Articles | Volume 18, issue 3
https://doi.org/10.5194/acp-18-2035-2018
© 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/acp-18-2035-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 Feb 2018
Research article |
| 13 Feb 2018
| 13 Feb 2018
Predicting decadal trends in cloud droplet number concentration using reanalysis and satellite data
School of Earth and Environment, Institute of Climate and Atmospheric Science, University of Leeds, Leeds, LS2 9JT, UK
Frida A.-M. Bender
Department of Meteorology and Bolin Centre for Climate Research, Stockholm University, Stockholm, 106 91, Sweden
Daniel P. Grosvenor
School of Earth and Environment, Institute of Climate and Atmospheric Science, University of Leeds, Leeds, LS2 9JT, UK
National Centre for Atmospheric Science (NCAS), University of Leeds, Leeds, LS2 9JT, UK
Johannes K. Mohrmann
Department of Atmospheric Sciences, University of Washington, Seattle, 98195, USA
Dennis L. Hartmann
Department of Atmospheric Sciences, University of Washington, Seattle, 98195, USA
Robert Wood
Department of Atmospheric Sciences, University of Washington, Seattle, 98195, USA
Paul R. Field
School of Earth and Environment, Institute of Climate and Atmospheric Science, University of Leeds, Leeds, LS2 9JT, UK
MetOffice, Exeter, EX1 3PB, UK
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- Raindrop size distribution characteristic differences during the dry and wet seasons in South China R. Lai et al. 10.1016/j.atmosres.2021.105947
- 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
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- Impact of Inclusion of the Indirect Effects of Sulfate Aerosol on Radiation and Cloudiness in the INMCM Model A. Poliukhov et al. 10.1134/S0001433822050097
- Contrasts in the raindrop size distributions of pre-monsoon polluted and non-polluted rainy days over Rourkela, India P. Meher et al. 10.1016/j.uclim.2024.102111
- Microphysical Properties of Supercooled Large Droplet Conditions in North America and Europe J. Lucke et al. 10.2514/1.D0469
- Reply to “Comments on ‘Rethinking the Lower Bound on Aerosol Radiative Forcing’” B. Stevens 10.1175/JCLI-D-18-0185.1
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- The Radiative Forcing of Aerosol–Cloud Interactions in Liquid Clouds: Wrestling and Embracing Uncertainty J. Mülmenstädt & G. Feingold 10.1007/s40641-018-0089-y
41 citations as recorded by crossref.
- Aerosol Forcing: Still Uncertain, Still Relevant F. Bender 10.1029/2019AV000128
- Limited Regional Aerosol and Cloud Microphysical Changes Despite Unprecedented Decline in Nitrogen Oxide Pollution During the February 2020 COVID‐19 Shutdown in China M. Diamond & R. Wood 10.1029/2020GL088913
- Aerosol Load-Cloud Cover Correlation: A Potential Clue for the Investigation of Aerosol Indirect Impact on Climate of Europe and Africa C. Anoruo et al. 10.1007/s41810-022-00160-7
- The Sub-Daily Variability of Aerosol Loading and Associated Radiative Forcing Over the Indian Region T. Mukherjee & V. Vinoj 10.3389/feart.2021.727169
- Constraining aerosol–cloud adjustments by uniting surface observations with a perturbed parameter ensemble A. Mikkelsen et al. 10.5194/acp-25-4547-2025
- Opportunistic experiments to constrain aerosol effective radiative forcing M. Christensen et al. 10.5194/acp-22-641-2022
- High Free‐Tropospheric Aitken‐Mode Aerosol Concentrations Buffer Cloud Droplet Concentrations in Large‐Eddy Simulations of Precipitating Stratocumulus M. Wyant et al. 10.1029/2021MS002930
- Impact of Holuhraun volcano aerosols on clouds in cloud-system-resolving simulations M. Haghighatnasab et al. 10.5194/acp-22-8457-2022
- Remote sensing of droplet number concentration of aerosol-induced clouds during the 2019 fire event in Borneo, Indonesia T. Krisna et al. 10.1088/1755-1315/731/1/012016
- Raindrop size distribution characteristic differences during the dry and wet seasons in South China R. Lai et al. 10.1016/j.atmosres.2021.105947
- 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
- Variability in air-pollutants, aerosols, and associated meteorology over peninsular India and neighboring ocean regions during COVID-19 lockdown to unlock phases A. Sarkar et al. 10.1016/j.apr.2021.101231
- SO2 measurements in a clean coastal environment of the southwestern Europe: Sources, transport and influence in the formation of secondary aerosols J. Adame et al. 10.1016/j.scitotenv.2020.137075
- Subgrid variations of the cloud water and droplet number concentration over the tropical ocean: satellite observations and implications for warm rain simulations in climate models Z. Zhang et al. 10.5194/acp-19-1077-2019
- Sensitivities of cloud radiative effects to large-scale meteorology and aerosols from global observations H. Andersen et al. 10.5194/acp-23-10775-2023
- Assessment of aerosol–cloud–radiation correlations in satellite observations, climate models and reanalysis F. Bender et al. 10.1007/s00382-018-4384-z
- Nonlinearity of the cloud response postpones climate penalty of mitigating air pollution in polluted regions H. Jia & J. Quaas 10.1038/s41558-023-01775-5
- The hemispheric contrast in cloud microphysical properties constrains aerosol forcing I. McCoy et al. 10.1073/pnas.1922502117
- Robust evidence for reversal of the trend in aerosol effective climate forcing J. Quaas et al. 10.5194/acp-22-12221-2022
- Pristine oceans are a significant source of uncertainty in quantifying global cloud condensation nuclei G. Choudhury et al. 10.5194/acp-25-3841-2025
- Relations between marine biogeochemical indices and cloud properties over the Arabian Sea V. Rao et al. 10.1007/s12040-021-01638-7
- Underestimated Passive Volcanic Sulfur Degassing Implies Overestimated Anthropogenic Aerosol Forcing U. Jongebloed et al. 10.1029/2022GL102061
- Impact of Inclusion of the Indirect Effects of Sulfate Aerosol on Radiation and Cloudiness in the INMCM Model A. Poliukhov et al. 10.1134/S0001433822050097
- Contrasts in the raindrop size distributions of pre-monsoon polluted and non-polluted rainy days over Rourkela, India P. Meher et al. 10.1016/j.uclim.2024.102111
- Microphysical Properties of Supercooled Large Droplet Conditions in North America and Europe J. Lucke et al. 10.2514/1.D0469
- Reply to “Comments on ‘Rethinking the Lower Bound on Aerosol Radiative Forcing’” B. Stevens 10.1175/JCLI-D-18-0185.1
- Evaluation and comparison of MERRA-2 AOD and DAOD with MODIS DeepBlue and AERONET data in Australia Y. Che et al. 10.1016/j.atmosenv.2022.119054
- Shipping regulations lead to large reduction in cloud perturbations D. Watson-Parris et al. 10.1073/pnas.2206885119
- Aerosol midlatitude cyclone indirect effects in observations and high-resolution simulations D. McCoy et al. 10.5194/acp-18-5821-2018
- Assessing effective radiative forcing from aerosol–cloud interactions over the global ocean C. Wall et al. 10.1073/pnas.2210481119
- Remote Sensing of Droplet Number Concentration in Warm Clouds: A Review of the Current State of Knowledge and Perspectives D. Grosvenor et al. 10.1029/2017RG000593
- Cloud drop number concentrations over the western North Atlantic Ocean: seasonal cycle, aerosol interrelationships, and other influential factors H. Dadashazar et al. 10.5194/acp-21-10499-2021
- Bounding Global Aerosol Radiative Forcing of Climate Change N. Bellouin et al. 10.1029/2019RG000660
- Untangling causality in midlatitude aerosol–cloud adjustments D. McCoy et al. 10.5194/acp-20-4085-2020
- The decomposition of cloud–aerosol forcing in the UK Earth System Model (UKESM1) D. Grosvenor & K. Carslaw 10.5194/acp-20-15681-2020
- Long-term trends of aerosol and cloud fraction over Eastern China based on ground-based observations T. Yang et al. 10.1016/j.atmosenv.2023.119954
- Evaluation of the CMIP6 marine subtropical stratocumulus cloud albedo and its controlling factors B. Jian et al. 10.5194/acp-21-9809-2021
- On the relationship between cloud water composition and cloud droplet number concentration A. MacDonald et al. 10.5194/acp-20-7645-2020
- Cloud feedbacks in extratropical cyclones: insight from long-term satellite data and high-resolution global simulations D. McCoy et al. 10.5194/acp-19-1147-2019
- Emission Reductions Significantly Reduce the Hemispheric Contrast in Cloud Droplet Number Concentration in Recent Two Decades Y. Cao et al. 10.1029/2022JD037417
Latest update: 06 Jul 2025
Short summary
The interaction between clouds and aerosols represents the largest source of uncertainty in the anthropogenic radiative forcing. Cloud droplet number concentration (CDNC) is the state variable that moderates the interaction between aerosol and clouds. Here we show that CDNC decreases off the coasts of East Asia and North America due to controls on emissions. We support this analysis through an examination of volcanism in Hawaii and Vanuatu.
The interaction between clouds and aerosols represents the largest source of uncertainty in the...
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