Articles | Volume 12, issue 4
https://doi.org/10.5194/amt-12-2155-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-12-2155-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Intercomparison of MAX-DOAS vertical profile retrieval algorithms: studies using synthetic data
Udo Frieß
CORRESPONDING AUTHOR
Institute of Environmental Physics, University of Heidelberg, Heidelberg, Germany
Steffen Beirle
Max Planck Institute for Chemistry, Mainz, Germany
Leonardo Alvarado Bonilla
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Tim Bösch
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Martina M. Friedrich
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
François Hendrick
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Ankie Piters
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Andreas Richter
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Michel van Roozendael
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Vladimir V. Rozanov
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Elena Spinei
NASA-Goddard, Greenbelt, Maryland, USA
now at: Virginia Tech, Blacksburg, Virginia, USA
Jan-Lukas Tirpitz
Institute of Environmental Physics, University of Heidelberg, Heidelberg, Germany
Tim Vlemmix
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Thomas Wagner
Max Planck Institute for Chemistry, Mainz, Germany
Yang Wang
Max Planck Institute for Chemistry, Mainz, Germany
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- Validation of Water Vapor Vertical Distributions Retrieved from MAX-DOAS over Beijing, China H. Lin et al. 10.3390/rs12193193
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Latest update: 20 Nov 2024
Short summary
Multi-axis differential optical absorption spectroscopy (MAX-DOAS) is a widely used measurement technique for the detection of a variety of atmospheric trace gases. It enables the retrieval of aerosol and trace gas vertical profiles in the atmospheric boundary layer using appropriate retrieval algorithms. In this study, the ability of eight profile retrieval algorithms to reconstruct vertical profiles is assessed on the basis of synthetic measurements.
Multi-axis differential optical absorption spectroscopy (MAX-DOAS) is a widely used measurement...