Articles | Volume 13, issue 11
https://doi.org/10.5194/amt-13-6141-2020
© Author(s) 2020. 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-13-6141-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Validation of tropospheric NO2 column measurements of GOME-2A and OMI using MAX-DOAS and direct sun network observations
Royal Belgian Institute for Space Aeronomy, BIRA-IASB, Brussels, Belgium
Michel Van Roozendael
Royal Belgian Institute for Space Aeronomy, BIRA-IASB, Brussels, Belgium
François Hendrick
Royal Belgian Institute for Space Aeronomy, BIRA-IASB, Brussels, Belgium
Nicolas Theys
Royal Belgian Institute for Space Aeronomy, BIRA-IASB, Brussels, Belgium
Nader Abuhassan
NASA/Goddard Space Flight Center, GSFC, Greenbelt, MD, USA
University of Maryland, Joint Center for Earth Systems Technology, Baltimore, MD, USA
Alkiviadis Bais
Laboratory of Atmospheric Physics, Aristotle University of Thessaloniki, AUTH, Thessaloniki, Greece
Folkert Boersma
Royal Netherlands Meteorological Institute, KNMI, De Bilt, the Netherlands
Meteorology and Air Quality Group, Wageningen University, Wageningen, the Netherlands
Alexander Cede
NASA/Goddard Space Flight Center, GSFC, Greenbelt, MD, USA
LuftBlick, Innsbruck, Austria
Jihyo Chong
Gwangju Institute of Science and Technology GIST, Gwangju, South Korea
Sebastian Donner
Max Planck Institute for Chemistry, Mainz, Germany
Theano Drosoglou
Laboratory of Atmospheric Physics, Aristotle University of Thessaloniki, AUTH, Thessaloniki, Greece
Anatoly Dzhola
A.M. Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences, IAP/RAS, Moscow, Russia
Henk Eskes
Royal Netherlands Meteorological Institute, KNMI, De Bilt, the Netherlands
Udo Frieß
Institut für Umweltphysik, Universität Heidelberg, Heidelberg, Germany
José Granville
Royal Belgian Institute for Space Aeronomy, BIRA-IASB, Brussels, Belgium
Jay R. Herman
NASA/Goddard Space Flight Center, GSFC, Greenbelt, MD, USA
University of Maryland, Joint Center for Earth Systems Technology, Baltimore, MD, USA
Robert Holla
German Weather Service, DWD, Hohenpeissenberg, Germany
Jari Hovila
Finnish Meteorological Institute, FMI, Helsinki, Finland
Hitoshi Irie
Center for Environmental Remote Sensing, Chiba University, Chiba, Japan
Yugo Kanaya
Research Institute for Global Change, JAMSTEC, Yokohama, Japan
Dimitris Karagkiozidis
Laboratory of Atmospheric Physics, Aristotle University of Thessaloniki, AUTH, Thessaloniki, Greece
Natalia Kouremeti
Laboratory of Atmospheric Physics, Aristotle University of Thessaloniki, AUTH, Thessaloniki, Greece
Physikalisch-Meteorologisches Observatorium Davos, World Radiation Center (PMOD/WRC), Davos Dorf, Switzerland
Jean-Christopher Lambert
Royal Belgian Institute for Space Aeronomy, BIRA-IASB, Brussels, Belgium
Jianzhong Ma
Chinese Academy of Meteorological Sciences, Beijing, China
Enno Peters
Institut für Umweltphysik, Universität Bremen, Bremen, Germany
Ankie Piters
Royal Netherlands Meteorological Institute, KNMI, De Bilt, the Netherlands
Oleg Postylyakov
A.M. Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences, IAP/RAS, Moscow, Russia
Andreas Richter
Institut für Umweltphysik, Universität Bremen, Bremen, Germany
Julia Remmers
Max Planck Institute for Chemistry, Mainz, Germany
Hisahiro Takashima
Research Institute for Global Change, JAMSTEC, Yokohama, Japan
Faculty of Science, Fukuoka University, Fukuoka, Japan
Martin Tiefengraber
LuftBlick, Innsbruck, Austria
Department of Atmospheric and Cryospheric Sciences, University of Innsbruck, Innsbruck, Austria
Pieter Valks
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Methodik der Fernerkundung (IMF), Oberpfaffenhofen, Germany
Tim Vlemmix
Royal Netherlands Meteorological Institute, KNMI, De Bilt, the Netherlands
Thomas Wagner
Max Planck Institute for Chemistry, Mainz, Germany
Folkard Wittrock
Institut für Umweltphysik, Universität Bremen, Bremen, Germany
Viewed
Total article views: 4,866 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 30 Mar 2020)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 3,495 | 1,280 | 91 | 4,866 | 429 | 153 | 170 |
- HTML: 3,495
- PDF: 1,280
- XML: 91
- Total: 4,866
- Supplement: 429
- BibTeX: 153
- EndNote: 170
Total article views: 3,944 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 18 Nov 2020)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,997 | 874 | 73 | 3,944 | 231 | 118 | 141 |
- HTML: 2,997
- PDF: 874
- XML: 73
- Total: 3,944
- Supplement: 231
- BibTeX: 118
- EndNote: 141
Total article views: 922 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 30 Mar 2020)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 498 | 406 | 18 | 922 | 198 | 35 | 29 |
- HTML: 498
- PDF: 406
- XML: 18
- Total: 922
- Supplement: 198
- BibTeX: 35
- EndNote: 29
Viewed (geographical distribution)
Total article views: 4,866 (including HTML, PDF, and XML)
Thereof 4,443 with geography defined
and 423 with unknown origin.
Total article views: 3,944 (including HTML, PDF, and XML)
Thereof 3,597 with geography defined
and 347 with unknown origin.
Total article views: 922 (including HTML, PDF, and XML)
Thereof 846 with geography defined
and 76 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Latest update: 27 Nov 2025
Short summary
We validate several GOME-2 and OMI tropospheric NO2 products with 23 MAX-DOAS and 16 direct sun instruments distributed worldwide, highlighting large horizontal inhomogeneities at several sites affecting the validation results. We propose a method for quantification and correction. We show the application of such correction reduces the satellite underestimation in almost all heterogeneous cases, but a negative bias remains over the MAX-DOAS and 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...