Articles | Volume 20, issue 9
https://doi.org/10.5194/acp-20-5657-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-5657-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 May 2020
Research article |
| 13 May 2020
| 13 May 2020
Detection and attribution of aerosol–cloud interactions in large-domain large-eddy simulations with the ICOsahedral Non-hydrostatic model
Montserrat Costa-Surós
CORRESPONDING AUTHOR
Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany
Odran Sourdeval
Institute for Meteorology, Universität zu Leipzig, Leipzig, Germany
Laboratoire d'Optique Atmosphérique, Université de Lille, Lille, France
Claudia Acquistapace
Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany
Holger Baars
Leibniz Institute for Tropospheric Research, Leipzig, Germany
Cintia Carbajal Henken
Institute for Space Sciences, Freie Universität Berlin, Berlin, Germany
Christa Genz
Institute for Meteorology, Universität zu Leipzig, Leipzig, Germany
Leibniz Institute for Tropospheric Research, Leipzig, Germany
Jonas Hesemann
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany
Cristofer Jimenez
Leibniz Institute for Tropospheric Research, Leipzig, Germany
Marcel König
Leibniz Institute for Tropospheric Research, Leipzig, Germany
Jan Kretzschmar
Institute for Meteorology, Universität zu Leipzig, Leipzig, Germany
Nils Madenach
Institute for Space Sciences, Freie Universität Berlin, Berlin, Germany
Catrin I. Meyer
Jülich Supercomputing Centre, Forschungszentrum Jülich, Jülich, Germany
Roland Schrödner
Leibniz Institute for Tropospheric Research, Leipzig, Germany
Patric Seifert
Leibniz Institute for Tropospheric Research, Leipzig, Germany
Fabian Senf
Leibniz Institute for Tropospheric Research, Leipzig, Germany
Matthias Brueck
The Atmosphere in the Earth System Department, Max Planck Institute for Meteorology, Hamburg, Germany
Guido Cioni
The Atmosphere in the Earth System Department, Max Planck Institute for Meteorology, Hamburg, Germany
Jan Frederik Engels
Application Support Department, Deutsches Klimarechenzentrum, Hamburg, Germany
Kerstin Fieg
Application Support Department, Deutsches Klimarechenzentrum, Hamburg, Germany
Ksenia Gorges
Application Support Department, Deutsches Klimarechenzentrum, Hamburg, Germany
Rieke Heinze
The Atmosphere in the Earth System Department, Max Planck Institute for Meteorology, Hamburg, Germany
Pavan Kumar Siligam
Application Support Department, Deutsches Klimarechenzentrum, Hamburg, Germany
Ulrike Burkhardt
Institut für Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt, Oberpfaffenhofen, Germany
Susanne Crewell
Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany
Corinna Hoose
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany
Axel Seifert
Deutscher Wetterdienst, Offenbach, Germany
Ina Tegen
Leibniz Institute for Tropospheric Research, Leipzig, Germany
Johannes Quaas
Institute for Meteorology, Universität zu Leipzig, Leipzig, Germany
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19 citations as recorded by crossref.
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- Estimation of cloud condensation nuclei number concentrations and comparison to in situ and lidar observations during the HOPE experiments C. Genz et al. 10.5194/acp-20-8787-2020
- Importance of aerosols and shape of the cloud droplet size distribution for convective clouds and precipitation C. Barthlott et al. 10.5194/acp-22-2153-2022
- Impacts of combined microphysical and land-surface uncertainties on convective clouds and precipitation in different weather regimes C. Barthlott et al. 10.5194/acp-22-10841-2022
- Cloud Characteristics and Their Effects on Solar Irradiance According to the ICON Model, CLOUDNET and BSRN Observations J. Shuvalova et al. 10.3390/atmos14121769
- Developing a climatological simplification of aerosols to enter the cloud microphysics of a global climate model U. Proske et al. 10.5194/acp-24-5907-2024
- Emulation of Forward Modeled Top-of-Atmosphere MODIS-Based Spectral Channels Using Machine Learning J. Gonzalez et al. 10.1109/JSTARS.2024.3507692
- Employing airborne radiation and cloud microphysics observations to improve cloud representation in ICON at kilometer-scale resolution in the Arctic J. Kretzschmar et al. 10.5194/acp-20-13145-2020
- The behavior of high-CAPE (convective available potential energy) summer convection in large-domain large-eddy simulations with ICON H. Rybka et al. 10.5194/acp-21-4285-2021
- Constraining the Twomey effect from satellite observations: issues and perspectives J. Quaas et al. 10.5194/acp-20-15079-2020
- Absorbing aerosol decreases cloud cover in cloud‐resolving simulations over Germany F. Senf et al. 10.1002/qj.4169
- Impact of Holuhraun volcano aerosols on clouds in cloud-system-resolving simulations M. Haghighatnasab et al. 10.5194/acp-22-8457-2022
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- Long-term spatial and temporal evaluation of the PM2.5 and PM10 mass concentrations in Lithuania M. Davtalab et al. 10.1016/j.apr.2023.101951
19 citations as recorded by crossref.
- Cloudy with a chance of precision: satellite’s autoconversion rates forecasting powered by machine learning M. Novitasari et al. 10.1017/eds.2024.24
- Meteorological, impact and climate perspectives of the 29 June 2017 heavy precipitation event in the Berlin metropolitan area A. Caldas-Alvarez et al. 10.5194/nhess-22-3701-2022
- Estimation of cloud condensation nuclei number concentrations and comparison to in situ and lidar observations during the HOPE experiments C. Genz et al. 10.5194/acp-20-8787-2020
- Importance of aerosols and shape of the cloud droplet size distribution for convective clouds and precipitation C. Barthlott et al. 10.5194/acp-22-2153-2022
- Impacts of combined microphysical and land-surface uncertainties on convective clouds and precipitation in different weather regimes C. Barthlott et al. 10.5194/acp-22-10841-2022
- Cloud Characteristics and Their Effects on Solar Irradiance According to the ICON Model, CLOUDNET and BSRN Observations J. Shuvalova et al. 10.3390/atmos14121769
- Developing a climatological simplification of aerosols to enter the cloud microphysics of a global climate model U. Proske et al. 10.5194/acp-24-5907-2024
- Emulation of Forward Modeled Top-of-Atmosphere MODIS-Based Spectral Channels Using Machine Learning J. Gonzalez et al. 10.1109/JSTARS.2024.3507692
- Employing airborne radiation and cloud microphysics observations to improve cloud representation in ICON at kilometer-scale resolution in the Arctic J. Kretzschmar et al. 10.5194/acp-20-13145-2020
- The behavior of high-CAPE (convective available potential energy) summer convection in large-domain large-eddy simulations with ICON H. Rybka et al. 10.5194/acp-21-4285-2021
- Constraining the Twomey effect from satellite observations: issues and perspectives J. Quaas et al. 10.5194/acp-20-15079-2020
- Absorbing aerosol decreases cloud cover in cloud‐resolving simulations over Germany F. Senf et al. 10.1002/qj.4169
- Impact of Holuhraun volcano aerosols on clouds in cloud-system-resolving simulations M. Haghighatnasab et al. 10.5194/acp-22-8457-2022
- Cloudy with a chance of uncertainty: autoconversion rates forecasting via evidential regression from satellite data M. Novitasari et al. 10.1017/eds.2024.37
- Uncertainties in cloud-radiative heating within an idealized extratropical cyclone B. Keshtgar et al. 10.5194/acp-24-4751-2024
- Overview: Fusion of radar polarimetry and numerical atmospheric modelling towards an improved understanding of cloud and precipitation processes S. Trömel et al. 10.5194/acp-21-17291-2021
- Robust evidence for reversal of the trend in aerosol effective climate forcing J. Quaas et al. 10.5194/acp-22-12221-2022
- Exploring Satellite-Derived Relationships between Cloud Droplet Number Concentration and Liquid Water Path Using a Large-Domain Large-Eddy Simulation S. Dipu et al. 10.16993/tellusb.27
- Long-term spatial and temporal evaluation of the PM2.5 and PM10 mass concentrations in Lithuania M. Davtalab et al. 10.1016/j.apr.2023.101951
Latest update: 22 May 2025
Short summary
The impact of anthropogenic aerosols on clouds is a key uncertainty in climate change. This study analyses large-domain simulations with a new high-resolution model to investigate the differences in clouds between 1985 and 2013 comparing multiple observational datasets. The differences in aerosol and in cloud droplet concentrations are clearly detectable. For other quantities, the detection and attribution proved difficult, despite a substantial impact on the Earth's energy budget.
The impact of anthropogenic aerosols on clouds is a key uncertainty in climate change. This...
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