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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Latest update: 18 Jul 2024
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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.