Articles | Volume 19, issue 11
https://doi.org/10.5194/amt-19-3687-2026
https://doi.org/10.5194/amt-19-3687-2026
Research article
 | 
04 Jun 2026
Research article |  | 04 Jun 2026

Synergistic Fusion of Aerosol Optical Depth over India from multi-sensor satellite retrievals with ground-based measurements

Shiba Shankar Gouda, Mukunda M. Gogoi, and S. Suresh Babu

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Short summary
This study presents fused aerosol optical depth (AOD) from a combination of single-view and multi-angle space-borne sensors with ground-based observations across India using Universal Kriging (UK) and a novel hybrid Residual Kriging–Machine Learning (RK-ML) approach. Both methods improve aerosol representation compared to individual datasets. UK-based fused maps highlight the need for better ground coverage, addressed by the RK-ML approach under data-sparse conditions.
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