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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Discussion papers
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 07 Mar 2019

Research article | 07 Mar 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Measurement Techniques (AMT).

Year-round stratospheric aerosol backscatter ratios calculated from lidar measurements above Northern Norway

Arvid Brand1, Gerd Baumgarten1, Jens Fiedler1, Franz-Josef Lübken1, Christian von Savigny2, and Jacob Zalach2 Arvid Brand et al.
  • 1Leibniz Institut für Atmoshärenphysik an der Universität Rostock, Schlossstraße 6, 18223 Kühlungsborn
  • 2Universität Greifswald, Felix-Hausdorff-Str. 6, 17489 Greifswald

Abstract. In this work, the processing of a year-round stratospheric sulphate aerosol (SSA) dataset from day- and nighttime lidar measurements is presented. The SSA layer is of fundamental importance for the radiative balance of the atmosphere. The layer is found at altitudes between the tropopause and about 30 km. We use a state of the art Doppler Rayleigh-Mie-Raman lidar at the ALOMAR research station located in Northern Norway (69° N, 16° E) to observe the aerosol layer and derive microphysical properties. The lidar allows the investigation of SSA from small spatial and temporal scales to decadal variations. The aerosol backscatter ratio is derived by using a multi-wavelength approach and different scattering processes. Here we introduce a method for the extension of the dataset throughout the summer where measurements have to be performed under permanent daytime conditions. We calculate backscatter ratios from color ratios of elastic scattered light at the wavelengths 355, 532 and 1064 nm. These color ratios are corrected using an average backscatter ratio profile at 355 nm from the years 2000 to 2018. Thereby, we are able to extend the dataset from 2883 hours of nighttime data to 7273 hours of total data time between 2000 and 2018.

Arvid Brand et al.
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Status: final response (author comments only)
Status: final response (author comments only)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Arvid Brand et al.
Arvid Brand et al.
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