Articles | Volume 24, issue 4
https://doi.org/10.5194/acp-24-2207-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-24-2207-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Feb 2024
Research article |
| 22 Feb 2024
| 22 Feb 2024
Bias correction of OMI HCHO columns based on FTIR and aircraft measurements and impact on top-down emission estimates
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Trissevgeni Stavrakou
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Glenn-Michael Oomen
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Beata Opacka
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Isabelle De Smedt
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Alex Guenther
Department of Earth System Science, University of California Irvine, Irvine, CA, USA
Corinne Vigouroux
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
Michel Grutter
Instituto de Ciencias de la Atmósfera y Cambio Climático, Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico
James Hannigan
Atmospheric Chemistry, Observations & Modeling, National Center for Atmospheric Research (NCAR), Boulder, CO, USA
Frank Hase
Karlsruhe Institute of Technology (KIT), Institute for Meteorology and Climate Research (IMK-ASF), Karlsruhe, Germany
Rigel Kivi
Finnish Meteorological Institute (FMI), Sodankylä, Finland
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
Earth System Division, 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
Amelie Röhling
Karlsruhe Institute of Technology (KIT), Institute for Meteorology and Climate Research (IMK-ASF), Karlsruhe, Germany
Wolfgang Stremme
Instituto de Ciencias de la Atmósfera y Cambio Climático, Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico
Kimberly Strong
Department of Physics, University of Toronto, Toronto, Canada
Ralf Sussmann
Regional Climate Systems Department, Karlsruhe Institute of Technology, IMK-IFU, Garmisch-Partenkirchen, Germany
LERMA-IPSL, Sorbonne Université, CNRS, Observatoire de Paris, PSL Université, 75005 Paris, France
Alan Fried
Institute of Arctic and Alpine Research, University of Colorado, Boulder, CO, USA
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Cited
19 citations as recorded by crossref.
- Role of chemical production and depositional losses on formaldehyde in the Community Regional Atmospheric Chemistry Multiphase Mechanism (CRACMM) T. Skipper et al. https://doi.org/10.5194/acp-24-12903-2024
- Global atmospheric methanol emissions inferred from IASI satellite measurements and aircraft data J. Müller et al. https://doi.org/10.5194/acp-26-5375-2026
- Multi-scale correlation reveals the evolution of socio-natural contributions to tropospheric HCHO over China from 2005 to 2022 H. Xia et al. https://doi.org/10.1016/j.scitotenv.2024.176197
- Isoprene Emissions, Oxidation Chemistry and Environmental Impacts M. Khan et al. https://doi.org/10.3390/atmos16030259
- Modeling on the drought stress impact on the summertime biogenic isoprene emissions in South Korea Y. Jeong et al. https://doi.org/10.5194/acp-25-15507-2025
- Global VOC emissions quantified from inversion of TROPOMI spaceborne formaldehyde and glyoxal data Y. Sfendla et al. https://doi.org/10.5194/acp-26-733-2026
- Improved modelling of biogenic emissions in human-disturbed forest edges and urban areas Y. Zhang et al. https://doi.org/10.1038/s41467-025-63437-8
- Decadal trend and driving factors of atmospheric photochemical pollution as indicated by newly-formed O3 in a highly-polluted region of China S. Chen et al. https://doi.org/10.1016/j.jes.2025.12.052
- Intercomparison of MAX-DOAS, FTIR and direct sun HCHO vertical columns at Xianghe, China G. Pinardi et al. https://doi.org/10.5194/amt-19-1259-2026
- Learn from Simulations, Adapt to Observations: Super-Resolution of Isoprene Emissions via Unpaired Domain Adaptation A. Giganti et al. https://doi.org/10.3390/rs16213963
- Overview: The Network for the Detection of Atmospheric Composition Change at 35 years: achievements and future strategy I. Petropavlovskikh et al. https://doi.org/10.5194/acp-26-8637-2026
- Enhanced validation and application of satellite-derived formaldehyde data for assessing photochemical pollution in the Chinese Greater Bay Area Y. Zhao et al. https://doi.org/10.1016/j.envpol.2024.125553
- The temporal evolution of HCHO and changes in atmospheric composition in the southeast of the United Kingdom B. Chauhan et al. https://doi.org/10.1016/j.cscee.2024.101092
- Improved determination of atmospheric trace gas emissions through observation-based analysis techniques: The AMIGO global initiative G. Oomen et al. https://doi.org/10.1525/elementa.2025.00092
- Biosphere–atmosphere related processes influence trace-gas and aerosol satellite–model biases E. Sands et al. https://doi.org/10.5194/acp-25-7269-2025
- Seasonal isoprene emission estimates over tropical South America inferred from satellite observations of isoprene S. Sun et al. https://doi.org/10.5194/acp-25-15801-2025
- Contrasting Biogenic Isoprene Emission Responses to La Niña and El Niño Driven by Temperature: Insights from HCHO-Based Global Inversion H. Li et al. https://doi.org/10.1021/acs.est.5c12927
- Natural emissions of VOC and NOx over Africa constrained by TROPOMI HCHO and NO2 data using the MAGRITTEv1.1 model B. Opacka et al. https://doi.org/10.5194/acp-25-2863-2025
- Global biogenic isoprene emissions 2013–2020 inferred from satellite isoprene observations H. Li et al. https://doi.org/10.5194/essd-17-7035-2025
19 citations as recorded by crossref.
- Role of chemical production and depositional losses on formaldehyde in the Community Regional Atmospheric Chemistry Multiphase Mechanism (CRACMM) T. Skipper et al. https://doi.org/10.5194/acp-24-12903-2024
- Global atmospheric methanol emissions inferred from IASI satellite measurements and aircraft data J. Müller et al. https://doi.org/10.5194/acp-26-5375-2026
- Multi-scale correlation reveals the evolution of socio-natural contributions to tropospheric HCHO over China from 2005 to 2022 H. Xia et al. https://doi.org/10.1016/j.scitotenv.2024.176197
- Isoprene Emissions, Oxidation Chemistry and Environmental Impacts M. Khan et al. https://doi.org/10.3390/atmos16030259
- Modeling on the drought stress impact on the summertime biogenic isoprene emissions in South Korea Y. Jeong et al. https://doi.org/10.5194/acp-25-15507-2025
- Global VOC emissions quantified from inversion of TROPOMI spaceborne formaldehyde and glyoxal data Y. Sfendla et al. https://doi.org/10.5194/acp-26-733-2026
- Improved modelling of biogenic emissions in human-disturbed forest edges and urban areas Y. Zhang et al. https://doi.org/10.1038/s41467-025-63437-8
- Decadal trend and driving factors of atmospheric photochemical pollution as indicated by newly-formed O3 in a highly-polluted region of China S. Chen et al. https://doi.org/10.1016/j.jes.2025.12.052
- Intercomparison of MAX-DOAS, FTIR and direct sun HCHO vertical columns at Xianghe, China G. Pinardi et al. https://doi.org/10.5194/amt-19-1259-2026
- Learn from Simulations, Adapt to Observations: Super-Resolution of Isoprene Emissions via Unpaired Domain Adaptation A. Giganti et al. https://doi.org/10.3390/rs16213963
- Overview: The Network for the Detection of Atmospheric Composition Change at 35 years: achievements and future strategy I. Petropavlovskikh et al. https://doi.org/10.5194/acp-26-8637-2026
- Enhanced validation and application of satellite-derived formaldehyde data for assessing photochemical pollution in the Chinese Greater Bay Area Y. Zhao et al. https://doi.org/10.1016/j.envpol.2024.125553
- The temporal evolution of HCHO and changes in atmospheric composition in the southeast of the United Kingdom B. Chauhan et al. https://doi.org/10.1016/j.cscee.2024.101092
- Improved determination of atmospheric trace gas emissions through observation-based analysis techniques: The AMIGO global initiative G. Oomen et al. https://doi.org/10.1525/elementa.2025.00092
- Biosphere–atmosphere related processes influence trace-gas and aerosol satellite–model biases E. Sands et al. https://doi.org/10.5194/acp-25-7269-2025
- Seasonal isoprene emission estimates over tropical South America inferred from satellite observations of isoprene S. Sun et al. https://doi.org/10.5194/acp-25-15801-2025
- Contrasting Biogenic Isoprene Emission Responses to La Niña and El Niño Driven by Temperature: Insights from HCHO-Based Global Inversion H. Li et al. https://doi.org/10.1021/acs.est.5c12927
- Natural emissions of VOC and NOx over Africa constrained by TROPOMI HCHO and NO2 data using the MAGRITTEv1.1 model B. Opacka et al. https://doi.org/10.5194/acp-25-2863-2025
- Global biogenic isoprene emissions 2013–2020 inferred from satellite isoprene observations H. Li et al. https://doi.org/10.5194/essd-17-7035-2025
Saved (final revised paper)
Latest update: 26 Jul 2026
Short summary
Formaldehyde observations from satellites can be used to constrain the emissions of volatile organic compounds, but those observations have biases. Using an atmospheric model, aircraft and ground-based remote sensing data, we quantify these biases, propose a correction to the data, and assess the consequence of this correction for the evaluation of emissions.
Formaldehyde observations from satellites can be used to constrain the emissions of volatile...
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