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Discussion papers | Copyright
https://doi.org/10.5194/amt-2018-153
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 25 Jun 2018

Research article | 25 Jun 2018

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

BOREAS – a new MAX-DOAS profile retrieval algorithm for aerosols and trace gases

Tim Bösch1, Vladimir Rozanov1, Andreas Richter1, Enno Peters1,a, Alexei Rozanov1, Folkard Wittrock1, Alexis Merlaud4, Johannes Lampel3,9, Stefan Schmitt3, Marijn de Haij2, Stijn Berkhout6, Bas Henzing5, Arnoud Apituley2, Mirjam den Hoed2, Jan Vonk6, Martin Tiefengraber7,8, Moritz Müller7,8, and John Philip Burrows1 Tim Bösch et al.
  • 1Institute of Environmental Physics, University of Bremen, Bremen, Germany
  • 2Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
  • 3Institute of Environmental Physics, University of Heidelberg, Heidelberg, Germany
  • 4Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
  • 5Netherlands Organization for Applied Scientific Research (TNO), Utrecht, the Netherlands
  • 6National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
  • 7LuftBlick, Kreith, Austria
  • 8Institute of Atmospheric and Cryospheric Sciences, University of Innsbruck, Innsbruck, Austria
  • 9Airyx GmbH, Eppelheim, Germany
  • anow at: Institute for protection of maritime infrastructures, Bremerhaven, Germany

Abstract. We present a new MAX-DOAS profiling algorithm for aerosols and trace gases, BOREAS, which utilizes an iterative solution method including Tikhonov regularization and the optimal estimation technique. Performance tests are separated into two parts. First, we address the general sensitivity of the retrieval on the example of synthetic data calculated with the radiative transfer model SCIATRAN. In a second part of the study, we demonstrate BOREAS profiling accuracy by validating results with the help of ancillary measurements carried out during the CINDI-2 campaign in Cabauw, the Netherlands in 2016. The synthetic sensitivity tests indicate, that the regularization between measurement and a priori constraints is insufficient when knowledge of the true state of the atmosphere is poor. We demonstrate a priori pre-scaling and extensive regularization tests as a tool for the optimization of retrieved profiles. The comparison of retrieval results with in situ, ceilometer, NO2 LIDAR, sonde and long path DOAS measurements during the CINDI-2 campaign always shows high correlations with coefficients greater than 0.79. The largest differences can be found in the morning hours, when the planetary boundary layer is not yet fully developed and the concentration of trace gases and aerosol, as a result of a low night-time boundary layer having formed, is focused in a shallow, surface near layer.

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A new MAX-DOAS profiling algorithm for aerosols and trace gases was developed. The performance of this novel algorithm was tested with the help of synthetic data and measurements from the CINDI-2 campaign in Cabauw, the Netherlands in 2016.
A new MAX-DOAS profiling algorithm for aerosols and trace gases was developed. The performance...
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