Articles | Volume 24, issue 14
https://doi.org/10.5194/acp-24-8243-2024
© 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-24-8243-2024
© 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 Jul 2024
Research article |
| 22 Jul 2024
| 22 Jul 2024
Evaluating NOx stack plume emissions using a high-resolution atmospheric chemistry model and satellite-derived NO2 columns
Meteorology and Air Quality, Wageningen University & Research, Wageningen, the Netherlands
Institute for Marine and Atmospheric Research Utrecht (IMAU), Utrecht University, Utrecht, the Netherlands
Bart van Stratum
Meteorology and Air Quality, Wageningen University & Research, Wageningen, the Netherlands
Isidora Anglou
Meteorology and Air Quality, Wageningen University & Research, Wageningen, the Netherlands
Satellite Observations, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Klaas Folkert Boersma
Meteorology and Air Quality, Wageningen University & Research, Wageningen, the Netherlands
Satellite Observations, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
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Cited
16 citations as recorded by crossref.
- Dynamic assessment of NO2 plume rise and pollution contributions from steel industry point sources in an energy-intensive region of China C. Gao et al. https://doi.org/10.1016/j.apr.2026.102921
- High‐Resolution Modeling to Quantify CO2 Emissions From an Industrial Point Source Z. Xiao et al. https://doi.org/10.1029/2025JD045978
- Linear integrated mass enhancement: A method for estimating hotspot emission rates from space-based plume observations J. Hakkarainen et al. https://doi.org/10.1016/j.rse.2025.114623
- SO2 emissions derived from TROPOMI observations over India using a flux-divergence method with variable lifetimes Y. Chen et al. https://doi.org/10.5194/acp-25-1851-2025
- Effects of topographic variables on traffic-related pollutant concentrations: comparison of AERMOD and CAL3QHCR models K. Demirarslan https://doi.org/10.3389/fenvs.2025.1577330
- Super-resolution localization and quantification of SO2 emissions over India using TROPOMI observations Y. Chen et al. https://doi.org/10.5194/amt-19-2737-2026
- TANGO CO2 and NO2 observations: synergistic usage to improve emission quantification and characterize atmospheric chemistry T. Borsdorff et al. https://doi.org/10.5194/amt-19-4617-2026
- Temporal variability of NOx emissions from power plants: a comparison of satellite- and inventory-based estimates G. Kuhlmann et al. https://doi.org/10.5194/acp-26-4405-2026
- Bayesian denoising of satellite images using co-registered NO2 images E. Koene et al. https://doi.org/10.5194/amt-19-3999-2026
- Accurate space-based NOx emission estimates with the flux divergence approach require fine-scale model information on local oxidation chemistry and profile shapes F. Cifuentes et al. https://doi.org/10.5194/gmd-18-621-2025
- Deriving regional and point source nitrogen oxides emissions in China from TROPOMI using the directional derivative approach with nonlinear chemical lifetime fitting L. Chen et al. https://doi.org/10.5194/essd-18-2749-2026
- High-resolution observations of NO2 and CO2 emission plumes from EnMAP satellite measurements C. Borger et al. https://doi.org/10.1088/1748-9326/adc0b1
- Satellite data-driven estimates of NO x and co-emitted CO2 from coal-fired power plants in China (2021–2024) L. Chen et al. https://doi.org/10.1088/1748-9326/ae84e9
- An improved Bayesian inversion to estimate daily NOx emissions of Paris from TROPOMI NO2 observations between 2018–2023 A. Mols et al. https://doi.org/10.5194/acp-26-1497-2026
- Monitoring of total and off-road NOx emissions from Canadian oil sands surface mining using the Ozone Monitoring Instrument C. McLinden et al. https://doi.org/10.5194/acp-25-6093-2025
- High-resolution mapping of urban NO2 concentrations using Retina v2: a case study on data assimilation of surface and satellite observations in Madrid B. Mijling et al. https://doi.org/10.5194/gmd-18-6439-2025
16 citations as recorded by crossref.
- Dynamic assessment of NO2 plume rise and pollution contributions from steel industry point sources in an energy-intensive region of China C. Gao et al. https://doi.org/10.1016/j.apr.2026.102921
- High‐Resolution Modeling to Quantify CO2 Emissions From an Industrial Point Source Z. Xiao et al. https://doi.org/10.1029/2025JD045978
- Linear integrated mass enhancement: A method for estimating hotspot emission rates from space-based plume observations J. Hakkarainen et al. https://doi.org/10.1016/j.rse.2025.114623
- SO2 emissions derived from TROPOMI observations over India using a flux-divergence method with variable lifetimes Y. Chen et al. https://doi.org/10.5194/acp-25-1851-2025
- Effects of topographic variables on traffic-related pollutant concentrations: comparison of AERMOD and CAL3QHCR models K. Demirarslan https://doi.org/10.3389/fenvs.2025.1577330
- Super-resolution localization and quantification of SO2 emissions over India using TROPOMI observations Y. Chen et al. https://doi.org/10.5194/amt-19-2737-2026
- TANGO CO2 and NO2 observations: synergistic usage to improve emission quantification and characterize atmospheric chemistry T. Borsdorff et al. https://doi.org/10.5194/amt-19-4617-2026
- Temporal variability of NOx emissions from power plants: a comparison of satellite- and inventory-based estimates G. Kuhlmann et al. https://doi.org/10.5194/acp-26-4405-2026
- Bayesian denoising of satellite images using co-registered NO2 images E. Koene et al. https://doi.org/10.5194/amt-19-3999-2026
- Accurate space-based NOx emission estimates with the flux divergence approach require fine-scale model information on local oxidation chemistry and profile shapes F. Cifuentes et al. https://doi.org/10.5194/gmd-18-621-2025
- Deriving regional and point source nitrogen oxides emissions in China from TROPOMI using the directional derivative approach with nonlinear chemical lifetime fitting L. Chen et al. https://doi.org/10.5194/essd-18-2749-2026
- High-resolution observations of NO2 and CO2 emission plumes from EnMAP satellite measurements C. Borger et al. https://doi.org/10.1088/1748-9326/adc0b1
- Satellite data-driven estimates of NO x and co-emitted CO2 from coal-fired power plants in China (2021–2024) L. Chen et al. https://doi.org/10.1088/1748-9326/ae84e9
- An improved Bayesian inversion to estimate daily NOx emissions of Paris from TROPOMI NO2 observations between 2018–2023 A. Mols et al. https://doi.org/10.5194/acp-26-1497-2026
- Monitoring of total and off-road NOx emissions from Canadian oil sands surface mining using the Ozone Monitoring Instrument C. McLinden et al. https://doi.org/10.5194/acp-25-6093-2025
- High-resolution mapping of urban NO2 concentrations using Retina v2: a case study on data assimilation of surface and satellite observations in Madrid B. Mijling et al. https://doi.org/10.5194/gmd-18-6439-2025
Saved (final revised paper)
Latest update: 02 Aug 2026
Short summary
This paper presents detailed plume simulations of nitrogen oxides and carbon dioxide that are emitted from four large industrial facilities world-wide. Results from the high-resolution simulations that include atmospheric chemistry are compared to nitrogen dioxide observations from satellites. We find good performance of the model and show that common assumptions that are used in simplified models need revision. This work is important for the monitoring of emissions using satellite data.
This paper presents detailed plume simulations of nitrogen oxides and carbon dioxide that are...
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