Articles | Volume 11, issue 8
Geosci. Model Dev., 11, 3261–3278, 2018

Special issue: BACCHUS – Impact of Biogenic versus Anthropogenic emissions...

Geosci. Model Dev., 11, 3261–3278, 2018

Model description paper 13 Aug 2018

Model description paper | 13 Aug 2018

A parameterisation for the co-condensation of semi-volatile organics into multiple aerosol particle modes

Matthew Crooks et al.

Related authors

Uncertainty in aerosol hygroscopicity resulting from semi-volatile organic compounds
Olivia Goulden, Matthew Crooks, and Paul Connolly
Atmos. Chem. Phys., 18, 275–287,,, 2018
Short summary
Equilibrium absorptive partitioning theory between multiple aerosol particle modes
Matthew Crooks, Paul Connolly, David Topping, and Gordon McFiggans
Geosci. Model Dev., 9, 3617–3637,,, 2016
Short summary

Related subject area

Atmospheric sciences
A model for urban biogenic CO2 fluxes: Solar-Induced Fluorescence for Modeling Urban biogenic Fluxes (SMUrF v1)
Dien Wu, John C. Lin, Henrique F. Duarte, Vineet Yadav, Nicholas C. Parazoo, Tomohiro Oda, and Eric A. Kort
Geosci. Model Dev., 14, 3633–3661,,, 2021
Short summary
OpenIFS@home version 1: a citizen science project for ensemble weather and climate forecasting
Sarah Sparrow, Andrew Bowery, Glenn D. Carver, Marcus O. Köhler, Pirkka Ollinaho, Florian Pappenberger, David Wallom, and Antje Weisheimer
Geosci. Model Dev., 14, 3473–3486,,, 2021
Short summary
Regional CO2 inversions with LUMIA, the Lund University Modular Inversion Algorithm, v1.0
Guillaume Monteil and Marko Scholze
Geosci. Model Dev., 14, 3383–3406,,, 2021
Short summary
The Detailed Emissions Scaling, Isolation, and Diagnostic (DESID) module in the Community Multiscale Air Quality (CMAQ) modeling system version 5.3.2
Benjamin N. Murphy, Christopher G. Nolte, Fahim Sidi, Jesse O. Bash, K. Wyat Appel, Carey Jang, Daiwen Kang, James Kelly, Rohit Mathur, Sergey Napelenok, George Pouliot, and Havala O. T. Pye
Geosci. Model Dev., 14, 3407–3420,,, 2021
Short summary
Evaluation of the dynamic core of the PALM model system 6.0 in a neutrally stratified urban environment: comparison between LES and wind-tunnel experiments
Tobias Gronemeier, Kerstin Surm, Frank Harms, Bernd Leitl, Björn Maronga, and Siegfried Raasch
Geosci. Model Dev., 14, 3317–3333,,, 2021
Short summary

Cited articles

Abdul-Razzak, H. and Ghan, S.: A parameterisation for the activation 2. multiple aerosol types, J. Geophys. Res., 105, 6837–6844, 2000.
Abdul-Razzak, H., Ghan, S., and Rivera-Carpio, C.: A parameterisation for the activation 1. single aerosol type, J. Geophys. Res., 103, 6123–6131, 1998.
Allen, J., Dookeran, N., Smith, K., and Sarofim, A.: Measurement of polycyclic aromatic hydrocarbons associated with size-segregated atmospheric aerosols in Massachusetts, Environ. Sci. Technol., 30, 1023–1031, 1996.
Andreae, M. O. and Crutzen, P. J.: Atmospheric aerosols: biogeochemical sources and role in atmospheric chemistry, Science, 276, 1052–1058, 1997.
Barahona, D., West, R. E. L., Stier, P., Romakkaniemi, S., Kokkola, H., and Nenes, A.: Comprehensively accounting for the effect of giant CCN in cloud activation parameterizations, Atmos. Chem. Phys., 10, 2467–2473,, 2010.
Short summary
Clouds form when water condenses onto particles in the atmosphere and the size and chemical composition of these particles can have a large influence over how much water condenses and the subsequent formation of cloud. Additional gases exist in the atmosphere that can condense onto the aerosol particles and change their composition. We present a fast and efficient method of calculating the effect of atmospheric gases on the formation of cloud that can be used in climate and weather models.