Preprints
https://doi.org/10.5194/amt-2021-201
https://doi.org/10.5194/amt-2021-201

  31 Aug 2021

31 Aug 2021

Review status: this preprint is currently under review for the journal AMT.

Retrieval of tropospheric aerosol, NO2 and HCHO vertical profiles from MAX-DOAS observations over Thessaloniki, Greece

Dimitris Karagkiozidis1, Martina Michaela Friedrich2, Steffen Beirle3, Alkiviadis Bais1, François Hendrick2, Kalliopi Artemis Voudouri1, Ilias Fountoulakis4,1, Angelos Karanikolas5,6, Paraskevi Tzoumaka7, Michel Van Roozendael2, Dimitris Balis1, and Thomas Wagner3 Dimitris Karagkiozidis et al.
  • 1Laboratory of Atmospheric Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece
  • 2Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
  • 3Max Planck Institute for Chemistry, Mainz, Germany
  • 4Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens (IAASARS/NOA), 15236 Athens, Greece
  • 5Physikalisch-Meteorologisches Observatorium Davos, World Radiation Center (PMOD/WRC), Dorfstrasse 33, 7260 Davos Dorf, Switzerland
  • 6ETH Zurich-Institute for Particle Physics and Astrophysics, Hönggerberg campus, Stefano-Franscini-Platz 5, 8093 Zurich, Switzerland
  • 7Municipality of Thessaloniki, Department of Environment, Thessaloniki, Greece

Abstract. In this study we focus on the retrieval of aerosol and trace gas vertical profiles from Multi-Axis Differential Optical Absorption Spectroscopy (MAX-DOAS) observations for the first time over Thessaloniki, Greece. We use two independent inversion algorithms for the profile retrievals: The Mexican MAX-DOAS Fit (MMF) and the Mainz Profile Algorithm (MAPA). The former is based on the Optimal Estimation Method (OEM), while the latter follows a parameterization approach. We evaluate the performance of MMF and MAPA and we validate their retrieved products with ancillary data measured by other co-located reference instruments. We find an excellent agreement between the tropospheric column densities of NO2 retrieved by MMF and MAPA (Slope = 1.009, Pearson's correlation coefficient R = 0.982) and a good correlation for the case of HCHO (R = 0.927). For aerosols, we find better agreement for the aerosol optical depths (AODs) in the visible (i.e., at 477 nm), compared to the UV (360 nm) and we show that the agreement strongly depends on the O4 scaling factor that is used in the analysis. The trace gas differential slant column densities (dSCDs), simulated by the forward models, are also in good agreement, except for HCHO, where larger scatter is observed due to the increased spectral noise of the measurements in the UV. The agreement for NO2 and HCHO surface concentrations is similar to the comparison of the integrated columns with slightly decreased correlation coefficients. The AODs retrieved by the MAX-DOAS are validated by comparing them with AOD values measured by a CIMEL sun-photometer and a Brewer spectrophotometer. Four different flagging schemes were applied to the data in order to evaluate their performance. Qualitatively, a generally good agreement is observed for both wavelengths, but we find a systematic bias from the CIMEL and Brewer measurements, due to the limited sensitivity of the MAX-DOAS in retrieving information at higher altitudes, especially in the UV. An in-depth validation of the aerosol vertical profiles retrieved by the MAX-DOAS is not possible since only in very few cases the true aerosol profile is known during the period of study. However, we examine four cases, where the MAX-DOAS provided a generally good estimation of the shape of the profiles retrieved by a co-located multi-wavelength lidar system. The NO2 surface concentrations are validated against in situ observations and the comparison of both MMF and MAPA revealed good agreement with correlation coefficients of R = 0.78 and R = 0.73, respectively. Finally, the effect of the O4 scaling factor is investigated by intercomparing the integrated columns retrieved by the two algorithms and also by comparing the AODs derived by MAPA for different values of the scaling factor with AODs measured by the CIMEL and the Brewer.

Dimitris Karagkiozidis et al.

Status: open (until 23 Oct 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Dimitris Karagkiozidis et al.

Dimitris Karagkiozidis et al.

Viewed

Total article views: 290 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
225 60 5 290 3 3
  • HTML: 225
  • PDF: 60
  • XML: 5
  • Total: 290
  • BibTeX: 3
  • EndNote: 3
Views and downloads (calculated since 31 Aug 2021)
Cumulative views and downloads (calculated since 31 Aug 2021)

Viewed (geographical distribution)

Total article views: 291 (including HTML, PDF, and XML) Thereof 291 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 17 Sep 2021
Download
Short summary
In this study we focus on the retrieval of aerosol, NO2 and HCHO vertical profiles from multi-axis differential optical absorption spectroscopy (MAX-DOAS) observations for the first time over Thessaloniki, Greece. We use two independent inversion algorithms for the profile retrievals. We evaluate their performance, we intercompare their results and we validate their products with ancillary data, measured by other co-located reference instruments.