Articles | Volume 25, issue 21
https://doi.org/10.5194/acp-25-14945-2025
© Author(s) 2025. 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-25-14945-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Nov 2025
Research article |
| 06 Nov 2025
Distinct effects of several ice production processes on thunderstorm electrification and lightning activity
Inès Vongpaseut
CORRESPONDING AUTHOR
LAERO, Université de Toulouse, CNRS, UT3, IRD, Toulouse, France
Christelle Barthe
LAERO, Université de Toulouse, CNRS, UT3, IRD, Toulouse, France
Related authors
No articles found.
Juan Escobar, Philippe Wautelet, Joris Pianezze, Florian Pantillon, Thibaut Dauhut, Christelle Barthe, and Jean-Pierre Chaboureau
Geosci. Model Dev., 18, 2679–2700, https://doi.org/10.5194/gmd-18-2679-2025, https://doi.org/10.5194/gmd-18-2679-2025, 2025
Short summary
Short summary
The Meso-NH weather research code is adapted for GPUs using OpenACC, leading to significant performance and energy efficiency improvements. Called MESONH-v55-OpenACC, it includes enhanced memory management, communication optimizations and a new solver. On the AMD MI250X Adastra platform, it achieved up to 6× speedup and 2.3× energy efficiency gain compared to CPUs. Storm simulations at 100 m resolution show positive results, positioning the code for future use on exascale supercomputers.
Marie Taufour, Jean-Pierre Pinty, Christelle Barthe, Benoît Vié, and Chien Wang
Geosci. Model Dev., 17, 8773–8798, https://doi.org/10.5194/gmd-17-8773-2024, https://doi.org/10.5194/gmd-17-8773-2024, 2024
Short summary
Short summary
We have developed a complete two-moment version of the LIMA (Liquid Ice Multiple Aerosols) microphysics scheme. We have focused on collection processes, where the hydrometeor number transfer is often estimated in proportion to the mass transfer. The impact of these parameterizations on a convective system and the prospects for more realistic estimates of secondary parameters (reflectivity, hydrometeor size) are shown in a first test on an idealized case.
Cited articles
Albrecht, B. A.: Aerosols, Cloud Microphysics, and Fractional Cloudiness, Science, 245, 1227–1230, https://doi.org/10.1126/science.245.4923.1227, 1989. a
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, 2004JD005616, https://doi.org/10.1029/2004JD005616, 2005. a, b
Altaratz, O., Koren, I., Yair, Y., and Price, C.: Lightning response to smoke from Amazonian fires, Geophys. Res. Lett., 37, 2010GL042679, https://doi.org/10.1029/2010GL042679, 2010. a, b
Baker, B., Baker, M. B., Jayaratne, E. R., Latham, J., and Saunders, C. P. R.: The Influence of Diffusional Growth Rates On the Charge Transfer Accompanying Rebounding Collisions Between Ice Crystals and Soft Hailstones, Q. J. Roy. Meteor. Soc., 113, 1193–1215, https://doi.org/10.1002/qj.49711347807, 1987. a
Barthe, C. and Pinty, J.: Simulation of electrified storms with comparison of the charge structure and lightning efficiency, J. Geophys. Res.-Atmos., 112, 2006JD008241, https://doi.org/10.1029/2006JD008241, 2007a. a, b
Barthe, C. and Pinty, J.-P.: Simulation of a supercellular storm using a three-dimensional mesoscale model with an explicit lightning flash scheme, J. Geophys. Res.: Atmos., 112, https://doi.org/10.1029/2006JD007484, 2007b. a
Beheng, K. D.: Microphysical Properties of Glaciating Cumulus Clouds: Comparison of Measurements With A Numerical Simulation, Q. J. Roy. Meteor. Soc., 113, 1377–1382, https://doi.org/10.1002/qj.49711347815, 1987. a, b
Borys, R. D., Lowenthal, D. H., Cohn, S. A., and Brown, W. O. J.: Mountaintop and radar measurements of anthropogenic aerosol effects on snow growth and snowfall rate, Geophys. Res. Lett., 30, 2002GL016855, https://doi.org/10.1029/2002GL016855, 2003. a, b
Coquillat, S., Defer, E., de Guibert, P., Lambert, D., Pinty, J.-P., Pont, V., Prieur, S., Thomas, R. J., Krehbiel, P. R., and Rison, W.: SAETTA: high-resolution 3-D mapping of the total lightning activity in the Mediterranean Basin over Corsica, with a focus on a mesoscale convective system event, Atmos. Meas. Tech., 12, 5765–5790, https://doi.org/10.5194/amt-12-5765-2019, 2019. a
Dayeh, M. A., Farahat, A., Ismail-Aldayeh, H., and Abuelgasim, A.: Effects of aerosols on lightning activity over the Arabian Peninsula, Atmos. Res., 261, 105723, https://doi.org/10.1016/j.atmosres.2021.105723, 2021. a
Eadie, W. J.: A molecular theory of the homogeneous nucleation of ice from supercooled water, PhD thesis, The University of Chicago, 1971. a
Emersic, C. and Saunders, C.: 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. a
Emersic, C. and Saunders, C.: The influence of supersaturation at low rime accretion rates on thunderstorm electrification from field-independent graupel-ice crystal collisions, Atmos. Res., 242, 104962, https://doi.org/10.1016/j.atmosres.2020.104962, 2020. a, b
Ferrier, B. S.: A Double-Moment Multiple-Phase Four-Class Bulk Ice Scheme. Part I: Description, J. Atmos. Sci., 51, 249–280, https://doi.org/10.1175/1520-0469(1994)051<0249:ADMMPF>2.0.CO;2, 1994. a
Field, P. R., Lawson, R. P., Brown, P. R. A., Lloyd, G., Westbrook, C., Moisseev, D., Miltenberger, A., Nenes, A., Blyth, A., Choularton, T., Connolly, P., Buehl, J., Crosier, J., Cui, Z., Dearden, C., DeMott, P., Flossmann, A., Heymsfield, A., Huang, Y., Kalesse, H., Kanji, Z. A., Korolev, A., Kirchgaessner, A., Lasher-Trapp, S., Leisner, T., McFarquhar, G., Phillips, V., Stith, J., and Sullivan, S.: Chapter 7. Secondary Ice Production – current state of the science and recommendations for the future, Meteor. Mon., https://doi.org/10.1175/AMSMONOGRAPHS-D-16-0014.1, 2016. a
Fierro, A. O., Gilmore, M. S., Mansell, E. R., Wicker, L. J., and Straka, J. M.: Electrification and Lightning in an Idealized Boundary-Crossing Supercell Simulation of 2 June 1995, Mon. Wea. Rev., 134, 3149–3172, https://doi.org/10.1175/MWR3231.1, 2006. a, b
Fuchs, B. R., Rutledge, S. A., Bruning, E. C., Pierce, J. R., Kodros, J. K., Lang, T. J., MacGorman, D. R., Krehbiel, P. R., and Rison, W.: Environmental controls on storm intensity and charge structure in multiple regions of the continental United States, J. Geophys. Res.-Atmos., 120, 6575–6596, https://doi.org/10.1002/2015JD023271, 2015. a
Glassmeier, F., Arnold, L., Dietlicher, R., Paukert, M., and Lohmann, U.: A Modeling Study on the Sensitivities of Atmospheric Charge Separation According to the Relative Diffusional Growth Rate Theory to Nonspherical Hydrometeors and Cloud Microphysics, J. Geophys. Res.-Atmos., 123, https://doi.org/10.1029/2018JD028356, 2018. a
Grzegorczyk, P., Wobrock, W., Canzi, A., Niquet, L., Tridon, F., and Planche, C.: Investigating secondary ice production in a deep convective cloud with a 3D bin microphysics model: Part II – Effects on the cloud formation and development, Atmos. Res., 314, 107797, https://doi.org/10.1016/j.atmosres.2024.107797, 2025a. a, b, c, d, e, f
Grzegorczyk, P., Wobrock, W., Canzi, A., Niquet, L., Tridon, F., and Planche, C.: Investigating secondary ice production in a deep convective cloud with a 3D bin microphysics model: Part I – Sensitivity study of microphysical processes representations, Atmos. Res., 313, 107774, https://doi.org/10.1016/j.atmosres.2024.107774, 2025b. a
Gupta, A. K., Deshmukh, A., Waman, D., Patade, S., Jadav, A., Phillips, V. T. J., Bansemer, A., Martins, J. A., and Gonçalves, F. L. T.: The microphysics of the warm-rain and ice crystal processes of precipitation in simulated continental convective storms, Commun. Earth Environ., 4, 226, https://doi.org/10.1038/s43247-023-00884-5, 2023. a
Hallett, J. and Mossop, S. C.: Production of secondary ice particles during the riming process, Nature, 249, 26–28, https://doi.org/10.1038/249026a0, 1974. a
Helsdon Jr., J. H., Wojcik, W. A., and Farley, R. D.: An examination of thunderstorm-charging mechanisms using a two-dimensional storm electrification model, J. Geophys. Res.: Atmos., 106, 1165–1192, https://doi.org/10.1029/2000JD900532, 2001. a, b, c
Hoarau, T., Pinty, J.-P., and Barthe, C.: A representation of the collisional ice break-up process in the two-moment microphysics LIMA v1.0 scheme of Meso-NH, Geosci. Model Dev., 11, 4269–4289, https://doi.org/10.5194/gmd-11-4269-2018, 2018. a, b, c, d
Huang, S., Yang, J., Li, J., Chen, Q., Zhang, Q., and Guo, F.: Impact of secondary ice production on thunderstorm electrification under different aerosol conditions, Atmos. Chem. Phys., 25, 1831–1850, https://doi.org/10.5194/acp-25-1831-2025, 2025. a, b, c
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. a
Jayaratne, E. R., Saunders, C. P. R., and Hallett, J.: Laboratory studies of the charging of soft‐hail during ice crystal interactions, Q. J. Roy. Meteor. Soc., 109, 609–630, https://doi.org/10.1002/qj.49710946111, 1983. a
Kanji, Z. A., Ladino, L. A., Wex, H., Boose, Y., Burkert-Kohn, M., Cziczo, D. J., and Krämer, M.: Overview of Ice Nucleating Particles, Meteor. Mon., 58, 1.1–1.33, https://doi.org/10.1175/AMSMONOGRAPHS-D-16-0006.1, 2017. a
Klemp, J. B. and Wilhelmson, R. B.: The Simulation of Three-Dimensional Convective Storm Dynamics, J. Atmos. Sci., 35, 1070–1096, https://doi.org/10.1175/1520-0469(1978)035<1070:TSOTDC>2.0.CO;2, 1978. a
Korolev, A. and Leisner, T.: Review of experimental studies of secondary ice production, Atmos. Chem. Phys., 20, 11767–11797, https://doi.org/10.5194/acp-20-11767-2020, 2020. a
Kuhlman, K. M., Ziegler, C. L., Mansell, E. R., MacGorman, D. R., and Straka, J. M.: Numerically Simulated Electrification and Lightning of the 29 June 2000 STEPS Supercell Storm, Mon. Wea. Rev., 134, 2734–2757, https://doi.org/10.1175/MWR3217.1, 2006. a, b
Lac, C., Chaboureau, J.-P., Masson, V., Pinty, J.-P., Tulet, P., Escobar, J., Leriche, M., Barthe, C., Aouizerats, B., Augros, C., Aumond, P., Auguste, F., Bechtold, P., Berthet, S., Bielli, S., Bosseur, F., Caumont, O., Cohard, J.-M., Colin, J., Couvreux, F., Cuxart, J., Delautier, G., Dauhut, T., Ducrocq, V., Filippi, J.-B., Gazen, D., Geoffroy, O., Gheusi, F., Honnert, R., Lafore, J.-P., Lebeaupin Brossier, C., Libois, Q., Lunet, T., Mari, C., Maric, T., Mascart, P., Mogé, M., Molinié, G., Nuissier, O., Pantillon, F., Peyrillé, P., Pergaud, J., Perraud, E., Pianezze, J., Redelsperger, J.-L., Ricard, D., Richard, E., Riette, S., Rodier, Q., Schoetter, R., Seyfried, L., Stein, J., Suhre, K., Taufour, M., Thouron, O., Turner, S., Verrelle, A., Vié, B., Visentin, F., Vionnet, V., and Wautelet, P.: Overview of the Meso-NH model version 5.4 and its applications, Geosci. Model Dev., 11, 1929–1969, https://doi.org/10.5194/gmd-11-1929-2018, 2018. a, b
Lawson, R. P., Woods, S., and Morrison, H.: The Microphysics of Ice and Precipitation Development in Tropical Cumulus Clouds, J. Atmos. Sci., 72, 2429–2445, https://doi.org/10.1175/JAS-D-14-0274.1, 2015. a
Leisner, T., Pander, T., Handmann, P., and Kiselev, A.: Secondary ice processes upon heterogeneous freezing of cloud droplets, 14th Conf. on Cloud Physics and Atmospheric Radiation, Amer. Meteor. Soc, Boston, https://ams.confex.com/ams/14CLOUD14ATRAD/webprogram/Paper250221.html (last access: 12 December 2024), 2014. a
Leroy, D., Wobrock, W., and Flossmann, A. I.: The role of boundary layer aerosol particles for the development of deep convective clouds: A high-resolution 3D model with detailed (bin) microphysics applied to CRYSTAL-FACE, Atmos. Res., 91, 62–78, https://doi.org/10.1016/j.atmosres.2008.06.001, 2009. a
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.: Atmos., 110, 2004JD005287, https://doi.org/10.1029/2004JD005287, 2005. a, b
Marshall, T. C., McCarthy, M. P., and Rust, W. D.: Electric field magnitudes and lightning initiation in thunderstorms, J. Geophys. Res.-Atmos., 100, 7097–7103, https://doi.org/10.1029/95JD00020, 1995. a
Naccarato, K. P., Pinto Jr., O., and Pinto, I. R. C. A.: Evidence of thermal and aerosol effects on the cloud-to-ground lightning density and polarity over large urban areas of Southeastern Brazil, Geophys. Res. Lett., 30, https://doi.org/10.1029/2003GL017496, 2003. a
Norville, K., Baker, M., and Latham, J.: A numerical study of thunderstorm electrification: Model development and case study, J. Geophys. Res.: Atmos., 96, 7463–7481, https://doi.org/10.1029/90JD02577, 1991. a
Pereyra, R. G., Avila, E. E., Castellano, N. E., and Saunders, C. P. R.: A laboratory study of graupel charging, J. Geophys. Res. Atmos., 105, 20803–20812, https://doi.org/10.1029/2000JD900244, 2000. a
Phillips, V. T. J. 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. a, b, c
Phillips, V. T. J., Donner, L. J., and Garner, S. T.: Nucleation Processes in Deep Convection Simulated by a Cloud-System-Resolving Model with Double-Moment Bulk Microphysics, J. Atmos. Sci., 64, 738–761, https://doi.org/10.1175/JAS3869.1, 2007. a
Phillips, V. T. J., DeMott, P. J., and Andronache, C.: An Empirical Parameterization of Heterogeneous Ice Nucleation for Multiple Chemical Species of Aerosol, J. Atmos. Sci., 65, 2757–2783, https://doi.org/10.1175/2007JAS2546.1, 2008. a, b
Phillips, V. T. J., Demott, P. J., Andronache, C., Pratt, K. A., Prather, K. A., Subramanian, R., and Twohy, C.: Improvements to an Empirical Parameterization of Heterogeneous Ice Nucleation and Its Comparison with Observations, J. Atmos. Sci., 70, 378–409, https://doi.org/10.1175/JAS-D-12-080.1, 2013. a
Phillips, V. T. J., Yano, J.-I., Formenton, M., Ilotoviz, E., Kanawade, V., Kudzotsa, I., Sun, J., Bansemer, A., Detwiler, A. G., Khain, A., and Tessendorf, S. A.: Ice Multiplication by Breakup in Ice–Ice Collisions. Part II: Numerical Simulations, J. Atmos. Sci., 74, 2789–2811, https://doi.org/10.1175/JAS-D-16-0223.1, 2017a. a
Phillips, V. T. J., Yano, J.-I., and Khain, A.: Ice Multiplication by Breakup in Ice–Ice Collisions. Part I: Theoretical Formulation, J. Atmos. Sci., 74, 1705–1719, https://doi.org/10.1175/JAS-D-16-0224.1, 2017b. a
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. a
Pinty, J. P. and Jabouille, P.: A mixed-phase cloud parameterization for use in mesoscale non hydrostatic model: simulations of a squall line and of orographic precipitations, in: Proceedings of Conf. on Cloud Physics, Amer. Meteor. Soc Everett, WA, 217–220, https://worldcat.org/oclc/39920280 (last access: 10 January 2025), 1998. a
Proestakis, E., Kazadzis, S., Lagouvardos, K., Kotroni, V., and Kazantzidis, A.: Lightning activity and aerosols in the Mediterranean region, Atmos. Res., 170, 66–75, https://doi.org/10.1016/j.atmosres.2015.11.010, 2016. a, b
Qu, Z., Korolev, A., Milbrandt, J. A., Heckman, I., Huang, Y., McFarquhar, G. M., Morrison, H., Wolde, M., and Nguyen, C.: The impacts of secondary ice production on microphysics and dynamics in tropical convection, Atmos. Chem. Phys., 22, 12287–12310, https://doi.org/10.5194/acp-22-12287-2022, 2022. a
Reynolds, S. E., Brook, M., and Gourley, M. F.: Thunderstorm charge separation, J. Atmos. Sci., 14, 426–436, https://doi.org/10.1175/1520-0469(1957)014<0426:TCS>2.0.CO;2, 1957. a
Rose, C., Collaud Coen, M., Andrews, E., Lin, Y., Bossert, I., Lund Myhre, C., Tuch, T., Wiedensohler, A., Fiebig, M., Aalto, P., Alastuey, A., Alonso-Blanco, E., Andrade, M., Artíñano, B., Arsov, T., Baltensperger, U., Bastian, S., Bath, O., Beukes, J. P., Brem, B. T., Bukowiecki, N., Casquero-Vera, J. A., Conil, S., Eleftheriadis, K., Favez, O., Flentje, H., Gini, M. I., Gómez-Moreno, F. J., Gysel-Beer, M., Hallar, A. G., Kalapov, I., Kalivitis, N., Kasper-Giebl, A., Keywood, M., Kim, J. E., Kim, S.-W., Kristensson, A., Kulmala, M., Lihavainen, H., Lin, N.-H., Lyamani, H., Marinoni, A., Martins Dos Santos, S., Mayol-Bracero, O. L., Meinhardt, F., Merkel, M., Metzger, J.-M., Mihalopoulos, N., Ondracek, J., Pandolfi, M., Pérez, N., Petäjä, T., Petit, J.-E., Picard, D., Pichon, J.-M., Pont, V., Putaud, J.-P., Reisen, F., Sellegri, K., Sharma, S., Schauer, G., Sheridan, P., Sherman, J. P., Schwerin, A., Sohmer, R., Sorribas, M., Sun, J., Tulet, P., Vakkari, V., van Zyl, P. G., Velarde, F., Villani, P., Vratolis, S., Wagner, Z., Wang, S.-H., Weinhold, K., Weller, R., Yela, M., Zdimal, V., and Laj, P.: Seasonality of the particle number concentration and size distribution: a global analysis retrieved from the network of Global Atmosphere Watch (GAW) near-surface observatories, Atmos. Chem. Phys., 21, 17185–17223, https://doi.org/10.5194/acp-21-17185-2021, 2021. a
Rosenfeld, D.: TRMM observed first direct evidence of smoke from forest fires inhibiting rainfall, Geophys. Res. Lett., 26, 3105–3108, https://doi.org/10.1029/1999GL006066, 1999. a
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. a
Saunders, C. P. R. and Brooks, I. M.: The effects of high liquid water content on thunderstorm charging, J. Geophys. Res.-Atmos., 97, 14671–14676, https://doi.org/10.1029/92JD01186, 1992. a
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. a, b, c, d
Saunders, C. P. R., Keith, W. D., and Mitzeva, R. P.: The effect of liquid water on thunderstorm charging, J. Geophys. Res.: Atmos., 96, 11007–11017, https://doi.org/10.1029/91JD00970, 1991. a
Saunders, C. P. R., Bax-Norman, H., Emersic, C., Avila, E. E., and Castellano, N. E.: Laboratory studies of the effect of cloud conditions on graupel/crystal charge transfer in thunderstorm electrification, Q. J. R. Meteorol. Soc., 132, 2653–2673, https://doi.org/10.1256/qj.05.218, 2006. a
Seifert, A. and Beheng, K. D.: A two-moment cloud microphysics parameterization for mixed-phase clouds. Part 1: Model description, Meteor. Atmos. Phys., 92, 45–66, https://doi.org/10.1007/s00703-005-0112-4, 2006. a
Shi, Z., Wang, H., Tan, Y., Li, L., and Li, C.: Influence of aerosols on lightning activities in central eastern parts of China, Atmos. Sci. Lett., 21, e957, https://doi.org/10.1002/asl.957, 2020. a, b
Skamarock, W. C., Powers, J. G., Barth, M., Dye, J. E., Matejka, T., Bartels, D., Baumann, K., Stith, J., Parrish, D. D., and Hubler, G.: Numerical simulations of the July 10 Stratospheric‐Tropospheric Experiment: Radiation, Aerosols, and Ozone/Deep Convection Experiment convective system: Kinematics and transport, J. Geophys. Res.-Atmos., 105, 19973–19990, https://doi.org/10.1029/2000JD900179, 2000. a, b
Straka, J. M. and Mansell, E. R.: A Bulk Microphysics Parameterization with Multiple Ice Precipitation Categories, J. Appl. Meteor., 44, 445–466, https://doi.org/10.1175/JAM2211.1, 2005. a
Sullivan, S. C., Hoose, C., Kiselev, A., Leisner, T., and Nenes, A.: Initiation of secondary ice production in clouds, Atmos. Chem. Phys., 18, 1593–1610, https://doi.org/10.5194/acp-18-1593-2018, 2018. a, b, c, d
Sun, M., Liu, D., Qie, X., Mansell, E. R., Yair, Y., Fierro, A. O., Yuan, S., Chen, Z., and Wang, D.: Aerosol effects on electrification and lightning discharges in a multicell thunderstorm simulated by the WRF-ELEC model, Atmos. Chem. Phys., 21, 14141–14158, https://doi.org/10.5194/acp-21-14141-2021, 2021. a, b, c, d, e
Sun, M., Qie, X., Mansell, E. R., Liu, D., Yair, Y., Fierro, A. O., Yuan, S., and Lu, J.: Aerosol Impacts on Storm Electrification and Lightning Discharges Under Different Thermodynamic Environments, J. Geophys. Res. Atmos., 128, e2022JD037450, https://doi.org/10.1029/2022JD037450, 2023. a
Takahashi, C.: Deformations of Frozen Water Drops and Their Frequencies, J. Meteorol. Soc. Jpn. Ser. II, 53, 402–411, https://doi.org/10.2151/jmsj1965.53.6_402, 1975. a
Takahashi, T.: Thunderstorm Electrification – A Numerical Study, J. Atmos. Sci., 41, 2541–2558, https://doi.org/10.1175/1520-0469(1984)041<2541:TENS>2.0.CO;2, 1984. a, b
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. a, b
Taufour, M., Pinty, J.-P., Barthe, C., Vié, B., and Wang, C.: LIMA (v2.0): A full two-moment cloud microphysical scheme for the mesoscale non-hydrostatic model Meso-NH v5-6, Geosci. Model Dev., 17, 8773–8798, https://doi.org/10.5194/gmd-17-8773-2024, 2024. a
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. a
Tsenova, B., Barthe, C., Mitzeva, R., and Pinty, J.-P.: Impact of parameterizations of ice particle charging based on rime accretion rate and effective water content on simulated with MésoNH thunderstorm charge distributions, Atmos. Res., 128, 85–97, https://doi.org/10.1016/j.atmosres.2013.03.011, 2013. a, b, c
van den Heever, S. C., Carrió, G. G., Cotton, W. R., DeMott, P. J., and Prenni, A. J.: Impacts of Nucleating Aerosol on Florida Storms. Part I: Mesoscale Simulations, J. Atmos. Sci., 63, 1752–1775, https://doi.org/10.1175/JAS3713.1, 2006. a, b, c
Vardiman, L.: The Generation of Secondary Ice Particles in Clouds by Crystal–Crystal Collision, J. Atmos. Sci., 35, 2168–2180, https://doi.org/10.1175/1520-0469(1978)035<2168:TGOSIP>2.0.CO;2, 1978. a
Vongpaseut, I. and Barthe, C.: Distinct effects of several ice production processes on thunderstorm electrification and lightning activity, Zenodo [code], https://doi.org/10.5281/zenodo.17475498, 2025. a
Wang, H., Tan, Y., Shi, Z., Yang, N., and Zheng, T.: Diurnal differences in the effect of aerosols on cloud-to-ground lightning in the Sichuan Basin, Atmos. Chem. Phys., 23, 2843–2857, https://doi.org/10.5194/acp-23-2843-2023, 2023. a
Yang, J., Huang, S., Yang, T., Zhang, Q., Deng, Y., and Liu, Y.: Impact of ice multiplication on the cloud electrification of a cold-season thunderstorm: a numerical case study, Atmos. Chem. Phys., 24, 5989–6010, https://doi.org/10.5194/acp-24-5989-2024, 2024. a, b, c
Yang, Y., Sun, J., Zhu, Y., and Zhang, T.: Examination of the impacts of ice nuclei aerosol particles on microphysics, precipitation and electrification in a 1.5D aerosol-cloud bin model, J. Aerosol Sci., 140, 105440, https://doi.org/10.1016/j.jaerosci.2019.105440, 2020. a, b, c
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. a
Zhao, X. and Liu, X.: Primary and secondary ice production: interactions and their relative importance, Atmos. Chem. Phys., 22, 2585–2600, https://doi.org/10.5194/acp-22-2585-2022, 2022. a, b
Ziegler, C. L., MacGorman, D. R., Dye, J. E., and Ray, P. S.: A model evaluation of noninductive graupel‐ice charging in the early electrification of a mountain thunderstorm, J. Geophys. Res.-Atmos., 96, 12833–12855, https://doi.org/10.1029/91JD01246, 1991. a
Short summary
Three idealized storms that differ by their cloud base temperature were simulated in order to assess the impact of ice production on cloud electrical activity. Ice production is impacted by aerosols that either can form cloud droplets or ice crystals and processes that form ice crystals from pre-existing cloud particles. All those processes can interact and affect the electrical activity and differently according to the cloud conditions.
Three idealized storms that differ by their cloud base temperature were simulated in order to...
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