Articles | Volume 24, issue 19
https://doi.org/10.5194/acp-24-11285-2024
© 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-24-11285-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Oct 2024
Research article |
| 10 Oct 2024
| 10 Oct 2024
Effect of secondary ice production processes on the simulation of ice pellets using the Predicted Particle Properties microphysics scheme
Mathieu Lachapelle
CORRESPONDING AUTHOR
Centre pour l'étude et la simulation du climat à l'échelle régionale (ESCER), Department of Earth and Atmospheric Sciences, Université du Québec à Montréal, Montréal, Quebec, Canada
Flight Research Laboratory, National Research Council Canada, Ottawa, Ontario, Canada
Mélissa Cholette
Meteorological Research Division, Environment and Climate Change Canada, Dorval, Quebec, Canada
Julie M. Thériault
Centre pour l'étude et la simulation du climat à l'échelle régionale (ESCER), Department of Earth and Atmospheric Sciences, Université du Québec à Montréal, Montréal, Quebec, Canada
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Cited articles
Barklie, R. H. D. and Gokhale, N.: The freezing of supercooled water drops, McGill University, Stormy Weather Group, Scientific Report MW-30, Part III, 43–64, 1959.
Bélair, S., Crevier, L.-P., Mailhot, J., Bilodeau, B., and Delage, Y.: Operational Implementation of the ISBA Land Surface Scheme in the Canadian Regional Weather Forecast Model. Part I: Warm Season Results, J. Hydrometeorol., 4, 352–370, https://doi.org/10.1175/1525-7541(2003)4<352:OIOTIL>2.0.CO;2, 2003.
Bélair, S., Mailhot, J., Girard, C., and Vaillancourt, P.: Boundary Layer and Shallow Cumulus Clouds in a Medium-Range Forecast of a Large-Scale Weather System, Mon. Weather Rev., 133, 1938–1960, https://doi.org/10.1175/MWR2958.1, 2005.
Bigg, E. K.: The supercooling of water, Proc. Phys. Soc. B, 66, 688–694, https://doi.org/10.1088/0370-1301/66/8/309, 1953.
Brooks, C. F.: THE NATURE OF SLEET AND HOW IT IS FORMED, Mon. Weather Rev., 48, 69–72, https://doi.org/10.1175/1520-0493(1920)48<69b:TNOSAH>2.0.CO;2, 1920.
Cholette, M., Morrison, H., Milbrandt, J. A., and Thériault, J. M.: Parameterization of the Bulk Liquid Fraction on Mixed-Phase Particles in the Predicted Particle Properties (P3) Scheme: Description and Idealized Simulations, J. Atmos. Sci., 76, 561–582, https://doi.org/10.1175/JAS-D-18-0278.1, 2019.
Cholette, M., Milbrandt, J. A., Morrison, H., Paquin-Ricard, D., and Jacques, D.: Combining Triple-Moment Ice With Prognostic Liquid Fraction in the P3 Microphysics Scheme: Impacts on a Simulated Squall Line, J. Adv. Model. Earth Sy., 15, e2022MS003328, https://doi.org/10.1029/2022MS003328, 2023.
Cholette, M., Milbrandt, J. A., Morrison, H., Kirk, S., and Lalonde, L.-É.: Secondary Ice Production Improves Simulations of Freezing Rain, Geophys. Res. Lett., 51, e2024GL108490, https://doi.org/10.1029/2024GL108490, 2024.
Cooper, W. A.: Ice Initiation in Natural Clouds, in: Precipitation Enhancement—A Scientific Challenge, edited by: Braham, R. R., Cooper, W. A., Cotton, W. R., Elliot, R. D., Flueck, J. A., Fritsch, J. M., Gagin, A., Grant, L. O., Heymsfield, A. J., Hill, G. E., Isaac, G. A., Marwitz, J. D., Orville, H. D., Rangno, A. L., Silverman, B. A., and Smith, P. L., American Meteorological Society, Boston, MA, https://doi.org/10.1007/978-1-935704-17-1_4, 29–32, 1986.
Côté, J., Gravel, S., Méthot, A., Patoine, A., Roch, M., and Staniforth, A.: The Operational CMC–MRB Global Environmental Multiscale (GEM) Model. Part I: Design Considerations and Formulation, Mon. Weather Rev., 126, 1373–1395, https://doi.org/10.1175/1520-0493(1998)126<1373:TOCMGE>2.0.CO;2, 1998.
Dedekind, Z., Grazioli, J., Austin, P. H., and Lohmann, U.: Heavy snowfall event over the Swiss Alps: did wind shear impact secondary ice production?, Atmos. Chem. Phys., 23, 2345–2364, https://doi.org/10.5194/acp-23-2345-2023, 2023.
Duchesne, A.: Verglas: 1998 c. 2023: Deux catastrophes, deux réalités, La Presse, 7 April 2023, Montréal, Québec, Canada, 2023.
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.: Secondary Ice Production: Current State of the Science and Recommendations for the Future, Meteorol. Monogr., 58, 7.1-7.20, https://doi.org/10.1175/AMSMONOGRAPHS-D-16-0014.1, 2017.
Georgakaki, P., Sotiropoulou, G., Vignon, É., Billault-Roux, A.-C., Berne, A., and Nenes, A.: Secondary ice production processes in wintertime alpine mixed-phase clouds, Atmos. Chem. Phys., 22, 1965–1988, https://doi.org/10.5194/acp-22-1965-2022, 2022.
Girard, C., Plante, A., Desgagné, M., McTaggart-Cowan, R., Côté, J., Charron, M., Gravel, S., Lee, V., Patoine, A., Qaddouri, A., Roch, M., Spacek, L., Tanguay, M., Vaillancourt, P. A., and Zadra, A.: Staggered Vertical Discretization of the Canadian Environmental Multiscale (GEM) Model Using a Coordinate of the Log-Hydrostatic-Pressure Type, Mon. Weather Rev., 142, 1183–1196, https://doi.org/10.1175/MWR-D-13-00255.1, 2014.
Green, S. D.: The Icemaster Database and an Analysis of Aircraft Aerodynamic Icing Accidents and Incidents, technical report, https://trid.trb.org/View/1402001 (last access: 8 October 2024), 2015.
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.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J. N.: The ERA5 global reanalysis, Q. J. Roy. Meteor. Soc., 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020.
Hogan, A. W.: Is sleet a contact nucleation phenomenon?, 42nd Eastern Snow Conference, Montreal, Québec, Canada, 292–294, https://www.easternsnow.org/esc-1985 (last access: 8 October 2024), 1985.
Hydro-Québec: Hydro-Québec fait le point sur les pannes d'électricité, http://nouvelles.hydroquebec.com/fr/communiques-de-presse/1941/hydro-quebec-fait-le-point-sur-les-pannes-delectricite last access: 2 October 2024.
Kanji, Z. A., Ladino, L. A., Wex, H., Boose, Y., Burkert-Kohn, M., Cziczo, D. J., and Krämer, M.: Overview of Ice Nucleating Particles, Meteorol. Monogr., 58, 1.1–1.33, https://doi.org/10.1175/AMSMONOGRAPHS-D-16-0006.1, 2017.
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.
Keinert, A., Spannagel, D., Leisner, T., and Kiselev, A.: Secondary Ice Production upon Freezing of Freely Falling Drizzle Droplets, J. Atmos. Sci., 77, 2959–2967, https://doi.org/10.1175/JAS-D-20-0081.1, 2020.
Kleinheins, J., Kiselev, A., Keinert, A., Kind, M., and Leisner, T.: Thermal Imaging of Freezing Drizzle Droplets: Pressure Release Events as a Source of Secondary Ice Particles, J. Atmos. Sci., 78, 1703–1713, https://doi.org/10.1175/JAS-D-20-0323.1, 2021.
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.
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.
Kumjian, M. R., Tobin, D. M., Oue, M., and Kollias, P.: Microphysical insights into Ice pellet formation revealed by fully polarimetric Ka-band doppler radar, J. Appl. Meteorol. Clim., 59, 1557–1580, https://doi.org/10.1175/JAMC-D-20-0054.1, 2020.
Lachapelle, M. and Thériault, J. M.: Characteristics of precipitation particles and microphysical processes during the 11–12 January 2020 ice pellet storm in the Montréal area, Québec, Canada, Mon. Weather Rev., 1043–1059, https://doi.org/10.1175/mwr-d-21-0185.1, 2022.
Lachapelle, M., Thériault, J. M., and Thompson, H. D.: Observation data for four ice pellet events, Borealis, V1 [data set], https://doi.org/10.5683/SP3/TGS5HU, 2023.
Lachapelle, M., Thompson, H. D., Leroux, N. R., and Thériault, J. M.: Measuring Ice Pellets and Refrozen Wet Snow Using a Laser-Optical Disdrometer, J. Appl. Meteorol. Clim., 63, 65–84, https://doi.org/10.1175/JAMC-D-22-0202.1, 2024.
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.
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.
Lawson, R. P., Korolev, A. V., DeMott, P. J., Heymsfield, A. J., Bruintjes, R. T., Wolff, C. A., Woods, S., Patnaude, R. J., Jensen, J. B., Moore, K. A., Heckman, I., Rosky, E., Haggerty, J., Perkins, R. J., Fisher, T., and Hill, T. C. J.: The Secondary Production of Ice in Cumulus Experiment (SPICULE), B. Am. Meteorol. Soc., 104, E51–E76, https://doi.org/10.1175/BAMS-D-21-0209.1, 2023.
McCray, C. D., Paquin, D., Thériault, J. M., and Bresson, É.: A Multi-Algorithm Analysis of Projected Changes to Freezing Rain Over North America in an Ensemble of Regional Climate Model Simulations, J. Geophys. Res.-Atmos., 127, e2022JD036935, https://doi.org/10.1029/2022JD036935, 2022.
Milbrandt, J. A. and Morrison, H.: Parameterization of cloud microphysics based on the prediction of bulk ice particle properties. Part III: Introduction of multiple free categories, J. Atmos. Sci., 73, 975–995, https://doi.org/10.1175/JAS-D-15-0204.1, 2016.
Milbrandt, J. A., Bélair, S., Faucher, M., Vallée, M., Carrera, M. L., and Glazer, A.: The Pan-Canadian High Resolution (2.5 km) Deterministic Prediction System, Weather Forecast., 31, 1791–1816, https://doi.org/10.1175/WAF-D-16-0035.1, 2016.
Milbrandt, J. A., Morrison, H., Ii, D. T. D., and Paukert, M.: A Triple-Moment Representation of Ice in the Predicted Particle Properties (P3) Microphysics Scheme, J. Atmos. Sci., 78, 439–458, https://doi.org/10.1175/JAS-D-20-0084.1, 2021.
Mironov, D., Heise, E., Kourzeneva, E., Ritter, B., Schneider, N., and Terzhevik, A.: Implementation of the lake parameterisation scheme FLake into the numerical weather prediction model COSMO, Boreal Environ. Res., 15, 218–230, 2010.
Morrison, H. and Milbrandt, J. A.: Parameterization of Cloud Microphysics Based on the Prediction of Bulk Ice Particle Properties. Part I: Scheme Description and Idealized Tests, J. Atmos. Sci., 72, 287–311, https://doi.org/10.1175/JAS-D-14-0065.1, 2015.
Mossop, S. C.: concentrations of ice crystals in clouds, B. Am. Meteorol. Soc., 51, 474–480, https://doi.org/10.1175/1520-0477(1970)051<0474:COICIC>2.0.CO;2, 1970.
Mossop, S. C. and Hallett, J.: Ice Crystal Concentration in Cumulus Clouds: Influence of the Drop Spectrum, Science, 186, 632–634, https://doi.org/10.1126/science.186.4164.632, 1974.
Musil, D. J.: Computer Modeling of Hailstone Growth in Feeder Clouds, J. Atmos. Sci., 27, 474–482, https://doi.org/10.1175/1520-0469(1970)027<0474:CMOHGI>2.0.CO;2, 1970.
Petters, M. D. and Wright, T. P.: Revisiting ice nucleation from precipitation samples, Geophys. Res. Lett., 42, 8758–8766, https://doi.org/10.1002/2015GL065733, 2015.
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.
Pruppacher, H. R. and Klett, J. D.: Microphysics of Clouds and Precipitation, Springer Netherlands, Dordrecht, https://doi.org/10.1007/978-0-306-48100-0, 2010.
Public Safety Canada: Canadian Disaster Database, https://cdd.publicsafety.gc.ca/ (last access: 2 October 2024), 2013.
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.
Roebber, P. J.: Visualizing Multiple Measures of Forecast Quality, Weather Forecast., 24, 601–608, https://doi.org/10.1175/2008WAF2222159.1, 2009.
Seidel, J. S., Kiselev, A., Keinert, A., Stratmann, F., Leisner, T., and Hartmann, S.: Secondary Ice Production – No Evidence of Efficient Rime-Splintering Mechanism, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-2891, 2023.
Smith, A., Lott, N., and Vose, R.: The Integrated Surface Database: Recent Developments and Partnerships, B. Am. Meteorol. Soc., 92, 704–708, https://doi.org/10.1175/2011BAMS3015.1, 2011.
Sotiropoulou, G., Sullivan, S., Savre, J., Lloyd, G., Lachlan-Cope, T., Ekman, A. M. L., and Nenes, A.: The impact of secondary ice production on Arctic stratocumulus, Atmos. Chem. Phys., 20, 1301–1316, https://doi.org/10.5194/acp-20-1301-2020, 2020.
Stewart, R. E.: Canadian Atlantic Storms Program: Progress and Plans of the Meteorological Component, B. Am. Meteorol. Soc., 72, 364–371, https://doi.org/10.1175/1520-0477(1991)072<0364:CASPPA>2.0.CO;2, 1991.
Stewart, R. E. and Crawford, R. W.: Some characteristics of the precipitation formed within winter storms over eastern Newfoundland, Atmos. Res., 36, 17–37, https://doi.org/10.1016/0169-8095(94)00004-W, 1995.
Sullivan, S. C., Barthlott, C., Crosier, J., Zhukov, I., Nenes, A., and Hoose, C.: The effect of secondary ice production parameterization on the simulation of a cold frontal rainband, Atmos. Chem. Phys., 18, 16461–16480, https://doi.org/10.5194/acp-18-16461-2018, 2018.
Thériault, J. M., Stewart, R. E., and Henson, W.: Impacts of terminal velocity on the trajectory of winter precipitation types, Atmos. Res., 116, 116–129, https://doi.org/10.1016/j.atmosres.2012.03.008, 2012.
Thompson, G., Rasmussen, R. M., and Manning, K.: Explicit Forecasts of Winter Precipitation Using an Improved Bulk Microphysics Scheme. Part I: Description and Sensitivity Analysis, Mon. Weather Rev., 132, 519–542, 2004.
Tobin, D. M., Kumjian, M. R., and Black, A. W.: Effects of precipitation type on crash relative risk estimates in Kansas, Accident. Anal. Prev., 151, 105946, https://doi.org/10.1016/j.aap.2020.105946, 2021.
Zerr, R. J.: Freezing Rain: An Observational and Theoretical Study, J. Appl. Meteorol., 36, 1647–1661, https://doi.org/10.1175/1520-0450(1997)036<1647:FRAOAT>2.0.CO;2, 1997.
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.
Zhao, X., Liu, X., Phillips, V. T. J., and Patade, S.: Impacts of secondary ice production on Arctic mixed-phase clouds based on ARM observations and CAM6 single-column model simulations, Atmos. Chem. Phys., 21, 5685–5703, https://doi.org/10.5194/acp-21-5685-2021, 2021.
Short summary
Hazardous precipitation types such as ice pellets and freezing rain are difficult to predict because they are associated with complex microphysical processes. Using Predicted Particle Properties (P3), this work shows that secondary ice production processes increase the amount of ice pellets simulated while decreasing the amount of freezing rain. Moreover, the properties of the simulated precipitation compare well with those that were measured.
Hazardous precipitation types such as ice pellets and freezing rain are difficult to predict...
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