Preprints
https://doi.org/10.5194/egusphere-2025-4769
https://doi.org/10.5194/egusphere-2025-4769
06 Oct 2025
 | 06 Oct 2025

Progress in the quantification of aerosol-cloud interactions estimated from the CALIPSO-CloudSat-Aqua/MODIS record

Zhujun Li, David Painemal, Yan Feng, and Xiaojian Zheng

Abstract. Aerosol-cloud-precipitation interactions are assessed over the non-polar ocean from more than 11 years of combined Aqua-MODIS, CALIPSO-CALIOP, and CloudSat products. The analysis first shows the benefit of incorporating vertically resolved aerosol extinction coefficient (σext) in aerosol-cloud interactions (ACI) assessments, demonstrating that: σext vertically collocated with the cloud layer correlates best with cloud droplet number concentration (Nd), column-integrated aerosol optical depth (AOD) cannot explain the Nd variability in the extratropics, and the S-shape of the AOD-Nd relationship reported in previous studies is an unphysical feature that arises from using AOD as aerosol proxy over oceanic regions.

ACI metric, estimated as the log-scale regression between σext vertically collocated with the cloud layer (σexiCL) and MODIS Nd reveals that the eastern Pacific is the region with the strongest ACI, followed by the Southern Ocean. The susceptibility of clouds to changes in their liquid water path (LWP) and frequency of precipitation followed a 2-step calculation by combining the NdexiCL regression (ACI) with the regression between these macrophysical variables and Nd.LWP susceptibility is negative (LWP decreases with aerosol loading), and statistically significant over the eastern Pacific, eastern Atlantic, and extratropics. In contrast, vast areas of the tropical and subtropical ocean feature negligible changes in LWP with aerosol. Precipitation frequency susceptibility is negative, but the values are only significant over the coastal eastern Pacific and Atlantic. The findings suggest that previous modeling assessments relying on AOD may need to be revisited by taking advantage of the synergy between passive and active sensors.

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Journal article(s) based on this preprint

01 Jun 2026
Advancing the quantification of aerosol-cloud interactions with the CALIPSO-CloudSat-Aqua/MODIS record
Zhujun Li, David Painemal, Yan Feng, and Xiaojian Zheng
Atmos. Chem. Phys., 26, 7705–7720, https://doi.org/10.5194/acp-26-7705-2026,https://doi.org/10.5194/acp-26-7705-2026, 2026
Short summary
Zhujun Li, David Painemal, Yan Feng, and Xiaojian Zheng

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Zhujun Li on behalf of the Authors (21 Feb 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (23 Feb 2026) by Matthias Tesche
RR by Anonymous Referee #1 (01 Mar 2026)
ED: Publish subject to technical corrections (13 Mar 2026) by Matthias Tesche
AR by Zhujun Li on behalf of the Authors (20 Mar 2026)  Author's response   Manuscript 

Journal article(s) based on this preprint

01 Jun 2026
Advancing the quantification of aerosol-cloud interactions with the CALIPSO-CloudSat-Aqua/MODIS record
Zhujun Li, David Painemal, Yan Feng, and Xiaojian Zheng
Atmos. Chem. Phys., 26, 7705–7720, https://doi.org/10.5194/acp-26-7705-2026,https://doi.org/10.5194/acp-26-7705-2026, 2026
Short summary
Zhujun Li, David Painemal, Yan Feng, and Xiaojian Zheng
Zhujun Li, David Painemal, Yan Feng, and Xiaojian Zheng

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Latest update: 08 Jun 2026
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Short summary
This study is the first global assessment of aerosol-cloud interactions (ACI) and cloud adjustments that relies on vertically resolved aerosol retrievals that are vertically matched with the location of the cloud layer. We computed ACI metrics and cloud adjustments over the global ocean by combining retrievals from active and passive satellite sensors and found high sensitivity of clouds to changes in their cloud droplet number concentration due to aerosols.
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