Thermospheric Density Response to the QBO Signal

Author:

Li Bo1,Cui Ruifei2,Weng Libin1

Affiliation:

1. Institute of Meteorology and Oceanography, National University of Defense Technology, Changsha 410073, China

2. State Key Laboratory of Astronautic Dynamics, Xi’an 710000, China

Abstract

In this study, we focused on the periodic variations of global average thermospheric density, derived from orbital decay measurements of about 5000 space objects from 1967 to 2013, by using the wavelet power spectrum method. The results demonstrated that the thermospheric density showed an ~11-year period, with semiannual and annual variations, while the seasonal variation was usually more significant under high solar activity conditions. Importantly, we investigated the possible link between the thermospheric density and the QBO, with the aid of the Global Average Mass Density Model (GAMDM) and the different density residuals method. The difference between the measured density and the GAMDM empirical model seemingly had QBO signal, but the ratio of them revealed that the QBO signal could not detect in the thermospheric density. Comprehensively, we found that the stratospheric QBO cannot impact on the thermosphere, and more data and numerical modeling are needed for further validation.

Funder

National Natural Science Foundation of China

Provincial Natural Science Foundation of Hunan

National University of Defense Technology

Publisher

MDPI AG

Subject

Atmospheric Science,Environmental Science (miscellaneous)

Reference25 articles.

1. Thermospheric density: An overview of temporal and spatial variations;Qian;Space Sci. Rev.,2012

2. Thermospheric mass density: A review;Emmert;Adv. Space Res.,2015

3. Weng, L. (2019). Characterization and Modeling of Thermospheric Density Variations, University of Science and Technology of China.

4. Altitude and solar activity dependence of 1967–2005 thermospheric density trends derived from orbital drag;Emmert;J. Geophys. Res. Space Phys.,2015

5. A machine-learning approach to derive long-term trends of thermospheric density;Weng;Geophys. Res. Lett.,2020

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