A mesospheric airglow multichannel photometer and an optical method to measure mesospheric AGW intrinsic parameters

Mangognia, A. D.; Swenson, G. R.; Vargas, Fábio; Liu, Alan

doi:10.1016/j.jastp.2016.02.018

Cited by 2 publications

(4 citation statements)

References 28 publications

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“…After 23:00 UT, λ h decreases rapidly within 1 h, from 2000 to 200 km. This is a clear sign for a gradient in the horizontal wind field, as ∂λ h ∂t ∼ ∂u ∂x (Marks and Eckermann, 1995;Stober et al, 2018). As evident from Fig.…”

Section: Medium-period Gravity Wavesmentioning

confidence: 62%

“…Assuming a constant horizontal wavelength, i.e. no horizontal gradients in the horizontal wind (Marks and Eckermann, 1995), the intrinsic period becomes larger than the observed period if the background wind is oriented in the same direction as the observed phase velocity and 0 < u 0 < c. The intrinsic period becomes smaller than the observed period if the background wind is oriented against the observed phase velocity and u 0 < 0. The intrinsic frequency of vertically propagating GWs is limited to f < < N (Nappo, 2002), with N being the Brunt-Väisälä frequency and f being the Coriolis parameter.…”

Section: Intrinsic Periodmentioning

confidence: 88%

“…At the same time the variation in λ z provides evidence for a vertical wind shear. We rearrange the ray-tracing equations stated by Marks and Eckermann (1995), yielding…”

Section: Large-period Gravity Wavesmentioning

confidence: 99%

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Retrieval of intrinsic mesospheric gravity wave parameters using lidar and airglow temperature and meteor radar wind data

Reichert

Kaifler

et al. 2019

Atmos. Meas. Tech.

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Abstract. We analyse gravity waves in the upper-mesosphere, lower-thermosphere region from high-resolution temperature variations measured by the Rayleigh lidar and OH temperature mapper. From this combination of instruments, aided by meteor radar wind data, the full set of ground-relative and intrinsic gravity wave parameters are derived by means of the novel WAPITI (Wavelet Analysis and Phase line IdenTIfication) method. This WAPITI tool decomposes the gravity wave field into its spectral component while preserving the temporal resolution, allowing us to identify and study the evolution of gravity wave packets in the varying backgrounds. We describe WAPITI and demonstrate its capabilities for the large-amplitude gravity wave event on 16–17 December 2015 observed at Sodankylä, Finland, during the GW-LCYCLE-II (Gravity Wave Life Cycle Experiment) field campaign. We present horizontal and vertical wavelengths, phase velocities, propagation directions and intrinsic periods including uncertainties. The results are discussed for three main spectral regions, representing small-, medium- and large-period gravity waves. We observe a complex superposition of gravity waves at different scales, partly generated by gravity wave breaking, evolving in accordance with a vertically and presumably also horizontally sheared wind.

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Section: Medium-period Gravity Wavesmentioning

confidence: 62%

Section: Intrinsic Periodmentioning

confidence: 88%

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Retrieval of intrinsic mesospheric gravity wave parameters using lidar and airglow temperature and meteor radar wind data

Reichert

Kaifler

et al. 2019

Atmos. Meas. Tech.

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“…Nyassor et al, 2018). Mangognia et al (2016) proposed a multi-channel instrument to deduce vertical wavelengths which must otherwise be determined from the dispersion relation or in combination with other observation techniques. Especially sodium lidar instruments, providing vertical soundings of vertical wind and temperature in the sodium layer located above the OH layer, were essential in order to derive vertical wavelengths, phase speeds and momentum fluxes in the MLT region (Swenson et al, 1999;Jia et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Retrieval of intrinsic mesospheric gravity wave parameters using lidar and airglow temperature and meteor radar wind data

Reichert¹,

Kaifler²,

Kaifler³

et al. 2019

Preprint

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Abstract. We analyze gravity waves in the mesosphere, lower thermosphere region from high-resolution temperature variation measured by Rayleigh lidar and OH temperature mapper. From this combination of instruments, aided by meteor radar wind data, the full set of ground-relative and intrinsic gravity wave parameters are derived by means of the novel WAPITI method. This Wavelet Analysis and Phase line IdenTIfication tool decomposes the gravity wave field into its spectral components while preserving the temporal resolution, allowing us to identify and study the evolution of gravity wave packets in the varying background. We describe WAPITI and demonstrate its capabilities for the large-amplitude gravity wave event on 16/17 December 2015 observed at Sodankylä, Finland, during the GW-LCYCLE-II field campaign. We present horizontal and vertical wavelengths, phase velocities, propagation directions and intrinsic periods including uncertainties. The results are discussed for three main spectral regions, representing short, medium and long-period gravity waves. We observe a complex superposition of gravity waves at different scales, partly generated by gravity wave breaking, evolving in accordance with a vertically and presumably also horizontally sheared wind.

show abstract

A mesospheric airglow multichannel photometer and an optical method to measure mesospheric AGW intrinsic parameters

Cited by 2 publications

References 28 publications

Retrieval of intrinsic mesospheric gravity wave parameters using lidar and airglow temperature and meteor radar wind data

Retrieval of intrinsic mesospheric gravity wave parameters using lidar and airglow temperature and meteor radar wind data

Retrieval of intrinsic mesospheric gravity wave parameters using lidar and airglow temperature and meteor radar wind data

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