Articles | Volume 16, issue 4
https://doi.org/10.5194/acp-16-2059-2016
https://doi.org/10.5194/acp-16-2059-2016
Research article
 | 
24 Feb 2016
Research article |  | 24 Feb 2016

Properties of young contrails – a parametrisation based on large-eddy simulations

Simon Unterstrasser

Related authors

High-resolution modelling of early contrail evolution from hydrogen-powered aircraft
Annemarie Lottermoser and Simon Unterstraßer
EGUsphere, https://doi.org/10.5194/egusphere-2024-3859,https://doi.org/10.5194/egusphere-2024-3859, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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
On numerical broadening of particle-size spectra: a condensational growth study using PyMPDATA 1.0
Michael A. Olesik, Jakub Banaśkiewicz, Piotr Bartman, Manuel Baumgartner, Simon Unterstrasser, and Sylwester Arabas
Geosci. Model Dev., 15, 3879–3899, https://doi.org/10.5194/gmd-15-3879-2022,https://doi.org/10.5194/gmd-15-3879-2022, 2022
Short summary
Box model trajectory studies of contrail formation using a particle-based cloud microphysics scheme
Andreas Bier, Simon Unterstrasser, and Xavier Vancassel
Atmos. Chem. Phys., 22, 823–845, https://doi.org/10.5194/acp-22-823-2022,https://doi.org/10.5194/acp-22-823-2022, 2022
Short summary
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
Geosci. Model Dev., 13, 5119–5145, https://doi.org/10.5194/gmd-13-5119-2020,https://doi.org/10.5194/gmd-13-5119-2020, 2020
Short summary

Related subject area

Subject: Clouds and Precipitation | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Role of a key microphysical factor in mixed-phase stratocumulus clouds and their interactions with aerosols
Seoung Soo Lee, Chang Hoon Jung, Jinho Choi, Young Jun Yoon, Junshik Um, Youtong Zheng, Jianping Guo, Manguttathil G. Manoj, and Sang-Keun Song
Atmos. Chem. Phys., 25, 705–726, https://doi.org/10.5194/acp-25-705-2025,https://doi.org/10.5194/acp-25-705-2025, 2025
Short summary
Correction of ERA5 temperature and relative humidity biases by bivariate quantile mapping for contrail formation analysis
Kevin Wolf, Nicolas Bellouin, Olivier Boucher, Susanne Rohs, and Yun Li
Atmos. Chem. Phys., 25, 157–181, https://doi.org/10.5194/acp-25-157-2025,https://doi.org/10.5194/acp-25-157-2025, 2025
Short summary
Can pollen affect precipitation?
Marje Prank, Juha Tonttila, Xiaoxia Shang, Sami Romakkaniemi, and Tomi Raatikainen
Atmos. Chem. Phys., 25, 183–197, https://doi.org/10.5194/acp-25-183-2025,https://doi.org/10.5194/acp-25-183-2025, 2025
Short summary
Potential impacts of marine fuel regulations on an Arctic stratocumulus case and its radiative response
Luís Filipe Escusa dos Santos, Hannah C. Frostenberg, Alejandro Baró Pérez, Annica M. L. Ekman, Luisa Ickes, and Erik S. Thomson
Atmos. Chem. Phys., 25, 119–142, https://doi.org/10.5194/acp-25-119-2025,https://doi.org/10.5194/acp-25-119-2025, 2025
Short summary
The impact of the mesh size and microphysics scheme on the representation of mid-level clouds in the ICON model in hilly and complex terrain
Nadja Omanovic, Brigitta Goger, and Ulrike Lohmann
Atmos. Chem. Phys., 24, 14145–14175, https://doi.org/10.5194/acp-24-14145-2024,https://doi.org/10.5194/acp-24-14145-2024, 2024
Short summary

Cited articles

Boucher, O., Randall, D., Artaxo, P., Bretherton, C., Feingold, G., Forster, P., Kerminen, V.-M., Kondo, Y., Liao, H., Lohmann, U., Rasch, P., Satheesh, S., Sherwood, S., Stevens, B., and Zhang, X.: Clouds and Aerosols, book section 7, 571–658, Cambridge University Press, Cambridge, UK and NY, USA, https://doi.org/10.1017/CBO9781107415324.016, 2013.
Burkhardt, U. and Kärcher, B.: Process-based simulation of contrail cirrus in a global climate model, J. Geophys. Res., 114, D16201, https://doi.org/10.1029/2008JD011491, 2009.
Burkhardt, U. and Kärcher, B.: Global radiative forcing from contrail cirrus, Nature Climate Change, 1, 54–58, 2011.
Chen, C.-C. and Gettelman, A.: Simulated radiative forcing from contrails and contrail cirrus, Atmos. Chem. Phys., 13, 12525–12536, https://doi.org/10.5194/acp-13-12525-2013, 2013.
Crow, S.: Stability theory for a pair of trailing vortices, AIAA J., 8, 2172–2179, 1970.
Download
Short summary
A large comprehensive data set of 3-D large eddy simulation (LES) of young contrails has been analysed. Parametrisations of the most important properties of young contrails, namely the ice crystal number and geometric depth, are provided taking into account the effect of many environmental and aircraft parameters. The parametrisation is suited to be incorporated in larger-scale models like GCMs.
Altmetrics
Final-revised paper
Preprint