Articles | Volume 15, issue 4
https://doi.org/10.5194/acp-15-2009-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-15-2009-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
24 Feb 2015
Research article |
| 24 Feb 2015
The relative dispersion of cloud droplets: its robustness with respect to key cloud properties
Department of Earth and Planetary Sciences, Weizmann Institute of Science, Rehovot, Israel
Department of Soil and Water Sciences, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel
A. Teller
Department of Earth and Planetary Sciences, Weizmann Institute of Science, Rehovot, Israel
O. Altaratz
Department of Earth and Planetary Sciences, Weizmann Institute of Science, Rehovot, Israel
D. Axisa
Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
R. Bruintjes
Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
Department of Geophysics and Planetary Science, Tel Aviv University, Israel
The Energy, Environment and Water Research Center, the Cyprus Institute, Nicosia, Cyprus
Department of Earth and Planetary Sciences, Weizmann Institute of Science, Rehovot, Israel
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Cited articles
Ackerman, A. S., Toon, O. B., Taylor, J. P., Johnson, D. W., Hobbs, P. V., and Ferek, R. J.: Effects of aerosols on cloud albedo: evaluation of Twomey's parameterization of clouds susceptibility using measurements of ship tracks, J. Atmos. Sci., 57, 2684–2695, 2000.
Altaratz, O., Koren, I., Remer, L. A., and Hirsch, E.: Review: cloud invigoration by aerosols – coupling between microphysics and dynamics, Atmos. Res., 140, 38–60, 2014.
Albrecht, B.: Aerosols, cloud microphysics, and fractional cloudiness, Science, 245, 1227–1230, 1989.
Andreae, M. O., Rosenfeld, D., Artaxo, P., Costa, A. A., Frank, G. P., Longo, K. M., and Silva-Dias, M. A. F.: Smoking rain clouds over the Amazon, Science, 303, 1337–1342, https://doi.org/10.1126/science.1092779, 2004.
Axisa, D., Rosenfeld, J., Santarpia, W., Woodley, and Collins, D.: The Southern Plains Experiment in Cloud Seeding of Thunderstorms for Rainfall Augmentation (SPECTRA) project: operational tools used towards verifying glaciogenic and hygroscopic seeding conceptual models, case studies and preliminary results, Preprints, 16th Conf. on Planned and Inadvertent Weather Modification, 9–13 January 2001, San Diego, CA, Amer. Meteor. Soc., Paper 6.6, 2005.
Berg, L. K., Berkowitz, C. M., Barnard, J. C., Senum, G., and Springston, S. R.: Observations of the first aerosol indirect effect in shallow cumuli, Geophys. Res. Lett., 38, L03809, https://doi.org/10.1029/2010GL046047, 2011.
Daum, P. and Liu, Y.: Dispersion of cloud droplet size distributions, cloud parameterizations, and indirect aerosol effects, paper presented at 13th ARM Science Team Meeting, Atmos. Radiat. Meas. Clim. Res. Facility, US Dep. of Energy, Daytona Beach, Fla., 14–18 March 2003.
Deng, Z., Zhao, C., Zhang, Q., Haung, M., and Ma, X.: Statistical analysis of properties and parameterization of effective radius of warm cloud in Beijing area, Atmos. Res., 93, 888–896, 2009.
Feingold, G., Eberhard, W. L., Veron, D. E., and Previdi, M.: First measurements of the Twomey indirect effect using ground-based remote sensors, Geophys. Res. Lett., 30, 1287, https://doi.org/10.1029/2002GL016633, 2003.
Hansen, J. E. and Travis, L. D.: Light-scattering in planetary atmospheres, Space Sci. Rev., 16, 527–610, https://doi.org/10.1007/BF00168069, 1974. Hsieh, W. C., Nenes, A., Flagan, R. C., Seinfeld, J. H., Buzorius, G., and Jonsson, H.: Parameterization of cloud droplet size distributions: Comparison with parcel models and observations, J. Geophys. Res., 114, D11205, https://doi.org/10.1029/2008JD011387, 2009.
Hsieh, W. C., Nenes, A., Flagan, R. C., Seinfeld, J. H., Buzorius, G., and Jonsson, H.: Parameterization of cloud droplet size distributions: comparison with parcel models and observations, J. Geophys. Res., 114, D11205, https://doi.org/10.1029/2008JD011387, 2009.
Koren, I., Kaufman, Y. J., Rosenfeld, D., Remer, L. A., and Rudich, Y.: Aerosol invigoration and restructuring of Atlantic convective clouds, Geophys. Res. Lett., 32, L14828, https://doi.org/10.1029/2005GL023187, 2005.
Liu, Y. and Daum, P. H.: Spectral dispersion of cloud droplet size distributions and the parameterization of cloud droplet effective radius, Geophys. Res. Lett., 27, 1903–1906, https://doi.org/10.1029/1999GL011011, 2000a.
Liu, Y. and Daum, P. H.: Which size distribution function to use in parameterization of effective radius, paper presented at 13th International Conference on Clouds and Precipitation, 14–18 August 2000, Int. Comm. on Clouds and Precip. Reno, Nev., 2000b.
Liu, Y. and Daum, P. H.: Anthropogenic aerosols: indirect warming effect from dispersion forcing, Nature, 419, 580–581, https://doi.org/10.1038/419580a, 2002.
Liu, Y., Daum, P. H., and McGraw, R.: Size truncation effect, threshold behavior, and a new type of autoconversion parameterization, Geophys. Res. Lett., 32, L11811, https://doi.org/10.1029/2005GL022636, 2005.
Liu, Y., Daum, P. H., McGraw, R., and Miller, M.: Generalized threshold function accounting for effect of relative dispersion on threshold behavior of autoconversion process, Geophys. Res. Lett., 33, L11804, https://doi.org/10.1029/2005GL0255000, 2006a.
Liu, Y., Daum, P. H., and Yum, S. S.: Analytical expression for the relative dispersion of the cloud droplet size distribution, Geophys. Res. Lett., 33, L02810, https://doi.org/10.1029/2005GL024052, 2006b.
Liu, Y., Daum, P. H., Guo, H., and Peng, Y.: Dispersion bias, dispersion effect and aerosol-cloud conundrum, Environ. Res. Lett., 3, 045021, https://doi.org/10.1088/1748-9326/3/4/045021, 2008.
Lu, M.-L. and Seinfeld, J. H.: Effect of aerosol number concentration on cloud droplet dispersion: a large-eddy simulation study and implications for aerosol indirect forcing, J. Geophys. Res., 111, D02207, https://doi.org/10.1029/2005JD006419, 2006.
Lu, M.-L., Feingold, G., Jonsson, H. H., Chuang, P. Y., Gates, H., Flagan, R. C., and Seinfeld, J. H.: Aerosol-cloud relationships in continental shallow clouds, J. Geophys. Res., 113, D15201, https://doi.org/10.1029/2007JD009354, 2008.
Ma, J., Chen, A., Wang, W., Yan, P., Liu, H., Yang, S., Hu, Z., and Lelieveld, J.: Strong air pollution causes widespread haze-clouds over China, J. Geophys. Res., 115, D18204, https://doi.org/10.1029/2009JD013065, 2010.
Martin, G. M., Johnson, D. W., and Spice, A.: The measurement and parameterization of effective radius of droplets in warm stratocumulus clouds, J. Atmos. Sci., 51, 1823–1842, https://doi.org/10.1175/1520-0469(1994)051<1823:TMAPOE>2.0.CO;2, 1994.
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, https://doi.org/10.1088/1748-9326/4/1/015002, 2009.
McFarquhar, G. M. and Heymsfield, A. J.: Parameterization of INDOEX microphysical measurements and calculations of cloud susceptibility: applications for climate studies, J. Geophys. Res., 106, 28675–28698, https://doi.org/10.1029/2000JD900777, 2001.
Miles, N. L., Verlinde, J., and Clothiaux, E. E.: Cloud droplet size distributions in low-level stratiform clouds, J. Atmos. Sci., 57, 295–311, 2000.
Pandithurai, G., Dipu, S., Prabha, T. V., Maheskumar, R. S., Kulkarni, J. R., and Goswami, B. N.: Aerosol effect on droplet spectral dispersion in warm continental cumuli, J. Geophys. Res., 117, D16202, https://doi.org/10.1029/2011JD016532, 2012.
Pawlowska, H., Grabowski, W. W., and Brenguir, J.-L.: Observations of the width of cloud droplet spectra in stratocumulus, Geophys. Res. Lett., 33, L29810, https://doi.org/10.1029/2006GL026841, 2006.
Peng, Y. and Lohmann, U.: Sensitivity study of the spectral dispersion of the cloud droplet size distribution on the indirect aerosol effect, Geophys. Res. Lett., 30, 1507, https://doi.org/10.1029/2003GL017192, 2003.
Peng, Y., Lohmann, U., Leaitch, R., and Kulmala, M.: An investigation into the aerosol dispersion effect through the activation process in marine stratus clouds, J. Geophys. Res., 112, D11117, https://doi.org/10.1029/2006JD007401, 2007.
Rogers, R. R. and Yau, M. K.: A Short Course in Cloud Physics, 3rd edn., Pergamon Press, Oxford, 1989.
Rosenfeld, D. and Feingold, G.: Explanation of the discrepancies among satellite observations of the aerosol indirect effects, Geophys. Res. Lett., 30, 1776, https://doi.org/10.1029/2003GL017684, 2003.
Rotstayn, L. D. and Liu, Y.: Sensitivity of the first indirect aerosol effect to an increase of cloud droplet spectral dispersion with droplet number concentration, J. Climate, 16, 3476–3481, https://doi.org/10.1175/1520-0442, 2003.
Slingo, A.: A GCM parameterization for the shortwave Radiative properties of water clouds, J. Atmos. Sci., 46, 1419–1427, https://doi.org/10.1175/1520-0469, 1989.
Small J. D., Chuang, P. Y., and H. H. Jonsson, Microphysical imprint of entrainment in warm cumulus, Tellus B, 65, 19922, https://doi.org/10.3402/tellusb.v65i0.19922, 2013.
Tao, W.-K., Chen, J.-P., Li, Z., Wang, C., and Zhang, C.: Impact of aerosols on convective clouds and precipitation, Rev. Geophys., 50, RG2001, https://doi.org/10.1029/2011RG000369, 2012.
Tas, E., Koren, I., and Altaratz, O.: On the sensitivity of droplet size relative dispersion to warm cumulus cloud evolution, Geophys. Res. Lett., 39, L13807, https://doi.org/10.1029/2012GL052157, 2012.
Teller, A., Axisa, D., Bruintjes, R., Collins, D., Mutlu, A., Kluzek, C., Pocernich, M., Buseck, P. R., Freney, E., Tessendorf, S., Hunter, S., Şen, O., Kocak, K., Toros, H., Köse, A., and Tunc, M.: Cloud and Aerosol Research in Istanbul Final Report 2007–2008, NCAR/RAL, Boulder, CO, 2008.
Twomey, S.: The influence of pollution on the short wave albedo of clouds, J. Atmos. Sci., 34, 1149–1152, 1977.
Xie, X., Liu, X., Peng, Y., Wan, Y., Yue, Z., and Li., X.: Numerical simulation of clouds and precipitation depending on different relationships between aerosol and cloud droplet spectral dispersion, Tellus B, 65, 1–17, 2013.
Yum, S. S. and Hudson, J. G.: Adiabatic predictions and observations of cloud droplet spectral broadness, Atmos. Res., 73, 203–223, https://doi.org/10.1016/j.atmosres.2004.10.006, 2005.
Zhao, C., Tie, X., Brasseur, G., Noone, K. J., Nakajima, T., Noone, K. J., Nakajima, T., Zhang, Q., Zhang, R., Huang, M., Duan, Y., Li, G., and Ishizaka, Y.: Aircraft measurements of cloud droplet spectral dispersion and implications for indirect aerosol radiative forcing, Geophys. Res. Lett., 33, L16809, https://doi.org/10.1029/2006GL026653, 2006.
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