Articles | Volume 20, issue 23
https://doi.org/10.5194/acp-20-15079-2020
© 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-20-15079-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| 
04 Dec 2020
Review article |
| 04 Dec 2020
| 04 Dec 2020
Constraining the Twomey effect from satellite observations: issues and perspectives
Johannes Quaas
CORRESPONDING AUTHOR
Leipzig Institute for Meteorology, Universität Leipzig, Leipzig, Germany
Antti Arola
Finnish Meteorological Institute, Kuopio,Finland
Brian Cairns
NASA Goddard Institute for Space Studies, New York, USA
Matthew Christensen
Department of Physics, University of Oxford, Oxford, UK
Hartwig Deneke
Leibniz Institute for Tropospheric Research, Leipzig, Germany
Annica M. L. Ekman
Department of Meteorology and Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden
Graham Feingold
NOAA Earth System Laboratories, Chemical Science Laboratory, Boulder, USA
Ann Fridlind
NASA Goddard Institute for Space Studies, New York, USA
Edward Gryspeerdt
Space and Atmospheric Physics Group, Imperial College London, UK
Otto Hasekamp
SRON Netherlands Institute for Space Research, Utrecht, the Netherlands
Zhanqing Li
Earth System Science Interdisciplinary Center and Department of Atmospheric and Oceanic Science, University of Maryland, College Park, USA
Antti Lipponen
Finnish Meteorological Institute, Kuopio,Finland
Po-Lun Ma
Pacific Northwest National Laboratory, Richland, USA
Johannes Mülmenstädt
Pacific Northwest National Laboratory, Richland, USA
Athanasios Nenes
School of Architecture, Civil & Environmental Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
Institute of Chemical Engineering Sciences, Foundation for Research and Technology Hellas, Patras, Greece
Joyce E. Penner
Department of Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, USA
Daniel Rosenfeld
Institute of Earth Sciences, Hebrew University of Jerusalem, Jerusalem, Israel
Roland Schrödner
Leibniz Institute for Tropospheric Research, Leipzig, Germany
Kenneth Sinclair
NASA Goddard Institute for Space Studies, New York, USA
Department of Earth and Environmental Engineering, Universities Space Research Association (USRA), Columbia, MD 21046, USA
Odran Sourdeval
Université de Lille, CNRS, UMR 8518 – LOA – Laboratoire d'Optique Atmosphérique, Lille, France
Philip Stier
Department of Physics, University of Oxford, Oxford, UK
Matthias Tesche
Leipzig Institute for Meteorology, Universität Leipzig, Leipzig, Germany
Bastiaan van Diedenhoven
NASA Goddard Institute for Space Studies, New York, USA
Manfred Wendisch
Leipzig Institute for Meteorology, Universität Leipzig, Leipzig, Germany
Viewed
Total article views: 5,955 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 May 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 4,271 | 1,611 | 73 | 5,955 | 79 | 79 |
- HTML: 4,271
- PDF: 1,611
- XML: 73
- Total: 5,955
- BibTeX: 79
- EndNote: 79
Total article views: 4,395 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 04 Dec 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,313 | 1,028 | 54 | 4,395 | 63 | 62 |
- HTML: 3,313
- PDF: 1,028
- XML: 54
- Total: 4,395
- BibTeX: 63
- EndNote: 62
Total article views: 1,560 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 May 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 958 | 583 | 19 | 1,560 | 16 | 17 |
- HTML: 958
- PDF: 583
- XML: 19
- Total: 1,560
- BibTeX: 16
- EndNote: 17
Viewed (geographical distribution)
Total article views: 5,955 (including HTML, PDF, and XML)
Thereof 5,983 with geography defined
and -28 with unknown origin.
Total article views: 4,395 (including HTML, PDF, and XML)
Thereof 4,461 with geography defined
and -66 with unknown origin.
Total article views: 1,560 (including HTML, PDF, and XML)
Thereof 1,522 with geography defined
and 38 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
56 citations as recorded by crossref.
- Constraining effects of aerosol-cloud interaction by accounting for coupling between cloud and land surface T. Su et al. 10.1126/sciadv.adl5044
- Atmospheric nanoparticle growth D. Stolzenburg et al. 10.1103/RevModPhys.95.045002
- Uncertainty in aerosol–cloud radiative forcing is driven by clean conditions E. Gryspeerdt et al. 10.5194/acp-23-4115-2023
- Retrieval and validation of cloud condensation nuclei from satellite and airborne measurements over the Indian Monsoon region A. Aravindhavel et al. 10.1016/j.atmosres.2023.106802
- Significant underestimation of radiative forcing by aerosol–cloud interactions derived from satellite-based methods H. Jia et al. 10.1038/s41467-021-23888-1
- A first global height-resolved cloud condensation nuclei data set derived from spaceborne lidar measurements G. Choudhury & M. Tesche 10.5194/essd-15-3747-2023
- Spatial Aggregation of Satellite Observations Leads to an Overestimation of the Radiative Forcing due to Aerosol‐Cloud Interactions T. Goren et al. 10.1029/2023GL105282
- A cloud-by-cloud approach for studying aerosol–cloud interaction in satellite observations F. Alexandri et al. 10.5194/amt-17-1739-2024
- Assessment of CALIOP-Derived CCN Concentrations by In Situ Surface Measurements G. Choudhury & M. Tesche 10.3390/rs14143342
- Addressing the difficulties in quantifying droplet number response to aerosol from satellite observations H. Jia et al. 10.5194/acp-22-7353-2022
- Meteorological Conditions Favorable for Strong Anthropogenic Aerosol Impacts on Clouds H. Trofimov et al. 10.1029/2021JD035871
- 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
- Do Optically Denser Trade‐Wind Cumuli Live Longer? T. Seelig et al. 10.1029/2023GL103339
- Present-day correlations are insufficient to predict cloud albedo change by anthropogenic aerosols in E3SM v2 N. Mahfouz et al. 10.5194/acp-24-7253-2024
- Robust evidence for reversal of the trend in aerosol effective climate forcing J. Quaas et al. 10.5194/acp-22-12221-2022
- Complex interplay of sulfate aerosols and meteorology conditions on precipitation and latent heat vertical structure H. Zhu et al. 10.1038/s41612-024-00743-w
- 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
- General circulation models simulate negative liquid water path–droplet number correlations, but anthropogenic aerosols still increase simulated liquid water path J. Mülmenstädt et al. 10.5194/acp-24-7331-2024
- Evaluation of aerosol–cloud interactions in E3SM using a Lagrangian framework M. Christensen et al. 10.5194/acp-23-2789-2023
- Understanding Controlling Factors of Extratropical Humidity and Clouds with an Idealized General Circulation Model M. Frazer & Y. Ming 10.1175/JCLI-D-21-0580.1
- TrackMatcher – a tool for finding intercepts in tracks of geographical positions P. Bräuer & M. Tesche 10.5194/gmd-15-7557-2022
- Diurnal Evolution of Cloud Water Responses to Aerosols J. Rahu et al. 10.1029/2021JD035091
- Evaluation of liquid cloud albedo susceptibility in E3SM using coupled eastern North Atlantic surface and satellite retrievals A. Varble et al. 10.5194/acp-23-13523-2023
- A seven-year-based characterization of aerosol light scattering properties at a rural central European site L. Suchánková et al. 10.1016/j.atmosenv.2023.120292
- Distinct Diurnal Cycle of Supercooled Water Cloud Fraction Dominated by Dust Extinction Coefficient Y. Wang et al. 10.1029/2021GL097006
- Aerosol–stratocumulus interactions: towards a better process understanding using closures between observations and large eddy simulations S. Calderón et al. 10.5194/acp-22-12417-2022
- Exploring aerosol–cloud interactions in liquid-phase clouds over eastern China and its adjacent ocean using the WRF-Chem–SBM model J. Zhao et al. 10.5194/acp-24-9101-2024
- Emission Reductions Significantly Reduce the Hemispheric Contrast in Cloud Droplet Number Concentration in Recent Two Decades Y. Cao et al. 10.1029/2022JD037417
- Cloud Characteristics and Their Effects on Solar Irradiance According to the ICON Model, CLOUDNET and BSRN Observations J. Shuvalova et al. 10.3390/atmos14121769
- On the retrieval of cloud optical thickness from spectral radiances - A sensitivity study with high albedo surfaces F. Calì Quaglia et al. 10.1016/j.jqsrt.2024.109108
- MAGARA: a Multi-Angle Geostationary Aerosol Retrieval Algorithm J. Limbacher et al. 10.5194/amt-17-471-2024
- Aerosol-Cloud-Precipitation Interactions in a Closed-cell and Non-homogenous MBL Stratocumulus Cloud X. Zheng et al. 10.1007/s00376-022-2013-6
- Optically thin clouds in the trades T. Mieslinger et al. 10.5194/acp-22-6879-2022
- Aerosol retrieval over snow using the RemoTAP algorithm Z. Zhang et al. 10.5194/amt-16-6051-2023
- Impact of Cloud Condensation Nuclei Reduction on Cloud Characteristics and Solar Radiation during COVID-19 Lockdown 2020 in Moscow J. Shuvalova et al. 10.3390/atmos13101710
- Cloud detection from multi-angular polarimetric satellite measurements using a neural network ensemble approach Z. Yuan et al. 10.5194/amt-17-2595-2024
- Recent improvements and maximum covariance analysis of aerosol and cloud properties in the EC-Earth3-AerChem model M. Thomas et al. 10.5194/gmd-17-6903-2024
- The Fall and Rise of the Global Climate Model J. Mülmenstädt & L. Wilcox 10.1029/2021MS002781
- Strong Aerosol Effects on Cloud Amount Based on Long‐Term Satellite Observations Over the East Coast of the United States Y. Cao et al. 10.1029/2020GL091275
- Machine Learning Approach to Investigating the Relative Importance of Meteorological and Aerosol-Related Parameters in Determining Cloud Microphysical Properties F. Bender et al. 10.16993/tellusb.1868
- Factors affecting precipitation formation and precipitation susceptibility of marine stratocumulus with variable above- and below-cloud aerosol concentrations over the Southeast Atlantic S. Gupta et al. 10.5194/acp-22-2769-2022
- Incorporation of aerosol into the COSPv2 satellite lidar simulator for climate model evaluation M. Bonazzola et al. 10.5194/gmd-16-1359-2023
- 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
- Algorithm evaluation for polarimetric remote sensing of atmospheric aerosols O. Hasekamp et al. 10.5194/amt-17-1497-2024
- Liquid Containing Clouds at the North Slope of Alaska Demonstrate Sensitivity to Local Industrial Aerosol Emissions M. Maahn et al. 10.1029/2021GL094307
- Life Cycle of Shallow Marine Cumulus Clouds From Geostationary Satellite Observations T. Seelig et al. 10.1029/2021JD035577
- Retrieval of aerosol microphysical properties from atmospheric lidar sounding: an investigation using synthetic measurements and data from the ACEPOL campaign W. McLean et al. 10.5194/amt-14-4755-2021
- In situ and satellite-based estimates of cloud properties and aerosol–cloud interactions over the southeast Atlantic Ocean S. Gupta et al. 10.5194/acp-22-12923-2022
- Cloud condensation nuclei concentrations derived from the CAMS reanalysis K. Block et al. 10.5194/essd-16-443-2024
- Substantial cooling effect from aerosol-induced increase in tropical marine cloud cover Y. Chen et al. 10.1038/s41561-024-01427-z
- Assessing the Aerosols, Clouds and Their Relationship Over the Northern Bay of Bengal Using a Global Climate Model P. Sharma et al. 10.1029/2022EA002706
- Towards reliable retrievals of cloud droplet number for non-precipitating planetary boundary layer clouds and their susceptibility to aerosol R. Foskinis et al. 10.3389/frsen.2022.958207
- Estimating cloud condensation nuclei concentrations from CALIPSO lidar measurements G. Choudhury & M. Tesche 10.5194/amt-15-639-2022
- Reducing Aerosol Forcing Uncertainty by Combining Models With Satellite and Within‐The‐Atmosphere Observations: A Three‐Way Street R. Kahn et al. 10.1029/2022RG000796
- Long term observations of biomass burning aerosol over Warsaw by means of multiwavelength lidar L. Janicka et al. 10.1364/OE.496794
- Trajectory-based analysis on the source areas and transportation pathways of atmospheric particulate matter over Eastern Finland O. Väisänen et al. 10.1080/16000889.2020.1799687
55 citations as recorded by crossref.
- Constraining effects of aerosol-cloud interaction by accounting for coupling between cloud and land surface T. Su et al. 10.1126/sciadv.adl5044
- Atmospheric nanoparticle growth D. Stolzenburg et al. 10.1103/RevModPhys.95.045002
- Uncertainty in aerosol–cloud radiative forcing is driven by clean conditions E. Gryspeerdt et al. 10.5194/acp-23-4115-2023
- Retrieval and validation of cloud condensation nuclei from satellite and airborne measurements over the Indian Monsoon region A. Aravindhavel et al. 10.1016/j.atmosres.2023.106802
- Significant underestimation of radiative forcing by aerosol–cloud interactions derived from satellite-based methods H. Jia et al. 10.1038/s41467-021-23888-1
- A first global height-resolved cloud condensation nuclei data set derived from spaceborne lidar measurements G. Choudhury & M. Tesche 10.5194/essd-15-3747-2023
- Spatial Aggregation of Satellite Observations Leads to an Overestimation of the Radiative Forcing due to Aerosol‐Cloud Interactions T. Goren et al. 10.1029/2023GL105282
- A cloud-by-cloud approach for studying aerosol–cloud interaction in satellite observations F. Alexandri et al. 10.5194/amt-17-1739-2024
- Assessment of CALIOP-Derived CCN Concentrations by In Situ Surface Measurements G. Choudhury & M. Tesche 10.3390/rs14143342
- Addressing the difficulties in quantifying droplet number response to aerosol from satellite observations H. Jia et al. 10.5194/acp-22-7353-2022
- Meteorological Conditions Favorable for Strong Anthropogenic Aerosol Impacts on Clouds H. Trofimov et al. 10.1029/2021JD035871
- 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
- Do Optically Denser Trade‐Wind Cumuli Live Longer? T. Seelig et al. 10.1029/2023GL103339
- Present-day correlations are insufficient to predict cloud albedo change by anthropogenic aerosols in E3SM v2 N. Mahfouz et al. 10.5194/acp-24-7253-2024
- Robust evidence for reversal of the trend in aerosol effective climate forcing J. Quaas et al. 10.5194/acp-22-12221-2022
- Complex interplay of sulfate aerosols and meteorology conditions on precipitation and latent heat vertical structure H. Zhu et al. 10.1038/s41612-024-00743-w
- 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
- General circulation models simulate negative liquid water path–droplet number correlations, but anthropogenic aerosols still increase simulated liquid water path J. Mülmenstädt et al. 10.5194/acp-24-7331-2024
- Evaluation of aerosol–cloud interactions in E3SM using a Lagrangian framework M. Christensen et al. 10.5194/acp-23-2789-2023
- Understanding Controlling Factors of Extratropical Humidity and Clouds with an Idealized General Circulation Model M. Frazer & Y. Ming 10.1175/JCLI-D-21-0580.1
- TrackMatcher – a tool for finding intercepts in tracks of geographical positions P. Bräuer & M. Tesche 10.5194/gmd-15-7557-2022
- Diurnal Evolution of Cloud Water Responses to Aerosols J. Rahu et al. 10.1029/2021JD035091
- Evaluation of liquid cloud albedo susceptibility in E3SM using coupled eastern North Atlantic surface and satellite retrievals A. Varble et al. 10.5194/acp-23-13523-2023
- A seven-year-based characterization of aerosol light scattering properties at a rural central European site L. Suchánková et al. 10.1016/j.atmosenv.2023.120292
- Distinct Diurnal Cycle of Supercooled Water Cloud Fraction Dominated by Dust Extinction Coefficient Y. Wang et al. 10.1029/2021GL097006
- Aerosol–stratocumulus interactions: towards a better process understanding using closures between observations and large eddy simulations S. Calderón et al. 10.5194/acp-22-12417-2022
- Exploring aerosol–cloud interactions in liquid-phase clouds over eastern China and its adjacent ocean using the WRF-Chem–SBM model J. Zhao et al. 10.5194/acp-24-9101-2024
- Emission Reductions Significantly Reduce the Hemispheric Contrast in Cloud Droplet Number Concentration in Recent Two Decades Y. Cao et al. 10.1029/2022JD037417
- Cloud Characteristics and Their Effects on Solar Irradiance According to the ICON Model, CLOUDNET and BSRN Observations J. Shuvalova et al. 10.3390/atmos14121769
- On the retrieval of cloud optical thickness from spectral radiances - A sensitivity study with high albedo surfaces F. Calì Quaglia et al. 10.1016/j.jqsrt.2024.109108
- MAGARA: a Multi-Angle Geostationary Aerosol Retrieval Algorithm J. Limbacher et al. 10.5194/amt-17-471-2024
- Aerosol-Cloud-Precipitation Interactions in a Closed-cell and Non-homogenous MBL Stratocumulus Cloud X. Zheng et al. 10.1007/s00376-022-2013-6
- Optically thin clouds in the trades T. Mieslinger et al. 10.5194/acp-22-6879-2022
- Aerosol retrieval over snow using the RemoTAP algorithm Z. Zhang et al. 10.5194/amt-16-6051-2023
- Impact of Cloud Condensation Nuclei Reduction on Cloud Characteristics and Solar Radiation during COVID-19 Lockdown 2020 in Moscow J. Shuvalova et al. 10.3390/atmos13101710
- Cloud detection from multi-angular polarimetric satellite measurements using a neural network ensemble approach Z. Yuan et al. 10.5194/amt-17-2595-2024
- Recent improvements and maximum covariance analysis of aerosol and cloud properties in the EC-Earth3-AerChem model M. Thomas et al. 10.5194/gmd-17-6903-2024
- The Fall and Rise of the Global Climate Model J. Mülmenstädt & L. Wilcox 10.1029/2021MS002781
- Strong Aerosol Effects on Cloud Amount Based on Long‐Term Satellite Observations Over the East Coast of the United States Y. Cao et al. 10.1029/2020GL091275
- Machine Learning Approach to Investigating the Relative Importance of Meteorological and Aerosol-Related Parameters in Determining Cloud Microphysical Properties F. Bender et al. 10.16993/tellusb.1868
- Factors affecting precipitation formation and precipitation susceptibility of marine stratocumulus with variable above- and below-cloud aerosol concentrations over the Southeast Atlantic S. Gupta et al. 10.5194/acp-22-2769-2022
- Incorporation of aerosol into the COSPv2 satellite lidar simulator for climate model evaluation M. Bonazzola et al. 10.5194/gmd-16-1359-2023
- 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
- Algorithm evaluation for polarimetric remote sensing of atmospheric aerosols O. Hasekamp et al. 10.5194/amt-17-1497-2024
- Liquid Containing Clouds at the North Slope of Alaska Demonstrate Sensitivity to Local Industrial Aerosol Emissions M. Maahn et al. 10.1029/2021GL094307
- Life Cycle of Shallow Marine Cumulus Clouds From Geostationary Satellite Observations T. Seelig et al. 10.1029/2021JD035577
- Retrieval of aerosol microphysical properties from atmospheric lidar sounding: an investigation using synthetic measurements and data from the ACEPOL campaign W. McLean et al. 10.5194/amt-14-4755-2021
- In situ and satellite-based estimates of cloud properties and aerosol–cloud interactions over the southeast Atlantic Ocean S. Gupta et al. 10.5194/acp-22-12923-2022
- Cloud condensation nuclei concentrations derived from the CAMS reanalysis K. Block et al. 10.5194/essd-16-443-2024
- Substantial cooling effect from aerosol-induced increase in tropical marine cloud cover Y. Chen et al. 10.1038/s41561-024-01427-z
- Assessing the Aerosols, Clouds and Their Relationship Over the Northern Bay of Bengal Using a Global Climate Model P. Sharma et al. 10.1029/2022EA002706
- Towards reliable retrievals of cloud droplet number for non-precipitating planetary boundary layer clouds and their susceptibility to aerosol R. Foskinis et al. 10.3389/frsen.2022.958207
- Estimating cloud condensation nuclei concentrations from CALIPSO lidar measurements G. Choudhury & M. Tesche 10.5194/amt-15-639-2022
- Reducing Aerosol Forcing Uncertainty by Combining Models With Satellite and Within‐The‐Atmosphere Observations: A Three‐Way Street R. Kahn et al. 10.1029/2022RG000796
- Long term observations of biomass burning aerosol over Warsaw by means of multiwavelength lidar L. Janicka et al. 10.1364/OE.496794
Latest update: 20 Nov 2024
Short summary
Anthropogenic pollution particles – aerosols – serve as cloud condensation nuclei and thus increase cloud droplet concentration and the clouds' reflection of sunlight (a cooling effect on climate). This Twomey effect is poorly constrained by models and requires satellite data for better quantification. The review summarizes the challenges in properly doing so and outlines avenues for progress towards a better use of aerosol retrievals and better retrievals of droplet concentrations.
Anthropogenic pollution particles – aerosols – serve as cloud condensation nuclei and thus...
Altmetrics
Final-revised paper
Preprint