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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Volume 4, issue 7 | Copyright

Special issue: Atmospheric remote sensing using limb observations

Atmos. Meas. Tech., 4, 1319-1359, 2011
https://doi.org/10.5194/amt-4-1319-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 04 Jul 2011

Research article | 04 Jul 2011

BrO vertical distributions from SCIAMACHY limb measurements: comparison of algorithms and retrieval results

A. Rozanov1, S. Kühl2, A. Doicu4, C. McLinden8, J. Puķīte2, H. Bovensmann1, J. P. Burrows1, T. Deutschmann3, M. Dorf3, F. Goutail5, K. Grunow9,*, F. Hendrick6, M. von Hobe7, S. Hrechanyy4,7, G. Lichtenberg4, K. Pfeilsticker3, J. P. Pommereau5, M. Van Roozendael6, F. Stroh7, and T. Wagner2,3 A. Rozanov et al.
  • 1Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
  • 2Max Planck Institute for Chemistry, Mainz, Germany
  • 3Institute of Environmental Physics, University of Heidelberg, Heidelberg, Germany
  • 4German Aerospace Center (DLR) Oberpfaffenhofen, Oberpfaffenhofen, Germany
  • 5LATMOS, CNRS, UVSQ, Guyancourt, France
  • 6Belgian Institute for Space Aeronomy (IASB-BIRA), Brussels, Belgium
  • 7Jülich Research Center, Jülich, Germany
  • 8Environment Canada, Toronto, Canada
  • 9Meteorological Institute, Free University of Berlin, Berlin, Germany
  • *now at: Senatsverwaltung für Gesundheit, Umwelt und Verbraucherschutz, Berlin, Germany

Abstract. This study presents two scientific and one operational retrieval algorithms used to obtain vertical distributions of bromine monoxide (BrO) from observations of the scattered solar light performed by the SCIAMACHY instrument in limb viewing geometry. The study begins with a discussion of the theoretical basis of all algorithms followed by an investigation of the retrieval sensitivity. Simulations with three different radiative transfer models allow us to analyze influence of the forward model implementation upon the retrieval results. By means of synthetic retrievals we analyze major sources of uncertainties in the resulting BrO profiles such as different BrO cross sections, their temperature dependence, and stratospheric aerosols. Finally, the reliability of SCIAMACHY BrO profile retrievals is demonstrated comparing results from different algorithms to each other and to balloon-borne observations.

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