Articles | Volume 22, issue 2
Atmos. Chem. Phys., 22, 823–845, 2022
Atmos. Chem. Phys., 22, 823–845, 2022
Research article
18 Jan 2022
Research article | 18 Jan 2022

Box model trajectory studies of contrail formation using a particle-based cloud microphysics scheme

Andreas Bier et al.

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Cited articles

Agarwal, A., Speth, R., Fritz, T., Jacob, S., Rindlisbacher, T., Iovinelli, R., Owen, B., Miake-Lye, R., Sabnis, J., and Barrett, S.: SCOPE11 method for estimating aircraft black carbon mass and particle number emissions, Environ. Sci. Technol., 53, 1364–1373,, 2019. a
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Barrett, J. C. and Clement, C. F.: Growth rates for liquid drops, J. Aerosol Sci., 19, 223–242,, 1988. a
Bier, A. and Burkhardt, U.: Variability in Contrail Ice Nucleation and Its Dependence on Soot Number Emissions, J. Geophys. Res., 124, 3384–3400,, 2019. a, b, c, d
Bier, A., Burkhardt, U., and Bock, L.: Synoptic Control of Contrail Cirrus Life Cycles and Their Modification Due to Reduced Soot Number Emissions, J. Geophys. Res., 122, 11584–11603,, 2017JD027011, 2017. a
Short summary
We investigate contrail formation in an aircraft plume with a particle-based multi-trajectory 0D model. Due to the high plume heterogeneity, contrail ice crystals form first near the plume edge and then in the plume centre. The number of ice crystals varies strongly with ambient conditions and soot properties near the contrail formation threshold. Our results imply that the multi-trajectory approach does not necessarily lead to improved scientific results compared to a single mean trajectory.
Final-revised paper