Articles | Volume 16, issue 8
https://doi.org/10.5194/acp-16-5299-2016
https://doi.org/10.5194/acp-16-5299-2016
Research article
 | 
28 Apr 2016
Research article |  | 28 Apr 2016

The rate of equilibration of viscous aerosol particles

Simon O'Meara, David O. Topping, and Gordon McFiggans

Related authors

Characterisation of the Manchester Aerosol Chamber facility
Yunqi Shao, Yu Wang, Mao Du, Aristeidis Voliotis, M. Rami Alfarra, Simon P. O'Meara, S. Fiona Turner, and Gordon McFiggans
Atmos. Meas. Tech., 15, 539–559, https://doi.org/10.5194/amt-15-539-2022,https://doi.org/10.5194/amt-15-539-2022, 2022
Short summary
PyCHAM (v2.1.1): a Python box model for simulating aerosol chambers
Simon Patrick O'Meara, Shuxuan Xu, David Topping, M. Rami Alfarra, Gerard Capes, Douglas Lowe, Yunqi Shao, and Gordon McFiggans
Geosci. Model Dev., 14, 675–702, https://doi.org/10.5194/gmd-14-675-2021,https://doi.org/10.5194/gmd-14-675-2021, 2021
Short summary
Maxwell–Stefan diffusion: a framework for predicting condensed phase diffusion and phase separation in atmospheric aerosol
Kathryn Fowler, Paul J. Connolly, David O. Topping, and Simon O'Meara
Atmos. Chem. Phys., 18, 1629–1642, https://doi.org/10.5194/acp-18-1629-2018,https://doi.org/10.5194/acp-18-1629-2018, 2018
Short summary
An efficient approach for treating composition-dependent diffusion within organic particles
Simon O'Meara, David O. Topping, Rahul A. Zaveri, and Gordon McFiggans
Atmos. Chem. Phys., 17, 10477–10494, https://doi.org/10.5194/acp-17-10477-2017,https://doi.org/10.5194/acp-17-10477-2017, 2017
Short summary

Related subject area

Subject: Aerosols | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Parameterization of size of organic and secondary inorganic aerosol for efficient representation of global aerosol optical properties
Haihui Zhu, Randall V. Martin, Betty Croft, Shixian Zhai, Chi Li, Liam Bindle, Jeffrey R. Pierce, Rachel Y.-W. Chang, Bruce E. Anderson, Luke D. Ziemba, Johnathan W. Hair, Richard A. Ferrare, Chris A. Hostetler, Inderjeet Singh, Deepangsu Chatterjee, Jose L. Jimenez, Pedro Campuzano-Jost, Benjamin A. Nault, Jack E. Dibb, Joshua S. Schwarz, and Andrew Weinheimer
Atmos. Chem. Phys., 23, 5023–5042, https://doi.org/10.5194/acp-23-5023-2023,https://doi.org/10.5194/acp-23-5023-2023, 2023
Short summary
Model-based insights into aerosol perturbation on pristine continental convective precipitation
Mengjiao Jiang, Yaoting Li, Weiji Hu, Yinshan Yang, Guy Brasseur, and Xi Zhao
Atmos. Chem. Phys., 23, 4545–4557, https://doi.org/10.5194/acp-23-4545-2023,https://doi.org/10.5194/acp-23-4545-2023, 2023
Short summary
The impact of using assimilated Aeolus wind data on regional WRF-Chem dust simulations
Pantelis Kiriakidis, Antonis Gkikas, Georgios Papangelis, Theodoros Christoudias, Jonilda Kushta, Emmanouil Proestakis, Anna Kampouri, Eleni Marinou, Eleni Drakaki, Angela Benedetti, Michael Rennie, Christian Retscher, Anne Grete Straume, Alexandru Dandocsi, Jean Sciare, and Vasilis Amiridis
Atmos. Chem. Phys., 23, 4391–4417, https://doi.org/10.5194/acp-23-4391-2023,https://doi.org/10.5194/acp-23-4391-2023, 2023
Short summary
On the differences in the vertical distribution of modeled aerosol optical depth over the southeastern Atlantic
Ian Chang, Lan Gao, Connor J. Flynn, Yohei Shinozuka, Sarah J. Doherty, Michael S. Diamond, Karla M. Longo, Gonzalo A. Ferrada, Gregory R. Carmichael, Patricia Castellanos, Arlindo M. da Silva, Pablo E. Saide, Calvin Howes, Zhixin Xue, Marc Mallet, Ravi Govindaraju, Qiaoqiao Wang, Yafang Cheng, Yan Feng, Sharon P. Burton, Richard A. Ferrare, Samuel E. LeBlanc, Meloë S. Kacenelenbogen, Kristina Pistone, Michal Segal-Rozenhaimer, Kerry G. Meyer, Ju-Mee Ryoo, Leonhard Pfister, Adeyemi A. Adebiyi, Robert Wood, Paquita Zuidema, Sundar A. Christopher, and Jens Redemann
Atmos. Chem. Phys., 23, 4283–4309, https://doi.org/10.5194/acp-23-4283-2023,https://doi.org/10.5194/acp-23-4283-2023, 2023
Short summary
A global evaluation of daily to seasonal aerosol and water vapor relationships using a combination of AERONET and NAAPS reanalysis data
Juli I. Rubin, Jeffrey S. Reid, Peng Xian, Christopher M. Selman, and Thomas F. Eck
Atmos. Chem. Phys., 23, 4059–4090, https://doi.org/10.5194/acp-23-4059-2023,https://doi.org/10.5194/acp-23-4059-2023, 2023
Short summary

Cited articles

Crank, J.: The Mathematics of Diffusion, 2nd Edn., Clarendon Press, Oxford, 1975.
Debenedetti, P. G. and Stillinger, F. H.: Supercooled Liquids and the Glass Transition, Nature, 410, 259–267, 2001.
Haynes, W. M. (Ed.): CRC Handbook of Chemistry and Physics, 96th Edn., Internet Version 2016, available at: www.hbcpnetbase.com, 2015.
He, X., Fowler, A., and Toner, M.: Water Activity and Mobility in Solutions of Glycerol and Small Molecular Weight Sugars: Implication for Cryo- and Lyopreservation, J. Appl. Phys., 100, 074702, https://doi.org/10.1063/1.2336304, 2006.
Kee, D. D., Liu, Q., and Hinestroza, J.: Viscoelastic (non-Fickian) Diffusion, Can. J. Chem. Eng., 83, 913–929, 2005.
Download
Short summary
To understand the effect of atmospheric particulate matter on climate and human health we need to know how it evolves. We investigate how best to estimate diffusion of components through particles by comparing diffusion times from three approaches to solving Fick's Law and find that they agree. This means that scientists can simulate Fickian diffusion through atmospheric particles using the approach best suited to their requirements and have confidence that their model is mathematically sound.
Altmetrics
Final-revised paper
Preprint