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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Volume 6, issue 9
Atmos. Meas. Tech., 6, 2521–2531, 2013
https://doi.org/10.5194/amt-6-2521-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Meas. Tech., 6, 2521–2531, 2013
https://doi.org/10.5194/amt-6-2521-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 27 Sep 2013

Research article | 27 Sep 2013

Retrieval of nitric oxide in the mesosphere and lower thermosphere from SCIAMACHY limb spectra

S. Bender1, M. Sinnhuber1, J. P. Burrows2, M. Langowski2, B. Funke3, and M. López-Puertas3 S. Bender et al.
  • 1Karlsruhe Institute of Technology, Karlsruhe, Germany
  • 2University of Bremen, Bremen, Germany
  • 3Instituto de Astrofísica de Andalucía, CSIC, Granada, Spain

Abstract. We use the ultra-violet (UV) spectra in the range 230–300 nm from the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) to retrieve the nitric oxide (NO) number densities from atmospheric emissions in the gamma-bands in the mesosphere and lower thermosphere. Using 3-D ray tracing, a 2-D retrieval grid, and regularisation with respect to altitude and latitude, we retrieve a whole semi-orbit simultaneously for the altitude range from 60 to 160 km.

We present details of the retrieval algorithm, first results, and initial comparisons to data from the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS). Our results agree on average well with MIPAS data and are in line with previously published measurements from other instruments. For the time of available measurements in 2008–2011, we achieve a vertical resolution of 5–10 km in the altitude range 70–140 km and a horizontal resolution of about 9° from 60° S–60° N. With this we have independent measurements of the NO densities in the mesosphere and lower thermosphere with approximately global coverage. This data can be further used to validate climate models or as input for them.

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