Articles | Volume 18, issue 6
Atmos. Chem. Phys., 18, 4317–4327, 2018
https://doi.org/10.5194/acp-18-4317-2018
Atmos. Chem. Phys., 18, 4317–4327, 2018
https://doi.org/10.5194/acp-18-4317-2018

Research article 28 Mar 2018

Research article | 28 Mar 2018

Ice particle production in mid-level stratiform mixed-phase clouds observed with collocated A-Train measurements

Damao Zhang et al.

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Cited articles

Adhikari, L. and Wang, Z.: An A-train satellite based stratiform mixed – phase cloud retrieval algorithm by combining active and passive sensor measurements, British Journal of Environment and Climate Change, 3, 587–611, 2013. 
Adhikari, L., Wang, Z., and Deng, M.: Seasonal variations of Antarctic clouds observed by CloudSat and CALIPSO satellites, J. Geophys. Res., 117, D04202, https://doi.org/10.1029/2011JD016719, 2012. 
Bergeron, T.: On the physics of clouds and precipitation, Proces Verbaux de l'Association de Météorologie, International Union of Geodesy and Geophysics, 156–178, 1935. 
Birch, C. E., Brooks, I. M., Tjernström, M., Shupe, M. D., Mauritsen, T., Sedlar, J., Lock, A. P., Earnshaw, P., Persson, P. O. G., Milton, S. F., and Leck, C.: Modelling atmospheric structure, cloud and their response to CCN in the central Arctic: ASCOS case studies, Atmos. Chem. Phys., 12, 3419–3435, https://doi.org/10.5194/acp-12-3419-2012, 2012. 
Bühl, J., Seifert, P., Myagkov, A., and Ansmann, A.: Measuring ice- and liquid-water properties in mixed-phase cloud layers at the Leipzig Cloudnet station, Atmos. Chem. Phys., 16, 10609–10620, https://doi.org/10.5194/acp-16-10609-2016, 2016. 
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Short summary
Ice production in atmospheric clouds is important for global water cycle and radiation budget. Active satellite remote sensing measurements are analyzed to quantitatively study primary ice particle production in stratiform mixed-phase clouds on a global scale. We quantify the geographic and seasonal variations of ice production and their correlations with aerosol, especially mineral dust activities. The results can be used to evaluate mixed-phased clouds simulations by global climate models.
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