Aerosol climatology characterization over Bangladesh using ground-based and remotely sensed satellite measurements

Atmospheric aerosols affect human health, alter cloud optical properties, influence the climate and radiative balance, contribute to cooling of atmosphere. Aerosol climatology based on aerosol robotic network (AERONET) ozone monitoring instrument (OMI) data from two locations (Urban Dhaka coastal Bhola Island) over Bangladesh was conducted for 8 years (2012–2019), focusing characterization schemes. Four parameters, such as extinction angstrom exponent (EAE), absorption AE (AAE), single scattering albedo (SSA), real refractive index (RRI), were exclusively discussed determine types aerosol. In addition, light properties inspected tagging association between size parameters similar fine mode fraction (FMF), AE, (SSA AAE). Results depth (AAOD) validated with satellite-borne cloud–aerosol lidar infrared pathfinder satellite observation (CALIPSO) subtype profiles. The overall average values AAOD (0.110 ± 0.002) [0.106, 0.114] (0.075 0.001) [0.073, 0.078], respectively. derived by OMI (0.024 0.001 [0.023, 0.025] Dhaka, 0.023 0.024] Bhola). Two potentially identified, example, biomass burning urban/industrial insignificant contribution dust Black carbon (BC) prominent absorbing (45.9%–89.1%) in all seasons negligible contributions mixed BC and/or alone. Correlations FMF SSA confirmed that dominant type Bhola. CALIPSO’s vertical information consistent AERONET column information. results will have a substantial impact forcing, modeling well air quality management Southeast Asia’s heavily polluted territories.