Articles | Volume 11, issue 4
https://doi.org/10.5194/amt-11-2135-2018
https://doi.org/10.5194/amt-11-2135-2018
Research article
 | 
13 Apr 2018
Research article |  | 13 Apr 2018

Retrieval of ozone profiles from OMPS limb scattering observations

Carlo Arosio, Alexei Rozanov, Elizaveta Malinina, Kai-Uwe Eichmann, Thomas von Clarmann, and John P. Burrows

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Cited articles

Aschmann, J., Burrows, J. P., Gebhardt, C., Rozanov, A., Hommel, R., Weber, M., and Thompson, A. M.: On the hiatus in the acceleration of tropical upwelling since the beginning of the 21st century, Atmos. Chem. Phys., 14, 12803–12814, https://doi.org/10.5194/acp-14-12803-2014, 2014.
Bhartia, P., Jaross, G., Larsen, J., and Fleig, A.: Science Team Evaluation of the OMPS Limb Profiler, Tech. rep., 2013.
Bogumil, K., Orphal, J., Burrows, J. P., et al.: Temperature dependent absorption cross sections of O3, NO2, and other atmospheric trace gases measured with the SCIAMACHY spectrometer, in: Proceedings of the ERS-Envisat-Symposium, Goteborg, Sweden, 2000.
Burrows, J., Hölzle, E., Goede, A., Visser, H., and Fricke, W.: SCIAMACHY – Scanning imaging absorption spectrometer for atmospheric chartography, Acta Astronautica, 35, 445–451, 1995.
Davis, S. M., Rosenlof, K. H., Hassler, B., Hurst, D. F., Read, W. G., Vömel, H., Selkirk, H., Fujiwara, M., and Damadeo, R.: The Stratospheric Water and Ozone Satellite Homogenized (SWOOSH) database: a long-term database for climate studies, Earth Syst. Sci. Data, 8, 461–490, https://doi.org/10.5194/essd-8-461-2016, 2016.
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Short summary
This paper describes the development of a retrieval algorithm at the University of Bremen which derives stratospheric ozone profiles from limb observations performed by the OMPS satellite instrument. Here we present the implementation of the algorithm and the validation of our results (1 year of data against independent satellite and ground-based measurements). Good agreement is generally found between 20 and 55 km, mostly within 10 % at all latitudes.
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