Date of Award:

8-2023

Document Type:

Thesis

Degree Name:

Master of Science (MS)

Department:

Physics

Committee Chair(s)

Tao Yuan

Committee

Tao Yuan

Committee

Ludger Scherliess

Committee

Jeong-Young Ji

Abstract

Derivation of Sodium (Na) number density from the Na lidar observations requires the in situ temperature and wind information because the absorption cross-section of the Na atom is a function of these dynamic parameters. The Na number density above ~ 110 km altitude was difficult to derive with the conventional algorithm, however. The standard output of the Na number density that utilizes the lidar-measured wind and temperature information falls short at ~ 110 km altitude and above due to the relatively large measurement uncertainties in the two critical parameters (low signal-to-noise ratio). Therefore, an innovative algorithm that may drive the Na number density directly from the Na fluorescence photon counting profiles is required for the Na number density investigation in the aforementioned region. This paper will introduce the innovative algorithm step by step and provide results for the hourly average Na number density and its variations from 2018 to 2021 in summer and winter.

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Included in

Physics Commons

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