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Volume 13
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10.3390/atmos13081309
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Article

Simulation of Mesosphere Wind Measurement with Multiple Emission Lines of the O2(0-1) Band Using Space-Based Doppler Asymmetric Spatial Heterodyne

by
Di Fu
1,2,
Hengxiang Zhao
1,
Juan Li
1,
Kuijun Wu
3,
Chenguang Chang
1,2,
Lu Bai
4,
Yutao Feng
1,* and
Xuebin Liu
1,*
1
Laboratory of Spectral Imaging Technology, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710119, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
3
School of Optic-Electronic Information Science and Technology, Yantai University, Yantai 264005, China
4
School of Physics, Xidian University, Xi’an 710071, China
*
Authors to whom correspondence should be addressed.
Atmosphere 2022, 13(8), 1309; https://doi.org/10.3390/atmos13081309
Submission received: 18 July 2022 / Revised: 8 August 2022 / Accepted: 15 August 2022 / Published: 17 August 2022
(This article belongs to the Special Issue Remote Sensing and Modelling of Wind Fields)
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Abstract

For space-based atmospheric wind measurements, full-link simulation is critical for the optimization of the instrument indicators and the evaluation of the measurements’ performance. This paper presents observation simulations and error verification of the mesosphere wind measurement with four emission lines of the O2(0-1) band by using the space-based Doppler Asymmetric Spatial Heterodyne (DASH), named the Mesosphere Wind Image Interferometer (MWII). The passive wind measurement principle and the DASH concept are first described. The full-link simulation consists of radiation simulation, the instrument forward model, and the wind retrieval model. The four emission lines at about 866.5 nm of the O2(0-1) band were selected as the observation targets. The radiation characteristics of the target lines were studied and calculated, as well as the background radiation. Based on the LOS radiation integral model, a numerical simulation of the raw observation data was carried out using the instrument model. The interference fringe priority strategy and joint wind decision method were proposed to achieve multiple-emission-line wind retrieval with higher precision. In the simulation, multiple-line retrieval could improve the precision by more than 30% compared to single-line retrieval under the same conditions. The error simulation indicated that the wind profile precision was 3–9 m/s in the altitude range of 50–110 km, with an average accuracy of about 1 m/s, proving that the scheme of MWII has good altitude coverage of the whole mesosphere and a part of the lower thermosphere.
Keywords: space-based wind measurement; mesosphere; Doppler Asymmetric Spatial Heterodyne (DASH); multiple emission lines measurement; observation simulation; error analysis space-based wind measurement; mesosphere; Doppler Asymmetric Spatial Heterodyne (DASH); multiple emission lines measurement; observation simulation; error analysis

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MDPI and ACS Style

Fu, D.; Zhao, H.; Li, J.; Wu, K.; Chang, C.; Bai, L.; Feng, Y.; Liu, X. Simulation of Mesosphere Wind Measurement with Multiple Emission Lines of the O2(0-1) Band Using Space-Based Doppler Asymmetric Spatial Heterodyne. Atmosphere 2022, 13, 1309. https://doi.org/10.3390/atmos13081309

AMA Style

Fu D, Zhao H, Li J, Wu K, Chang C, Bai L, Feng Y, Liu X. Simulation of Mesosphere Wind Measurement with Multiple Emission Lines of the O2(0-1) Band Using Space-Based Doppler Asymmetric Spatial Heterodyne. Atmosphere. 2022; 13(8):1309. https://doi.org/10.3390/atmos13081309

Chicago/Turabian Style

Fu, Di, Hengxiang Zhao, Juan Li, Kuijun Wu, Chenguang Chang, Lu Bai, Yutao Feng, and Xuebin Liu. 2022. "Simulation of Mesosphere Wind Measurement with Multiple Emission Lines of the O2(0-1) Band Using Space-Based Doppler Asymmetric Spatial Heterodyne" Atmosphere 13, no. 8: 1309. https://doi.org/10.3390/atmos13081309

APA Style

Fu, D., Zhao, H., Li, J., Wu, K., Chang, C., Bai, L., Feng, Y., & Liu, X. (2022). Simulation of Mesosphere Wind Measurement with Multiple Emission Lines of the O2(0-1) Band Using Space-Based Doppler Asymmetric Spatial Heterodyne. Atmosphere, 13(8), 1309. https://doi.org/10.3390/atmos13081309

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