Large-Scale Gravity Waves in Daytime ICON-MIGHTI Data from 2020

Triplett, Colin; Harding, Brian J.; Wu, Yen‐Jung; England, S.; Englert, Christoph; Makela, J. J.; Stevens, M. H.; Immel, T. J.

doi:10.1007/s11214-022-00944-w

Cited by 3 publications

(1 citation statement)

References 37 publications

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“…The red‐line wind data cover the height range approximately 160–300 km during day and 200–300 km at night. These wind data are useful not only for studying the neutral dynamics of the thermosphere (e.g., Cullens et al., 2020; Englert et al., 2017; Forbes et al., 2022; He et al., 2021; Triplett et al., 2023; Yiğit et al., 2022) but also for investigating atmosphere‐ionosphere coupling processes, which can be realized by combining the ICON/MIGHTI wind data with ionospheric measurements made by ICON (e.g., England et al., 2021; Immel et al., 2021; Forbes et al., 2021; Park et al., 2021; Heelis et al., 2022; R. Zhang et al., 2022) or by other missions (e.g., Aa et al., 2022; Gasperini et al., 2021; Gasperini et al., 2022; Harding et al., 2022; Le et al., 2022; G. Liu et al., 2021; Oberheide, 2022; Yamazaki et al., 2021; Yamazaki, Arras, et al., 2022).…”

Section: Introductionmentioning

confidence: 99%

Monthly Climatologies of Zonal‐Mean and Tidal Winds in the Thermosphere as Observed by ICON/MIGHTI During April 2020–March 2022

Yamazaki

Harding

Qiu

et al. 2023

Earth and Space Science

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The uppermost layer of the Earth's atmosphere, the thermosphere, extends from ∼90 up to ∼600 km (e.g., Kato, 2007;Richmond, 1983). Early studies evaluated densities of the thermosphere based on the measurement of orbital decay of artificial satellites. Jacchia (1965) developed a global empirical model of thermospheric densities under the assumption of diffusive equilibrium. A by-product of the model was an estimate of the global distribution of air pressure. Theoretical studies found that the model pressure provides useful information for evaluating the global wind system in the thermosphere (Geisler, 1967;Kohl & King, 1967). It has been demonstrated that global motion of the air above approximately 150 km is primarily driven by solar-induced pressure gradients. That is, horizontal winds blow from the higher-temperature (and higher-pressure) dayside to the lower-temperature (and lower-pressure) nightside. On the other hand, the motion of the air in the lower thermosphere (<150 km) is often dominated by waves from the lower layers of the atmosphere. In particular, atmospheric tides (e.g., Lindzen & Chapman, 1969) are known to play an important role in the meteorology of the mesosphere and lower thermosphere.Theoretical models of the thermosphere were developed and used to explain how solar heating, as well as Joule heating in the polar region, drives the global circulation of the thermosphere under different seasonal conditions (e.g.,

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Section: Introductionmentioning

confidence: 99%

Monthly Climatologies of Zonal‐Mean and Tidal Winds in the Thermosphere as Observed by ICON/MIGHTI During April 2020–March 2022

Yamazaki

Harding

Qiu

et al. 2023

Earth and Space Science

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Ionospheric observations from formation flying spacecraft

Feggeler,

England

2024

Advances in Space Research

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Observation of horizontal temperature variations by a spatial heterodyne interferometer using single-sided interferograms

Ntokas,

Ungermann,

Kaufmann

et al. 2023

Atmos. Meas. Tech.

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Abstract. Analyses of the mesosphere and lower thermosphere suffer from a lack of global measurements. This is problematic because this region has a complex dynamic structure, with gravity waves playing an important role. A limb-sounding spatial heterodyne interferometer (SHI) was developed to obtain atmospheric temperature retrieved from the O2 A-band emission, which can be used to derive gravity wave parameters in this region. The 2-D spatial distribution of the atmospheric scene is captured by a focal plane array. The SHI superimposes the spectral information onto the horizontal axis across the line-of-sight (LOS). In the usual case, the instrument exploits the horizontal axis to obtain spectral information and uses the vertical axis to get spatial information, i.e. temperature observations at the corresponding tangent points. This results in a finely resolved 1-D vertical atmospheric temperature profile. However, this method does not make use of the horizontal across-LOS information contained in the data. In this paper a new processing method is investigated, which uses single-sided interferograms to gain horizontal across-LOS information about the observed temperature field. Hereby, the interferogram is split, and each side is mirrored at the centre of the horizontal axis. Each side can then be used to retrieve an individual 1-D temperature profile. The location of the two retrieved temperature profiles is analysed using prescribed horizontal temperature variations, as it is needed for deriving wave parameters. We show that it is feasible to derive two independent temperature profiles, which however will increase the requirements of an accurate calibration and processing.

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Large-Scale Gravity Waves in Daytime ICON-MIGHTI Data from 2020

Cited by 3 publications

References 37 publications

Monthly Climatologies of Zonal‐Mean and Tidal Winds in the Thermosphere as Observed by ICON/MIGHTI During April 2020–March 2022

Monthly Climatologies of Zonal‐Mean and Tidal Winds in the Thermosphere as Observed by ICON/MIGHTI During April 2020–March 2022

Ionospheric observations from formation flying spacecraft

Observation of horizontal temperature variations by a spatial heterodyne interferometer using single-sided interferograms

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