Articles | Volume 16, issue 23
https://doi.org/10.5194/amt-16-5827-2023
https://doi.org/10.5194/amt-16-5827-2023
Research article
 | 
06 Dec 2023
Research article |  | 06 Dec 2023

Evaluation of four ground-based retrievals of cloud droplet number concentration in marine stratocumulus with aircraft in situ measurements

Damao Zhang, Andrew M. Vogelmann, Fan Yang, Edward Luke, Pavlos Kollias, Zhien Wang, Peng Wu, William I. Gustafson Jr., Fan Mei, Susanne Glienke, Jason Tomlinson, and Neel Desai

Data sets

Droplet number concentration (NDROPMFRSR) L. Riihimaki, S. McFarlane, C. Sivaraman, and D. Zhang https://doi.org/10.5439/1131339

Lidar-based cloud droplet number concentration retrievals at the ARM ENA observatory D. Zhang https://adc.arm.gov/discovery/#/results/s::droplet%20number%20concentration

Cloud and Aerosol Spectrometer aboard aircraft (AAFCAS) E. Cromwell, J. Tomlinson, and M. Pekour https://doi.org/10.5439/1438488

Fast Cloud Droplet Probe aboard aircraft (AAFFCDP) F. Mei, K. Burk, B. Ermold, and D. Zhang https://doi.org/10.5439/1417472

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Short summary
Cloud droplet number concentration can be retrieved from remote sensing measurements. Aircraft measurements are used to validate four ground-based retrievals of cloud droplet number concentration. We demonstrate that retrieved cloud droplet number concentrations align well with aircraft measurements for overcast clouds, but they may substantially differ for broken clouds. The ensemble of various retrievals can help quantify retrieval uncertainties and identify reliable retrieval scenarios.