the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Impact of lower atmospheric scattering on ground-based optical thermospheric wind observations with spatially uneven airglow
Abstract. Scattered airglow emissions in the lower atmosphere can bias ground-based interferometer observations of thermospheric winds, particularly when airglow brightness becomes spatially uneven due to auroras. During two geomagnetic storms with visible auroras on May 10th and Oct. 10th, 2024, the Doppler Asymmetric Spatial Heterodyne (DASH) and Fabry-Perot (FP) interferometers concurrently detected atypical winds at Siziwang (SIZW, 41.83° N, 111.93° E), suspected to be caused by scattering. These atypical winds, characterized by horizontal differences exceeding 400 m∙s⁻¹ between opposite cardinal directions (N–S or E–W) and downwelling exceeding 100 m∙s⁻¹, showed a strong temporal association with airglow brightness. By modelling the transmission of scattered airglow emissions, we calculated post-scattering wind speeds as the initial wind speeds weighted by both scattered and direct intensities. With fixed initial speeds, the simulation reproduced the temporal characteristics of the atypical winds, demonstrating that scattering causes these intense horizontal differences and downwelling. The simulation also shows that the scattering-induced biases have directional inhomogeneity with characteristics linked to the location and background line-of-sight speed of the brighter airglow region. The commonly used horizontal average wind may experience numerical deviations due to directional inhomogeneity. The accuracy of the simulation is limited by the accuracy of airglow observations and atmospheric optical depth.
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Status: open (until 15 Sep 2025)
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RC1: 'Comment on egusphere-2025-3326', Anonymous Referee #2, 28 Aug 2025
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In the response to earlier comments the authors used TIEGCM simulation to justify wind field differences between N and S viewing directions cannot be larger than certain values. I don't think TIEGCM with resolution 100 km? can be a good reference. TIEGCM electric field is based on empirical convection pattern does not have small structure you would expect to see near auroral zone. Some additional clarifications are needed.
Citation: https://doi.org/10.5194/egusphere-2025-3326-RC1 -
RC2: 'Comment on egusphere-2025-3326', Anonymous Referee #1, 29 Aug 2025
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When we consider the simple reflection path illustrated in (b) and (c) of Figure 1, it appears that the wind speed fluctuation might be expected to follow the order U_LOS_S > U_LOS_Z > U_LOS_N. As shown in Figures 3b, 3f, and 5b, the model calculations seem to support this expectation. However, it is important to note that the observed results do not reflect the same pattern. This discrepancy may benefit from further explanation in the text. While it is reasonable to assume that reflection has some influence on wind speed, the notable difference between the model calculations and the observed results suggests that it may be difficult to agree that the effect of reflection is substantial.
L70: “During two geomagnetic storms with visible auroras” > “During two geomagnetic storms on May 10th and Oct. 13, 2024 with visible auroras”
L72-73: “The observations were unaffected by moonlight or clouds, and the interferometer retrieval errors were acceptable.” How did you confirm these?
L139: “The LOS speed is used directly instead of the Doppler shift, assuming a constant background temperature.” This sentence requires revision. I have two comments: (1) To my knowledge, the LOS speed is derived from the Doppler shift measured by the optical interferometer. In this process, the Doppler shift seems more like a "direct" measurement rather than the LOS speed itself. (2) I find it unclear why the assumption of a constant background temperature is necessary. This should be more explicitly addressed in the text.
L140: “After binning different LOS speeds and computing the corresponding scattered light intensity, contaminated LOS speeds are calculated via weighted average, simplifying the wind simulation.” The procedure for "binning different LOS speeds" is unclear to me. Is it similar to pixel binning, a technique used in digital camera sensors?
Citation: https://doi.org/10.5194/egusphere-2025-3326-RC2
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