Articles | Volume 24, issue 10
https://doi.org/10.5194/acp-24-5989-2024
© Author(s) 2024. 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-24-5989-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 May 2024
Research article |
| 24 May 2024
| 24 May 2024
Impact of ice multiplication on the cloud electrification of a cold-season thunderstorm: a numerical case study
Jing Yang
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory, Precision Regional Earth Modeling and Information Center (PRMIC), Nanjing University of Information Science and Technology, Nanjing, 210044, China
China Meteorological Administration Key Laboratory of Cloud-Precipitation Physics and Weather Modification (CPML), Beijing, 100081, China
Shiye Huang
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory, Precision Regional Earth Modeling and Information Center (PRMIC), Nanjing University of Information Science and Technology, Nanjing, 210044, China
Tianqi Yang
Nanjing Meteorological Bureau, Nanjing, 210019, China
Qilin Zhang
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory, Precision Regional Earth Modeling and Information Center (PRMIC), Nanjing University of Information Science and Technology, Nanjing, 210044, China
Yuting Deng
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory, Precision Regional Earth Modeling and Information Center (PRMIC), Nanjing University of Information Science and Technology, Nanjing, 210044, China
Yubao Liu
CORRESPONDING AUTHOR
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory, Precision Regional Earth Modeling and Information Center (PRMIC), Nanjing University of Information Science and Technology, Nanjing, 210044, China
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Cited articles
Altaratz, O., Reisin, T., and Levin, Z.: Simulation of the electrification of winter thunderclouds using the three-dimensional regional atmospheric modeling system (RAMS) model: Single cloud simulations, J. Geophys. Res.-Atmos., 110, D20, https://doi.org/10.1029/2004JD005616, 2005.
Böhm, J. P.: A general hydrodynamic theory for mixed-phase microphysics. Part II: collision kernels for coalescence, Atmos. Res., 27, 275–290, https://doi.org/10.1016/0169-8095(92)90036-A, 1992a.
Böhm, J. P.: A general hydrodynamic theory for mixed-phase microphysics. Part III: Riming and aggregation, Atmos. Res., 28, 103–123, https://doi.org/10.1016/0169-8095(92)90023-4, 1992b.
Brook, M.: Breakdown electric fields in winter storms, Journal of Atmospheric Electricity, 12, 47–52, https://doi.org/10.1541/jae.12.47, 1992.
Brooks, I. M., Saunders, C. P. R., Mitzeva, R. P., and Peck, S. L.: The effect on thunderstorm charging of the rate of rime accretion by graupel, Atmos. Res., 43, 277–295, https://doi.org/10.1016/S0169-8095(96)00043-9, 1997.
Caicedo, J. A., Uman, M. A., and Pilkey, J. T.: Lightning evolution in two North Central Florida summer multicell storms and three winter/spring frontal storms, J. Geophys. Res.-Atmos., 123, 1155–1178, https://doi.org/10.1002/2017JD026536, 2018.
Deshmukh, A., Phillips, V. T. J., Bansemer, A., Patade, S., and Waman, D.: New Empirical Formulation for the Sublimational Breakup of Graupel and Dendritic Snow, J. Atmos. Sci., 79, 317–336, https://doi.org/10.1175/JAS-D-20-0275.1, 2022.
Dong, Y., Oraltay, R. G., and Hallett, J.: Ice particle generation during evaporation, Atmos. Res., 32, 45–53, https://doi.org/10.1016/0169-8095(94)90050-7, 1994.
Emersic, C. and Saunders, C. P. R.: Further laboratory investigations into the relative diffusional growth rate theory of thunderstorm electrification, Atmos. Res., 98, 327–340, https://doi.org/10.1016/j.atmosres.2010.07.011, 2010.
Fan, J., Leung, L. R., Li, Z., Morrison, H., Chen, H., Zhou, Y., Qian, Y., and Wang, Y.: Aerosol impacts on clouds and precipitation in eastern China: Results from bin and bulk microphysics, J. Geophys. Res., 117, D00K36, https://doi.org/10.1029/2011JD016537, 2012.
Fierro, A. O., Mansell, E. R., MacGorman, D. R., and Ziegler, C. L.: The Implementation of an Explicit Charging and Discharge Lightning Scheme within the WRF-ARW Model: Benchmark Simulations of a Continental Squall Line, a Tropical Cyclone, and a Winter Storm, Mon. Weather Rev., 141, 2390–2415, https://doi.org/10.1175/MWR-D-12-00278.1, 2013.
Gautam, M.: Fragmentation in graupel snow collisions. Master of Science dissertation, Dept of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden, http://lup.lub.lu.se/student-papers/record/9087233 (last access: 18 June 2023), 2022.
Guo, F., Li, Y., Huang, Z., Wang, M., Zeng, F., Lian, C., and Mu, Y.: Numerical simulation of 23 June 2016 Yancheng City EF4 tornadic supercell and analysis of lightning activity, Science China Earth Sciences, 60, 2204–2213, https://doi.org/10.1007/s11430-017-9109-8, 2017.
Hallett, J. and Mossop, S. C.: Production of secondary ice particles during the riming process, Nature, 249, 26–28, https://doi.org/doi:10.1038/249026a0, 1974.
Heymsfield, A. and Willis, P.: Cloud conditions favoring secondary ice particle production in tropical maritime convection, J. Atmos. Sci., 71, 4500–4526, https://doi.org/10.1175/JAS-D-14-0093.1, 2014.
Hong, S.-Y., Noh, Y., and Dudhia, J.: A New Vertical Diffusion Package with an Explicit Treatment of Entrainment Processes, Mon. Weather Rev., 134, 2318–2341, https://doi.org/10.1175/MWR3199.1, 2006.
Huang, Y., Wu, W., McFarquhar, G. M., Xue, M., Morrison, H., Milbrandt, J., Korolev, A. V., Hu, Y., Qu, Z., Wolde, M., Nguyen, C., Schwarzenboeck, A., and Heckman, I.: Microphysical processes producing high ice water contents (HIWCs) in tropical convective clouds during the HAIC-HIWC field campaign: dominant role of secondary ice production, Atmos. Chem. Phys., 22, 2365–2384, https://doi.org/10.5194/acp-22-2365-2022, 2022.
James, R. L., Phillips, V. T. J., and Connolly, P. J.: Secondary ice production during the break-up of freezing water drops on impact with ice particles, Atmos. Chem. Phys., 21, 18519–18530, https://doi.org/10.5194/acp-21-18519-2021, 2021.
Jiménez, P. A., Dudhia, J., González-Rouco, J. F., Navarro, J., Montávez, J. P., and García-Bustamante, E.: A Revised Scheme for the WRF Surface Layer Formulation, Mon. Weather Rev., 140, 898–918, https://doi.org/10.1175/MWR-D-11-00056.1, 2012.
Jing, X., Yang, J., Li, T., Hu, J., He, C., Yin, Y., DeMott, P. J., Wang, Z., Jiang, H., Chen, K.: Pre-activation of ice nucleating particles in deposition nucleation mode: Evidence from measurement using a static vacuum water vapor diffusion chamber in Xinjiang, China, Geophys. Res. Lett., 49, e2022GL099468, https://doi.org/10.1029/2022GL099468, 2022.
Karalis, M., Sotiropoulou, G., Abel, S. J., Bossioli, E., Georgakaki, P., Methymaki, G., Nenes, A., and Tombrou, M.: Effects of secondary ice processes on a stratocumulus to cumulus transition during a cold-air outbreak, Atmos. Res., 277, 106302, https://doi.org/10.1016/j.atmosres.2022.106302, 2022.
Khain, A. P. and Sednev, I. L.: Simulation of hydrometeor size spectra evolution by water-water, ice-water and ice-ice interactions, Atmos. Res., 36, 107–138, https://doi.org/10.1016/0169-8095(94)00030-H, 1995.
Khain, A., Pinsky, M., Shapiro, M., and Pokrovsky, A.: Collision Rate of Small Graupel and Water Drops, J. Atmos. Sci., 58, 2571–2595, https://doi.org/10.1175/1520-0469(2001)058<2571:CROSGA>2.0.CO;2, 2001.
Khain, A., Pokrovsky, A., Pinsky, M., Seifert, A., and Phillips, V.: Simulation of Effects of Atmospheric Aerosols on Deep Turbulent Convective Clouds Using a Spectral Microphysics Mixed-Phase Cumulus Cloud Model. Part I: Model Description and Possible Applications, J. Atmos. Sci., 61, 2963–2982, https://doi.org/10.1175/JAS-3350.1, 2004.
Khain, A. P., Beheng, K. D., Heymsfield, A., Korolev, A., Krichak, S. O., Levin, Z., Pinsky, M., Phillips, V., Prabhakaran, T., Teller, A., van den Heever, S. C., and Yano, J.-I.: Representation of microphysical processes in cloud-resolving models: Spectral (bin) microphysics versus bulk parameterization: BIN VS BULK, Rev. Geophys., 53, 247–322, https://doi.org/10.1002/2014RG000468, 2015.
King, W. D. and Fletcher, N. H.: Pressures and stresses in freezing water drops, J. Phys. D, 6, 2157–2173, https://doi.org/10.1088/0022-3727/6/18/302, 1973.
Korolev, A. and Leisner, T.: Review of experimental studies of secondary ice production. Atmospheric Chemistry and Physics, 20, 11767–11797, https://doi.org/10.5194/acp-20-11767-2020, 2020.
Korolev, A., Heckman, I., Wolde, M., Ackerman, A. S., Fridlind, A. M., Ladino, L. A., Lawson, R. P., Milbrandt, J., and Williams, E.: A new look at the environmental conditions favorable to secondary ice production, Atmos. Chem. Phys., 20, 1391–1429, https://doi.org/10.5194/acp-20-1391-2020, 2020.
Latham, J., Blyth, A. M., Christian, H. J., Deierling, W., and Gadian, A. M.: Determination of precipitation rates and yields from lightning measurements, J. Hydrol., 288, 13–19, https://doi.org/10.1016/j.jhydrol.2003.11.009, 2004.
Lauber, A., Kiselev, A., Pander, T., Handmann, P., and Leisner, T.: Secondary Ice Formation during Freezing of Levitated Droplets, J. Atmos. Sci., 75, 2815–2826, https://doi.org/10.1175/JAS-D-18-0052.1, 2018.
Li, J., Dai, B., Zhou, J., Zhang, J., Zhang, Q., Yang, J., Wang, Y., Gu, J., Hou, W., Zou, B., and Li, J.: Preliminary Application of Long-Range Lightning Location Network with Equivalent Propagation Velocity in China, Remote Sens.-Basel, 14, 560, https://doi.org/10.3390/rs14030560, 2022.
Lyu, W., Zheng, D., Zhang, Y., Yao, W., Jiang, R., Yuan, S., Liu, D., Lyu, F., Zhu, B., Lu, G., and Zhang, Q.: A Review of Atmospheric Electricity Research in China from 2019 to 2022, Adv. Atmos. Sci., 40, 1457–1484, https://doi.org/10.1007/s00376-023-2280-x, 2023.
Mansell, E. R., Ziegler, C. L., and Bruning, E. C.: Simulated electrification of a small thunderstorm with two-moment bulk microphysics, J. Atmos. Sci., 67, 171–194, https://doi.org/10.1175/2009JAS2965.1, 2010.
Michimoto, K.: A study of radar echoes and their relation to lightning discharge of thunderclouds in the Hokuriku district Part I: Observation and analysis of thunderclouds in summer and winter, J. Meteorol. Soc. Jpn. Ser. II, 69, 327–336, https://doi.org/10.2151/jmsj1965.69.3_327, 1991.
Mansell, E. R., MacGorman, D. R., Ziegler, C. L., and Straka, J. M.: Charge structure and lightning sensitivity in a simulated multicell thunderstorm, J. Geophys. Res., 110, D12101, https://doi.org/10.1029/2004JD005287, 2005.
Mlawer, E. J., Taubman, S. J., Brown, P. D., Iacono, M. J., and Clough, S. A.: Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave, J. Geophys. Res.-Atmos., 102, 16663–16682, https://doi.org/10.1029/97JD00237, 1997.
Moore, C. B.: Rebound limits on charge separation by falling precipitation, J. Geophys. Res., 80, 2658–2662, https://doi.org/10.1029/JC080i018p02658, 1975.
NCAR MMM: Weather Research & Forecasting Model (WRF), UCAR [software], https://www2.mmm.ucar.edu/wrf/users/download/get_source.html (last access: 15 March 2023), 2023.
Phillips, V. T. and Patade, S.: Multiple Environmental Influences on the Lightning of Cold-Based Continental Convection. Part II: Sensitivity Tests for Its Charge Structure and Land–Ocean Contrast, J. Atmos. Sci., 79, 263–300, https://doi.org/10.1175/JAS-D-20-0234.1, 2022.
Phillips, V. T. J., Yano, J.-I., Khain, A.: Ice Multiplication by Breakup in Ice-Ice Collisions. Part I: Theoretical Formulation, J. Atmos. Sci., https://doi.org/10.1175/JAS-D-16-0224.1, 2017.
Phillips, V. T. J., Patade, S., Gutierrez, J., and Bansemer, A.: Secondary Ice Production by Fragmentation of Freezing Drops: Formulation and Theory, J. Atmos. Sci., 75, 3031–3070, https://doi.org/10.1175/JAS-D-17-0190.1, 2018.
Phillips, V. T., Formenton, M., Kanawade, V. P., Karlsson, L. R., Patade, S., Sun, J., Barthe, C., Pinty, J. P., Detwiler, A. G., Lyu, W., and Tessendorf, S. A.: Multiple environmental influences on the lightning of cold-based continental cumulonimbus clouds. Part I: Description and validation of model, J. Atmos. Sci., 77, 3999–4024, https://doi.org/10.1175/JAS-D-19-0200.1, 2020.
Qie, X. S. and Zhang, Y. J.: A review of atmospheric electricity research in China from 2011 to 2018, Adv. Atmos. Sci., 36, 994–1014, https://doi.org/10.1007/s00376-019-8195-x, 2019..
Qie, X., Zhang, Y., Yuan, T., Zhang, Q., Zhang, T., Zhu, B., Lu, W., Ma, M., Yang, J., Zhou, Y., and Feng, G.: A review of atmospheric electricity research in China, Adv. Atmos. Sci., 32, 169–191, https://doi.org/10.1007/s00376-014-0003-z, 2015.
Saunders, C. P. R. and Peck, S. L.: Laboratory studies of the influence of the rime accretion rate on charge transfer during crystal/graupel collisions, J. Geophys. Res.-Atmos., 103, 13949–13956, https://doi.org/10.1029/97JD02644, 1998.
Saunders, C. P. R., Peck, S. L., Aguirre Varela, G. G., Avila, E. E., and Castellano, N. E.: A laboratory study of the influence of water vapour on the charge transfer process during collisions between ice crystals and graupel, Atmos. Res., 58, 187–203, https://doi.org/10.1016/S0169-8095(01)00090-4, 2001.
Shi, Z., Tan, Y. B., Tang, H. Q., Sun, J., Yang, Y., Peng, L., and Guo, X. F.: Aerosol effect on the land-ocean contrast in thunderstorm electrification and lightning frequency, Atmos. Res., 164–165, 131–141, https://doi.org/10.1016/j.atmosres.2015.05.006., 2015.
Sotiropoulou, G., Vignon, É., Young, G., Morrison, H., O'Shea, S. J., Lachlan-Cope, T., Berne, A., and Nenes, A.: Secondary ice production in summer clouds over the Antarctic coast: an underappreciated process in atmospheric models, Atmos. Chem. Phys., 21, 755–771, https://doi.org/10.5194/acp-21-755-2021, 2021.
Takahashi, T.: A numerical simulation of winter cumulus electrification. Part I: Shallow cloud, J. Atmos. Sci., 40, pp.1257-1280, https://doi.org/10.1175/1520-0469(1983)040<1257:ANSOWC>2.0.CO;2, 1983.
Takahashi, T. and Miyawaki, K.: Reexamination of riming electrification in a wind tunnel, J. Atmos. Sci., 59, 1018–1025, https://doi.org/10.1175/1520-0469(2002)059<1018:ROREIA>2.0.CO;2, 2002.
Takahashi, T., Nagao, Y., and Kushiyama, Y.: Possible High Ice Particle Production during Graupel–Graupel Collisions, J. Atmos. Sci., 52, 4523–4527, https://doi.org/10.1175/1520-0469(1995)052<4523:PHIPPD>2.0.CO;2, 1995.
Takahashi, T., Tajiri, T., and Sonoi, Y.: Charges on graupel and snow crystals and the electrical structure of winter thunderstorms, J. Atmos. Sci., 56, 1561–1578, https://doi.org/10.1175/1520-0469(1999)056<1561:COGASC>2.0.CO;2, 1999.
Takahashi, T., Sugimoto, S., Kawano, T., and Suzuki, K.: Riming Electrification in Hokuriku Winter Clouds and Comparison with Laboratory Observations, J. Atmos. Sci., 74, 431–447, https://doi.org/10.1175/JAS-D-16-0154.1, 2017.
Takahashi, T., Sugimoto, S., Kawano, T., and Suzuki, K.: Microphysical structure and lightning initiation in Hokuriku winter clouds, J. Geophys. Res.-Atmos., 124, 13,156–13,181, https://doi.org/10.1029/2018JD030227, 2019.
Tewari, M., Chen, F., Wang, W., Dudhia, J., LeMone, M. A., Mitchell, K., Ek, M., Gayno, G., Wegiel, J., and Cuenca, R. H.: Implementation and verification of the unified NOAH land surface model in the WRF model, 20th Conference on Weather Analysis and Forecasting/16th Conference on Numerical Weather Prediction, 12–16 January 2004, American Meteorological Society, Seattle, WA, US, 11–15, 2004.
Waman, D., Patade, S., Jadav, A., Deshmukh, A., Gupta, A. K., Phillips, V. T. J., Bansemer, A., and Demott, P. J.: Dependencies of Four Mechanisms of Secondary Ice Production on Cloud-Top Temperature in a Continental Convective Storm, J. Atmos. Sci., 79, 3375–3404, https://doi.org/10.1175/JAS-D-21-0278.1, 2022.
Wang, D., Zheng, D., Wu, T., and Takagi, N.: Winter positive cloud-to-ground lightning flashes observed by LMA in Japan, IEEJ T. Electr. Electr., 16, 402–411, https://doi.org/10.1002/tee.23310, 2021.
Xu, L. T., Zhang, Y. J., Wang, F., and Cao, X.: Simulation of inverted charge structure formation in convective regions of mesoscale convective system, J. Meteorol. Soc. Japan, 97, 1119–1135, https://doi.org/10.2151/jmsj.2019-062, 2019.
Yang, J.: Impact of ice multiplication on the cloud electrification of cold-season thunderstorm: a numerical case study, Zenodo [data set], https://doi.org/10.5281/zenodo.8371845, 2023.
Yang, J., Wang, Z., Heymsfield, A., and Luo, T.: Liquid-ice mass partition in tropical maritime convective clouds, J. Atmos. Sci., 73, 4959–4978, https://doi.org/10.1175/JAS-D-15-0145.1, 2016.
Yang, J., Wang, Z., Heymsfield, A. J., DeMott, P. J., Twohy, C. H., Suski, K. J., and Toohey, D. W.: High Ice Concentration Observed in Tropical Maritime Stratiform Mixed-Phase Clouds with Top Temperatures Warmer than −8 °C, Atmos. Res., 233, 104719, https://doi.org/10.1016/j.atmosres.2019.104719, 2020..
Yano, J.-I., and Phillips, V. T. J.: Ice–Ice Collisions: An Ice Multiplication Process in Atmospheric Clouds, J. Atmos. Sci., 68, 322–333, https://doi.org/10.1175/2010JAS3607.1, 2011.
Zhang, Y., Lü, W., Chen, S., Zheng, D., Zhang, Y., Yan, X., Chen, L., Dong, W., Dan, J., and Pan, H.: A review of advances in lightning observations during the past decade in Guangdong, China. J. Meteor. Res., 30, 800–819, https://doi.org/10.1007/s13351-016-6928-7, 2016.
Zheng, D., Wang, D., Zhang, Y., Wu, T., and Takagi, N.: Charge regions indicated by LMA lightning flashes in Hokuriku's winter thunderstorms, J. Geophys. Res.-Atmos., 124, 7179–7206, https://doi.org/10.1029/2018JD030060, 2019.
Short summary
This study contributes to filling the dearth of understanding the impacts of different secondary ice production (SIP) processes on the cloud electrification in cold-season thunderstorms. The results suggest that SIP, especially the rime-splintering process and the shattering of freezing drops, has significant impacts on the charge structure of the storm. In addition, the modeled radar composite reflectivity and flash rate are improved after implementing the SIP processes in the model.
This study contributes to filling the dearth of understanding the impacts of different secondary...
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