My research is primarily focused on atmospheric sciences, with a particular emphasis on the dynamics of the planetary boundary layer (PBL) and turbulence. The PBL, as the lowest part of the atmosphere, critically influences weather patterns, climate processes, and pollution transport. Through advanced remote sensing instrumentation—including Ceilometer, LIDAR, and RADAR—I conduct high-resolution, real-time analyses of the PBL’s vertical structure and dynamics. These observations provide critical datasets, including aerosol backscatter coefficients, temperature profiles, water vapor mixing ratios, and vertical wind profiles, feeding into data assimilation (DA) frameworks to improve the accuracy of predictive climate and air quality models.

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In addition, my current research focuses on the statistical analysis of higher-order moments within the turbulent convective boundary layer (CBL), a complex yet vital area for comprehending atmospheric turbulence. By analyzing skewness and kurtosis within turbulent flows, I aim to deepen insights into the energy distribution and predict extreme events within the PBL. The turbulent nature of the CBL, driven by thermal convection, presents both challenges and unique opportunities for advanced statistical exploration. By coupling observational data with advanced DA strategies, my work seeks to bridge the gap between theoretical insights and real-world atmospheric challenges.