Articles | Volume 17, issue 16
https://doi.org/10.5194/acp-17-9815-2017
© 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-17-9815-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Global and regional estimates of warm cloud droplet number concentration based on 13 years of AQUA-MODIS observations
Ralf Bennartz
CORRESPONDING AUTHOR
Earth and Environmental Science Department, Vanderbilt University, Nashville, TN 37240, USA
Space Science and Engineering Center, University of Wisconsin, Madison, WI 53706, USA
John Rausch
Earth and Environmental Science Department, Vanderbilt University, Nashville, TN 37240, USA
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- Anthropogenic emissions from South Asia reverses the aerosol indirect effect over the northern Indian Ocean S. Jose et al. 10.1038/s41598-020-74897-x
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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
- The Ascension Island Boundary Layer in the Remote Southeast Atlantic is Often Smoky P. Zuidema et al. 10.1002/2017GL076926
- 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
- Strong Dependence of Atmospheric Feedbacks on Mixed‐Phase Microphysics and Aerosol‐Cloud Interactions in HadGEM3 A. Bodas‐Salcedo et al. 10.1029/2019MS001688
- Quantifying the dependence of drop spectrum width on cloud drop number concentration for cloud remote sensing M. Lebsock & M. Witte 10.5194/acp-23-14293-2023
4 citations as recorded by crossref.
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- Drivers of Seasonal Variability in Marine Boundary Layer Aerosol Number Concentration Investigated Using a Steady State Approach J. Mohrmann et al. 10.1002/2017JD027443
- Understanding the drivers of marine liquid-water cloud occurrence and properties with global observations using neural networks H. Andersen et al. 10.5194/acp-17-9535-2017
- Understanding the Microphysical Control and Spatial‐Temporal Variability of Warm Rain Probability Using CloudSat and MODIS Observations Z. Zhang et al. 10.1029/2022GL098863
Latest update: 20 Nov 2024
Short summary
Cloud droplet number concentration is linked to air pollution levels via indirect aerosol effects. The climatological results presented here provide constraints on cloud droplet number concentration globally, thereby helping to evaluate global climate models and study the impact of pollution regionally and globally.
Cloud droplet number concentration is linked to air pollution levels via indirect aerosol...
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