Articles | Volume 13, issue 11
https://doi.org/10.5194/gmd-13-5119-2020
https://doi.org/10.5194/gmd-13-5119-2020
Development and technical paper
 | 
30 Oct 2020
Development and technical paper |  | 30 Oct 2020

Collisional growth in a particle-based cloud microphysical model: insights from column model simulations using LCM1D (v1.0)

Simon Unterstrasser, Fabian Hoffmann, and Marion Lerch

Related authors

Contrail formation for aircraft with hydrogen combustion – Part 2: Engine-related aspects
Josef Zink and Simon Unterstrasser
EGUsphere, https://doi.org/10.5194/egusphere-2025-3708,https://doi.org/10.5194/egusphere-2025-3708, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Contrail formation for aircraft with hydrogen combustion – Part 1: A systematic microphysical investigation
Josef Zink, Simon Unterstrasser, and Ulrike Burkhardt
EGUsphere, https://doi.org/10.5194/egusphere-2025-3704,https://doi.org/10.5194/egusphere-2025-3704, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
High-resolution modeling of early contrail evolution from hydrogen-powered aircraft
Annemarie Lottermoser and Simon Unterstrasser
Atmos. Chem. Phys., 25, 7903–7924, https://doi.org/10.5194/acp-25-7903-2025,https://doi.org/10.5194/acp-25-7903-2025, 2025
Short summary
In-flight emission measurements with an autonomous payload behind a turboprop aircraft
Gregor Neumann, Andreas Marsing, Theresa Harlass, Daniel Sauer, Simon Braun, Magdalena Pühl, Christopher Heckl, Paul Stock, Elena De La Torre Castro, Valerian Hahn, Anke Roiger, Christiane Voigt, Simon Unterstraßer, Jean Cammas, Charles Renard, Roberta Vasenden, Arnold Vasenden, and Tina Jurkat-Witschas
EGUsphere, https://doi.org/10.5194/egusphere-2025-2026,https://doi.org/10.5194/egusphere-2025-2026, 2025
Short summary
Contrail formation on ambient aerosol particles for aircraft with hydrogen combustion: a box model trajectory study
Andreas Bier, Simon Unterstrasser, Josef Zink, Dennis Hillenbrand, Tina Jurkat-Witschas, and Annemarie Lottermoser
Atmos. Chem. Phys., 24, 2319–2344, https://doi.org/10.5194/acp-24-2319-2024,https://doi.org/10.5194/acp-24-2319-2024, 2024
Short summary

Cited articles

Alfonso, L. and Raga, G. B.: The impact of fluctuations and correlations in droplet growth by collision–coalescence revisited – Part 1: Numerical calculation of post-gel droplet size distribution, Atmos. Chem. Phys., 17, 6895–6905, https://doi.org/10.5194/acp-17-6895-2017, 2017. a, b
Alfonso, L., Raga, G. B., and Baumgardner, D.: The validity of the kinetic collection equation revisited, Atmos. Chem. Phys., 8, 969–982, https://doi.org/10.5194/acp-8-969-2008, 2008. a
Andrejczuk, M., Reisner, J. M., Henson, B., Dubey, M. K., and Jeffery, C. A.: The potential impacts of pollution on a nondrizzling stratus deck: Does aerosol number matter more than type?, J. Geophys. Res., 113, D19204, https://doi.org/10.1029/2007JD009445, 2008. a
Andrejczuk, M., Grabowski, W. W., Reisner, J., and Gadian, A.: Cloud-aerosol interactions for boundary layer stratocumulus in the Lagrangian cloud model, J. Geophys. Res., 115, D22214, https://doi.org/10.1029/2010JD014248, 2010. a
Arabas, S., Jaruga, A., Pawlowska, H., and Grabowski, W. W.: libcloudph++ 1.0: a single-moment bulk, double-moment bulk, and particle-based warm-rain microphysics library in C++, Geosci. Model Dev., 8, 1677–1707, https://doi.org/10.5194/gmd-8-1677-2015, 2015. a, b
Download
Short summary
Particle-based cloud models use simulation particles for the representation of cloud particles like droplets or ice crystals. The collision and merging of cloud particles (i.e. collisional growth a.k.a. collection in the case of cloud droplets and aggregation in the case of ice crystals) was found to be a numerically challenging process in such models. The study presents verification exercises in a 1D column model, where sedimentation and collisional growth are the only active processes.
Share