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Open AccessArticle

Spectral Analysis of Gravity Waves from Near Space High-Resolution Balloon Data in Northwest China

College of Meteorology and Oceanology, National University of Defense Technology, Changsha, 410073, China
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Atmosphere 2020, 11(2), 133; https://doi.org/10.3390/atmos11020133
Received: 2 January 2020 / Revised: 19 January 2020 / Accepted: 22 January 2020 / Published: 24 January 2020
(This article belongs to the Special Issue Gravity Waves in the Atmosphere)
Using a set of near space high-resolution balloon data released in Hami, Xinjiang, we explored the spectral characteristics of temperature fluctuations and three-dimensional wind field fluctuations. As different from previous studies, which were based on radiosondes, we have increased the height range of spectral analysis to the stratosphere (38 km), which can explore the variation of spectral features with altitude, and can analyze higher wavenumber regions. The results show that horizontal wind field disturbances are isotropic, meridional and zonal winds have relatively consistent spectral structures, while vertical wind fluctuations have completely different spectral structures, which cannot be explained by the existing “universal spectrum” theory. The observed spectrum of horizontal wind field can be explained well by the “wind-shifting” theory. The ratio of spectral kinetic energy to potential energy is approximately constant only in the high wavenumber region but it varies at different height intervals. This study is a necessary extension of the observation for the characteristics of the vertical wavenumber spectrum in northwestern China, and it is also an experimental observation of spectral characteristics using radiosonde data at higher altitudes.
Keywords: vertical wavenumber spectrum; gravity wave; instruments and techniques vertical wavenumber spectrum; gravity wave; instruments and techniques
MDPI and ACS Style

He, Y.; Sheng, Z.; He, M. Spectral Analysis of Gravity Waves from Near Space High-Resolution Balloon Data in Northwest China. Atmosphere 2020, 11, 133.

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