Articles | Volume 25, issue 23
https://doi.org/10.5194/acp-25-17595-2025
https://doi.org/10.5194/acp-25-17595-2025
Research article
 | 
04 Dec 2025
Research article |  | 04 Dec 2025

A novel identification method for stratospheric gravity waves in nadir viewing satellite observations

Peter G. Berthelemy, Corwin J. Wright, Neil P. Hindley, Phoebe E. Noble, and Lars Hoffmann

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Cited articles

Achatz, U., Alexander, M. J., Becker, E., Chun, H.-Y., Dörnbrack, A., Holt, L., Plougonven, R., Polichtchouk, I., Sato, K., Sheshadri, A., Stephan, C. C., Niekerk, A. V., and Wright, C. J.: Atmospheric Gravity Waves: Processes and Parameterization, Journal of the Atmospheric Sciences, 81, 237–262, https://doi.org/10.1175/JAS-D-23-0210.1, 2024. a
Alexander, M., Eckermann, S. D., Broutman, D., and Ma, J.: Momentum flux estimates for South Georgia Island mountain waves in the stratosphere observed via satellite, Geophysical Research Letters, 36, https://doi.org/10.1029/2009gl038587, 2009. a
Alexander, M. J., Geller, M., McLandress, C., Polavarapu, S., Preusse, P., Sassi, F., Sato, K., Eckermann, S., Ern, M., Hertzog, A., Kawatani, Y., Pulido, M., Shaw, T. A., Sigmond, M., Vincent, R., and Watanabe, S.: Recent developments in gravity-wave effects in climate models and the global distribution of gravity-wave momentum flux from observations and models, Quarterly Journal of the Royal Meteorological Society, 136, 1103–1124, 2010. a
Alexander, M. J. and Barnet, C.: Using Satellite Observations to Constrain Parameterizations of Gravity Wave Effects for Global Models, Journal of the Atmospheric Sciences, 64, 1652–1665, https://doi.org/10.1175/JAS3897.1, 2007. a, b
Alexander, M. J. and Teitelbaum, H.: Observation and analysis of a large amplitude mountain wave event over the Antarctic peninsula, J. Geophys. Res., 112, https://doi.org/10.1029/2006jd008368, 2007. a
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Short summary
Atmospheric gravity waves are one of the key mechanisms for moving energy upwards through the atmosphere. We use temperature data to see them from a satellite, and here have made a new method to automatically detect them. This works by seeing if points next to each other are from the same wave. This is useful for creating larger gravity wave datasets without noise, which can then be used by climate forecasters to improve their understanding of the atmosphere.
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