Articles | Volume 13, issue 7
https://doi.org/10.5194/amt-13-3751-2020
© 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-13-3751-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Jul 2020
Research article |
| 10 Jul 2020
TROPOMI–Sentinel-5 Precursor formaldehyde validation using an extensive network of ground-based Fourier-transform infrared stations
Corinne Vigouroux
CORRESPONDING AUTHOR
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Bavo Langerock
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Carlos Augusto Bauer Aquino
Instituto Federal de Educaçao, Ciência e Tecnologia de Rondônia (IFRO), Porto Velho, Brazil
Thomas Blumenstock
Karlsruhe Institute of Technology (KIT), Institute for Meteorology and Climate Research (IMK-ASF), Karlsruhe, Germany
Zhibin Cheng
German Aerospace Centre (DLR), Remote Sensing Technology Institute, Oberpfaffenhofen, 82234 Weßling, Germany
Martine De Mazière
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Isabelle De Smedt
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Michel Grutter
Centro de Ciencias de la Atmósfera, Universidad Nacional Autónoma de México (UNAM), Mexico City, México
James W. Hannigan
Atmospheric Chemistry, Observations & Modeling, National Center for Atmospheric Research (NCAR), Boulder, CO, USA
Nicholas Jones
Centre for Atmospheric Chemistry, University of Wollongong, Wollongong, Australia
Rigel Kivi
Finnish Meteorological Institute (FMI), Sodankylä, Finland
Diego Loyola
German Aerospace Centre (DLR), Remote Sensing Technology Institute, Oberpfaffenhofen, 82234 Weßling, Germany
Erik Lutsch
Department of Physics, University of Toronto, Toronto, Canada
Emmanuel Mahieu
Institut d'Astrophysique et de Géophysique, Université de Liège, Liège, Belgium
Maria Makarova
Saint Petersburg State University, Atmospheric Physics Department, St. Petersburg, Russia
Jean-Marc Metzger
Observatoire des Sciences de l’Univers Réunion (OSU-R), UMS 3365, Université de la Réunion,
Saint-Denis, France
Isamu Morino
National Institute for Environmental Studies (NIES), Tsukuba, Ibaraki 305-8506, Japan
Isao Murata
Graduate School of Environment Studies, Tohoku University, Sendai 980-8578, Japan
Tomoo Nagahama
Institute for Space-Earth Environmental Research (ISEE), Nagoya University, Nagoya, Japan
Justus Notholt
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Ivan Ortega
Atmospheric Chemistry, Observations & Modeling, National Center for Atmospheric Research (NCAR), Boulder, CO, USA
Mathias Palm
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Gaia Pinardi
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Amelie Röhling
Karlsruhe Institute of Technology (KIT), Institute for Meteorology and Climate Research (IMK-ASF), Karlsruhe, Germany
Dan Smale
National Institute of Water and Atmospheric Research Ltd (NIWA), Lauder, New Zealand
Wolfgang Stremme
Centro de Ciencias de la Atmósfera, Universidad Nacional Autónoma de México (UNAM), Mexico City, México
Kim Strong
Department of Physics, University of Toronto, Toronto, Canada
Ralf Sussmann
Karlsruhe Institute of Technology, IMK-IFU, Garmisch-Partenkirchen, Germany
LERMA-IPSL, Sorbonne Université, CNRS, Observatoire de Paris, PSL Université, 75005 Paris, France
Michel van Roozendael
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Pucai Wang
Institute of Atmospheric Physics, Chinese Academy of Sciences (CAS), Beijing, China
Holger Winkler
Institute of Environmental Physics, University of Bremen, Bremen, Germany
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- First Chinese ultraviolet–visible hyperspectral satellite instrument implicating global air quality during the COVID-19 pandemic in early 2020 C. Liu et al. 10.1038/s41377-022-00722-x
- Glyoxal tropospheric column retrievals from TROPOMI – multi-satellite intercomparison and ground-based validation C. Lerot et al. 10.5194/amt-14-7775-2021
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21 citations as recorded by crossref.
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- An improved TROPOMI tropospheric HCHO retrieval over China W. Su et al. 10.5194/amt-13-6271-2020
- Global Significant Changes in Formaldehyde (HCHO) Columns Observed From Space at the Early Stage of the COVID‐19 Pandemic W. Sun et al. 10.1029/2020GL091265
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- MAX-DOAS observation in the midlatitude marine boundary layer: Influences of typhoon forced air mass R. Zhang et al. 10.1016/j.jes.2021.12.010
- Next‐Generation Isoprene Measurements From Space: Detecting Daily Variability at High Resolution K. Wells et al. 10.1029/2021JD036181
- Characterization and potential for reducing optical resonances in Fourier transform infrared spectrometers of the Network for the Detection of Atmospheric Composition Change (NDACC) T. Blumenstock et al. 10.5194/amt-14-1239-2021
- First retrievals of peroxyacetyl nitrate (PAN) from ground-based FTIR solar spectra recorded at remote sites, comparison with model and satellite data E. Mahieu et al. 10.1525/elementa.2021.00027
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- Intercomparison of CO measurements from TROPOMI, ACE-FTS, and a high-Arctic ground-based Fourier transform spectrometer T. Wizenberg et al. 10.5194/amt-14-7707-2021
- First Chinese ultraviolet–visible hyperspectral satellite instrument implicating global air quality during the COVID-19 pandemic in early 2020 C. Liu et al. 10.1038/s41377-022-00722-x
- Glyoxal tropospheric column retrievals from TROPOMI – multi-satellite intercomparison and ground-based validation C. Lerot et al. 10.5194/amt-14-7775-2021
- Kilometer-level glyoxal retrieval via satellite for anthropogenic volatile organic compound emission source and secondary organic aerosol formation identification Y. Chen et al. 10.1016/j.rse.2021.112852
- Inferring vertical variability and diurnal evolution of O3 formation sensitivity based on the vertical distribution of summertime HCHO and NO2 in Guangzhou, China Q. Hong et al. 10.1016/j.scitotenv.2022.154045
- Comparison of formaldehyde tropospheric columns in Australia and New Zealand using MAX-DOAS, FTIR and TROPOMI R. Ryan et al. 10.5194/amt-13-6501-2020
- Recommendations for HCHO and SO2 Retrieval Settings from MAX-DOAS Observations under Different Meteorological Conditions Z. Javed et al. 10.3390/rs13122244
- Atmospheric Impacts of COVID-19 on NOx and VOC Levels over China Based on TROPOMI and IASI Satellite Data and Modeling T. Stavrakou et al. 10.3390/atmos12080946
- Modified Fourier transform and its properties D. Khan et al. 10.20948/mathmontis-2021-51-5
- Reduction in Anthropogenic Emissions Suppressed New Particle Formation and Growth: Insights From the COVID‐19 Lockdown V. Kanawade et al. 10.1029/2021JD035392
- OMI-observed HCHO in Shanghai, China, during 2010–2019 and ozone sensitivity inferred by an improved HCHO ∕ NO<sub>2</sub> ratio D. Li et al. 10.5194/acp-21-15447-2021
Latest update: 29 May 2023
Short summary
We validate the TROPOMI HCHO product with ground-based FTIR (Fourier-transform infrared) measurements from 25 stations. We find that TROPOMI overestimates HCHO under clean conditions, while it underestimates it at high HCHO levels. Both TROPOMI precision and accuracy reach the pre-launch requirements, and its precision can even be 2 times better. The observed TROPOMI seasonal variability is in agreement with the FTIR data. The TROPOMI random uncertainty and data filtering should be refined.
We validate the TROPOMI HCHO product with ground-based FTIR (Fourier-transform infrared)...
