Articles | Volume 19, issue 15
https://doi.org/10.5194/amt-19-5051-2026
https://doi.org/10.5194/amt-19-5051-2026
Research article
 | 
06 Aug 2026
Research article |  | 06 Aug 2026

Improving the confidence in retrievals of vertical distributions of cloud condensation nuclei number concentration from ARM supported by aircraft in situ observations

Jingjing Tian, Gourihar Kulkarni, Jennifer M. Comstock, John E. Shilling, Damao Zhang, Peng Wu, and Fan Mei

Data sets

RNCCNPROF1KULKARNI value-added product (VAP) G. Kulkarni https://doi.org/10.5439/1813858

DeliAn data A. A. Floutsi et al. https://doi.org/10.5281/zenodo.7751752

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Short summary
Cloud condensation nuclei are tiny particles that attract water vapor and help form clouds. A ground-based lidar method can estimate their number at different heights, but assumes the aerosol type does not change with height. Comparisons with aircraft data show good agreement of this method when aerosols are well mixed, but larger errors when stacked layers occur. We also developed an index to flag these complex conditions and indicate when this estimation method is more reliable.
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