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  The Mainz Profile Algorithm (MAPA)

Beirle, S., Dörner, S., Donner, S., Remmers, J., Wang, Y., & Wagner, T. (2019). The Mainz Profile Algorithm (MAPA). Atmospheric Measurement Techniques, 12(3), 1785-1806. doi:10.5194/amt-12-1785-2019.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0003-F368-6 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-F36A-4
Genre: Journal Article

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 Creators:
Beirle, Steffen1, Author              
Dörner, Steffen1, Author              
Donner, Sebastian1, Author              
Remmers, Julia1, Author              
Wang, Yang1, Author              
Wagner, Thomas1, Author              
Affiliations:
1Satellite Remote Sensing, Max Planck Institute for Chemistry, Max Planck Society, ou_1826293              

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 Abstract: The Mainz profile algorithm MAPA derives vertical profiles of aerosol extinction and trace gas concentrations from MAX-DOAS measurements of slant column densities under multiple elevation angles. This manuscript presents (a) a detailed description of the MAPA algorithm v0.98, including the flagging scheme for the identification of questionable or dubious results, (b) results for the CINDI-2 campaign, and (c) sensitivity studies on the impact of a-priori assumptions such as flag thresholds. MAPA is based on a profile parameterization combining box profiles, which also might be lifted, and exponential profiles. The profile parameters yielding best match to the MAX-DOAS observations are derived by a Monte Carlo approach, making MAPA much faster than previous parameter-based inversion schemes, and directly providing distributions of profile parameters. The AODs derived with MAPA for the CINDI-2 campaign show good agreement to AERONET if a scaling factor of 0.8 is applied for O4, and the respective NO2 and HCHO surface mixing ratios match those derived from coincident long-path DOAS measurements. MAPA results are robust to modifications of the a-priori MAPA settings within plausible limits.

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Language(s): eng - English
 Dates: 2019
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.5194/amt-12-1785-2019
 Degree: -

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Title: Atmospheric Measurement Techniques
  Abbreviation : AMT
Source Genre: Journal
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Publ. Info: Göttingen : European Geosciences Union, Copernicus
Pages: - Volume / Issue: 12 (3) Sequence Number: - Start / End Page: 1785 - 1806 Identifier: ISSN: 1867-1381
CoNE: https://pure.mpg.de/cone/journals/resource/1867-1381