Technology & CMA Key Laboratory of Lightning, Chinese Academy of Meteorological Sciences, Beijing 100081, China
Liangtao Xu
State Key Laboratory of Severe Weather Meteorological Science and Technology & CMA Key Laboratory of Lightning, Chinese Academy of Meteorological Sciences, Beijing 100081, China
Wen Yao
State Key Laboratory of Severe Weather Meteorological Science and Technology & CMA Key Laboratory of Lightning, Chinese Academy of Meteorological Sciences, Beijing 100081, China
Related authors
Chuanhong Zhao, Yijun Zhang, Huiyan Zhai, Zhe Li, Dong Zheng, Xueyan Peng, Wen Yao, Sai Du, and Yuanmou Du
Atmos. Chem. Phys., 25, 13453–13473, https://doi.org/10.5194/acp-25-13453-2025, https://doi.org/10.5194/acp-25-13453-2025, 2025
Short summary
Short summary
Lightning activity is highly related to the signatures of polarimetric radar on the basis of cloud electrification physics. However, few studies have focused on bridging the polarimetric structure and lightning activity during the cloud life cycle. Here, we evaluated the sequence and interactions of polarimetric parameters for indicating lightning activity from the perspective of the cloud life cycle, and the cloud microphysics of the polarimetric structure were explored.
Chuanhong Zhao, Yijun Zhang, Dong Zheng, Haoran Li, Sai Du, Xueyan Peng, Xiantong Liu, Pengguo Zhao, Jiafeng Zheng, and Juan Shi
Atmos. Chem. Phys., 24, 11637–11651, https://doi.org/10.5194/acp-24-11637-2024, https://doi.org/10.5194/acp-24-11637-2024, 2024
Short summary
Short summary
Understanding lightning activity is important for meteorology and atmospheric chemistry. However, the occurrence of lightning activity in clouds is uncertain. In this study, we quantified the difference between isolated thunderstorms and non-thunderstorms. We showed that lightning activity was more likely to occur with more graupel volume and/or riming. A deeper ZDR column was associated with lightning occurrence. This information can aid in a deeper understanding of lighting physics.
Chuanhong Zhao, Yijun Zhang, Huiyan Zhai, Zhe Li, Dong Zheng, Xueyan Peng, Wen Yao, Sai Du, and Yuanmou Du
Atmos. Chem. Phys., 25, 13453–13473, https://doi.org/10.5194/acp-25-13453-2025, https://doi.org/10.5194/acp-25-13453-2025, 2025
Short summary
Short summary
Lightning activity is highly related to the signatures of polarimetric radar on the basis of cloud electrification physics. However, few studies have focused on bridging the polarimetric structure and lightning activity during the cloud life cycle. Here, we evaluated the sequence and interactions of polarimetric parameters for indicating lightning activity from the perspective of the cloud life cycle, and the cloud microphysics of the polarimetric structure were explored.
Xueqiang Gou, Chao Xin, Liwen Xu, Ping Yuan, Yijun Zhang, and Mingli Chen
Nonlin. Processes Geophys., 32, 107–115, https://doi.org/10.5194/npg-32-107-2025, https://doi.org/10.5194/npg-32-107-2025, 2025
Short summary
Short summary
We investigate the stability characteristics of lightning discharge channels through their differential resistance properties. Our analysis reveals that lightning channels exhibit bistable behavior, transitioning between low- and high-conductivity states depending on channel length and electric-field conditions. This work provides new insights into lightning channel dynamics and could contribute to improved lightning protection strategies.
Chuanhong Zhao, Yijun Zhang, Dong Zheng, Haoran Li, Sai Du, Xueyan Peng, Xiantong Liu, Pengguo Zhao, Jiafeng Zheng, and Juan Shi
Atmos. Chem. Phys., 24, 11637–11651, https://doi.org/10.5194/acp-24-11637-2024, https://doi.org/10.5194/acp-24-11637-2024, 2024
Short summary
Short summary
Understanding lightning activity is important for meteorology and atmospheric chemistry. However, the occurrence of lightning activity in clouds is uncertain. In this study, we quantified the difference between isolated thunderstorms and non-thunderstorms. We showed that lightning activity was more likely to occur with more graupel volume and/or riming. A deeper ZDR column was associated with lightning occurrence. This information can aid in a deeper understanding of lighting physics.
Cited articles
Beard, K. V.: Ice initiation in warm-base convective clouds: An assessment of microphysical mechanisms, Atmos. Res., 28, 125–152, https://doi.org/10.1016/0169-8095(92)90024-5, 1992.
Bell, B., Hersbach, H., Simmons, A., Berrisford, P., Dahlgren, P., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Radu, R., Schepers, D., Soci, C., Villaume, S., Bidlot, J. R., Haimberger, L., Woollen, J., Buontempo, C., and Thépaut, J. N.: The ERA5 global reanalysis: Preliminary extension to 1950, Q. J. R. Meteorol. Soc., 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020.
Braham Jr., R. R.: The cloud physics of weather modification, Part 1: Scientific basis, WMO Bull., 35, 215–221, 1986.
Bringi, V. N., Knupp, K., Detwiler, A., Liu, L., Caylor, I. J., and Black, R. A.: Evolution of a Florida Thunderstorm during the Convection and Precipitation/Electrification Experiment: The Case of 9 August 1991, Mon. Weather Rev., 125, 2131–2160, https://doi.org/10.1175/1520-0493(1997)125<2131:EOAFTD>2.0.CO;2, 1997.
Bringi, V. N. and Chandrasekar, V.: Polarimetric Doppler Weather Radar: Principles and Applications, Cambridge University Press, Cambridge, ISBN 978-0-521-62384-1, 2001.
Bruning, E. C., Brunner, K. N., van Lier-Walqui, M., Logan, T., and Matsui, T.: Lightning and Radar Measures of Mixed-Phase Updraft Variability in Tracked Storms during the TRACER Field Campaign in Houston, Texas, Mon. Weather Rev., 152, 2753–2769, https://doi.org/10.1175/MWR-D-24-0060.1, 2024.
Carey, L. D. and Buffalo, K. M.: Environmental Control of Cloud-to-Ground Lightning Polarity in Severe Storms, Mon. Weather Rev., 135, 1327–1353, https://doi.org/10.1175/MWR3361.1, 2007.
Carey, L. D. and Rutledge, S. A.: The Relationship between Precipitation and Lightning in Tropical Island Convection: A C-Band Polarimetric Radar Study, Mon. Weather Rev., 128, 2687–2710, https://doi.org/10.1175/1520-0493(2000)128<2687:TRBPAL>2.0.CO;2, 2000.
Carey, L. D., Schultz, E. V., Schultz, C. J., Deierling, W., Petersen, W. A., Bain, A. L., and Pickering, K. E.: An Evaluation of Relationships between Radar-Inferred Kinematic and Microphysical Parameters and Lightning Flash Rates in Alabama Storms, Atmosphere, 10, 796, https://doi.org/10.3390/atmos10120796, 2019.
Cecil, D. J., Buechler, D., and Blakeslee, R. J.: Gridded lightning climatology from TRMM-LIS and OTD: dataset description, Atmos. Res., 135–136, 404–414, https://doi.org/10.1016/j.atmosres.2012.06.028, 2014.
Chen, L., Zhang, Y. J., Lyu, W., Zheng, D., Zhang, Y., Chen, S., and Huang, Z.: Performance evaluation for a lightning location system based on observations of artificially triggered lightning and natural lightning flashes, J. Atmos. Ocean. Technol., 29, 1835–1844, https://doi.org/10.1175/JTECH-D-12-00028.1, 2012.
Dagan, G., Stier, P., Christensen, M., Cioni, G., Klocke, D., and Seifert, A.: Atmospheric energy budget response to idealized aerosol perturbation in tropical cloud systems, Atmos. Chem. Phys., 20, 4523–4544, https://doi.org/10.5194/acp-20-4523-2020, 2020.
Fan, J. W., Rosenfeld, D., Zhang, Y., Giangrande, S. E., Li, Z., Machado, L. A. T., Martin, S. T., Yang, Y., Wang, J., Artaxo, P., Barbosa, H. M. J., Braga, R. C., Comstock, J. M., Feng, Z., Gao, W., Gomes, H. B., Mei, F., Pöhlker, C., Pöhlker, M. L., Pöschl, U., and de Souza, R. A. F.: Substantial convection and precipitation enhancements by ultrafine aerosol particles, Science, 359, 411–418, 10.1126/science.aan8461, 2018a.
Fan, J. W., Zhang,Y., Li, Z., Yan, H., Prabhakaran, T., Rosenfeld, D., and Khain, A.: Unveiling aerosol impacts on deep convective clouds: Scientific concept, modeling, observational analysis, and future direction, J. Geophys. Res.: Atmos., 130, e2024JD041931, https://doi.org/10.1029/2024JD041931, 2025.
Fan, X. P., Zhang, Y. J., Zheng, D., Zhang, Y., Lyu, W. T., Liu, H. Y., and Xu, L. T.: A New Method of Three‐Dimensional Location for Low‐Frequency Electric Field Detection Array, J. Geophys. Res.: Atmos., 123, 8792–8812, https://doi.org/10.1029/2017jd028249, 2018b.
Foote, G. B. and Frank, H. W.: Case Study of a Hailstorm in Colorado. Part III: Airflow From Triple-Doppler Measurements, J. Atmos. Sci., 40, 686–707, https://doi.org/10.1175/1520-0469(1983)040<0686:CSOAHI>2.0.CO;2, 1983.
Fuchs, B. R., Rutledge, S. A., Dolan, B., Carey, L. D., and Schultz, C.: Microphysical and kinematic processes associated with anomalous charge structures in isolated convection, J. Geophys. Res.: Atmos., 123, 6505–6528, https://doi.org/10.1029/2017JD027540, 2018.
Grabowski, W. W.: Daytime convective development over land: The role of surface forcing, Q. J. R. Meteorol. Soc., 149, 2800–2819, https://doi.org/10.1002/qj.4532, 2023.
Grabowski, W. W. and Morrison, H.: Do Ultrafine Cloud Condensation Nuclei Invigorate Deep Convection?, J. Atmos. Sci., 77, 2567–2583, https://doi.org/10.1175/JAS-D-20-0012.1, 2020.
Grabowski, W. W. and Morrison, H.: Supersaturation, buoyancy, and deep convection dynamics, Atmos. Chem. Phys., 21, 13997–14018, https://doi.org/10.5194/acp-21-13997-2021, 2021.
Golestani, Y., Chandrasekar, V., and Bringi, V. N.: Paper presented at the 24th Conference on Radar Meteorology, Tallahassee, FL, Am. Meteorol. Soc., 1989.
Herzegh, P. H. and Jameson, A. R.: Observing Precipitation through Dual-Polarization Radar Measurements, Bull. Am. Meteorol. Soc., 73, 1365–1376, https://doi.org/10.1175/1520-0477(1992)073<1365:OPTDPR>2.0.CO;2, 1992.
Hu, J. and Ryzhkov, A.: Climatology of the Vertical Profiles of Polarimetric Radar Variables and Retrieved Microphysical Parameters in Continental/Tropical MCSs and Landfalling Hurricanes, J. Geophys. Res.: Atmos., 127, https://doi.org/10.1029/2021jd035498, 2022.
Koren, I., Kaufman, Y. J., Remer, L. A., and Martins, J. V.: Measurement of the effect of Amazon smoke on inhibition of cloud formation, Science, 303, 1342–1345, https://doi.org/10.1126/science.1089424, 2004.
Kumjian, M. R. and Prat, O. P.: The Impact of Raindrop Collisional Processes on the Polarimetric Radar Variables, J. Atmos. Sci., 71, 3052–3067, https://doi.org/10.1175/JAS-D-13-0357.1, 2014.
Kumjian, M. R., Khain, A. P., Benmoshe, N., Ilotoviz, E., Ryzhkov, A. V., and Phillips, V. T. J.: The Anatomy and Physics of ZDR Columns: Investigating a Polarimetric Radar Signature with a Spectral Bin Microphysical Model, J. Appl. Meteorol. Climatol., 53, 1820–1843, https://doi.org/10.1175/jamc-d-13-0354.1, 2014.
Kumjian, M. R., Prat, O. P., Reimel, K. J., van Lier-Walqui, M., and Morrison, H. C.: Dual-Polarization Radar Fingerprints of Precipitation Physics: A Review, Remote Sens., 14, 3706, https://doi.org/10.3390/rs14153706, 2022.
Li, H. Q., Wan, Q., Peng, D., Liu, X., and Xiao, H.: Multiscale analysis of a record-breaking heavy rainfall event in Guangdong, China, Atmos. Res., 232,0 104703, https://doi.org/10.1016/j.atmosres.2019.104703, 2020.
Liu, N., Liu, C., Chen, B., and Zipser, E.: What Are the Favorable Large-Scale Environments for the Highest-Flash-Rate Thunderstorms on Earth?, J. Atmos. Sci., 77, 1583–1612, https://doi.org/10.1175/JAS-D-19-0235.1, 2020.
Liu, Z., Zheng, D., Guo, F., Zhang, Y., Zhang, Y., Wu, C., Chen, H., and Han, S.: Lightning activity and its associations with cloud structures in a rainstorm dominated by warm precipitation, Atmos. Res., 246, https://doi.org/10.1016/j.atmosres.2020.105120, 2020.
Lucas, C., Zipser, E. J., and Lemone, M. A.: Vertical Velocity in Oceanic Convection off Tropical Australia, J. Atmos. Sci., 51, 3183–3193, https://doi.org/10.1175/1520-0469(1994)051<3183:VVIOCO>2.0.CO;2, 1994.
MacGorman, D. R. and Rust, W. D.: The Electrical Nature of Storms, Oxford University Press, ISBN 100195073371, 1998.
Markowski, P. and Richardson, Y.: Mesoscale Meteorology in Midlatitudes, John Wiley and Sons Press, ISBN 9780470742136, 2010.
Mather, G. K., Morrison, B. J., and Morgan Jr., G. M.: A Preliminary Assessment of the Importance of Coalescence in Convective Clouds of the Eastern Transvaal, J. Appli. Meteorol. Climatol., 25, 1780–1784, https://doi.org/10.1175/1520-0450(1986)025<1780:APAOTI>2.0.CO;2, 1986.
Mattos, E. V., Machado, L. A. T., Williams, E. R., Goodman, S. J., Blakeslee, R. J., and Bailey, J. C.: Electrification life cycle of incipient thunderstorms, J. Geophys. Res.: Atmos., 122, 4670–4697, https://doi.org/10.1002/2016JD025772, 2017.
Morrison, H., Thompson, G., and Tatarskii, V.: Impact of cloud microphysics on the development of trailing stratiform precipitation in a simulated squall line: Comparison of one- and two-moment schemes, Mon. Weather Rev., 137: 991–1007, https://doi.org/10.1175/2008MWR2556.1, 2009.
Morrison, H., Tessendorf, S. A., Ikeda, K., and Thompson, G.: Sensitivity of a Simulated Midlatitude Squall Line to Parameterization of Raindrop Breakup. Mon. Weather Rev., 140, 2437–2460, https://doi.org/10.1175/MWR-D-11-00283.1, 2012.
Orville, R. E. and Henderson, R. W.: Global Distribution of Midnight Lightning: September 1977 to August 1978, Mon. Weather Rev., 114, 2640–2653, https://doi.org/10.1175/1520-0493(1986)114<2640:GDOMLS>2.0.CO;2, 1986.
Pruppacher, H. R. and Klett, J. D.: Microphysics of Clouds and Precipitation, edn. 2, Kluwer Academic, ISBN 079234409X, 1997.
Qie, X., Yair, Y., Di, S., Huang, Z., and Jiang, R.: Lightning response to temperature and aerosols, Environ. Res. Lett., 19, 083003, https://doi.org/10.1088/1748-9326/ad63bf, 2024.
Rasmussen, R. M. and Heymsfield, A. J.: Melting and Shedding of Graupel and Hail. Part I: Model Physics, J. Atmos. Sci., 44, 2754–2763, https://doi.org/10.1175/1520-0469(1987)044<2754:MASOGA>2.0.CO;2, 1987a.
Rasmussen, R. M. and Heymsfield, A. J.: Melting and Shedding of Graupel and Hail. Part II: Sensitivity Study, J. Atmos. Sci., 44, 2764–2782, https://doi.org/10.1175/1520-0469(1987)044<2764:MASOGA>2.0.CO;2, 1987b.
Rasmussen, R. M. and Heymsfield, A. J.: Melting and Shedding of Graupel and Hail. Part III: Investigation of the Role of Shed Drops as Hail Embryos in the 1 August CCOPE Severe Storm, J. Atmos. Sci., 44, 2783–2803, https://doi.org/10.1175/1520-0469(1987)044<2783:MASOGA>2.0.CO;2, 1987c.
Rogers, R. R. and Yau, M. K.: A Short Course in Cloud Physics, edn. 3, Pergamon Press, ISBN 0-08-0348645, 1989.
Rosenfeld, D. and Lensky, I. M.: Satellite-Based Insights into Precipitation Formation Processes in Continental and Maritime Convective Clouds, Bull. Am. Meteorol. Soc., 79, 2457–2476, https://doi.org/10.1175/1520-0477(1998)079<2457:SBIIPF>2.0.CO;2, 1998.
Rosenfeld, D., Lohmann, U., Raga, G. B., O'Dowd, C. D., Kulmala, M., Fuzzi, S., Reissell, A., and Andreae, M. O.: Flood or Drought: How Do Aerosols Affect Precipitation?, Science, 321, 1309–1313, https://doi.org/10.1126/science.1160606, 2008.
Schmid, W., Schiesser, H., Furger, M., and Jenni, M.: The Origin of Severe Winds in a Tornadic Bow-Echo Storm over Northern Switzerland, Mon. Weather Rev., 128, 192–207, https://doi.org/10.1175/1520-0493(2000)128<0192:TOOSWI>2.0.CO;2, 2000.
Shi, D., Zheng, D., Zhang, Y., Zhang, Y., Huang, Z., Lu, W., Chen, S., and Yan, X.: Low-frequency E-field Detection Array (LFEDA) – Construction and preliminary results, Sci. China Earth Sci., 60, 1896–1908, https://doi.org/10.1007/s11430-016-9093-9, 2017.
Smith, P. L., Musil, D. J., Detwiler, A. G., and Ramachandran, R.: Observations of Mixed-Phase Precipitation within a CaPE Thunderstorm, J. Appl. Meteorol. Climatol., 38, 145–155, https://doi.org/10.1175/1520-0450(1999)038<0145:OOMPPW>2.0.CO;2, 1999.
Stolzenburg, M., Marshall, T. C., and Krehbiel, P. R.: Initial electrification to the first lightning flash in New Mexico thunderstorms, J. Geophys. Res.: Atmos., 120, 11253–11276, https://doi.org/10.1002/2015JD023988, 2015.
Stough, S. M., Carey, L. D., Schultz, C. J., and Cecil, D. J.: Examining conditions supporting the development of anomalous charge structures in supercell thunderstorms in the Southeastern United States, J. Geophys. Res.: Atmos., 126, e2021JD034582, https://doi.org/10.1029/2021JD034582, 2021.
Thornton, J. A., Virts, K. S., Holzworth, R. H., and Mitchell, T. P.: Lightning enhancement over major oceanic shipping lanes, Geophys. Res. Lett., 44, 9102–9111, https://doi.org/10.1002/2017GL074982, 2017.
Tokay, A., D'Adderio, L. P., Marks, D. A., Pippitt, J. L., Wolff, D. B., and Petersen, W. A.: Comparison of Raindrop Size Distribution between NASA's S-Band Polarimetric Radar and Two-Dimensional Video Disdrometers, J. Appl. Meteorol. Climatol., 59, 517–533, https://doi.org/10.1175/JAMC-D-18-0339.1, 2020.
Varble, A. C., Igel, A. L., Morrison, H., Grabowski, W. W., and Lebo, Z. J.: Opinion: A critical evaluation of the evidence for aerosol invigoration of deep convection, Atmos. Chem. Phys., 23, 13791–13808, https://doi.org/10.5194/acp-23-13791-2023, 2023.
Vongpaseut, I. and Barthe, C.: Distinct effects of several ice production processes on thunderstorm electrification and lightning activity, Atmos. Chem. Phys., 25, 14945–14965, https://doi.org/10.5194/acp-25-14945-2025, 2025.
Wang, Q., Li, Z., Guo, J., Zhao, C., and Cribb, M.: The climate impact of aerosols on the lightning flash rate: is it detectable from long-term measurements?, Atmos. Chem. Phys., 18, 12797–12816, https://doi.org/10.5194/acp-18-12797-2018, 2018.
Wang, X. and Zhang, R.: Effects of atmospheric circulations on the interannual variation in PM2.5 concentrations over the Beijing–Tianjin–Hebei region in 2013–2018, Atmos. Chem. Phys., 20, 7667–7682, https://doi.org/10.5194/acp-20-7667-2020, 2020.
Williams, E. R. and Stanfill, S.: The physical origin of the land-ocean contrast in lightning activity, C. R. Physique, 3, 1277–1292, https://doi.org/10.1016/S1631-0705(02)01407-X, 2002.
Williams, E. R., Mushtak, V., Rosenfeld, D., Goodman, S., and Boccippio, D.: Thermodynamic conditions favorable to superlative thunderstorm updraft, mixed phase microphysics and lightning flash rate, Atmos. Res., 76, 288–306, https://doi.org/10.1016/j.atmosres.2004.11.009, 2005.
Wisner, C., Orville, H. D., and Myers, C.: A Numerical Model of a Hail-Bearing Cloud, J. Atmos. Sci., 29, 1160–1181, https://doi.org/10.1175/1520-0469(1972)029<1160:ANMOAH>2.0.CO;2, 1972.
Yu, S., Luo, Y., Wu, C., Zheng, D., Liu, X., and Xu, W.: Convective and Microphsical Characteristics of Extreme Precipitation Revealed by Multisource Observations Over the Pearl River Delta at Monsoon Coast, Geophys. Res. Lett., 49, e2021GL097043, 2022.
Zhang, Y., Yan, M., Sun, A., and Guo, F.: Thunderstorm Electricity, China Meteorology Press, Beijing, 384 pp., ISBN 9787502947682, 2009.
Zhang, Z., Zheng, D., Zhang, Y., and Lu, G.: Spatial-temporal characteristics of lightning flash size in a supercell storm, Atmos. Res., 197, 201–210, https://doi.org/10.1016/j.atmosres.2017.06.029, 2017.
Zhao, C. H.: Data for “Physical Interpretation and Implications of Convective Impulses in Thunderstorms Based on Lightning and Polarimetric Radar Observations”, figshare [data set], https://doi.org/10.6084/m9.figshare.26779426.v6, 2024.
Zhao, C., Zhang, Y., Zhai, H., Li, Z., Zheng, D., Peng, X., Yao, W., Du, S., and Du, Y.: Bridging the polarimetric structure and lightning activity of isolated thunderstorm cells during the cloud life cycle , Atmos. Chem. Phys., 25, 13453–13473, https://doi.org/10.5194/acp-25-13453-2025, 2025.
Zhao, C., Zhang, Y., Zheng, D., Li, H., Du, S., Peng, X., Liu, X., Zhao, P., Zheng, J., and Shi, J.: Technical note: On the ice microphysics of isolated thunderstorms and non-thunderstorms in southern China – a radar polarimetric perspective, Atmos. Chem. Phys., 24, 11637–11651, https://doi.org/10.5194/acp-24-11637-2024, 2024a.
Zhao, C. F., Sun, Y., Yang, J., Li, J., Zhou, Y., Yang, Y., Fan, H., and Zhao, X.: Observational evidence and mechanisms of aerosol effects on precipitation, Sci. Bull., 69, 1569–1580, 2024b.
Zhao, C. H., Zheng, D., Zhang, Y. J., Liu, X., Zhang, Y., Yao, W., and Zhang, W.: Characteristics of cloud microphysics at positions with flash initiations and channels in convection and stratiform areas of two squall lines, J. Trop. Meteorol., 37, 358–369, https://doi.org/10.16032/j.issn.1004-4965.2021.035, 2021a.
Zhao, C. H., Zheng, D., Zhang, Y. J., Liu, X., Zhang, Y., Yao, W., and Zhang, W.: Turbulence Characteristics of Thunderstorms Before the First Flash in Comparison to Non-Thunderstorms, Geophys. Res. Lett., 48, e2021GL094821, https://doi.org/10.1029/2021GL094821, 2021b.
Zhao, C. H., Zhang, Y., Zheng, D., Liu, X., Zhang, Y., Fan, X., Yao, W., and Zhang, W.: Using Polarimetric Radar Observations to Characterize First Echoes of Thunderstorms and Nonthunderstorms: A Comparative Study, J. Geophys. Res.: Atmos., 127, e2022JD036671, https://doi.org/10.1029/2022JD036671, 2022.
Zhao, C. H., Zhang, Y. J., Zheng, D., Yao, W., and Du, S.: Potential Method for Warning the First Lightning Flash of Isolated Thunderstorm Cells over South China, Weather Forecast., 40, 105–115, https://doi.org/10.1175/WAF-D-23-0189.1, 2024c.
Zheng, D., Shi, D., Zhang, Y., Zhang, Y. J., Lyu, W., and Meng, Q.: Initial leader properties during the preliminary breakdown processes of lightning flashes and their associations with initiation positions, J. Geophys. Res.: Atmos., 124: 8025–8042, https://doi.org/10.1029/2019JD030300, 2019.
Zipser, E. J., Cecil, D. J., Liu, C., Nesbitt, S. W., and Yorty, D. P.: Where are the Most Intense Thunderstorms on Earth?, Bull. Am. Meteorol. Soc., 87, 1057–1072, https://doi.org/10.1175/BAMS-87-8-1057, 2006.
Short summary
In contrast to the relatively steady and vigorous convection observed in organized thunderstorms, convective impulses (CIs) within less organized, single-cell storms are inherently more challenging to predict. Here, a conceptual hypothesis is proposed to elucidate the physical mechanisms governing CI formation, supported by polarimetric radar and lightning observations and idealized numerical simulations. The results improve our knowledge of thunderstorm dynamics and microphysics.
In contrast to the relatively steady and vigorous convection observed in organized...
Altmetrics
Final-revised paper
Preprint