Pristine oceans are a significant source of uncertainty in quantifying global cloud condensation nuclei
Data sets
CALIPSO Lidar Level 2 Aerosol Profile, V4-20 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 https://doi.org/10.1594/PANGAEA.956215
CAMS global reanalysis (EAC4) monthly averaged fields 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) 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 https://doi.org/10.5285/864a46cc65054008857ee5bb772a2a2b
MODIS Atmosphere L3 Monthly Product, NASA MODIS Adaptive Processing System https://doi.org/10.5067/MODIS/MYD08_M3.061
CERES SYN1deg Level 3 Data Product, Version 4.1. 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 https://doi.org/10.24381/cds.c14d9324