Date of Award
2011
Degree Type
Thesis
Degree Name
Master of Science
Program
Physics
Supervisor
Dr. Robert J. Sica
Second Advisor
Dr. Richard Holt
Third Advisor
Dr. Wayne K. Hocking
Abstract
The conventional method of lidar data processing to retrieve atmospheric temperature profiles has some limitations which necessitate the abandonment of the temperatures retrieved at the uppermost limits of the observational range. The application of mathematical inversion, as a tool to remedy this problem, was investigated in this project. A simple grid search technique was used to develop an alternative way of retrieving atmospheric temperature profiles from lidar data. Data obtained from the Purple Crow lidar (PCL) (42.87° N, 81.38° W, 225 m) facility at the University of Western Ontario was used to perform the preliminary tests on this technique. PCL data for 12 nights of observation were processed by the new technique. Initial results show that data at the uppermost altitude limits can be reliably retrieved with this method. A numerical scheme to analyze errors in the retrieved temperatures was developed. The uncertainties in retrieved temperatures computed using this method are comparable to the corresponding uncertainties in the conventional technique.
Recommended Citation
Khanna, Jaya, "ATMOSPHERIC TEMPERATURE RETRIEVALS FROM LIDAR MEASUREMENTS USING TECHNIQUES OF NON-LINEAR MATHEMATICAL INVERSION" (2011). Digitized Theses. 3259.
https://ir.lib.uwo.ca/digitizedtheses/3259