S1 Text - Machine learning-based assessment of aerosol optical depth over Ghana, West Africa using MODIS satellite data

Supplementary Information. Contains:

– Table A: Physical relevance of meteorological variables used in AOD prediction.

– Table B: Missing time steps identified in the TERRA dataset.

– Equations A–F: Mathematical formulations for regression, ANN, and evaluation metrics (RMSE, MAE, R2, KGE).

– Fig A: Architecture of the Artificial Neural Network (ANN).

– Fig B: Seasonal distribution of AOD from AQUA.

– Fig C: Seasonal distribution of AOD from TERRA.

– Table A: Physical relevance of meteorological variables used in AOD prediction.

– Table B: Missing time steps identified in the TERRA dataset.

– Equations A–F: Mathematical formulations for regression, ANN, and evaluation metrics (RMSE, MAE, R2, KGE).

– Fig A: Architecture of the Artificial Neural Network (ANN).

– Fig B: Seasonal distribution of AOD from AQUA.

– Fig C: Seasonal distribution of AOD from TERRA.