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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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https://doi.org/10.5194/amt-2020-56
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-2020-56
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  29 Apr 2020

29 Apr 2020

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This preprint is currently under review for the journal AMT.

Retrieval of daytime mesospheric ozone using OSIRIS observation of O2(a1g) emission

Anqi Li1, Chris Roth2, Kristell Pérot1, Ole Martin Christensen1, Adam M. Bourassa2, Doug Degenstein2, and Donal Murtagh1 Anqi Li et al.
  • 1Chalmers university of technology, Department of Space, Earth and Environment, Gothenburg, Sweden
  • 2Institute of Space and Atmospheric Studies, University of Saskatchewan, Saskatoon, Canada

Abstract. Improving knowledge of the ozone global distributions in the mesosphere-lower thermosphere (MLT) is a crucial step in understanding the behaviour of the middle atmosphere. However, the ozone concentration under sunlit conditions in the MLT is often so low that its measurement requires instruments with very high sensitivity. Fortunately, the bright oxygen airglow can serve as a proxy to retrieve the daytime ozone density indirectly, due to the strong connection to ozone photolysis in the Hartley band. The OSIRIS IR imager (hereafter IRI), one of the instruments on the Odin satellite, routinely measures the oxygen infrared atmospheric band (IRA band) at 1.27 μm. In this paper, we will describe the detailed steps of retrieving the calibrated IRA band limb radiance, the volume emission rate of O2(a1g) and, finally, the ozone number density. This retrieval technique is applied to a one-year-sample IRI dataset. The resulting product is a completely new ozone dataset with very high along-track resolution. The performance of the retrieval technique is demonstrated by a comparison of the coincident ozone measurements from the same spacecraft, as well as zonal mean and monthly average comparisons between OS, SMR, MIPAS and ACE-FTS. The consistency of this IRI ozone dataset implies that such a retrieval technique can be further applied to all the measurements made throughout the 19 years-long mission, leading to a long-term, high resolution dataset in the middle atmosphere.

Anqi Li et al.

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Anqi Li et al.

Anqi Li et al.

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