In this investigation, we attempt to untangle meteorological factors from aerosol parameters in a weakly synoptic-driven convective environment. The examination involves observational data from daily atmospheric soundings and aerosol concentrations from several aerosol measurement devices during the summer of 2022 in Houston, Texas, collected as part of the Tracking Aerosol Convection Interactions Experiment (TRACER) and Experiment of Sea Breeze Convection, Aerosols, Precipitation, and Environment (ESCAPE) field campaigns. Statistical learning methods, such as multiple linear regression and random forest, are applied to understand the relationship between aerosols combined with other meteorological variables on minimum cloud top temperature from geostationary satellite data and convective cell structure from NEXRAD data. Further examination was conducted to explore the significance of the synoptic environment and its potential influence on any identified relationships.
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