Mentor
Vincent Wickwar
Document Type
Report
Publication Date
11-29-2013
First Page
1
Last Page
7
Abstract
Atmospheric Lidar takes advantage of Rayleigh backscattering to create a relative density profile of the atmosphere. The method for temperature derivation is based on the work of Chanin and Hauchecorne (CH). Beginning with an initial temperature, and utilizing the ideal gas law, a downward integration procedure is applied to create a temperature profile from the density profile down to forty- five kilometers. Since this initial temperature is only a best guess, the temperatures towards the top of the profile may not be accurate. However, so long as the guess is reasonable, within perhaps a fifty Kelvin margin (though hopefully not so much), multiple guesses seem to converge after working down fifteen or so kilometers.
Recommended Citation
Hobbs, Jaren, "Forward Model for Temperature Derivation from Atmospheric Lidar" (2013). Physics Capstone Projects. Paper 1.
https://digitalcommons.usu.edu/phys_capstoneproject/1
Comments
Report submitted for Physics 4900 undergraduate research project. PDF available for download through link above