ACP Atmospheric Chemistry and Physics ACP 1680-7324 Copernicus GmbH Göttingen, Germany 10.5194/acp-12-5677-2012 Effect of bacterial ice nuclei on the frequency and intensity of lightning activity inferred by the BRAMS model Gonçalves F. L. T. 1 Martins J. A. 2 Albrecht R. I. 3 Morales C. A. 1 Silva Dias M. A. 1 Morris C. E. 4 Dept. of Atmospheric Sciences, IAG/USP/Brazil, Rua do Matão 1226, 05508090, São Paulo, SP, Brazil Universidade Tecnológica Federal do Paraná, 86036-370, Londrina, PR, Brazil DSA/CPTEC, Instituto Nacional de Pesquisas Espaciais, Cachoeira Paulista, SP, Brazil INRA, UR407 Pathologie Végétale, 84140 Montfavet, France 02 07 2012 12 13 5677 5689 This is an open-access article ditributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. This article is available from http://www.atmos-chem-phys.net/12/5677/2012/acp-12-5677-2012.html The full text article is available as a PDF file from http://www.atmos-chem-phys.net/12/5677/2012/acp-12-5677-2012.pdf

Many studies from the last decades have shown that airborne microorganisms can be intrinsically linked to atmospheric processes. Certain bacteria may constitute the most active ice nuclei found in the atmosphere and might have some influence on the formation of ice crystals in clouds. This study deals with the ice nucleation activity of <i>Pseudomonas syringae</i> inside of thunderstorms through numerical simulations using BRAMS (<i>Brazilian Regional Atmospheric Model System</i>). The numerical simulations were developed in order to investigate the effect on the total amount of rainwater as a function of ice nuclei (IN) <i>P. syringae</i> concentrations with different scenarios (classified as S2 to S4 scenarios) corresponding to a maximum of 10<sup>2</sup> to 10<sup>4</sup> IN bacteria per liter of cloud water plus the BRAMS default (classified as S5 scenario). Additionally, two other scenarios were included without any IN (S1) and the sum of RAMS default and S4 scenario (classified as S6). The chosen radiosonde data is for 3 March 2003, typical summertime in São Paulo City which presents a strong convective cell. The objective of the simulations was to analyze the effect of the IN concentrations on the BRAMS modeled cloud properties and precipitation. The simulated electrification of the cloud permitted analysis of the total flashes estimated from precipitable and non-precipitable ice mass fluxes in two different lightning frequencies. Among all scenarios, only S4 and S6 presented a tendency to decrease the total cloud water, and all bacteria scenarios presented a tendency to decrease the total amount of rain (−8%), corroborating other reports in the literature. All bacteria scenarios also present higher precipitable ice concentrations compared to S5 scenario, the RAMS default. The main results present the total flash number per simulation as well. From the results, the total flash numbers, from both lightning frequencies, in S4 and S6 scenarios, are from 3.1 to 3.7 higher than the BRAMS default. Even the lower bacterial concentrations (scenarios S2 and S3) produced 3 time higher number of flashes, compared to S5 scenario. This result is a function of the hydrometeors in each simulation. In conclusion, IN bacteria could affect directly the thunderstorm structure and lightning formation with many other microphysical implications.

 References Albrecht, R. I.: Electrification of precipitating systems over the Amazon: Physical and dynamical processes of thunderstorm development, Ph.D. Dissertation, University of Sao Paulo, Sao Paulo, Brazil, 2008 (in Portuguese). Albrecht, R. I., Morales, C. A., and Silva Dias, M. A. F.: One dimension cloud model with electrification scheme: The dependence of the CCNS on the development of the electrical charge center, Proc. 15th International Conference on Clouds and Precipitation, Cancun, Mexico, 2008. 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., 110, D20205, http://dx.doi.org/10.1029/2004JD005616doi:10.1029/2004JD005616, 2005. Amato, P., Menager, M., Sancelme, M., Laj, P., Mailhot, G., and Delort, A.-M.: Microbial population in cloud water at the Puy de Dôme, Implications for the chemistry of clouds, Atmos. Environ., 39, 4143–4153, 2005. Amato, P., Parazols, M., Sancelme, M., Laj, P., Mailhot, G., and Delort, A.-M.: Microorganisms isolated from the water phase of tropospheric clouds at the Puy de Dôme: major groups and growth abilities at low temperatures, FEMS-Microbiol. Ecol., 49, 242–254, 2007. Ariya, P. A. and Amyot, M.: New directions: The role of bioaerosols in atmospheric chemistry and physics, Atmos. Environ., 38, 1231–1232, 2004. Barthe, C. and Pinty, J.-P.: Simulation of electrified storms with comparison of the charge structure and lightning efficiency, J. Geophys. Res., 112, D19204, http://dx.doi.org/10.1029/2006JD008241doi:10.1029/2006JD008241, 2007. Barthe, C., Deierling, W., and Barth, M. C.: Estimation of total lightning from various storm parameters: A cloud-resolving model study, J. Geophys. Res., 115, D24202, http://dx.doi.org/10.1029/2010JD014405doi:10.1029/2010JD014405, 2010. Bauer, H., Giebl, H., Hitzenberger, R., Kasper-Giebl, A., Reischl, G., Zibuschka, F., and Puxbaum, H.: Airborne bacteria as cloud condensation nuclei, J. Geophys. Res., 108, AAC2/1–AAC2/5, 2003. Blyth, A. M., Christian, H. J., Driscoll, K., Gadian, A. M., and Latham, J.: Determination of ice precipitation rates and thunderstorm anvil ice contents from satellite observations of lightning, Atmos. Res., 59–60, 217–229, 2001. Boccippio, D. J., Koshak, W. J., and Blakeslee, R. J.: Performance assessment of the Optical Transient Detector and Lightning Imaging Sensor. Part I: Predicted diurnal variability, J. Atmos. Ocean. Tech., 19, 1318–1332, 2002. Christner, B. C., Morris, C. E., Foreman, C. M., Cai, R., and Sands, D. C.: Ubiquity of biological ice nucleators in snowfall, Science, 319, 1214, http://dx.doi.org/10.1126/science.1149757doi:10.1126/science.1149757, 2008. Cotton, W. R., Tripoli, G. J., Rauber, R. M., and Mulvihill, E. A.: Numerical simulation of the effects of varying ice crystal nucleation rates and aggregation processes on orographic snowfall, J. Clim. Appl. Meteorol., 25, 1668–1680, 1986. Deierling, W., Petersen, W. A., Latham, J., Ellis, S., and Christian, H. J.: The relationship between lightning activity and ice fluxes in thunderstorms, J. Geophys. Res., 113, D15210, http://dx.doi.org/10.1029/2007JD009700doi:10.1029/2007JD009700, 2008. Deguillaume, L., Leriche, M., Amato, P., Ariya, P. A., Delort, A.-M., Pöschl, U., Chaumerliac, N., Bauer, H., Flossmann, A. I., and Morris, C. E.: Microbiology and atmospheric processes: chemical interactions of primary biological aerosols, Biogeosciences, 5, 1073–1084, http://dx.doi.org/10.5194/bg-5-1073-2008doi:10.5194/bg-5-1073-2008, 2008. DeMott, P. J., Meyers, M. P., and Cotton, W. R.: Parameterization and impact of ice initiation 755 processes relevant to numerical model simulations of cirrus clouds, J. Atmos. Sci., 51, 77–90, 1994. Diehl, K. and Wurzler, S.: Air parcel model simulations of a convective cloud: Bacteria acting as immersion ice nuclei, Atmos. Environ., 44, 4622–4628, 2010. Diehl, K., Matthias-Maser, S., Mitra, S. K., and Jaenicke, R.: Laboratory studies on the ice nucleating ability of biological aerosol particles in condensation freezing, immersion freezing and contact freezing modes, J. Aerosol Sci., 31, S70–S71, 2000. Dye, J. E., Jones, J. J., and Winn, W. P.: Observations within two regions of charge during initial thunderstorm electrification, Q. J. Roy. Meteor. Soc., 114, 1271–1290, 1989. Elbert, W., Taylor, P. E., Andreae, M. O., and Pöschl, U.: Contribution of fungi to primary biogenic aerosols in the atmosphere: wet and dry discharged spores, carbohydrates, and inorganic ions, Atmos. Chem. Phys., 7, 4569–4588, http://dx.doi.org/10.5194/acp-7-4569-2007doi:10.5194/acp-7-4569-2007, 2007. Freitas, S. R., Longo, K. M., Silva Dias, M. A. F., Chatfield, R., Silva Dias, P., Artaxo, P., Andreae, M. O., Grell, G., Rodrigues, L. F., Fazenda, A., and Panetta, J.: The Coupled Aerosol and Tracer Transport model to the Brazilian developments on the Regional Atmospheric Modeling System (CATT-BRAMS) – Part 1: Model description and evaluation, Atmos. Chem. Phys., 9, 2843–2861, http://dx.doi.org/10.5194/acp-9-2843-2009doi:10.5194/acp-9-2843-2009, 2009. Gonçalves, F. L. T., Martins, J. A., and Silva Dias, M. A. F.: Shape parameter analysis using cloud spectra and gamma functions in the numerical modeling RAMS during LBA Project at Amazonian region, Brazil, Atmos. Res., 89, 1–11, 2008. Hallett, J. and Mossop, S. C.: Production of secondary ice particles during riming process, Nature, 249, 26–28, 1974. Hamilton, W. D., Lenton, T. M., Spora and Gaia: How microbes fly with their clouds, Ethol. Ecol. Evol., 10, 1–16, 1998. 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., 106, 1165–1192, http://dx.doi.org/10.1029/2000JD900532doi:10.1029/2000JD900532, 2001. Hoose, C., Kristjánsson, J. E., and Burrows, S. M.: How important is biological ice nucleation in clouds on a global scale?, Environ. Res. Lett., 5, 1–7, http://dx.doi.org/10.1088/1748-9326/5/2/024009doi:10.1088/1748-9326/5/2/024009, 2010. Jaenicke, R.: Abundance of cellular material and proteins in the atmosphere. Science, 308, 5718, http://dx.doi.org/10.1126/science.1106335doi:10.1126/science.1106335, 2005. 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, 2004. Latham, J., Petersen, W. A., Deierling, W., and Christian, H. J.: Field identification of a unique globally dominant mechanism of thunderstorm electrification, Q. J. R. Meteor. Soc., 133, 1453–1457, 2007. Levin, Z., Teller, A., Ganor, E., and Yin, Y.: On the interactions of mineral dust, sea-salt particles, and clouds: A measurement and modeling study from the Mediterranean Israel Dust Experiment campaign, J. Geophys. Res., 110, D20202, http://dx.doi.org/10.1029/2005JD005810doi:10.1029/2005JD005810, 2005. Mansell, E., MacGorman, D. R., Ziegler, C. L., and Straka, J. M.: Charge structureand lightning sensitivity in a simulated multicell thunderstorm, J. Geophys. Res., 110, D12101, http://dx.doi.org/10.1029/2004JD005287doi:10.1029/2004JD005287, 2005. Martins, J. A. and Silva Dias, M. A. F.: The impact of smoke from forest fires on the spectral dispersion of cloud droplet size distributions in the Amazonian region, Environ. Res. Lett., 4, 015002, http://dx.doi.org/10.1088/1748-9326/4/1/015002doi:10.1088/1748-9326/4/1/015002, 2009. Martins, J. A., Silva Dias, M. A. F., and Gonçalves, F. L. T.: Impact of biomass burning aerosols on precipitation in the Amazon: A modeling case study, J. Geophys. Res., 114, 1–68, 2009. MacGorman, D. R. and Rust, W. D.: The electrical nature of storms, Oxford University Press, New York, 422 pp., 1998. Meyers, M. P., Walko, R. L., Harrington, J. Y., and Cotton, W. R.: New RAMS cloud microphysics parameterization. Part II: The two-moment scheme, Atmos. Res., 45, 3–39, 1997. Michaud, A. B., Sands, D. C., Dore, J. E., Leslie, D., Lyons, W. B., and Priscu, J. C.: The Role of Ice Nucleating Bacteria in Hailstone Formation, 11th General Meeting of the American Society for Microbiology, New Orleans, 2011. Möhler, O., DeMott, P. J., Vali, G., and Levin, Z.: Microbiology and atmospheric processes: the role of biological particles in cloud physics, Biogeosciences, 4, 1059–1071, http://dx.doi.org/10.5194/bg-4-1059-2007doi:10.5194/bg-4-1059-2007, 2007. Möhler, O., Georgakopoulos, D. G., Morris, C. E., Benz, S., Ebert, V., Hunsmann, S., Saathoff, H., Schnaiter, M., and Wagner, R.: Heterogeneous ice nucleation activity of bacteria: new laboratory experiments at simulated cloud conditions, Biogeosciences, 5, 1425–1435, http://dx.doi.org/10.5194/bg-5-1425-2008doi:10.5194/bg-5-1425-2008, 2008. Morris, C. E., Georgakapoulos, D., and Sands, D. C.: Ice nucleation active bacteria and their potential role in precipitation, J. Phys. IV, 121, 87–103, 2004. Morris, C. E., Sands, D. C., Vinatzer, B. A., Glaux, C., Guilbaud, C., Buffière, A., Yan, S., Dominguez, H., and Thompson, B. M.: The life history of the plant pathogen \textitPseudomonas syringae is linked to the water cycle, ISME J., 2, 321–334, 2008. Morris, C. E., Sands, D. C., Vanneste, J. L., Montarry, J., Oakley, B., Guilbaud, C., and Glaux, C.: Inferring the evolutionary history of the plant pathogen \textitPseudomonas syringae from its biogeography in headwaters of rivers in North America, Europe and New Zealand, mBio, 1, e00107-10–e00107-20, 2010. Morris, C. E., Sands, D. C., Bardin, M., Jaenicke, R., Vogel, B., Leyronas, C., Ariya, P. A., and Psenner, R.: Microbiology and atmospheric processes: research challenges concerning the impact of airborne micro-organisms on the atmosphere and climate, Biogeosciences, 8, 17–25, http://dx.doi.org/10.5194/bg-8-17-2011doi:10.5194/bg-8-17-2011, 2011. Orser, C., Staskawicz, B. J., Panopoulos, N. J., Dahlbeck, D., and Lindow, S. E.: Cloning and expression of bacterial ice nucleation genes in \textitEscherichia coli, J. Bacteriol., 184, 359–366, 1985. Pereyra, R. G., Avila, E. E., Castellano, N. E., and Saunders, C.: A laboratory study of graupel charging, J. Geophys. Res., 105, 20803–20812, 2000. Petersen, W. A., Christian, H. J., and Rutledge, S. A.: TRMM observations of the global relationship between ice water content and lightning, Geophys. Res. Lett., 32, L14819, http://dx.doi.org/10.1029/2005GL023236doi:10.1029/2005GL023236, 2005. Phillips, V. T. J., Andronache, C., Christner, B., Morris, C. E., Sands, D. C., Bansemer, A., Lauer, A., McNaughton, C., and Seman, C.: Potential impacts from biological aerosols on ensembles of continental clouds simulated numerically, Biogeosciences, 6, 987–1014, http://dx.doi.org/10.5194/bg-6-987-2009doi:10.5194/bg-6-987-2009, 2009. Pöschl, U., Martin, S. T., Sinha, B., Chen, Q., Gunthe, S. S., Huffman, J. A., Borrmann, S., Farmer, D. K., Garland, R. M., Helas, G., Jimenez, J. L., King, S. M., Manzi, A., Mikhailov, E., Pauliquevis, T., Petters, M. D., Prenni, A. J., Roldin, P., Rose, D., Schneider, J., Su, H., Zorn, S. R., Artaxo, P., and Andreae, M. O.: Rainforest Aerosols as Biogenic Nuclei of Clouds and Precipitation in the Amazon, Science, 17, 1513–1516, 2010. Price, C. and Rind, D.: A Simple Lightning Parameterization for Calculating Global Lightning Distributions, J. Geophys. Res., 97, 9919–9933, http://dx.doi.org/10.1029/92JD00719doi:10.1029/92JD00719, 1992. Pruppacher, H. R. and Klett, J. D.: Microphysics of clouds and precipitation, Atmospheric and oceanographic sciences library; 18, Kluwer, Dordrecht, 2. Rev. and Enl. Edn., 1997. Pouleur, S., Richard, C., Martin, J. G., and Antoun, H.: Ice Nucleation Activity in \textitFusarium acuminatum and \textitFusarium avenaceum, Appl. Environ. Microbiol., 58, 2960–2964, 1992. Rakov, V. A. and Uman, M. A.: Lightning: Physics and Effects, Cambridge: Cambridge University Press, 687 pp., 2003. Reynolds, S. E., Brooks, M., and Gourley, M. F.: Thunderstorm charge separation, J. Meteorol., 14, 163–178, 1957. Rutledge, S. A., Williams, E. R., and Keenan, T. D.: The down under Doppler and electricity experiment (DUNDEE): Overview and preliminary results, B. Am. Meteorol. Soc., 73, 3–16, 1992. Sands, D. C., Langhans, V. E., Scharen, A. L., and de Smet, G.: The association between bacteria and rain and possible resultant meteorological implications, J. Hungarian Meteorol. Serv., 86, 148–152, 1982. Saunders, C. P. R., Keith, W. D., and Mitzeva, R. P.: The effect of liquid water on thunderstorm charging, J. Geophys. Res., 96, 11007–11017, 1991. 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. Roy. Meteorol. Soc., 132, 2653–2673, doi:10/1256/qj.05.218, 2006. \hack Sattler, B., Puxbaum, H., and Psenner, R.: Bacterial growth in supercooled cloud droplets, Geophys. Res. Lett., 28, 239–242, 2001. Schumann, U. and Huntrieser, H.: The global lightning-induced nitrogen oxides source, Atmos. Chem. Phys., 7, 3823–3907, doi:10.5194/acp-7-3823-2007, 2007. Szyrmer, W. and Zawadzki, I.: Biogenic and anthropogenic sources of ice-forming nuclei: A review, B. Am. Meteorol. Soc., 78, 209–228, 1997. Takahashi, T.: Riming electrification as a charge generation mechanism in thunderstorms, J. Atmos. Sci., 35, 1536–1548, 1978. Takahashi, T. and Miyawaki, K.: Reexamination of riming electrification in a wind tunnel, J. Atmos. Sci., 59, 1018–1025, 2002. Tripoli, G. J. and Cotton, W. R.: The Colorado State University three-dimensional cloud mesoscale model, Part I: General theoretical framework and sensitivity experiments, J. Rech. Atmos., 16, 185–220, 1982. Vonnegut, B.: Some facts and speculations concerning the origin and role of thunderstorm electricity, Meteorol. Monogr., 5, 224–241, 1963. Walko, R., Cotton, W. R., Meyers, M. P., and Harrington, J. Y.: New RAMS cloud microphysics parameterization. Part I: The single-moment scheme, Atmos. Res., 38, 29–62, 1995. Williams, E. R.: Large-Scale Charge Separation in Thunderclouds, J. Geophys. Res., 90, 6013–6025, http://dx.doi.org/10.1029/JD090iD04p06013doi:10.1029/JD090iD04p06013, 1985. Williams, E. R. and Lhermitte, R. M.: Radar tests of the precipitation hypothesis for thunderstorm electrification, J. Geophys. Res., 88, 10984–10992, 1983. Yoshida, S., Morimoto, T., Ushio, T., and Kawasaki, Z.: A fifth-power relationship for lightning activity from Tropical Rainfall Measuring Mission satellite observations, J. Geophys. Res., 114, D09104, http://dx.doi.org/10.1029/2008JD010370doi:10.1029/2008JD010370, 2009.