Articles | Volume 14, issue 11
https://doi.org/10.5194/amt-14-7297-2021
© Author(s) 2021. 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-14-7297-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Nov 2021
Research article |
| 22 Nov 2021
An improved TROPOMI tropospheric NO2 research product over Europe
Song Liu
CORRESPONDING AUTHOR
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Methodik der Fernerkundung (IMF), Oberpfaffenhofen, Germany
now at: School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China
Pieter Valks
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Methodik der Fernerkundung (IMF), Oberpfaffenhofen, Germany
Gaia Pinardi
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Methodik der Fernerkundung (IMF), Oberpfaffenhofen, Germany
National Space Science Center, Chinese Academy of Sciences, Beijing, China
Ka Lok Chan
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Methodik der Fernerkundung (IMF), Oberpfaffenhofen, Germany
Athina Argyrouli
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Methodik der Fernerkundung (IMF), Oberpfaffenhofen, Germany
Technical University of Munich (TUM), Department of Civil, Geo and Environmental Engineering, Chair of Remote Sensing Technology, Munich, Germany
Ronny Lutz
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Methodik der Fernerkundung (IMF), Oberpfaffenhofen, Germany
Steffen Beirle
Max Planck Institute for Chemistry (MPI-C), Mainz, Germany
Ehsan Khorsandi
Deutsches Zentrum für Luft- und Raumfahrt (DLR), German Remote Sensing Data Center (DFD), Oberpfaffenhofen, Germany
Frank Baier
Deutsches Zentrum für Luft- und Raumfahrt (DLR), German Remote Sensing Data Center (DFD), Oberpfaffenhofen, Germany
Vincent Huijnen
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Alkiviadis Bais
Laboratory of Atmospheric Physics, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece
Sebastian Donner
Max Planck Institute for Chemistry (MPI-C), Mainz, Germany
Steffen Dörner
Max Planck Institute for Chemistry (MPI-C), Mainz, Germany
Myrto Gratsea
Institute for Environmental Research and Sustainable Development, National Observatory of Athens, Athens, Greece
François Hendrick
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Dimitris Karagkiozidis
Laboratory of Atmospheric Physics, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece
Kezia Lange
Institute of Environmental Physics (IUP-UB), University of Bremen, Bremen, Germany
Ankie J. M. Piters
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Julia Remmers
Max Planck Institute for Chemistry (MPI-C), Mainz, Germany
Andreas Richter
Institute of Environmental Physics (IUP-UB), University of Bremen, Bremen, Germany
Michel Roozendael
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Thomas Wagner
Max Planck Institute for Chemistry (MPI-C), Mainz, Germany
Mark Wenig
Meteorological Institute (MIM), Ludwig-Maximilians-Universität München (LMU), Munich, Germany
Diego G. Loyola
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Methodik der Fernerkundung (IMF), Oberpfaffenhofen, Germany
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Latest update: 28 Mar 2023
Short summary
In this work, an improved tropospheric NO2 retrieval algorithm from TROPOMI measurements over Europe is presented. The stratospheric estimation is implemented with correction for the dependency of the stratospheric NO2 on the viewing geometry. The AMF calculation is implemented using improved surface albedo, a priori NO2 profiles, and cloud correction. The improved tropospheric NO2 data show good correlations with ground-based MAX-DOAS measurements.
In this work, an improved tropospheric NO2 retrieval algorithm from TROPOMI measurements over...
