Preprints
https://doi.org/10.5194/egusphere-2025-4769
https://doi.org/10.5194/egusphere-2025-4769
06 Oct 2025
 | 06 Oct 2025
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

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

Status: open (until 17 Nov 2025)

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