Contrasting Rainfall Characteristics under Polluted and Clean Atmospheric Conditions: A Satellite-Based Statistical Assessment

Author(s)	Ms. Gayathri Balachandran
Country	India
Abstract	Aerosol–precipitation interactions remain one of the largest uncertainties in atmospheric science. This study investigates how rainfall characteristics differ between polluted and non-polluted atmospheric conditions using satellite and reanalysis datasets. Polluted and clean days are classified based on atmospheric composition indicators, and rainfall behavior is analyzed using anomaly detection, probability density functions, cumulative distribution functions, and statistical comparisons. Results reveal significant differences in rainfall structure between polluted and clean conditions. Polluted days exhibit suppressed light rainfall and enhanced occurrence of extreme precipitation events, resulting in skewed and heavy-tailed distributions. In contrast, clean days show more uniform rainfall distribution. These findings suggest that aerosols modify cloud microphysics, leading to non-linear rainfall responses. The study provides robust statistical evidence of aerosol influence on precipitation and offers a scalable framework for regional and global analysis using satellite observations.
Keywords	Aerosols, clean days, polluted days, rainfall
Published In	Volume 8, Issue 3, May-June 2026
Published On	2026-05-08
DOI	https://doi.org/10.36948/ijfmr.2026.v08i03.77574

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