Articles | Volume 15, issue 2
https://doi.org/10.5194/acp-15-753-2015
https://doi.org/10.5194/acp-15-753-2015
Peer-reviewed comment
 | 
21 Jan 2015
Peer-reviewed comment |  | 21 Jan 2015

Comment on "Reduced efficacy of marine cloud brightening geoengineering due to in-plume aerosol coagulation: parameterization and global implications" by Stuart et al. (2013)

S. Anand and Y. S. Mayya

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Cited articles

Anand, S. and Mayya, Y. S.: Coagulation in a diffusing Gaussian aerosol puff: Comparison of analytical approximations with numerical solutions, J. Aerosol Sci., 40, 348–361, 2009.
Anand, S. and Mayya, Y. S.: A simplified approach for solving coagulation–diffusion equation to estimate atmospheric background particle number loading factors contributed by emissions from localized sources, Atmos. Environ., 45, 4488–4496, 2011.
Han, J., Arya, S. P., Shen, S., and Lin, Y.-L.: An Estimation of Turbulent Kinetic Energy and Energy Dissipation Rate Based on Atmospheric Boundary Layer Similarity Theory, NASA/CR-2000-210298, 3–5, 2000.
Seinfeld, J. H. and Pandis, S. N.: Atmospheric Chemistry and Physics: From Air Pollution to Climate Change, 2nd Edition, Wiley & Sons, Inc., New York, 751 pp., 2006.
Stuart, G. S., Stevens, R. G., Partanen, A.-I., Jenkins, A. K. L., Korhonen, H., Forster, P. M., Spracklen, D. V., and Pierce, J. R.: Reduced efficacy of marine cloud brightening geoengineering due to in-plume aerosol coagulation: parameterization and global implications, Atmos. Chem. Phys., 13, 10385–10396, https://doi.org/10.5194/acp-13-10385-2013, 2013.
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This study examines the parameterized model of Stuart et al. (2013) vis-a-vis a diffusion based model proposed by Anand and Mayya (2011) to estimate the fraction of aerosol particles surviving coagulation in a dispersing plume. Results show that the two models agree with each other within a difference of 10%, and suggest either of the two models might be suitable for incorporation into global-/regional-scale air pollution models.
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