Articles | Volume 17, issue 16
https://doi.org/10.5194/acp-17-9815-2017
https://doi.org/10.5194/acp-17-9815-2017
Research article
 | 
22 Aug 2017
Research article |  | 22 Aug 2017

Global and regional estimates of warm cloud droplet number concentration based on 13 years of AQUA-MODIS observations

Ralf Bennartz and John Rausch

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Cited articles

Ban-Weiss, G. A., Jin, L., Bauer, S. E., Bennartz, R., Liu, X. H., Zhang, K., Ming, Y., Guo, H., and Jiang, J. H.: Evaluating clouds, aerosols, and their interactions in three global climate models using satellite simulators and observations, J. Geophys. Res.-Atmos., 119, 10876–10901, https://doi.org/10.1002/2014jd021722, 2014.
Bennartz, R.: Global assessment of marine boundary layer cloud droplet number concentration from satellite, J. Geophys. Res., 112, D02201, https://doi.org/10.1029/2006jd007547, 2007.
Bennartz, R. and Rausch, J.: Cloud Droplet Number Concentration Climatology, https://doi.org/10.15695/vudata.ees.1, 2016.
Bennartz, R., Fan, J. W., Rausch, J., Leung, L. R., and Heidinger, A. K.: Pollution from China increases cloud droplet number, suppresses rain over the East China Sea, Geophys. Res. Lett., 38, L09704, https://doi.org/10.1029/2011gl047235, 2011.
Boers, R., Acarreta, J. R., and Gras, J. L.: Satellite monitoring of the first indirect aerosol effect: Retrieval of the droplet concentration of water clouds, J. Geophys. Res., 111, D22208, https://doi.org/10.1029/2005jd006838, 2006.
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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.
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