Articles | Volume 17, issue 21
https://doi.org/10.5194/acp-17-13165-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-17-13165-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
07 Nov 2017
Research article |
| 07 Nov 2017
Unveiling aerosol–cloud interactions – Part 2: Minimising the effects of aerosol swelling and wet scavenging in ECHAM6-HAM2 for comparison to satellite data
David Neubauer
CORRESPONDING AUTHOR
Institute for Atmospheric and Climate Science, ETH Zurich, 8092
Zurich, Switzerland
Matthew W. Christensen
RAL Space, STFC Rutherford Appleton Lab, Harwell, OX11 0QX, UK
Atmospheric, Oceanic and Planetary Physics, University of Oxford,
Oxford, OX1 3PU, UK
Caroline A. Poulsen
RAL Space, STFC Rutherford Appleton Lab, Harwell, OX11 0QX, UK
Ulrike Lohmann
Institute for Atmospheric and Climate Science, ETH Zurich, 8092
Zurich, Switzerland
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- Cloud_cci ATSR-2 and AATSR data set version 3: a 17-year climatology of global cloud and radiation properties C. Poulsen et al. 10.5194/essd-12-2121-2020
- Realism of Lagrangian Large Eddy Simulations Driven by Reanalysis Meteorology: Tracking a Pocket of Open Cells Under a Biomass Burning Aerosol Layer J. Kazil et al. 10.1029/2021MS002664
- Evaluation of aerosol–cloud interactions in E3SM using a Lagrangian framework M. Christensen et al. 10.5194/acp-23-2789-2023
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- Evaluation of aerosol and cloud properties in three climate models using MODIS observations and its corresponding COSP simulator, as well as their application in aerosol–cloud interactions G. Saponaro et al. 10.5194/acp-20-1607-2020
- Investigating the sign of stratocumulus adjustments to aerosols in the ICON global storm-resolving model E. Fons et al. 10.5194/acp-24-8653-2024
- Surprising similarities in model and observational aerosol radiative forcing estimates E. Gryspeerdt et al. 10.5194/acp-20-613-2020
- A-Train estimates of the sensitivity of the cloud-to-rainwater ratio to cloud size, relative humidity, and aerosols K. Smalley & A. Rapp 10.5194/acp-21-2765-2021
- How Cloud Droplet Number Concentration Impacts Liquid Water Path and Precipitation in Marine Stratocumulus Clouds—A Satellite-Based Analysis Using Explainable Machine Learning L. Zipfel et al. 10.3390/atmos15050596
- Weak liquid water path response in ship tracks A. Tippett et al. 10.5194/acp-24-13269-2024
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- Mixed-phase regime cloud thinning could help restore sea ice D. Villanueva et al. 10.1088/1748-9326/aca16d
- Weak average liquid-cloud-water response to anthropogenic aerosols V. Toll et al. 10.1038/s41586-019-1423-9
- Addressing the difficulties in quantifying droplet number response to aerosol from satellite observations H. Jia et al. 10.5194/acp-22-7353-2022
- Space and ground-based remote sensing comparison of seasonal interaction of aerosol-cloud-precipitable water C. Anoruo 10.1016/j.atmosenv.2020.117864
- Machine-Learning Based Analysis of Liquid Water Path Adjustments to Aerosol Perturbations in Marine Boundary Layer Clouds Using Satellite Observations L. Zipfel et al. 10.3390/atmos13040586
- Bounding Global Aerosol Radiative Forcing of Climate Change N. Bellouin et al. 10.1029/2019RG000660
- Assessment of aerosol–cloud–radiation correlations in satellite observations, climate models and reanalysis F. Bender et al. 10.1007/s00382-018-4384-z
- The Radiative Forcing of Aerosol–Cloud Interactions in Liquid Clouds: Wrestling and Embracing Uncertainty J. Mülmenstädt & G. Feingold 10.1007/s40641-018-0089-y
- Modelling and Analysis of Aerosol and Cloud-Precipitable Water Inter-Hemispheric Interactions of Aerosol-Satellite Data Using Ground Observation C. Anoruo 10.1007/s41810-020-00078-y
22 citations as recorded by crossref.
- Significant Underestimation in the Optically Based Estimation of the Aerosol First Indirect Effect Induced by the Aerosol Swelling Effect J. Liu & Z. Li 10.1029/2018GL077679
- Constraining the aerosol influence on cloud liquid water path E. Gryspeerdt et al. 10.5194/acp-19-5331-2019
- Volcanic aerosols lend causality to the indicated substantial susceptibility of clouds to aerosol over global oceans X. Wang et al. 10.1038/s41612-025-00974-5
- Cloud_cci ATSR-2 and AATSR data set version 3: a 17-year climatology of global cloud and radiation properties C. Poulsen et al. 10.5194/essd-12-2121-2020
- Realism of Lagrangian Large Eddy Simulations Driven by Reanalysis Meteorology: Tracking a Pocket of Open Cells Under a Biomass Burning Aerosol Layer J. Kazil et al. 10.1029/2021MS002664
- Evaluation of aerosol–cloud interactions in E3SM using a Lagrangian framework M. Christensen et al. 10.5194/acp-23-2789-2023
- Unveiling aerosol–cloud interactions – Part 1: Cloud contamination in satellite products enhances the aerosol indirect forcing estimate M. Christensen et al. 10.5194/acp-17-13151-2017
- The role of anthropogenic aerosols in the anomalous cooling from 1960 to 1990 in the CMIP6 Earth system models J. Zhang et al. 10.5194/acp-21-18609-2021
- Interpretation of Aerosol Effects on Precipitation Susceptibility in Warm Clouds Inferred from Satellite Measurements and Model Evaluation over Northeast Asia S. Park & C. Kim 10.1175/JAS-D-20-0293.1
- Evaluation of aerosol and cloud properties in three climate models using MODIS observations and its corresponding COSP simulator, as well as their application in aerosol–cloud interactions G. Saponaro et al. 10.5194/acp-20-1607-2020
- Investigating the sign of stratocumulus adjustments to aerosols in the ICON global storm-resolving model E. Fons et al. 10.5194/acp-24-8653-2024
- Surprising similarities in model and observational aerosol radiative forcing estimates E. Gryspeerdt et al. 10.5194/acp-20-613-2020
- A-Train estimates of the sensitivity of the cloud-to-rainwater ratio to cloud size, relative humidity, and aerosols K. Smalley & A. Rapp 10.5194/acp-21-2765-2021
- How Cloud Droplet Number Concentration Impacts Liquid Water Path and Precipitation in Marine Stratocumulus Clouds—A Satellite-Based Analysis Using Explainable Machine Learning L. Zipfel et al. 10.3390/atmos15050596
- Weak liquid water path response in ship tracks A. Tippett et al. 10.5194/acp-24-13269-2024
- On the differences in the vertical distribution of modeled aerosol optical depth over the southeastern Atlantic I. Chang et al. 10.5194/acp-23-4283-2023
- Mixed-phase regime cloud thinning could help restore sea ice D. Villanueva et al. 10.1088/1748-9326/aca16d
- Weak average liquid-cloud-water response to anthropogenic aerosols V. Toll et al. 10.1038/s41586-019-1423-9
- Addressing the difficulties in quantifying droplet number response to aerosol from satellite observations H. Jia et al. 10.5194/acp-22-7353-2022
- Space and ground-based remote sensing comparison of seasonal interaction of aerosol-cloud-precipitable water C. Anoruo 10.1016/j.atmosenv.2020.117864
- Machine-Learning Based Analysis of Liquid Water Path Adjustments to Aerosol Perturbations in Marine Boundary Layer Clouds Using Satellite Observations L. Zipfel et al. 10.3390/atmos13040586
- Bounding Global Aerosol Radiative Forcing of Climate Change N. Bellouin et al. 10.1029/2019RG000660
3 citations as recorded by crossref.
- Assessment of aerosol–cloud–radiation correlations in satellite observations, climate models and reanalysis F. Bender et al. 10.1007/s00382-018-4384-z
- The Radiative Forcing of Aerosol–Cloud Interactions in Liquid Clouds: Wrestling and Embracing Uncertainty J. Mülmenstädt & G. Feingold 10.1007/s40641-018-0089-y
- Modelling and Analysis of Aerosol and Cloud-Precipitable Water Inter-Hemispheric Interactions of Aerosol-Satellite Data Using Ground Observation C. Anoruo 10.1007/s41810-020-00078-y
Latest update: 08 Apr 2025
Short summary
When aerosol particles take up water their number may seem to be increased optically. However if aerosol particles are removed by precipitation (formation) their numbers will decrease. We applied methods to account for such effects in model and satellite data to analyse the change in cloud properties by changes in aerosol particle number. The agreement of model and satellite data improves when these effects are accounted for.
When aerosol particles take up water their number may seem to be increased optically. However if...
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