DeCarlo, P. F., Avery, A. M., and Waring, M. S.: Thirdhand smoke uptake to aerosol particles in the indoor environment, Science Advances, 4, eaap8368,
https://doi.org/10.1126/sciadv.aap8368, 2018.
a
Donahue, N. M., Robinson, A. L., Stanier, C. O., and Pandis, S. N.: Coupled Partitioning, Dilution, and Chemical Aging of Semivolatile Organics, Environ. Sci. Technol., 40, 2635–2643,
https://doi.org/10.1021/es052297c, 2006.
a
Eastham, S. D., Weisenstein, D. K., and Barrett, S. R. H.: Development and evaluation of the unified tropospheric–stratospheric chemistry extension (UCX) for the global chemistry-transport model GEOS-Chem, Atmos. Environ., 89, 52–63,
https://doi.org/10.1016/j.atmosenv.2014.02.001, 2014.
a
Eastham, S. D., Long, M. S., Keller, C. A., Lundgren, E., Yantosca, R. M., Zhuang, J., Li, C., Lee, C. J., Yannetti, M., Auer, B. M., Clune, T. L., Kouatchou, J., Putman, W. M., Thompson, M. A., Trayanov, A. L., Molod, A. M., Martin, R. V., and Jacob, D. J.: GEOS-Chem High Performance (GCHP v11-02c): a next-generation implementation of the GEOS-Chem chemical transport model for massively parallel applications, Geosci. Model Dev., 11, 2941–2953,
https://doi.org/10.5194/gmd-11-2941-2018, 2018.
a
Ervens, B., Turpin, B. J., and Weber, R. J.: Secondary organic aerosol formation in cloud droplets and aqueous particles (aqSOA): a review of laboratory, field and model studies, Atmos. Chem. Phys., 11, 11069–11102,
https://doi.org/10.5194/acp-11-11069-2011, 2011.
a
Forster, P., Storelvmo, T., Armour, K., Collins, W., Dufresne, J.-L., Frame, D., Lunt, D., Mauritsen, T., Palmer, M., Watanabe, M., Wild, M., and Zhang, H.: The Earth’s Energy Budget, Climate Feedbacks, and Climate Sensitivity, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 923–1054,
https://doi.org/10.1017/9781009157896.009, 2021.
a
Fountoukis, C. and Nenes, A.: ISORROPIA II: a computationally efficient thermodynamic equilibrium model for K
+–Ca
2+–Mg
2+–NH
–Na
+–SO
–NO
–Cl
−–H
2O aerosols, Atmos. Chem. Phys., 7, 4639–4659,
https://doi.org/10.5194/acp-7-4639-2007, 2007.
a
Global Modeling and Assimilation Office (GMAO): MERRA-2 const_2d_asm_Nx: 2d, constants V5.12.4 (M2C0NXASM), Greenbelt, MD, USA: Goddard Space Flight Center Distributed Active Archive Center (GSFCDAAC) [data set],
https://doi.org/10.5067/ME5QX6Q5IGGU, 2015a.
a
Global Modeling and Assimilation Office (GMAO): MERRA-2 inst3_3d_asm_Nv: 3d, 3-Hourly, Instantaneous, Model-Level, Assimilation, Assimilated Meteorological Fields V5.12.4 (M2I3NVASM), Greenbelt, MD, USA: Goddard Space Flight Center Distributed Active Archive Center (GSFCDAAC) [data set],
https://doi.org/10.5067/WWQSXQ8IVFW8, 2015b.
a
Global Modeling and Assimilation Office (GMAO): MERRA-2 tavg1_2d_flx_Nx: 2d, 1-Hourly, Time-Averaged, Single-Level, Assimilation, Surface Flux Diagnostics V5.12.4 (M2T1NXFLX), Greenbelt, MD, USA: Goddard Space Flight Center Distributed Active Archive Center (GSFCDAAC) [data set],
https://doi.org/10.5067/7MCPBJ41Y0K6, 2015c.
a
Global Modeling and Assimilation Office (GMAO): MERRA-2 tavg1_2d_lnd_Nx: 2d, 1-Hourly, Time-Averaged, Single-Level, Assimilation, Land Surface Diagnostics V5.12.4 (M2T1NXLND), Greenbelt, MD, USA: Goddard Space Flight Center Distributed Active Archive Center (GSFCDAAC) [data set],
https://doi.org/10.5067/RKPHT8KC1Y1T, 2015d.
a
Global Modeling and Assimilation Office (GMAO): MERRA-2 tavg1_2d_rad_Nx: 2d, 1-Hourly, Time-Averaged, Single-Level, Assimilation, Radiation Diagnostics V5.12.4 (M2T1NXRAD), Greenbelt, MD, USA: Goddard Space Flight Center Distributed Active Archive Center (GSFCDAAC) [data set],
https://doi.org/10.5067/Q9QMY5PBNV1T, 2015e.
a
Global Modeling and Assimilation Office (GMAO): MERRA-2 tavg1_2d_slv_Nx:2d, 1-Hourly, Time-Averaged, Single-Level, Assimilation, Single-Level Diagnostics V5.12.4 (M2T1NXSLV), Greenbelt, MD, USA: Goddard Space Flight Center Distributed Active Archive Center (GSFCDAAC) [data set],
https://doi.org/10.5067/VJAFPLI1CSIV, 2015f.
a
Global Modeling and Assimilation Office (GMAO): MERRA-2 tavg3_3d_asm_Nv: 3d, 3-Hourly, Time-Averaged, Model-Level, Assimilation, Assimilated Meteorological Fields V5.12.4 (M2T3NVASM), Greenbelt, MD, USA: Goddard Space Flight Center Distributed Active Archive Center (GSFCDAAC) [data set],
https://doi.org/10.5067/SUOQESM06LPK, 2015g.
a
Global Modeling and Assimilation Office (GMAO): MERRA-2 tavg3_3d_cld_Nv: 3d, 3-Hourly, Time-Averaged, Model-Level, Assimilation, Cloud Diagnostics V5.12.4 (M2T3NVCLD), Greenbelt, MD, USA: Goddard Space Flight Center Distributed Active Archive Center (GSFCDAAC) [data set],
https://doi.org/10.5067/F9353J0FAHIH, 2015h.
a
Global Modeling and Assimilation Office (GMAO): MERRA-2 tavg3_3d_mst_Ne: 3d, 3-Hourly, Time-Averaged, Model-Level Edge, Assimilation, Moist Processes Diagnostics V5.12.4 (M2T3NEMST), Greenbelt, MD, USA: Goddard Space Flight Center Distributed Active Archive Center (GSFCDAAC) [data set],
https://doi.org/10.5067/JRUZ3SJ3ZJ72, 2015i.
a
Global Modeling and Assimilation Office (GMAO): MERRA-2 tavg3_3d_mst_Nv: 3d, 3-Hourly, Time-Averaged, Model-Level, Assimilation, Moist Processes Diagnostics V5.12.4 (M2T3NVMST), Greenbelt, MD, USA: Goddard Space Flight Center Distributed Active Archive Center (GSFCDAAC) [data set],
https://doi.org/10.5067/ZXTJ28TQR1TR, 2015j.
a
Gorkowski, K., Preston, T. C., and Zuend, A.: Relative-humidity-dependent organic aerosol thermodynamics via an efficient reduced-complexity model, Atmos. Chem. Phys., 19, 13383–13407,
https://doi.org/10.5194/acp-19-13383-2019, 2019.
a,
b,
c,
d,
e,
f,
g,
h,
i
Griffin, R. J., Nguyen, K., Dabdub, D., and Seinfeld, J. H.: A Coupled Hydrophobic-Hydrophilic Model for Predicting Secondary Organic Aerosol Formation, J. Atmos. Chem., 44, 171–190,
https://doi.org/10.1023/A:1022436813699, 2003.
a
Guenther, A., Karl, T., Harley, P., Wiedinmyer, C., Palmer, P. I., and Geron, C.: Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature), Atmos. Chem. Phys., 6, 3181–3210,
https://doi.org/10.5194/acp-6-3181-2006, 2006.
a
Health Canada: Health impacts of air pollution in Canada: Estimates of premature deaths and nonfatal outcomes – 2021 report,
https://www.canada.ca/content/dam/hc-sc/documents/services/publications/healthy-living/2021-health-effects-indoor-air-pollution/hia-report-eng.pdf (last access: 17 July 2024), 2021. a
Jimenez, J. L., Canagaratna, M. R., Donahue, N. M., Prevot, A. S. H., Zhang, Q., Kroll, J. H., DeCarlo, P. F., Allan, J. D., Coe, H., Ng, N. L., Aiken, A. C., Docherty, K. S., Ulbrich, I. M., Grieshop, A. P., Robinson, A. L., Duplissy, J., Smith, J. D., Wilson, K. R., Lanz, V. A., Hueglin, C., Sun, Y. L., Tian, J., Laaksonen, A., Raatikainen, T., Rautiainen, J., Vaattovaara, P., Ehn, M., Kulmala, M., Tomlinson, J. M., Collins, D. R., Cubison, M. J., E., Dunlea, J., Huffman, J. A., Onasch, T. B., Alfarra, M. R., Williams, P. I., Bower, K., Kondo, Y., Schneider, J., Drewnick, F., Borrmann, S., Weimer, S., Demerjian, K., Salcedo, D., Cottrell, L., Griffin, R., Takami, A., Miyoshi, T., Hatakeyama, S., Shimono, A., Sun, J. Y., Zhang, Y. M., Dzepina, K., Kimmel, J. R., Sueper, D., Jayne, J. T., Herndon, S. C., Trimborn, A. M., Williams, L. R., Wood, E. C., Middlebrook, A. M., Kolb, C. E., Baltensperger, U., and Worsnop, D. R.: Evolution of Organic Aerosols in the Atmosphere, Science, 326, 1525–1529,
https://doi.org/10.1126/science.1180353, 2009.
a,
b
Kakavas, S., Pandis, S. N., and Nenes, A.: ISORROPIA-Lite: A Comprehensive Atmospheric Aerosol Thermodynamics Module for Earth System Models, Tellus B, 74, 1–23,
https://doi.org/10.16993/tellusb.33, 2022.
a,
b
Keller, C. A., Long, M. S., Yantosca, R. M., Da Silva, A. M., Pawson, S., and Jacob, D. J.: HEMCO v1.0: a versatile, ESMF-compliant component for calculating emissions in atmospheric models, Geosci. Model Dev., 7, 1409–1417,
https://doi.org/10.5194/gmd-7-1409-2014, 2014.
a
Lathem, T. L., Beyersdorf, A. J., Thornhill, K. L., Winstead, E. L., Cubison, M. J., Hecobian, A., Jimenez, J. L., Weber, R. J., Anderson, B. E., and Nenes, A.: Analysis of CCN activity of Arctic aerosol and Canadian biomass burning during summer 2008, Atmos. Chem. Phys., 13, 2735–2756,
https://doi.org/10.5194/acp-13-2735-2013, 2013.
a
Lilek, J. and Zuend, A.: A predictive viscosity model for aqueous electrolytes and mixed organic–inorganic aerosol phases, Atmos. Chem. Phys., 22, 3203–3233,
https://doi.org/10.5194/acp-22-3203-2022, 2022.
a
Lim, Y. B., Tan, Y., and Turpin, B. J.: Chemical insights, explicit chemistry, and yields of secondary organic aerosol from OH radical oxidation of methylglyoxal and glyoxal in the aqueous phase, Atmos. Chem. Phys., 13, 8651–8667,
https://doi.org/10.5194/acp-13-8651-2013, 2013.
a
Lin, H., Jacob, D. J., Lundgren, E. W., Sulprizio, M. P., Keller, C. A., Fritz, T. M., Eastham, S. D., Emmons, L. K., Campbell, P. C., Baker, B., Saylor, R. D., and Montuoro, R.: Harmonized Emissions Component (HEMCO) 3.0 as a versatile emissions component for atmospheric models: application in the GEOS-Chem, NASA GEOS, WRF-GC, CESM2, NOAA GEFS-Aerosol, and NOAA UFS models, Geosci. Model Dev., 14, 5487–5506,
https://doi.org/10.5194/gmd-14-5487-2021, 2021.
a
Marais, E. A., Jacob, D. J., Jimenez, J. L., Campuzano-Jost, P., Day, D. A., Hu, W., Krechmer, J., Zhu, L., Kim, P. S., Miller, C. C., Fisher, J. A., Travis, K., Yu, K., Hanisco, T. F., Wolfe, G. M., Arkinson, H. L., Pye, H. O. T., Froyd, K. D., Liao, J., and McNeill, V. F.: Aqueous-phase mechanism for secondary organic aerosol formation from isoprene: application to the southeast United States and co-benefit of SO
2 emission controls, Atmos. Chem. Phys., 16, 1603–1618,
https://doi.org/10.5194/acp-16-1603-2016, 2016.
a,
b,
c
Marcolli, C., Luo, B., and Peter, T.: Mixing of the Organic Aerosol Fractions: Liquids as the Thermodynamically Stable Phases, J. Phys. Chem. A, 108, 2216–2224,
https://doi.org/10.1021/jp036080l, 2004.
a
Miller, S. J., Makar, P. A., and Lee, C. J.: HETerogeneous vectorized or Parallel (HETPv1.0): an updated inorganic heterogeneous chemistry solver for the metastable-state NH
–Na
+–Ca
2+–K
+–Mg
2+–SO
–NO
–Cl
−–H
2O system based on ISORROPIA II, Geosci. Model Dev., 17, 2197–2219,
https://doi.org/10.5194/gmd-17-2197-2024, 2024.
a
Murphy, D. M., Cziczo, D. J., Froyd, K. D., Hudson, P. K., Matthew, B. M., Middlebrook, A. M., Peltier, R. E., Sullivan, A., Thomson, D. S., and Weber, R. J.: Single-particle mass spectrometry of tropospheric aerosol particles, J. Geophys. Res.-Atmos., 111, D23S32,
https://doi.org/10.1029/2006JD007340, 2006.
a
Pai, S. J., Heald, C. L., Pierce, J. R., Farina, S. C., Marais, E. A., Jimenez, J. L., Campuzano-Jost, P., Nault, B. A., Middlebrook, A. M., Coe, H., Shilling, J. E., Bahreini, R., Dingle, J. H., and Vu, K.: An evaluation of global organic aerosol schemes using airborne observations, Atmos. Chem. Phys., 20, 2637–2665,
https://doi.org/10.5194/acp-20-2637-2020, 2020.
a
Pankow, J. F. and Chang, E. I.: Variation in the Sensitivity of Predicted Levels of Atmospheric Organic Particulate Matter (OPM), Environ. Sci. Technol., 42, 7321–7329,
https://doi.org/10.1021/es8003377, 2008.
a
Park, R. J., Jacob, D. J., Field, B. D., Yantosca, R. M., and Chin, M.: Natural and transboundary pollution influences on sulfate-nitrate-ammonium aerosols in the United States: Implications for policy, J. Geophys. Res.-Atmos., 109, D15204,
https://doi.org/10.1029/2003JD004473, 2004.
a
Petters, M. D. and Kreidenweis, S. M.: A single parameter representation of hygroscopic growth and cloud condensation nucleus activity, Atmos. Chem. Phys., 7, 1961–1971,
https://doi.org/10.5194/acp-7-1961-2007, 2007.
a,
b
Pye, H. O. T., Chan, A. W. H., Barkley, M. P., and Seinfeld, J. H.: Global modeling of organic aerosol: the importance of reactive nitrogen (NO
x and NO
3), Atmos. Chem. Phys., 10, 11261–11276,
https://doi.org/10.5194/acp-10-11261-2010, 2010.
a,
b,
c,
d,
e,
f,
g
Pye, H. O. T., Murphy, B. N., Xu, L., Ng, N. L., Carlton, A. G., Guo, H., Weber, R., Vasilakos, P., Appel, K. W., Budisulistiorini, S. H., Surratt, J. D., Nenes, A., Hu, W., Jimenez, J. L., Isaacman-VanWertz, G., Misztal, P. K., and Goldstein, A. H.: On the implications of aerosol liquid water and phase separation for organic aerosol mass, Atmos. Chem. Phys., 17, 343–369,
https://doi.org/10.5194/acp-17-343-2017, 2017.
a
Rastak, N., Pajunoja, A., Acosta Navarro, J. C., Ma, J., Song, M., Partridge, D. G., Kirkevåg, A., Leong, Y., Hu, W. W., Taylor, N. F., Lambe, A., Cerully, K., Bougiatioti, A., Liu, P., Krejci, R., Petäjä, T., Percival, C., Davidovits, P., Worsnop, D. R., Ekman, A. M. L., Nenes, A., Martin, S., Jimenez, J. L., Collins, D. R., Topping, D. O., Bertram, A. K., Zuend, A., Virtanen, A., and Riipinen, I.: Microphysical explanation of the RH-dependent water affinity of biogenic organic aerosol and its importance for climate, Geophys. Res. Lett., 44, 5167–5177,
https://doi.org/10.1002/2017gl073056, 2017.
a,
b,
c
Sakulyanontvittaya, T., Duhl, T., Wiedinmyer, C., Helmig, D., Matsunaga, S., Potosnak, M., Milford, J., and Guenther, A.: Monoterpene and Sesquiterpene Emission Estimates for the United States, Environ. Sci. Technol., 42, 1623–1629,
https://doi.org/10.1021/es702274e, 2008.
a
Serrano Damha, C.: Binary Activity Thermodynamics volatility basis set (BAT-VBS) model (modern Fortran) – Public model code repository, GitHub [code],
https://github.com/CamiloSerranoDamha/BAT-VBS (last access: 5 March 2025), 2023a. a
Serrano Damha, C., Cummings, B. E., Schervish, M., Shiraiwa, M., Waring, M. S., and Zuend, A.: Capturing the Relative-Humidity-Sensitive Gas–Particle Partitioning of Organic Aerosols in a 2D Volatility Basis Set, Geophys. Res. Lett., 51, e2023GL106095,
https://doi.org/10.1029/2023GL106095, 2024.
a,
b,
c,
d,
e,
f,
g,
h,
i,
j,
k,
l
Shiraiwa, M., Ammann, M., Koop, T., and Pöschl, U.: Gas uptake and chemical aging of semisolid organic aerosol particles, P. Natl. Acad. Sci. USA, 108, 11003–11008,
https://doi.org/10.1073/pnas.1103045108, 2011.
a
Shiraiwa, M., Berkemeier, T., Schilling-Fahnestock, K. A., Seinfeld, J. H., and Pöschl, U.: Molecular corridors and kinetic regimes in the multiphase chemical evolution of secondary organic aerosol, Atmos. Chem. Phys., 14, 8323–8341,
https://doi.org/10.5194/acp-14-8323-2014, 2014.
a,
b,
c
Simon, H. and Bhave, P. V.: Simulating the degree of oxidation in atmospheric organic particles, Environ. Sci. Technol., 46, 331–339,
https://doi.org/10.1021/es202361w, 2012.
a
Surratt, J. D., Lewandowski, M., Offenberg, J. H., Jaoui, M., Kleindienst, T. E., Edney, E. O., and Seinfeld, J. H.: Effect of Acidity on Secondary Organic Aerosol Formation from Isoprene, Environ. Sci. Technol., 41, 5363–5369,
https://doi.org/10.1021/es0704176, 2007.
a
Trivitayanurak, W., Adams, P. J., Spracklen, D. V., and Carslaw, K. S.: Tropospheric aerosol microphysics simulation with assimilated meteorology: model description and intermodel comparison, Atmos. Chem. Phys., 8, 3149–3168,
https://doi.org/10.5194/acp-8-3149-2008, 2008.
a
U.S. Environmental Protection Agency: Air Quality System Data Mart,
https://www.epa.gov/outdoor-air-quality-data (last access: 6 January 2025), 2025.
a,
b
Volkamer, R., San Martini, F., Molina, L. T., Salcedo, D., Jimenez, J. L., and Molina, M. J.: A missing sink for gas-phase glyoxal in Mexico City: Formation of secondary organic aerosol, Geophys. Res. Lett., 34, L19807,
https://doi.org/10.1029/2007GL030752, 2007.
a
Wang, J., Shilling, J. E., Liu, J., Zelenyuk, A., Bell, D. M., Petters, M. D., Thalman, R., Mei, F., Zaveri, R. A., and Zheng, G.: Cloud droplet activation of secondary organic aerosol is mainly controlled by molecular weight, not water solubility, Atmos. Chem. Phys., 19, 941–954,
https://doi.org/10.5194/acp-19-941-2019, 2019.
a
Wang, Y. X., McElroy, M. B., Jacob, D. J., and Yantosca, R. M.: A nested grid formulation for chemical transport over Asia: Applications to CO, J. Geophys. Res.-Atmos., 109, D22307,
https://doi.org/10.1029/2004JD005237, 2004.
a
World Health Organization: WHO global air quality guidelines: particulate matter (PM
2.5 and PM
10), ozone, nitrogen dioxide, sulfur dioxide and carbon monoxide, World Health Organization, Geneva, ISBN 9789240034228 (electronic), 9789240034211 (print),
https://iris.who.int/handle/10665/345329 (last access: 5 March 2025), 2021. a
Yantosca, B., Sulprizio, M., Lundgren, L., Keller, C., kelvinhb, Fritz, T., Lin, H., 22degrees, Ridley, D., Bindle, L., michael-s long, Eastham, S. D., tsherwen, Downs, W., Fisher, J., Thackray, C., Holmes, C., GanLuo, Zhuang, J., Murray, L., SpaceMouse, Estrada, L. A., Shutter, J., noelleselin, Long, M., nicholasbalasus, xin-chen github, emily ramnarine, gianga, and Haskins, D. J.: geoschem/geos-chem: GEOS-Chem 14.2.3 (Version 14.2.3), Zenodo [code],
https://doi.org/10.5281/zenodo.10246546, 2023.
a
Yu, F. and Luo, G.: Simulation of particle size distribution with a global aerosol model: contribution of nucleation to aerosol and CCN number concentrations, Atmos. Chem. Phys., 9, 7691–7710,
https://doi.org/10.5194/acp-9-7691-2009, 2009.
a
Zhang, Q., Jimenez, J. L., Canagaratna, M. R., Allan, J. D., Coe, H., Ulbrich, I., Alfarra, M. R., Takami, A., Middlebrook, A. M., Sun, Y. L., Dzepina, K., Dunlea, E., Docherty, K., DeCarlo, P. F., Salcedo, D., Onasch, T., Jayne, J. T., Miyoshi, T., Shimono, A., Hatakeyama, S., Takegawa, N., Kondo, Y., Schneider, J., Drewnick, F., Borrmann, S., Weimer, S., Demerjian, K., Williams, P., Bower, K., Bahreini, R., Cottrell, L., Griffin, R. J., Rautiainen, J., Sun, J. Y., Zhang, Y. M., and Worsnop, D. R.: Ubiquity and dominance of oxygenated species in organic aerosols in anthropogenically-influenced Northern Hemisphere midlatitudes, Geophys. Res. Lett., 34, L13801,
https://doi.org/10.1029/2007GL029979, 2007.
a
Zuend, A.: Thermodynamics, Nonideal Mixing, and Phase Separation, in: Introduction to Aerosol Modelling: From Theory to Code, edited by Topping, D. and Bane, M., Chap. 3, John Wiley & Sons, Oxford, United Kingdom, 78–132, ISBN 978-1-119-62571-1, 2022a. a
Zuend, A.: Thermodynamics, Nonideal Mixing, and Phase Separation, book section 3, John Wiley & Sons, Oxford, United Kingdom, 78–132, ISBN 978-1-119-62571-1, 2022b. a
Zuend, A. and Seinfeld, J. H.: Modeling the gas-particle partitioning of secondary organic aerosol: the importance of liquid-liquid phase separation, Atmos. Chem. Phys., 12, 3857–3882,
https://doi.org/10.5194/acp-12-3857-2012, 2012.
a,
b
Zuend, A., Marcolli, C., Luo, B. P., and Peter, T.: A thermodynamic model of mixed organic-inorganic aerosols to predict activity coefficients, Atmos. Chem. Phys., 8, 4559–4593,
https://doi.org/10.5194/acp-8-4559-2008, 2008.
a,
b,
c
Zuend, A., Marcolli, C., Peter, T., and Seinfeld, J. H.: Computation of liquid-liquid equilibria and phase stabilities: implications for RH-dependent gas/particle partitioning of organic-inorganic aerosols, Atmos. Chem. Phys., 10, 7795–7820,
https://doi.org/10.5194/acp-10-7795-2010, 2010.
a,
b,
c
Zuend, A., Marcolli, C., Booth, A. M., Lienhard, D. M., Soonsin, V., Krieger, U. K., Topping, D. O., McFiggans, G., Peter, T., and Seinfeld, J. H.: New and extended parameterization of the thermodynamic model AIOMFAC: calculation of activity coefficients for organic-inorganic mixtures containing carboxyl, hydroxyl, carbonyl, ether, ester, alkenyl, alkyl, and aromatic functional groups, Atmos. Chem. Phys., 11, 9155–9206,
https://doi.org/10.5194/acp-11-9155-2011, 2011.
a,
b,
c
