Articles | Volume 26, issue 8
https://doi.org/10.5194/acp-26-5185-2026
https://doi.org/10.5194/acp-26-5185-2026
Research article
 | 
20 Apr 2026
Research article |  | 20 Apr 2026

Validation of TROPOMI and WRF-Chem NO2 across seasons using SWING+ and surface observations over Bucharest

Antoine Pasternak, Jean-François Müller, Catalina Poraicu, Alexis Merlaud, Frederik Tack, and Trissevgeni Stavrakou

Related authors

Global atmospheric methanol emissions inferred from IASI satellite measurements and aircraft data
Jean-Francois Müller, Trissevgeni Stavrakou, Bruno Franco, Lieven Clarisse, Crist Amelynck, Niels Schoon, Bert Verreyken, Beata Opacka, Corinne Vigouroux, Emmanuel Mahieu, Maria Makarova, and Kimberly Strong
EGUsphere, https://doi.org/10.5194/egusphere-2026-253,https://doi.org/10.5194/egusphere-2026-253, 2026
Short summary
Global VOC emissions quantified from inversion of TROPOMI spaceborne formaldehyde and glyoxal data
Yasmine Sfendla, Trissevgeni Stavrakou, Jean-François Müller, Glenn-Michael Oomen, Beata Opacka, Thomas Danckaert, Isabelle De Smedt, and Christophe Lerot
Atmos. Chem. Phys., 26, 733–767, https://doi.org/10.5194/acp-26-733-2026,https://doi.org/10.5194/acp-26-733-2026, 2026
Short summary
Technical Note: DACNO2 – A Multi-Constraint Deep Learning Framework for High-Resolution 3D NO2 Field Estimation
Wenfu Sun, Frederik Tack, Lieven Clarisse, and Michel Van Roozendael
EGUsphere, https://doi.org/10.5194/egusphere-2025-4259,https://doi.org/10.5194/egusphere-2025-4259, 2025
Short summary
Towards a low-resolution infrared sounder for monitoring atmospheric ammonia (NH3) at high spatial resolution
Lara Noppen, Lieven Clarisse, Frederik Tack, Thomas Ruhtz, Martin Van Damme, Michel Van Roozendael, Dirk Schuettemeyer, and Pierre Coheur
Atmos. Meas. Tech., 18, 4183–4205, https://doi.org/10.5194/amt-18-4183-2025,https://doi.org/10.5194/amt-18-4183-2025, 2025
Short summary
Constraining the budget of NOx and volatile organic compounds at a remote tropical island using multi-platform observations and WRF-Chem model simulations
Catalina Poraicu, Jean-François Müller, Trissevgeni Stavrakou, Crist Amelynck, Bert W. D. Verreyken, Niels Schoon, Corinne Vigouroux, Nicolas Kumps, Jérôme Brioude, Pierre Tulet, and Camille Mouchel-Vallon
Atmos. Chem. Phys., 25, 6903–6941, https://doi.org/10.5194/acp-25-6903-2025,https://doi.org/10.5194/acp-25-6903-2025, 2025
Short summary

Cited articles

Arakawa, A.: The Cumulus Parameterization Problem: Past, Present, and Future, J. Climate, 17, 2493–2525, https://doi.org/10.1175/1520-0442(2004)017%3C2493:RATCPP%3E2.0.CO;2, 2004. a
Boersma, K. F., Eskes, H. J., Veefkind, J. P., Brinksma, E. J., van der A, R. J., Sneep, M., van den Oord, G. H. J., Levelt, P. F., Stammes, P., Gleason, J. F., and Bucsela, E. J.: Near-real time retrieval of tropospheric NO2 from OMI, Atmos. Chem. Phys., 7, 2103–2118, https://doi.org/10.5194/acp-7-2103-2007, 2007. a
Boersma, K. F., Jacob, D. J., Trainic, M., Rudich, Y., DeSmedt, I., Dirksen, R., and Eskes, H. J.: Validation of urban NO2 concentrations and their diurnal and seasonal variations observed from the SCIAMACHY and OMI sensors using in situ surface measurements in Israeli cities, Atmos. Chem. Phys., 9, 3867–3879, https://doi.org/10.5194/acp-9-3867-2009, 2009. a
Boggs, P. T., Byrd, R. H., Rogers, J. E., and Schnabel, R. B.: User’s Reference Guide for ODRPACK Version 2.01: Software for Weighted Orthogonal Distance Regression, Tech. Rep. NISTIR 4834, Computing and Applied Mathematics Laboratory, Applied and Computational Mathematics Division, National Institute of Standards and Technology, Technology Administration, U.S. Department of Commerce, https://static.scipy.org/doc/external/odrpack_guide.pdf (last access: 15 April 2026), 1992. a
Bovensmann, H., Burrows, J. P., Buchwitz, M., Frerick, J., Noël, S., Rozanov, V. V., Chance, V., and Goede, A. P. H.: SCIAMACHY: Mission Objectives and Measurement Modes, J. Atmos. Sci., 56, 127–150, https://doi.org/10.1175/1520-0469(1999)056%3C0127:SMOAMM%3E2.0.CO;2, 1999. a
Download
Short summary
Nitrogen dioxide (NO₂) is a major air pollutant with strong spatial variability near urban sources. We use a regional chemical transport model to simulate NO₂ levels over Bucharest and compare the results with in situ, aircraft, and satellite measurements. We find that emissions of nitrogen oxides are likely underestimated and that the accuracy of the satellite instrument varies with pollution levels. Our results improve the interpretation of satellite data for air quality monitoring.
Share
Altmetrics
Final-revised paper
Preprint