Remote Sensing (Dec 2022)

Influence of Scattered Sunlight for Wind Measurements with the O<sub>2</sub>(a<sup>1</sup>Δ<sub>g</sub>) Dayglow

  • Weiwei He,
  • Xiangrui Hu,
  • Houmao Wang,
  • Daoqi Wang,
  • Juan Li,
  • Faquan Li,
  • Kuijun Wu

DOI
https://doi.org/10.3390/rs15010232
Journal volume & issue
Vol. 15, no. 1
p. 232

Abstract

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Observing the O2(a1Δg) dayglow with the limb-viewing DASH instrument enables remote sensing of neutral wind in near space. Many advantages are gained by using this new approach, but the influence factors on measurement accuracy have not been thoroughly investigated. This paper reports the quantitative evaluation of the wind error caused by scattered sunlight. The spectral concept of the O2(a1Δg) band and the measurement technique are briefly described. A comprehensive truth model simulation that is based on atmospheric limb radiance spectra and the instrument concept are used to obtain interferogram images. The algorithm, which uses these images to retrieve the interferogram containing information solely from the target altitude, is described. The self-absorption effect is taken into account in the unraveling of the line-of-sight integration. The influence of scattered sunlight on the limb-viewing weight and signal-to-noise ratio, two definitive factors for wind definitive factors, are also described. Representative wind precision profiles and their variation with surface albedo, aerosol loading, and cloud are presented. This indicates that the random error for Doppler wind is in the range of 2–3 m/s for the tangent height range from 45–80 km, and the wind precision under 45 km suffers significantly from scattered sunlight background.

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