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Articles | Volume 25, issue 6
https://doi.org/10.5194/acp-25-3841-2025
https://doi.org/10.5194/acp-25-3841-2025
Research article
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02 Apr 2025
Research article | Highlight paper |  | 02 Apr 2025

Pristine oceans are a significant source of uncertainty in quantifying global cloud condensation nuclei

Goutam Choudhury, Karoline Block, Mahnoosh Haghighatnasab, Johannes Quaas, Tom Goren, and Matthias Tesche

Data sets

CALIPSO Lidar Level 2 Aerosol Profile, V4-20 NASA/LARC/SD/ASDC https://doi.org/10.5067/CALIOP/CALIPSO/LID_L2_05KMAPRO-STANDARD-V4-20

Global multiyear 3D dataset of cloud condensation nuclei derived from spaceborne lidar measurements G. Choudhury and M. Tesche https://doi.org/10.1594/PANGAEA.956215

CAMS global reanalysis (EAC4) monthly averaged fields A. Inness et al. https://ads.atmosphere.copernicus.eu/datasets/cams-global-reanalysis-eac4-monthly?tab=overview

Cloud condensation nuclei (CCN) numbers derived from CAMS reanalysis EAC4 (Version 1) K. Block https://doi.org/10.26050/WDCC/QUAERERE\_CCNCAMS\_v1

Cloud droplet number concentration, calculated from the MODIS (Moderate resolution imaging spectroradiometer) cloud optical properties retrieval and gridded using different sampling strategies E. Gryspeerdt et al. https://doi.org/10.5285/864a46cc65054008857ee5bb772a2a2b

MODIS Atmosphere L3 Monthly Product, NASA MODIS Adaptive Processing System S. Platnick et al. https://doi.org/10.5067/MODIS/MYD08_M3.061

CERES SYN1deg Level 3 Data Product, Version 4.1. NASA Langley Research Center https://doi.org/10.5067/Terra+Aqua/CERES/SYN1deg_L3.004A

Precipitation monthly and daily gridded data from 1979 to present derived from satellite measurement Copernicus Climate Change Service https://doi.org/10.24381/cds.c14d9324

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Measurement datasets of cloud condensation nuclei (CCN) are vital for our understanding of...
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Aerosol particles in the atmosphere increase cloud reflectivity, thereby cooling the Earth....
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