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
Jean-François Müller
CORRESPONDING AUTHOR
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
2 citations as recorded by crossref.
- Multi-scale correlation reveals the evolution of socio-natural contributions to tropospheric HCHO over China from 2005 to 2022 H. Xia et al. 10.1016/j.scitotenv.2024.176197
- Learn from Simulations, Adapt to Observations: Super-Resolution of Isoprene Emissions via Unpaired Domain Adaptation A. Giganti et al. 10.3390/rs16213963
2 citations as recorded by crossref.
- Multi-scale correlation reveals the evolution of socio-natural contributions to tropospheric HCHO over China from 2005 to 2022 H. Xia et al. 10.1016/j.scitotenv.2024.176197
- Learn from Simulations, Adapt to Observations: Super-Resolution of Isoprene Emissions via Unpaired Domain Adaptation A. Giganti et al. 10.3390/rs16213963
Latest update: 23 Nov 2024
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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