Intercomparison of MAX-DOAS vertical profile retrieval algorithms: studies using synthetic data

<p><strong>Abstract.</strong> Multi-axis differential optical absorption spectroscopy (MAX-DOAS) is a widely used measurement technique for the detection of a variety of atmospheric trace gases. Using inverse modelling, the observation of trace gas column densities along different...

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Hauptverfasser: Frieß, Udo (VerfasserIn) , Beirle, Steffen (VerfasserIn) , Alvarado Bonilla, Leonardo (VerfasserIn) , Bösch, Tim (VerfasserIn) , Friedrich, Martina M. (VerfasserIn) , Hendrick, François (VerfasserIn) , Piters, Ankie (VerfasserIn) , Richter, Andreas (VerfasserIn) , Roozendael, Michel van (VerfasserIn) , Rozanov, Vladimir V. (VerfasserIn) , Spinei, Elena (VerfasserIn) , Tirpitz, Jan-Lukas (VerfasserIn) , Vlemmix, Tim (VerfasserIn) , Wagner, Thomas (VerfasserIn) , Wang, Yang (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 10 Apr 2019
In: Atmospheric measurement techniques
Year: 2019, Jahrgang: 12, Heft: 4, Pages: 2155-2181
ISSN:1867-8548
DOI:10.5194/amt-12-2155-2019
Online-Zugang:Verlag, Volltext: https://doi.org/10.5194/amt-12-2155-2019
Verlag, Volltext: https://www.atmos-meas-tech.net/12/2155/2019/amt-12-2155-2019-discussion.html
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Verfasserangaben:Udo Frieß, Steffen Beirle, Leonardo Alvarado Bonilla, Tim Bösch, Martina M. Friedrich, François Hendrick, Ankie Piters, Andreas Richter, Michel van Roozendael, Vladimir V. Rozanov, Elena Spinei, Jan-Lukas Tirpitz, Tim Vlemmix, Thomas Wagner, and Yang Wang
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Zusammenfassung:<p><strong>Abstract.</strong> Multi-axis differential optical absorption spectroscopy (MAX-DOAS) is a widely used measurement technique for the detection of a variety of atmospheric trace gases. Using inverse modelling, the observation of trace gas column densities along different lines of sight 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. Five of the algorithms are based on the optimal estimation method, two on parametrised approaches, and one using an analytical approach without involving any radiative transfer modelling. The synthetic measurements consist of the median of simulated slant column densities of <span class="inline-formula">O<sub>4</sub></span> at 360 and 477&thinsp;<span class="inline-formula">nm</span>, as well as of HCHO at 343&thinsp;<span class="inline-formula">nm</span> and <span class="inline-formula">NO<sub>2</sub></span> at 477&thinsp;<span class="inline-formula">nm</span>, from seven datasets simulated by five different radiative transfer models. Simulations are performed for a combination of 10 trace gas and 11 aerosol profiles, as well as 11 elevation angles, three solar zenith, and three relative azimuth angles. Overall, the results from the different algorithms show moderate to good performance for the retrieval of vertical profiles, surface concentrations, and total columns. Except for some outliers, the root-mean-square difference between the true and retrieved state ranges between (0.05-0.1)&thinsp;km<span class="inline-formula"><sup>−1</sup></span> for aerosol extinction and (2.5-5.0)&thinsp;<span class="inline-formula">×10<sup>10</sup></span>&thinsp;molec&thinsp;cm<span class="inline-formula"><sup>−3</sup></span> for HCHO and <span class="inline-formula">NO<sub>2</sub></span> concentrations.</p>
Beschreibung:Gesehen am 21.08.2019
Beschreibung:Online Resource
ISSN:1867-8548
DOI:10.5194/amt-12-2155-2019