This presentation highlights key findings from studies on cloud optical properties over the Himalayan region, atmospheric impacts of forest fires in the Nainital region and the phase-wise troubleshooting and optimization of the BLL system for atmospheric research. In the first study conducted in the Palampur region, Raman lidar measurements were used to classify clouds based on optical depth and depolarization ratios. Clouds were categorized as sub-visual, optically thin, or dense cirrus. Annual variations in cloud properties and phase composition were analyzed, offering insights into cloud dynamics and their role in atmospheric processes. Another study investigates the influence of forest fires on atmospheric parameters in the Nainital region during March–June 2024. Elevated concentrations of carbon monoxide, nitrogen dioxide, and the absorbing aerosol index were observed, with peaks in May linked to biomass burning and fossil fuel emissions. These findings underscore the substantial impact of forest fires on air quality and aerosol characteristics. These studies collectively enhance the understanding of aerosol-cloud interactions, the effects of biomass burning on air quality, and the advancement of lidar technology, contributing to a deeper comprehension of atmospheric dynamics and environmental monitoring.