Article (Scientific journals)
Bias correction of OMI HCHO columns based on FTIR and aircraft measurements and impact on top-down emission estimates
Müller, Jean-François; Stavrakou, Trissevgeni; Oomen, Glenn-Michael et al.
2024In Atmospheric Chemistry and Physics, 24 (4), p. 2207-2237
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Keywords :
Atmospheric Science; formaldehyde; NMVOCs; atmospheric composition
Abstract :
[en] Abstract. Spaceborne formaldehyde (HCHO) measurements constitute an excellent proxy for the sources of non-methane volatile organic compounds (NMVOCs). Past studies suggested substantial overestimations of NMVOC emissions in state-of-the-art inventories over major source regions. Here, the QA4ECV (Quality Assurance for Essential Climate Variables) retrieval of HCHO columns from OMI (Ozone Monitoring Instrument) is evaluated against (1) FTIR (Fourier-transform infrared) column observations at 26 stations worldwide and (2) aircraft in situ HCHO concentration measurements from campaigns conducted over the USA during 2012–2013. Both validation exercises show that OMI underestimates high columns and overestimates low columns. The linear regression of OMI and aircraft-based columns gives ΩOMI=0.651Ωairc+2.95×1015 molec.cm-2, with ΩOMI and Ωairc the OMI and aircraft-derived vertical columns, whereas the regression of OMI and FTIR data gives ΩOMI=0.659ΩFTIR+2.02×1015 molec.cm-2. Inverse modelling of NMVOC emissions with a global model based on OMI columns corrected for biases based on those relationships leads to much-improved agreement against FTIR data and HCHO concentrations from 11 aircraft campaigns. The optimized global isoprene emissions (∼445Tgyr-1) are 25 % higher than those obtained without bias correction. The optimized isoprene emissions bear both striking similarities and differences with recently published emissions based on spaceborne isoprene columns from the CrIS (Cross-track Infrared Sounder) sensor. Although the interannual variability of OMI HCHO columns is well understood over regions where biogenic emissions are dominant, and the HCHO trends over China and India clearly reflect anthropogenic emission changes, the observed HCHO decline over the southeastern USA remains imperfectly elucidated.
Research Center/Unit :
SPHERES - ULiège
Disciplines :
Earth sciences & physical geography
Author, co-author :
Müller, Jean-François
Stavrakou, Trissevgeni
Oomen, Glenn-Michael 
Opacka, Beata
De Smedt, Isabelle 
Guenther, Alex 
Vigouroux, Corinne
Langerock, Bavo
Aquino, Carlos Augusto Bauer
Grutter, Michel 
Hannigan, James 
Hase, Frank
Kivi, Rigel 
Lutsch, Erik 
Mahieu, Emmanuel  ;  Université de Liège - ULiège > Département d'astrophysique, géophysique et océanographie (AGO) > Groupe infra-rouge de physique atmosphérique et solaire (GIRPAS)
Makarova, Maria 
Metzger, Jean-Marc
Morino, Isamu 
Murata, Isao
Nagahama, Tomoo 
Notholt, Justus
Ortega, Ivan 
Palm, Mathias
Röhling, Amelie 
Stremme, Wolfgang 
Strong, Kimberly 
Sussmann, Ralf 
Té, Yao 
Fried, Alan
More authors (19 more) Less
Language :
English
Title :
Bias correction of OMI HCHO columns based on FTIR and aircraft measurements and impact on top-down emission estimates
Publication date :
22 February 2024
Journal title :
Atmospheric Chemistry and Physics
ISSN :
1680-7316
eISSN :
1680-7324
Publisher :
Copernicus GmbH
Volume :
24
Issue :
4
Pages :
2207-2237
Peer reviewed :
Peer Reviewed verified by ORBi
European Projects :
H2020 - 101004318 - SEEDS - Sentinel EO-Based Emission and Deposition Service
Funders :
BELSPO - Belgian Federal Science Policy Office
EU - European Union
ESA - European Space Agency
F.R.S.-FNRS - Fonds de la Recherche Scientifique
Funding text :
This research has been supported by the EQUATOR project of the BRAIN-be 2.0 program from the Belgian Science Policy Office (Belspo) (grant no. B2/202/01/EQUATOR), by the SEEDS project funded by the European Commission under the H2020 program (grant no. 101004318), by the ProDEx- 12 project TROVA-E2 of the European Space Agency (grant no. 4000130630) and by the BMBF (German Ministry of Research and Education) in the project ROMIC-II, subproject TroStra (grant no. 01LG1904A).
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since 27 February 2024

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