Extended Data Fig. 2: Correlation coefficient between machine-learning predictions and MODIS observations of cloud properties, including liquid cloud droplet number concentration (Nd), liquid droplet effective radius (reff), liquid water path (LWP) and liquid cloud fraction (CF). | Nature Geoscience

Extended Data Fig. 2: Correlation coefficient between machine-learning predictions and MODIS observations of cloud properties, including liquid cloud droplet number concentration (Nd), liquid droplet effective radius (reff), liquid water path (LWP) and liquid cloud fraction (CF).

From: Machine learning reveals climate forcing from aerosols is dominated by increased cloud cover

Extended Data Fig. 2

The Monte Carlo results of ML-MODIS validation against MODIS observations without volcanic aerosol-perturbation are given in black. The variations of comparisons with volcanic aerosol-perturbation in October 2014 are given in pink. The boxplot shows 10th, 25th, median (Med.), 75th and 90th percentiles with the mean value indicated by a dot.

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