Articles | Volume 11, issue 4
https://doi.org/10.5194/amt-11-2085-2018
https://doi.org/10.5194/amt-11-2085-2018
Research article
 | 
12 Apr 2018
Research article |  | 12 Apr 2018

Aerosol particle size distribution in the stratosphere retrieved from SCIAMACHY limb measurements

Elizaveta Malinina, Alexei Rozanov, Vladimir Rozanov, Patricia Liebing, Heinrich Bovensmann, and John P. Burrows

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Cited articles

Arosio, C., Rozanov, A., Malinina, E., Eichmann, K.-U., von Clarmann, T., and Burrows, J. P.: Retrieval of ozone profiles from OMPS limb scattering observations, Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2017-301, in review, 2017.
Bingen, C., Fussen, D., and Vanhellemont, F.: A global climatology of stratospheric aerosol size distribution parameters derived from SAGE II data over the period 1984–2000: 1. Methodology and climatological observations, J. Geophys. Res.-Atmos., 109, D06201, https://doi.org/10.1029/2003JD003518, 2004a.
Bingen, C., Fussen, D., and Vanhellemont, F.: A global climatology of stratospheric aerosol size distribution parameters derived from SAGE II data over the period 1984–2000: 2. Reference data, J. Geophys. Res.-Atmos., 109, D06202, https://doi.org/10.1029/2003JD003511, 2004b.
Bingen, C., Robert, C. E., Stebel, K., Brühl, C., Schallock, J., Vanhellemont, F., Mateshvili, N., Höpfner, M., Trickl, T., Barnes, J. E., Jumelet, J., Vernier, J.-P., Popp, T., de Leeuw, G., and Pinnock, S.: Stratospheric aerosol data records for the climate change initiative: Development, validation and application to chemistry-climate modelling, Remote Sens. Environ., 203, 296–321, 2017.
Bourassa, A. E., Rieger, L. A., Lloyd, N. D., and Degenstein, D. A.: Odin-OSIRIS stratospheric aerosol data product and SAGE III intercomparison, Atmos. Chem. Phys., 12, 605–614, https://doi.org/10.5194/acp-12-605-2012, 2012.
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Short summary
Stratospheric aerosols play an important role in climate change. This paper presents the retrieval algorithm of two aerosol particle size distribution parameters in the stratosphere from remote sensing instruments. A unique data set was created by implementing this algorithm on SCIAMACHY limb measurements. The general behaviour of the aerosol particle size parameters was revealed. Comparison of the retrieved parameters with another instrument showed good agreement.