Articles | Volume 14, issue 1
https://doi.org/10.5194/amt-14-1-2021
© 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-14-1-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Jan 2021
Research article |
| 04 Jan 2021
| 04 Jan 2021
Intercomparison of MAX-DOAS vertical profile retrieval algorithms: studies on field data from the CINDI-2 campaign
Jan-Lukas Tirpitz
CORRESPONDING AUTHOR
Institute of Environmental Physics, University of Heidelberg, Heidelberg, Germany
Udo Frieß
Institute of Environmental Physics, University of Heidelberg, Heidelberg, Germany
François Hendrick
Royal Belgian Institute for Space Aeronomy, Brussels, Belgium
Carlos Alberti
Meteorological Institute, Ludwig-Maximilians-Universität München, Munich, Germany
now at: Institute of Meteorology and Climate Research (IMK-ASF), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Marc Allaart
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Arnoud Apituley
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Alkis Bais
Laboratory of Atmospheric Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece
Steffen Beirle
Max Planck Institute for Chemistry, Mainz, Germany
Stijn Berkhout
National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
Kristof Bognar
Department of Physics, University of Toronto, Toronto, Canada
Tim Bösch
Institute for Environmental Physics, University of Bremen, Bremen, Germany
Ilya Bruchkouski
National Ozone Monitoring Research and Education Center (NOMREC), Belarusian State University, Minsk, Belarus
Alexander Cede
LuftBlick Earth Observation Technologies, Mutters, Austria
NASA-Goddard Space Flight Center, Greenbelt, MD, USA
Ka Lok Chan
Meteorological Institute, Ludwig-Maximilians-Universität München, Munich, Germany
now at: Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Oberpfaffenhofen, Germany
Mirjam den Hoed
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Sebastian Donner
Max Planck Institute for Chemistry, Mainz, Germany
Theano Drosoglou
Laboratory of Atmospheric Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece
Caroline Fayt
Royal Belgian Institute for Space Aeronomy, Brussels, Belgium
Martina M. Friedrich
Royal Belgian Institute for Space Aeronomy, Brussels, Belgium
Arnoud Frumau
Netherlands Organisation for Applied Scientific Research (TNO), Utrecht, the Netherlands
Lou Gast
National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
Clio Gielen
Royal Belgian Institute for Space Aeronomy, Brussels, Belgium
now at: Institute for Astronomy, KU Leuven, Leuven, Belgium
Laura Gomez-Martín
National Institute of Aerospatial Technology (INTA), Madrid, Spain
Nan Hao
Remote Sensing Technology Institute, German Aerospace Center (DLR), Oberpfaffenhofen, Germany
Arjan Hensen
Netherlands Organisation for Applied Scientific Research (TNO), Utrecht, the Netherlands
Bas Henzing
Netherlands Organisation for Applied Scientific Research (TNO), Utrecht, the Netherlands
Christian Hermans
Royal Belgian Institute for Space Aeronomy, Brussels, Belgium
Junli Jin
Meteorological Observation Centre, China Meteorological Administration, Beijing, China
Karin Kreher
BK Scientific GmbH, Mainz, Germany
Jonas Kuhn
Institute of Environmental Physics, University of Heidelberg, Heidelberg, Germany
Max Planck Institute for Chemistry, Mainz, Germany
Johannes Lampel
Institute of Environmental Physics, University of Heidelberg, Heidelberg, Germany
Airyx GmbH, Justus-von-Liebig-Straße 14, Eppelheim, Germany
Ang Li
Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, China
Cheng Liu
School of Earth and Space Sciences, University of Science and Technology of China, Hefei, China
Haoran Liu
School of Earth and Space Sciences, University of Science and Technology of China, Hefei, China
Jianzhong Ma
Chinese Academy of Meteorology Science, China Meteorological Administration, Beijing, China
Alexis Merlaud
Royal Belgian Institute for Space Aeronomy, Brussels, Belgium
Enno Peters
Institute for Environmental Physics, University of Bremen, Bremen, Germany
now at: Institute for Protection of Maritime Infrastructures, Bremerhaven, Germany
Gaia Pinardi
Royal Belgian Institute for Space Aeronomy, Brussels, Belgium
Ankie Piters
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Ulrich Platt
Institute of Environmental Physics, University of Heidelberg, Heidelberg, Germany
Max Planck Institute for Chemistry, Mainz, Germany
Olga Puentedura
National Institute of Aerospatial Technology (INTA), Madrid, Spain
Andreas Richter
Institute for Environmental Physics, University of Bremen, Bremen, Germany
Stefan Schmitt
Institute of Environmental Physics, University of Heidelberg, Heidelberg, Germany
Elena Spinei
NASA-Goddard Space Flight Center, Greenbelt, MD, USA
now at: Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
Deborah Stein Zweers
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Kimberly Strong
Department of Physics, University of Toronto, Toronto, Canada
Daan Swart
National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
Frederik Tack
Royal Belgian Institute for Space Aeronomy, Brussels, Belgium
Martin Tiefengraber
LuftBlick Earth Observation Technologies, Mutters, Austria
Department of Atmospheric and Cryospheric Sciences, University of Innsbruck, Innsbruck, Austria
René van der Hoff
National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
Michel van Roozendael
Royal Belgian Institute for Space Aeronomy, Brussels, Belgium
Tim Vlemmix
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Jan Vonk
National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
Thomas Wagner
Max Planck Institute for Chemistry, Mainz, Germany
Yang Wang
Max Planck Institute for Chemistry, Mainz, Germany
Zhuoru Wang
Remote Sensing Technology Institute, German Aerospace Center (DLR), Oberpfaffenhofen, Germany
Mark Wenig
Meteorological Institute, Ludwig-Maximilians-Universität München, Munich, Germany
Matthias Wiegner
Meteorological Institute, Ludwig-Maximilians-Universität München, Munich, Germany
Folkard Wittrock
Institute for Environmental Physics, University of Bremen, Bremen, Germany
Pinhua Xie
Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, China
Chengzhi Xing
School of Earth and Space Sciences, University of Science and Technology of China, Hefei, China
Jin Xu
Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, China
Margarita Yela
National Institute of Aerospatial Technology (INTA), Madrid, Spain
Chengxin Zhang
School of Earth and Space Sciences, University of Science and Technology of China, Hefei, China
Xiaoyi Zhao
Department of Physics, University of Toronto, Toronto, Canada
now at: Air Quality Research Division, Environment and Climate Change Canada, Vancouver, Canada
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- Inter-comparison of MAX-DOAS measurements of tropospheric HONO slant column densities and vertical profiles during the CINDI-2 campaign Y. Wang et al. 10.5194/amt-13-5087-2020
- NO<sub>2</sub> vertical profiles and column densities from MAX-DOAS measurements in Mexico City M. Friedrich et al. 10.5194/amt-12-2545-2019
- Validation of tropospheric NO<sub>2</sub> column measurements of GOME-2A and OMI using MAX-DOAS and direct sun network observations G. Pinardi et al. 10.5194/amt-13-6141-2020
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Latest update: 19 Apr 2024
Short summary
Multi-axis differential optical absorption spectroscopy (MAX-DOAS) is a ground-based remote sensing measurement technique that derives atmospheric aerosol and trace gas vertical profiles from skylight spectra. In this study, consistency and reliability of MAX-DOAS profiles are assessed by applying nine different evaluation algorithms to spectral data recorded during an intercomparison campaign in the Netherlands and by comparing the results to colocated supporting observations.
Multi-axis differential optical absorption spectroscopy (MAX-DOAS) is a ground-based remote...
