Date of Award
2026
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Atmospheric and Earth Science
Committee Chair
Udaysankar Nair
Committee Member
Kevin Knupp
Committee Member
Michael Newchurch
Research Advisor
Udaysankar Nair
Subject(s)
Atmospheric turbulence--Remote sensing, Meteorological optics, Refractive index
Abstract
Propagation of electromagnetic waves through the atmosphere is affected by turbulence. The impact of turbulence on wave propagation is characterized by the refractive index structure function (Cn²), which characterizes the intensity of fluctuations of the refractive index of air due to turbulence. Observations of vertical profiles of Cn² are essential for evaluating numerical model predictions. This study presents an intercomparison of Cn² derived from multiple ground-based remote sensing systems, including 915 MHz profiler, sodar, and a parameterized method that uses doppler wind lidar and radiometer. Results indicate that the sodar is the most accurate near- surface Cn² profiler, but above the surface layer, the 915 MHz profiles are able to get full boundary layer profiles. Correcting the 915 MHz profiles for wavelength significantly improves the intercomparison above the surface. The parameterized multi-instrument method also has difficulties in estimating Cn² associated with features such as the low level jets.
Recommended Citation
Montgomery, Isaiah Joseph, "Intercomparison of remote sensing methods for calculating Cn² profiles" (2026). Theses. 832.
https://louis.uah.edu/uah-theses/832
Comments
Intercomparison of remote sensing methods for calculating refractive index structure parameter profiles