Articles | Volume 7, issue 5
Model description paper
14 Oct 2014
Model description paper |  | 14 Oct 2014

Droplet activation parameterization: the population-splitting concept revisited

R. Morales Betancourt and A. Nenes

Related authors

Long-term brown carbon and smoke tracer observations in Bogotá, Colombia: association with medium-range transport of biomass burning plumes
Juan Manuel Rincón-Riveros, Maria Alejandra Rincón-Caro, Amy P. Sullivan, Juan Felipe Mendez-Espinosa, Luis Carlos Belalcazar, Miguel Quirama Aguilar, and Ricardo Morales Betancourt
Atmos. Chem. Phys., 20, 7459–7472,,, 2020
Short summary
Understanding cirrus ice crystal number variability for different heterogeneous ice nucleation spectra
Sylvia C. Sullivan, Ricardo Morales Betancourt, Donifan Barahona, and Athanasios Nenes
Atmos. Chem. Phys., 16, 2611–2629,,, 2016
Short summary
Understanding the contributions of aerosol properties and parameterization discrepancies to droplet number variability in a global climate model
R. Morales Betancourt and A. Nenes
Atmos. Chem. Phys., 14, 4809–4826,,, 2014

Related subject area

Atmospheric sciences
Importance of microphysical settings for climate forcing by stratospheric SO2 injections as modeled by SOCOL-AERv2
Sandro Vattioni, Andrea Stenke, Beiping Luo, Gabriel Chiodo, Timofei Sukhodolov, Elia Wunderlin, and Thomas Peter
Geosci. Model Dev., 17, 4181–4197,,, 2024
Short summary
Assessment of surface ozone products from downscaled CAMS reanalysis and CAMS daily forecast using urban air quality monitoring stations in Iran
Najmeh Kaffashzadeh and Abbas-Ali Aliakbari Bidokhti
Geosci. Model Dev., 17, 4155–4179,,, 2024
Short summary
Open boundary conditions for atmospheric large-eddy simulations and their implementation in DALES4.4
Franciscus Liqui Lung, Christian Jakob, A. Pier Siebesma, and Fredrik Jansson
Geosci. Model Dev., 17, 4053–4076,,, 2024
Short summary
Efficient and stable coupling of the SuperdropNet deep-learning-based cloud microphysics (v0.1.0) with the ICON climate and weather model (v2.6.5)
Caroline Arnold, Shivani Sharma, Tobias Weigel, and David S. Greenberg
Geosci. Model Dev., 17, 4017–4029,,, 2024
Short summary
Three-dimensional variational assimilation with a multivariate background error covariance for the Model for Prediction Across Scales – Atmosphere with the Joint Effort for Data assimilation Integration (JEDI-MPAS 2.0.0-beta)
Byoung-Joo Jung, Benjamin Ménétrier, Chris Snyder, Zhiquan Liu, Jonathan J. Guerrette, Junmei Ban, Ivette Hernández Baños, Yonggang G. Yu, and William C. Skamarock
Geosci. Model Dev., 17, 3879–3895,,, 2024
Short summary

Cited articles

Abdul-Razzak, H. and Ghan, S.: A parameterization of aerosol activation: 2. Multiple aerosol types, J. Geophys. Res., 105, 6837–6844, 2000.
Abdul-Razzak, H., Ghan, S., and Rivera-Carpio, C.: A parameterization of aerosol activation: 1. Single aerosol type, J. Geophys. Res., 103, 6123–6131, 1998.
Barahona, D. and Nenes, A.: Parameterization of cloud droplet formation in large-scale models: Including effects of entrainment, J. Geophys. Res., 112, D16206,, 2007.
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.
Chuang, P. Y., Charlson, R. J., and Seinfeld, J. H.: Kinetic limitations on droplet formation in clouds, Nature, 390, 594–596, 1997.