Abshaev, M. T., Abshaev, A. M., and Malkarova, A. M.: Results of 65-Years Project of Hail Suppression in Russian Federation, in: Physics of the Atmosphere, Climatology and Environmental Monitoring, edited by: Zakinyan, R. and Zakinyan, A., Springer Proceedings in Earth and Environmental Sciences, Springer, Cham, https://doi.org/10.1007/978-3-031-19012-4_1, 2023.
Brooks, H. E., Lee, J. W., and Craven, J. P.: The spatial distribution of severe thunderstorm and tornado environments from global reanalysis data, Atmos. Res., 67–68, 73–94, https://doi.org/10.1016/S0169-8095(03)00045-0, 2003.
Brülisauer, M., Papaevangelou, N., and Lohmann, U.: Simulations of selective seeding on hailstorms in northern Switzerland using the COSMO model: Effects on the Lightning Potential Index, J. Appl. Meteorol. Clim., 64, 1293–1305, https://doi.org/10.1175/JAMC-D-24-0129.1, 2025.
Ćurić, M., Janc, D., and Vučković, V.: Seeding agent dispersion within convective cloud as simulated by a 3-D numerical model, Meteorol. Atmos. Phys., 92, 205–216, https://doi.org/10.1007/s00703-005-0159-2, 2006.
Ćurić, M., Janc, D., and Vučković, V.: Cloud seeding impact on precipitation as revealed by cloud-resolving mesoscale model, Meteorol. Atmos. Phys., 95, 179–193, https://doi.org/10.1007/s00703-006-0202-y, 2007.
Ćurić, M., Janc, D., and Vučković, V.: Precipitation change from a cumulonimbus cloud downwind of a seeded target area, J. Geophys. Res., 113, D11215, https://doi.org/10.1029/2007JD009483, 2008.
Ćurić, M., Janc, D., Vučković, V., and Kovačević, N.: An inadvertent transport of the seeding material as a result of cloud modification, Meteorol. Atmos. Phys., 105, 157–165, https://doi.org/10.1007/s00703-009-0040-9, 2009.
DeMott, P. J.: A characterization of mixed silver iodide–silver chloride ice nuclei, M. S. thesis, Department of Atmospheric Science, Colorado State University, Fort Collins, CO, USA, 124 pp.,
https://api.mountainscholar.org/server/api/core/bitstreams/e4e157ca-8ac2-4f9a-912e-7d2ec2e69f6a/content (last access: 9 November 2026), 1982.
DeMott, P. J.: Quantitative descriptions of ice formation mechanisms of silver iodide-type aerosols, Atmos. Res., 38, 63–99, https://doi.org/10.1016/0169-8095(94)00088-U, 1995.
Dessens, J., Sánchez, J. L., Berthet, C., Hermida, L., and Merino, A.: Hail prevention by ground-based silver iodide generators: Results of historical and modern field projects, Atmos. Res., 170, 98–111, https://doi.org/10.1016/j.atmosres.2015.11.008, 2016.
Garstang, M., Bruintjes, R., Serafin, R., Orville, H., Boe, B., Cotton, W., and Warburton, J.: Weather modification: Finding common ground, B. Am. Meteorol. Soc., 86, 647–655, https://doi.org/10.1175/BAMS-86-5-647, 2005.
Gillett, K. J.: SounderPy: An atmospheric sounding visualization and analysis tool for Python, J. Open Source Softw., 10, 8087, https://doi.org/10.21105/joss.08087, 2025.
Guichard, F. and Couvreux, F.: A short review of numerical cloud-resolving models. Tellus A, 69, https://doi.org/10.1080/16000870.2017.1373578, 2017.
Khain, A., Ovtchinnikov, M., Pinsky, M., Pokrovsky, A., and Krugliak, H.: Notes on the state-of-the-art numerical modeling of cloud microphysics, Atmos. Res., 55, 159–224, https://doi.org/10.1016/S0169-8095(00)00064-8, 2000.
Kovačević, N.: Hail suppression effectiveness for varying solubility of natural aerosols in water, Meteorol. Atmos. Phys., 131, 585–599, https://doi.org/10.1007/s00703-018-0587-4,2019.
Kovačević, N.: Hail suppression effectiveness for different cloud condensation nucleus (CCN) populations in continental and maritime environments, Aerosol Sci. Tech., 57, 645–664, https://doi.org/10.1080/02786826.2023.2208182, 2023.
Loftus, A. M.: A triple-moment bulk hail microphysics scheme to investigate the sensitivities of hail to aerosols, PhD thesis, Colorado State University, https://doi.org/10.25675/3.024409, 2012.
Lompar, M., Ćurić, M., Romanic, D., Zou, L., and Liang, H.: Precipitation enhancement by cloud seeding using the shell structured
TiO2/NaCl aerosol as revealed by new model for cloud seeding experiments, Atmos. Res., 212, 202–212, https://doi.org/10.1016/j.atmosres.2018.05.021, 2018.
Marcolli, C., Nagare, B., Welti, A., and Lohmann, U.: Ice nucleation efficiency of AgI: review and new insights, Atmos. Chem. Phys., 16, 8915–8937, https://doi.org/10.5194/acp-16-8915-2016, 2016.
Mesinger, F. and Mesinger, N.: Has hail suppression in eastern Yugoslavia led to a reduction in the frequency of hail?, J. Appl. Meteorol., 31, 104–111, https://doi.org/10.1175/1520-0450(1992)031<0104:HHSIEY>2.0.CO;2, 1992.
Milbrandt, J. A. and Yau, M. K.: A multimoment bulk microphysics parameterization. Part I: Analysis of the role of the spectral shape parameter, J. Atmos. Sci., 62, 3051–3064, https://doi.org/10.1175/JAS3534.1, 2005a.
Milbrandt, J. A. and Yau, M. K.: A multimoment bulk microphysics parameterization. Part II: A proposed three-moment closure and scheme description, J. Atmos. Sci., 62, 3065–3081, https://doi.org/10.1175/JAS3535.1, 2005b.
Milbrandt, J. A. and Yau, M. K.: A multimoment bulk microphysics parameterization. Part III: Control simulation of a hailstorm, J. Atmos. Sci., 63, 3114–3136, https://doi.org/10.1175/JAS3816.1, 2006a.
Milbrandt, J. A. and Yau, M. K.: A multimoment bulk microphysics parameterization. Part IV: Sensitivity experiments, J. Atmos. Sci., 63, 3137–3159, https://doi.org/10.1175/JAS3817.1, 2006b.
Miller, A. J., Fuchs, C., Ramelli, F., Zhang, H., Omanovic, N., Spirig, R., Marcolli, C., Kanji, Z. A., Lohmann, U., and Henneberger, J.: Quantified ice-nucleating ability of AgI-containing seeding particles in natural clouds, Atmos. Chem. Phys., 25, 5387–5407, https://doi.org/10.5194/acp-25-5387-2025, 2025.
Morrison, H., van Lier-Walqui, M., Fridlind, A. M., Grabowski, W. W., Harrington, J. Y., Hoose, C., Korolev, A., Kumjian, M. R., Milbrandt, J. A., Pawlowska, H., Posselt, D. J., Prat, O. P., Reimel, K. J., Shima, S.-I., van Diedenhoven, B., and Xue, L.: Confronting the challenge of modeling cloud and precipitation microphysics, J. Adv. Model. Earth Sy., 12, e2019MS001689, https://doi.org/10.1029/2019MS001689, 2020.
Noda, A. and Niino, H.: Critical grid size for simulating convective storms: A case study of the Del City supercell storm, Geophys. Res. Lett., 30, https://doi.org/10.1029/2003GL017498, 2003.
Omanovic, N., Ferrachat, S., Fuchs, C., Henneberger, J., Miller, A. J., Ohneiser, K., Ramelli, F., Seifert, P., Spirig, R., Zhang, H., and Lohmann, U.: Evaluating the Wegener–Bergeron–Findeisen process in ICON in large-eddy mode with in situ observations from the CLOUDLAB project, Atmos. Chem. Phys., 24, 6825–6844, https://doi.org/10.5194/acp-24-6825-2024, 2024.
Papaevangelou, N., Villanueva, D., Eirund, G. K., Chen, J., Dedekind, Z., and Lohmann, U.: Simulations of selective seeding of hailstorms – A summertime case study over Switzerland, J. Appl. Meteorol. Clim., 64, 1509–1524, 2025.
Papaevangelou, N., Villanueva, D., and Lohmann, U.: Impact of cloud seeding on simulated hailstorms and its dependence on CAPE, wind shear, and tracking thresholds, Atmos. Chem. Phys., 26, 9393–9412, https://doi.org/10.5194/acp-26-9393-2026, 2026.
Rauber, R. M., Geerts, B., Xue, L., French, J., Friedrich, K., Rasmussen, R. M., Tessendorf, S. A., Blestrud, D. R., Kunkel, M. L., and Parkinson, S.: Wintertime orographic cloud seeding: a review, J. Appl. Meteorol. Clim., 58, 2117–2140, https://doi.org/10.1175/JAMC-D-18-0341.1, 2019.
Ray, P. S., Johnson, L. R., Priegnitz, D. L., Boe, B. A., and Mielke, P. W.: The morphology of several tornadic storms on 20 May 1977, J. Atmos. Sci., 38, 1643–1663, 1981.
Savić, D., Vučković, V., and Vujović, D.: Numerical model data for publication “Explicit Numerical Simulations of Hailstorm Seeding with a Three–Moment Microphysics Cloud–Resolving Model: A Comparison of Two Operational Methodologies for Hail Suppression” [Part 1], Harvard Dataverse [data set], V1, https://doi.org/10.7910/DVN/YP1DOH, 2026a.
Savić, D., Vučković, V., and Vujović, D.: Numerical model data for publication “Explicit Numerical Simulations of Hailstorm Seeding with a Three–Moment Microphysics Cloud–Resolving Model: A Comparison of Two Operational Methodologies f
or Hail Suppression” [Part 2], Harvard Dataverse [data set], V1, https://doi.org/10.7910/DVN/N8EVZR, 2026b.
Schaefer, V. J.: The production of ice crystals in a cloud of supercooled water droplets, Science, 104, 457–459, https://doi.org/10.1126/science.104.2707.457, 1946.
Simeonov, P.: An overview of crop hail damage and evaluation of hail suppression efficiency in Bulgaria, J. Appl. Meteorol., 35, 1574–1581, https://doi.org/10.1175/1520-0450(1996)035<1574:AOOCHD>2.0.CO;2, 1996.
Smith, P. L., Johnson, L. R., Priegnitz, D. L., Boe, B. A., and Mielke, P. W.: An exploratory analysis of crop hail insurance data for evidence of cloud seeding effects in North Dakota, J. Appl. Meteorol., 36, 463–473, https://doi.org/10.1175/1520-0450(1997)036<0463:AEAOCH>2.0.CO;2, 1997.
Straka, J. M.: Cloud and Precipitation Microphysics, Cambridge University Press, 407 pp., ISBN 978-0-511-58084-0, 2009.
Ursu, A., Istrate, V., Jitariu, V., and Lazăr, I. L.: Hail damage detection: Integrating Sentinel-2 images with weather radar hail kinetic energy, Remote Sens.-Basel, 17, 3850, https://doi.org/10.3390/rs17233850, 2025.
Vonnegut, B.: The nucleation of ice formation by silver iodide, J. Appl. Phys., 18, 593–595, https://doi.org/10.1063/1.1697813, 1947.
Vučković, V.: Numerical simulation of seeding of convective clouds, Ph.D. thesis, Department of Meteorology, Faculty of Physics, University of Belgrade, Belgrade, Serbia, 108 pp.,
https://haos.ff.bg.ac.rs/nastava/radovi/ddvladan.pdf (last access: 9 November 2026), 2003 (in Serbian).
Vučković, V., Vujović, D., and Jovanović, A.: Aerosol parameterisation in a three-moment microphysical scheme: Numerical simulation of submicron-sized aerosol scavenging, Atmos. Res., 273, 106148, https://doi.org/10.1016/j.atmosres.2022.106148, 2022.
Vučković, V., Vujović, D., and Savić, D.: Influence of electrostatic collection on scavenging of submicron-sized aerosols by cloud droplets and raindrops, Aerosol Sci. Tech., 57, 1154–1173, https://doi.org/10.1080/02786826.2023.2251551, 2023.
Vučković, V., Vujović, D., Savić, D., and Filipović, L.: Impact of electro-collection and ice nucleation on aerosol scavenging, Aerosol Sci. Tech., 59, 1006–1026, 2025a.
Vučković, V., Vujović, D., Savić, D., and Filipović, L.: The effect of electrocollection by ice hydrometeors on the scavenging of submicron-sized aerosol particles, Atmosphere-Basel, 16, 1265, https://doi.org/10.3390/atmos16111265, 2025b.
Vujović, D., Vučinić, Z., and Babić, Z.: 40 Years of Hail Suppression in Serbia, 9th WMO Scientific Conference on Weather Modification and Weather Modification Workshop, Antalya, Turkey, no. 1406, 2007.
Wang, X., Zhang, L., and Moran, M. D.: Uncertainty assessment of current size-resolved parameterizations for below-cloud particle scavenging by rain, Atmos. Chem. Phys., 10, 5685–5705, https://doi.org/10.5194/acp-10-5685-2010, 2010.
World Meteorological Organization: WMO statement on weather modification,
https://wmo.int/content/wmo-statement-weather-modification (last access: 4 March 2026), 2025.
Xue, M., Droegemeier, K. K., and Wong, V.: The Advanced Regional Prediction System (ARPS) – A multiscale nonhydrostatic atmospheric simulation and prediction tool. Part I: Model dynamics and verification, Meteorol. Atmos. Phys., 75, 161–193, 2000.
Xue, M., Droegemeier, K. K., Wong, V., Shapiro, A., Brewster, K., Carr, F., Weber, D., Liu, Y., and Wang, D.: The Advanced Regional Prediction System (ARPS) – Part II: Model physics and applications, Meteorol. Atmos. Phys., 76, 143–165, 2001.
Xue, L., Hashimoto, A., Murakami, M., Rasmussen, R., Tessendorf, S. A., Breed, D., Parkinson, S., Holbrook, P., and Blestrud, D.: Implementation of a silver iodide cloud-seeding parameterization in WRF. Part I: Model description and idealized 2D sensitivity tests, J. Appl. Meteorol. Clim., 52, 1433–1457, https://doi.org/10.1175/JAMC-D-12-0148.1, 2013a.
Xue, L., Tessendorf, S. A., Nelson, E., Rasmussen, R., Breed, D., Parkinson, S., Holbrook, P., and Blestrud, D.: Implementation of a silver iodide cloud-seeding parameterization in WRF. Part II: 3D simulations of actual seeding events and sensitivity tests, J. Appl. Meteorol. Clim., 52, 1458–1476, https://doi.org/10.1175/JAMC-D-12-0149.1, 2013b.
Young, K. C.: Microphysical processes in clouds, Oxford University Press, New York, 427 pp., ISBN 0195075633, 1993.
Zalesak, S. T.: Fully multidimensional flux-corrected transport algorithms for fluids, J. Comput. Phys., 31, 335–362, 1979.
Zhang, L., Wang, X., Moran, M. D., and Feng, J.: Review and uncertainty assessment of size-resolved scavenging coefficient formulations for below-cloud snow scavenging of atmospheric aerosols, Atmos. Chem. Phys., 13, 10005–10025, https://doi.org/10.5194/acp-13-10005-2013, 2013.
