Articles | Volume 15, issue 3
https://doi.org/10.5194/amt-15-639-2022
https://doi.org/10.5194/amt-15-639-2022
Research article
 | 
08 Feb 2022
Research article |  | 08 Feb 2022

Estimating cloud condensation nuclei concentrations from CALIPSO lidar measurements

Goutam Choudhury and Matthias Tesche

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Cited articles

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Ansmann, A., Ohneiser, K., Mamouri, R.-E., Knopf, D. A., Veselovskii, I., Baars, H., Engelmann, R., Foth, A., Jimenez, C., Seifert, P., and Barja, B.: Tropospheric and stratospheric wildfire smoke profiling with lidar: mass, surface area, CCN, and INP retrieval, Atmos. Chem. Phys., 21, 9779–9807, https://doi.org/10.5194/acp-21-9779-2021, 2021b. a, b, c, d, e
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Short summary
Aerosols are tiny particles suspended in the atmosphere. A fraction of these particles can form clouds and are called cloud condensation nuclei (CCN). Measurements of such aerosol particles are necessary to study the aerosol–cloud interactions and reduce the uncertainty in our future climate predictions. We present a novel methodology to estimate global 3D CCN concentrations from the CALIPSO satellite measurements. The final data set will be used to study the aerosol–cloud interactions.
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