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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 Mar 2020

30 Mar 2020

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A revised version of this preprint is currently under review for the journal AMT.

Validation of tropospheric NO2 column measurements of GOME-2A and OMI using MAX-DOAS and direct sun network observations

Gaia Pinardi1, Michel Van Roozendael1, François Hendrick1, Nicolas Theys1, Nader Abuhassan2,17, Alkiviadis Bais3, Folkert Boersma4,18, Alexander Cede2,15, Jihyo Chong5, Sebastian Donner7, Theano Drosoglou3, Udo Frieß8, José Granville1, Jay R. Herman2,17, Henk Eskes4, Robert Holla9, Jari Hovila10, Hitoshi Irie11, Yugo Kanaya3, Dimitris Karagkiozidis3, Natalia Kouremeti3,19, Jean-Christopher Lambert1, Jianzhong Ma12, Enno Peters6, Ankie Piters10, Oleg Postylyakov13, Andreas Richter6, Julia Remmers7, Hisahiro Takashima14,20, Martin Tiefengraber15,21, Pieter Valks16, Tim Vlemmix4, Thomas Wagner7, and Folkard Wittrock6 Gaia Pinardi et al.
  • 1Royal Belgian Institute for Space Aeronomy, BIRA-IASB, Brussels, Belgium
  • 2NASA/Goddard Space Flight Center, GSFC, Greenbelt, MD, USA
  • 3AUTH, Aristotle University of Thessaloniki, Thessaloniki, Greece
  • 4RoyalNetherlands Meteorological Institute, KNMI, De Bilt, the Netherlands
  • 5Gwangju Institute of Science and Technology GIST, Gwangju , Korea
  • 6Institut für Umweltphysik, Universität Bremen, Bremen, Germany
  • 7Max Planck Institute for Chemistry, Mainz, Germany
  • 8Institut für Umweltphysik, Universität Heidelberg, Heidelberg, Germany
  • 9German Weather Service, DWD, Hohenpeissenberg, Germany
  • 10Finnish Meteorological Institute, FMI, Helsinki, Finland
  • 11Center for Environmental Remote Sensing, Chiba University,Chiba, Japan
  • 12Chinese Academy of Meteorological Sciences, Beijing, China
  • 13A.M.Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences, IAP/RAS, Moscow, Russia
  • 14Research Institute for Global Change, JAMSTEC, Yokohama, Japan
  • 15LuftBlick, Innsbruck, Austria
  • 16Deutsches Zentrum für Luft-und Raumfahrt (DLR), Institut für Methodik der Fernerkundung (IMF), Oberpfaffenhofen, Germany
  • 17University of Maryland, Joint Center for Earth Systems Technology, Baltimore, MD, USA
  • 18Wageningen University, Wageningen, the Netherlands
  • 19Physikalisch-MeteorologischesObservatorium Davos, World Radiation Center (PMOD/WRC), Davos Dorf, Switzerland
  • 20Faculty of Science,Fukuoka University, Fukuoka, Japan
  • 21Department of Atmospheric and Cryospheric Sciences, University of Innsbruck, Innsbruck, Austria

Abstract. MAX-DOAS and direct sun NO2 vertical column network data are used to investigate the accuracy of tropospheric NO2 column measurements of the GOME-2 instrument on the MetOP-A satellite platform and the OMI instrument on Aura. The study is based on 23 MAX-DOAS and 16 direct sun instruments at stations distributed worldwide. A method to quantify and correct for horizontal dilution effects in heterogeneous NO2 field conditions is proposed. After systematic application of this correction to urban sites, satellite measurements are found to present smaller biases compared to ground-based reference data in almost all cases. We investigate the seasonal dependence of the validation results, as well as the impact of using different approaches to select satellite ground pixels in coincidence with ground-based data. In optimal comparison conditions (satellite pixels containing the station) the median bias between satellite tropospheric NO2 column measurements and the ensemble of MAX-DOAS and direct sun measurements is found to be significant and equal to −36 % for GOME-2A and −20 % for OMI. These biases are further reduced to −24 % and −8 % respectively, after application of the dilution correction. Comparisons with the QA4ECV satellite product for both GOME-2A and OMI is also performed, showing less scatter but also a slightly larger median tropospheric NO2 column bias with respect to the ensemble of MAX-DOAS and direct sun measurements.

Gaia Pinardi et al.

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Gaia Pinardi et al.

Gaia Pinardi et al.


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Publications Copernicus
Short summary
We validate several GOME-2 and OMI tropospheric NO2 products with 23 MAX-DOAS and 16 direct sun instruments distributed worldwide. We highlight large horizontal inhomogeneities at several sites affecting the validation results and we propose a method to quantify and correct for it. We show that the application of such correction reduces the satellite underestimation in almost all heterogeneous cases, but a negative bias remains over the MAX-DOAS + direct sun network ensemble for both satellites.
We validate several GOME-2 and OMI tropospheric NO2 products with 23 MAX-DOAS and 16 direct sun...