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

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

<p>Cloud condensation nuclei (CCN) are mediators of aerosol–cloud interactions (ACIs), contributing to the largest uncertainties in the understandings of global climate change. We present a novel remote-sensing-based algorithm that quantifies the vertically resolved CCN number concentrations (...

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Bibliographic Details
Main Authors: P. N. Patel, J. H. Jiang, R. Gautam, H. Gadhavi, O. Kalashnikova, M. J. Garay, L. Gao, F. Xu, A. Omar
Format: Article
Language:English
Published: Copernicus Publications 2024-03-01
Series:Atmospheric Chemistry and Physics
Online Access:https://acp.copernicus.org/articles/24/2861/2024/acp-24-2861-2024.pdf

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