A remote sensing algorithm for vertically resolved cloud condensation nuclei number concentrations from airborne and spaceborne lidar observations

Patel, Piyushkumar N.; Jiang, Jonathan H.; Gautam, Ritesh; Gadhavi, Harish; Kalashnikova, Olga; Garay, Michael J.; Gao, Lan; Xu, Feng; Omar, Ali

doi:https://doi.org/10.5194/acp-24-2861-2024

Articles | Volume 24, issue 5

https://doi.org/10.5194/acp-24-2861-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-24-2861-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 24, issue 5

Research article

|

05 Mar 2024

Research article |

| 05 Mar 2024

A remote sensing algorithm for vertically resolved cloud condensation nuclei number concentrations from airborne and spaceborne lidar observations

Piyushkumar N. Patel, Jonathan H. Jiang, Ritesh Gautam, Harish Gadhavi, Olga Kalashnikova, Michael J. Garay, Lan Gao, Feng Xu, and Ali Omar

Supplement

https://doi.org/10.5194/acp-24-2861-2024-supplement

Data sets

Suite of Aerosol, Cloud, and Related Data Acquired Aboard P3 During ORACLES 2018, Version 2 ORACLES Science Team https://doi.org/10.5067/Suborbital/ORACLES/P3/2018_V2

Suite of Aerosol, Cloud, and Related Data Acquired Aboard P3 During ORACLES 2017, Version 2 ORACLES Science Team https://doi.org/10.5067/Suborbital/ORACLES/P3/2017_V2

AOS: Ultrahigh Sensitivity Aerosol Spectrometer ARM https://doi.org/10.5439/1409033

Aerosol Observing System (AOS): Aerodynamic Particle Sizer ARM https://doi.org/10.5439/1407135

AOS: Cloud Condensation Nuclei Counter (Dual Column), ramping mode spectra data ARM https://doi.org/10.5439/1323896

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Short summary

Global measurements of cloud condensation nuclei (CCN) are essential for understanding aerosol–cloud interactions and predicting climate change. To address this gap, we introduced a remote sensing algorithm that retrieves vertically resolved CCN number concentrations from airborne and spaceborne lidar systems. This innovation offers a global distribution of CCN concentrations from space, facilitating model evaluation and precise quantification of aerosol climate forcing.