Fig. 2: Comparison of AOPs predicted by MieAI against those estimated using Mie theory for coarse mode internally mixed aerosol particles at an altitude of 15 km above sea level for the La Soufrière volcanic eruption (denoted by the plus symbol) event simulated using ICON-ART. | npj Climate and Atmospheric Science

Fig. 2: Comparison of AOPs predicted by MieAI against those estimated using Mie theory for coarse mode internally mixed aerosol particles at an altitude of 15 km above sea level for the La Soufrière volcanic eruption (denoted by the plus symbol) event simulated using ICON-ART.

From: MieAI: a neural network for calculating optical properties of internally mixed aerosol in atmospheric models

Fig. 2: Comparison of AOPs predicted by MieAI against those estimated using Mie theory for coarse mode internally mixed aerosol particles at an altitude of 15 km above sea level for the La Soufrière volcanic eruption (denoted by the plus symbol) event simulated using ICON-ART.

Here, left column (a, d, g, j) shows the AOPs estimated using Mie theory, middle column (b, e, h, k) shows the same predicted from MieAI and right column (c, f, i, l) shows the relative error of MieAI AOPs prediction against Mie calculations. m The geographical distribution of the aerosol median diameter simulated using ICON-ART, whereas (n) shows the geographical variation of shell thickness, as a fraction of the total particle diameter (in percentage), of the coated aerosol.

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