Articles | Volume 24, issue 1
https://doi.org/10.5194/acp-24-449-2024
© 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-24-449-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Jan 2024
Research article |
| 11 Jan 2024
| 11 Jan 2024
Weekly derived top-down volatile-organic-compound fluxes over Europe from TROPOMI HCHO data from 2018 to 2021
Glenn-Michael Oomen
CORRESPONDING AUTHOR
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Jean-François Müller
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Trissevgeni Stavrakou
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Isabelle De Smedt
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Thomas Blumenstock
Karlsruhe Institute of Technology (KIT), IMK-ASF, Karlsruhe, Germany
Rigel Kivi
Finnish Meteorological Institute (FMI), Sodankylä, Finland
Maria Makarova
Atmospheric Physics Department, Saint Petersburg State University, St. Petersburg, Russia
Mathias Palm
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Amelie Röhling
Karlsruhe Institute of Technology (KIT), IMK-ASF, Karlsruhe, Germany
LERMA-IPSL, Sorbonne Université, CNRS, Observatoire de Paris, PSL Université, 75005 Paris, France
Corinne Vigouroux
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Martina M. Friedrich
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Udo Frieß
Institute of Environmental Physics, Heidelberg University, Heidelberg, Germany
François Hendrick
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Alexis Merlaud
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Ankie Piters
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Andreas Richter
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Michel Van Roozendael
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Thomas Wagner
Max Planck Institute for Chemistry (MPI-C), Mainz, Germany
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Cited
18 citations as recorded by crossref.
- Hyperspectral Vertical Remote Sensing Bridges the Satellite-to-Surface Gap: Unraveling Height-Resolved Evolution Mechanisms of Atmospheric Formaldehyde in China B. Chang et al. https://doi.org/10.1021/acs.est.6c02601
- 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
- NMVOC emission optimization in China through assimilating formaldehyde retrievals from multiple satellite products C. Xu et al. https://doi.org/10.5194/acp-26-33-2026
- 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
- Evaluating CHASER V4.0 global formaldehyde (HCHO) simulations using satellite, aircraft, and ground-based remote-sensing observations H. Hoque et al. https://doi.org/10.5194/gmd-17-5545-2024
- 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
- Monitoring and Comparative Analysis of NO2 and HCHO in Shanghai Using Dual-Azimuth Scanning MAX-DOAS and TROPOMI H. Ren et al. https://doi.org/10.3390/rs17030355
- 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
- Two biogenic volatile organic compound emission datasets over Europe based on land surface modelling and satellite data assimilation P. Hamer et al. https://doi.org/10.5194/essd-18-3635-2026
- Modelling of atmospheric variability in gas and aerosols during the ACROSS campaign 2022 of the greater Paris area: evaluation of the meteorology, dynamics and chemistry L. Di Antonio et al. https://doi.org/10.5194/acp-25-4803-2025
- Fiducial Reference Measurements for Air Quality Monitoring Using Ground-Based MAX-DOAS Instruments (FRM4DOAS) M. Van Roozendael et al. https://doi.org/10.3390/rs16234523
- Unveiling the spatial and temporal effects of urban vegetation coverage on atmospheric formaldehyde pollution in Chinese megacities over recent decades Y. Gao et al. https://doi.org/10.1016/j.envpol.2025.127243
- Global analysis of nitrogen dioxide and formaldehyde column densities from the Pandora global network: Variability and implications for satellite validation J. Park et al. https://doi.org/10.1016/j.rse.2026.115249
- 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
- Towards Sustainable Hydrocarbon Extraction: A Study of Atmospheric Pollutant Dynamics (CO, CH4, SO2, HCHO) via Remote Sensing and Meteorological Data V. Fernández Maldonado et al. https://doi.org/10.3390/su17188443
- 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
- 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
- Spatially resolved analysis of speciated VOC emissions and their contributions to secondary pollutant formation: a comparative assessment of anthropogenic and biogenic sources in China Y. Wang et al. https://doi.org/10.1016/j.envint.2025.109627
18 citations as recorded by crossref.
- Hyperspectral Vertical Remote Sensing Bridges the Satellite-to-Surface Gap: Unraveling Height-Resolved Evolution Mechanisms of Atmospheric Formaldehyde in China B. Chang et al. https://doi.org/10.1021/acs.est.6c02601
- 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
- NMVOC emission optimization in China through assimilating formaldehyde retrievals from multiple satellite products C. Xu et al. https://doi.org/10.5194/acp-26-33-2026
- 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
- Evaluating CHASER V4.0 global formaldehyde (HCHO) simulations using satellite, aircraft, and ground-based remote-sensing observations H. Hoque et al. https://doi.org/10.5194/gmd-17-5545-2024
- 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
- Monitoring and Comparative Analysis of NO2 and HCHO in Shanghai Using Dual-Azimuth Scanning MAX-DOAS and TROPOMI H. Ren et al. https://doi.org/10.3390/rs17030355
- 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
- Two biogenic volatile organic compound emission datasets over Europe based on land surface modelling and satellite data assimilation P. Hamer et al. https://doi.org/10.5194/essd-18-3635-2026
- Modelling of atmospheric variability in gas and aerosols during the ACROSS campaign 2022 of the greater Paris area: evaluation of the meteorology, dynamics and chemistry L. Di Antonio et al. https://doi.org/10.5194/acp-25-4803-2025
- Fiducial Reference Measurements for Air Quality Monitoring Using Ground-Based MAX-DOAS Instruments (FRM4DOAS) M. Van Roozendael et al. https://doi.org/10.3390/rs16234523
- Unveiling the spatial and temporal effects of urban vegetation coverage on atmospheric formaldehyde pollution in Chinese megacities over recent decades Y. Gao et al. https://doi.org/10.1016/j.envpol.2025.127243
- Global analysis of nitrogen dioxide and formaldehyde column densities from the Pandora global network: Variability and implications for satellite validation J. Park et al. https://doi.org/10.1016/j.rse.2026.115249
- 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
- Towards Sustainable Hydrocarbon Extraction: A Study of Atmospheric Pollutant Dynamics (CO, CH4, SO2, HCHO) via Remote Sensing and Meteorological Data V. Fernández Maldonado et al. https://doi.org/10.3390/su17188443
- 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
- 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
- Spatially resolved analysis of speciated VOC emissions and their contributions to secondary pollutant formation: a comparative assessment of anthropogenic and biogenic sources in China Y. Wang et al. https://doi.org/10.1016/j.envint.2025.109627
Saved (final revised paper)
Latest update: 19 Jul 2026
Short summary
Natural emissions from vegetation have a profound impact on air quality for their role in the formation of harmful tropospheric ozone and organic aerosols, yet these emissions are highly uncertain. In this study, we quantify emissions of organic gases over Europe using high-quality satellite measurements of formaldehyde. These satellite observations suggest that emissions from vegetation are much higher than predicted by models, especially in southern Europe.
Natural emissions from vegetation have a profound impact on air quality for their role in the...
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