Articles | Volume 17, issue 2
https://doi.org/10.5194/amt-17-783-2024
https://doi.org/10.5194/amt-17-783-2024
Research article
 | 
31 Jan 2024
Research article |  | 31 Jan 2024

Assessing atmospheric gravity wave spectra in the presence of observational gaps

Mohamed Mossad, Irina Strelnikova, Robin Wing, and Gerd Baumgarten

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Cited articles

Alexander, M., Tsuda, T., and Vincent, R. N.: Latitudinal Variations Observed in Gravity Waves with Short Vertical Wavelengths, J. Atmos. Sci., 59, 1394–1404, https://doi.org/10.1175/1520-0469(2002)059<1394:LVOIGW>2.0.CO;2, 2002. a
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Babu, P. and Stoica, P.: Spectral analysis of nonuniformly sampled data – a review, Digit. Signal Process., 20, 359–378, https://doi.org/10.1016/j.dsp.2009.06.019, 2010. a
Beldon, C. L. and Mitchell, N. J.: Gravity wave–tidal interactions in the mesosphere and lower thermosphere over Rothera, Antarctica (68 S, 68 W), J. Geophys. Res., 115, D18101, https://doi.org/10.1029/2009jd013617, 2010. a
Beres, J., Garcia, R. R., Boville, B. A., and Sassi, F.: Implementation of a gravity wave source spectrum parameterization dependent on the properties of convection in the Whole Atmosphere Community Climate Model (WACCM), J. Geophys. Res., 110, D10108, https://doi.org/10.1029/2004jd005504, 2005. a
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Short summary
This numerical study addresses observational gaps' impact on atmospheric gravity wave spectra. Three methods, fast Fourier transform (FFT), generalized Lomb–Scargle periodogram (GLS), and Haar structure function (HSF), were tested on synthetic data. HSF is best for spectra with negative slopes. GLS excels for flat and positive slopes and identifying dominant frequencies. Accurately estimating these aspects is crucial for understanding gravity wave dynamics and energy transfer in the atmosphere.
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