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

Related authors

Description and evaluation of the community aerosol dynamics model MAFOR v2.0
Matthias Karl, Liisa Pirjola, Tiia Grönholm, Mona Kurppa, Srinivasan Anand, Xiaole Zhang, Andreas Held, Rolf Sander, Miikka Dal Maso, David Topping, Shuai Jiang, Leena Kangas, and Jaakko Kukkonen
Geosci. Model Dev., 15, 3969–4026, https://doi.org/10.5194/gmd-15-3969-2022,https://doi.org/10.5194/gmd-15-3969-2022, 2022
Short summary

Related subject area

Subject: Aerosols | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Decomposing the effective radiative forcing of anthropogenic aerosols based on CMIP6 Earth system models
Alkiviadis Kalisoras, Aristeidis K. Georgoulias, Dimitris Akritidis, Robert J. Allen, Vaishali Naik, Chaincy Kuo, Sophie Szopa, Pierre Nabat, Dirk Olivié, Twan van Noije, Philippe Le Sager, David Neubauer, Naga Oshima, Jane Mulcahy, Larry W. Horowitz, and Prodromos Zanis
Atmos. Chem. Phys., 24, 7837–7872, https://doi.org/10.5194/acp-24-7837-2024,https://doi.org/10.5194/acp-24-7837-2024, 2024
Short summary
Modeling impacts of dust mineralogy on fast climate response
Qianqian Song, Paul Ginoux, María Gonçalves Ageitos, Ron L. Miller, Vincenzo Obiso, and Carlos Pérez García-Pando
Atmos. Chem. Phys., 24, 7421–7446, https://doi.org/10.5194/acp-24-7421-2024,https://doi.org/10.5194/acp-24-7421-2024, 2024
Short summary
Uncertainties in laboratory-measured shortwave refractive indices of mineral dust aerosols and derived optical properties: a theoretical assessment
Senyi Kong, Zheng Wang, and Lei Bi
Atmos. Chem. Phys., 24, 6911–6935, https://doi.org/10.5194/acp-24-6911-2024,https://doi.org/10.5194/acp-24-6911-2024, 2024
Short summary
Diagnosing uncertainties in global biomass burning emission inventories and their impact on modeled air pollutants
Wenxuan Hua, Sijia Lou, Xin Huang, Lian Xue, Ke Ding, Zilin Wang, and Aijun Ding
Atmos. Chem. Phys., 24, 6787–6807, https://doi.org/10.5194/acp-24-6787-2024,https://doi.org/10.5194/acp-24-6787-2024, 2024
Short summary
Role of atmospheric aerosols in severe winter fog over the Indo-Gangetic Plain of India: a case study
Chandrakala Bharali, Mary Barth, Rajesh Kumar, Sachin D. Ghude, Vinayak Sinha, and Baerbel Sinha
Atmos. Chem. Phys., 24, 6635–6662, https://doi.org/10.5194/acp-24-6635-2024,https://doi.org/10.5194/acp-24-6635-2024, 2024
Short summary

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.
Download
Short summary
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.
Altmetrics
Final-revised paper
Preprint