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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Volume 4, issue 5 | Copyright

Special issue: Atmospheric remote sensing using limb observations

Atmos. Meas. Tech., 4, 965-972, 2011
https://doi.org/10.5194/amt-4-965-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 26 May 2011

Research article | 26 May 2011

Fast NO2 retrievals from Odin-OSIRIS limb scatter measurements

A. E. Bourassa1, C. A. McLinden2, C. E. Sioris2, S. Brohede3, A. F. Bathgate1, E. J. Llewellyn1, and D. A. Degenstein1 A. E. Bourassa et al.
  • 1Institute of Space and Atmospheric Studies, University of Saskatchewan, Saskatchewan, Canada
  • 2Environment Canada, Downsview, Ontario, Canada
  • 3Department of Radio and Space Science, Chalmers University of Technology, Gotebörg, Sweden

Abstract. The feasibility of retrieving vertical profiles of NO2 from space-based measurements of limb scattered sunlight has been demonstrated using several different data sets since the 1980's. The NO2 data product routinely retrieved from measurements made by the Optical Spectrograph and InfraRed Imaging System (OSIRIS) instrument onboard the Odin satellite uses a spectral fitting technique over the 437 to 451 nm range, over which there are 36 individual wavelength measurements. In this work we present a proof of concept technique for the retrieval of NO2 using only 4 of the 36 OSIRIS measurements in this wavelength range, which reduces the computational cost by almost an order of magnitude. The method is an adaptation of a triplet analysis technique that is currently used for the OSIRIS retrievals of ozone at Chappuis band wavelengths. The results obtained are shown to be in very good agreement with the spectral fit method, and provide an important alternative for applications where the computational burden is very high. Additionally this provides a baseline for future instrument design in terms of cost effectiveness and reducing spectral range requirements.

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