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Abstract: Atmospheric turbulence significantly influences the dynamics of the surface, lower, and upper troposphere. The refractivity turbulence structure constant (Cn2) serving as a crucial indicator for parameters such as kinetic energy dissipation rate and eddy diffusivity. In this study, continuous wind data from the Stratosphere Troposphere (ST) Radar system of Gauhati University (26.10N, 91.70E; 50 m above MSL) is utilized for Cn2 estimation. Using radar data at the various seasons of the year we have calculated Cn2 and are compared with GPS radiosonde results provided by RMC (IMD) Guwahati. The analysis shows that Cn2 decreases with height, ranging from 10−14 to 10−18 m−2/3, showing a reasonable agreement with the radiosonde results. Turbulence parameters critically shape boundary layer behaviour by driving vertical exchanges of momentum, heat, moisture, and other meteorologically relevant variables. High turbulence intensities cause the boundary layer to thicken, produce chaotic flow patterns, and significantly increase mixing rates, which enhances transport between the surface and free atmosphere.
These results demonstrate the effectiveness of Gauhati University ST radar system for analysing various turbulence parameters and boundary layer processes helping the understanding of vertical transport and turbulent mixing in the lower atmosphere. The agreement between radar and radiosonde-based measurements reinforces the credibility of remote sensing methods in continuous turbulent parameter characterization in atmospheric science.
