Articles | Volume 11, issue 10
https://doi.org/10.5194/gmd-11-4021-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-4021-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
05 Oct 2018
Development and technical paper |
| 05 Oct 2018
Implementation of a comprehensive ice crystal formation parameterization for cirrus and mixed-phase clouds in the EMAC model (based on MESSy 2.53)
Atmospheric Chemistry Department, Max Planck Institute for Chemistry, Mainz, Germany
Sylvia C. Sullivan
School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, USA
Vlassis A. Karydis
Atmospheric Chemistry Department, Max Planck Institute for Chemistry, Mainz, Germany
now at: Institute for Energy and Climate Research – 8, Forschungszentrum Jülich, Jülich, Germany
Donifan Barahona
NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Martina Krämer
Institute for Energy and Climate Research – 7, Forschungszentrum Jülich, Jülich, Germany
Athanasios Nenes
School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, USA
School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, USA
ICE-HT, Foundation for Research and Technology, Hellas, Greece
IERSD, National Observatory of Athens, Athens, Greece
Laboratory of Atmospheric Processes and Their Impacts, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
Holger Tost
Institute for Atmospheric Physics, Johannes Gutenberg University Mainz, Mainz, Germany
Alexandra P. Tsimpidi
Atmospheric Chemistry Department, Max Planck Institute for Chemistry, Mainz, Germany
Jos Lelieveld
Atmospheric Chemistry Department, Max Planck Institute for Chemistry, Mainz, Germany
Energy, Environment and Water Research Center, The Cyprus Institute, Nicosia, Cyprus
Andrea Pozzer
Atmospheric Chemistry Department, Max Planck Institute for Chemistry, Mainz, Germany
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Cited
9 citations as recorded by crossref.
- A microphysics guide to cirrus – Part 2: Climatologies of clouds and humidity from observations M. Krämer et al. 10.5194/acp-20-12569-2020
- Modeling the aerosol chemical composition of the tropopause over the Tibetan Plateau during the Asian summer monsoon J. Ma et al. 10.5194/acp-19-11587-2019
- Cold cloud microphysical process rates in a global chemistry–climate model S. Bacer et al. 10.5194/acp-21-1485-2021
- Weaker cooling by aerosols due to dust–pollution interactions K. Klingmüller et al. 10.5194/acp-20-15285-2020
- Numerical simulation of the impact of COVID-19 lockdown on tropospheric composition and aerosol radiative forcing in Europe S. Reifenberg et al. 10.5194/acp-22-10901-2022
- A Stochastic Representation of Temperature Fluctuations Induced by Mesoscale Gravity Waves B. Kärcher & A. Podglajen 10.1029/2019JD030680
- How alkaline compounds control atmospheric aerosol particle acidity V. Karydis et al. 10.5194/acp-21-14983-2021
- Coupling aerosols to (cirrus) clouds in the global EMAC-MADE3 aerosol–climate model M. Righi et al. 10.5194/gmd-13-1635-2020
- ORACLE 2-D (v2.0): an efficient module to compute the volatility and oxygen content of organic aerosol with a global chemistry–climate model A. Tsimpidi et al. 10.5194/gmd-11-3369-2018
8 citations as recorded by crossref.
- A microphysics guide to cirrus – Part 2: Climatologies of clouds and humidity from observations M. Krämer et al. 10.5194/acp-20-12569-2020
- Modeling the aerosol chemical composition of the tropopause over the Tibetan Plateau during the Asian summer monsoon J. Ma et al. 10.5194/acp-19-11587-2019
- Cold cloud microphysical process rates in a global chemistry–climate model S. Bacer et al. 10.5194/acp-21-1485-2021
- Weaker cooling by aerosols due to dust–pollution interactions K. Klingmüller et al. 10.5194/acp-20-15285-2020
- Numerical simulation of the impact of COVID-19 lockdown on tropospheric composition and aerosol radiative forcing in Europe S. Reifenberg et al. 10.5194/acp-22-10901-2022
- A Stochastic Representation of Temperature Fluctuations Induced by Mesoscale Gravity Waves B. Kärcher & A. Podglajen 10.1029/2019JD030680
- How alkaline compounds control atmospheric aerosol particle acidity V. Karydis et al. 10.5194/acp-21-14983-2021
- Coupling aerosols to (cirrus) clouds in the global EMAC-MADE3 aerosol–climate model M. Righi et al. 10.5194/gmd-13-1635-2020
Latest update: 23 Sep 2023
Short summary
The complexity of ice nucleation mechanisms and aerosol--ice interactions makes their representation still challenging in atmospheric models. We have implemented a comprehensive ice crystal formation parameterization in the global chemistry-climate model EMAC to improve the representation of ice crystal number concentrations. The newly implemented parameterization takes into account processes which were previously neglected by the standard version of the model.
The complexity of ice nucleation mechanisms and aerosol--ice interactions makes their...
