34 citations as recorded by crossref.

1. Advanced satellite-based model for precise measurement of point source CO 2 emission Y. Huang et al. https://doi.org/10.1080/10095020.2025.2550497
2. 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
3. Spatial and Temporal Variations of Thermal Contrast in the Planetary Boundary Layer T. Di Gioacchino et al. https://doi.org/10.34133/remotesensing.0142
4. Monitoring Persistent Methane Emissions from the Secunda CTL Synthetic Fuel Plant Using Satellite Observations H. Virta et al. https://doi.org/10.1021/acs.estlett.5c01140
5. Avoiding methane emission rate underestimates when using the divergence method C. Roberts et al. https://doi.org/10.1088/1748-9326/ad0252
6. Evaluating the spatial patterns of U.S. urban NOx emissions using TROPOMI NO2 D. Goldberg et al. https://doi.org/10.1016/j.rse.2023.113917
7. Analyzing nitrogen dioxide to nitrogen oxide scaling factors for data-driven satellite-based emission estimation methods: A case study of Matimba/Medupi power stations in South Africa J. Hakkarainen et al. https://doi.org/10.1016/j.apr.2024.102171
8. Space-based assessment of NOx emissions from global oil and gas fields: Bridging the gap in current emission inventories P. Patel et al. https://doi.org/10.1016/j.rse.2025.115229
9. Monitoring European anthropogenic NOx emissions from space R. van der A et al. https://doi.org/10.5194/acp-24-7523-2024
10. Mapping $$\text {NO}_{\text {x}}$$ emissions in Cyprus using TROPOMI observations: evaluation of the flux-divergence scheme using multiple parameter sets A. Rey-Pommier et al. https://doi.org/10.1007/s11356-024-35851-w
11. A global catalogue of CO2 emissions and co-emitted species from power plants, including high-resolution vertical and temporal profiles M. Guevara et al. https://doi.org/10.5194/essd-16-337-2024
12. Trends and drivers of anthropogenic NO emissions in China since 2020 H. Li et al. https://doi.org/10.1016/j.ese.2024.100425
13. Detecting nitrogen oxide emissions in Qatar and quantifying emission factors of gas-fired power plants – a 4-year study A. Rey-Pommier et al. https://doi.org/10.5194/acp-23-13565-2023
14. 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
15. On the Theory of the Divergence Method for Quantifying Source Emissions From Satellite Observations E. Koene et al. https://doi.org/10.1029/2023JD039904
16. A detailed comparison of the Dutch emission inventory with satellite-derived NOx emissions H. Witt et al. https://doi.org/10.5194/acp-26-5237-2026
17. Current potential of CH4 emission estimates using TROPOMI in the Middle East M. Liu et al. https://doi.org/10.5194/amt-17-5261-2024
18. Quantifying NOx Emission Sources in Houston, Texas Using Remote Sensing Aircraft Measurements and Source Apportionment Regression Models D. Goldberg et al. https://doi.org/10.1021/acsestair.4c00097
19. Monitoring fossil fuel CO2 emissions from co-emitted NO2 observed from space: progress, challenges, and future perspectives H. Li et al. https://doi.org/10.1007/s11783-025-1922-x
20. 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
21. Identification of NO emissions and source characteristics by TROPOMI observations – A case study in north-central Henan, China H. Sheng et al. https://doi.org/10.1016/j.scitotenv.2024.172779
22. Recent advances in zeolites for the selective catalytic reduction of NO x with NH 3 C. Duan et al. https://doi.org/10.1080/01614940.2024.2445061
23. New submodel for emissions from Explosive Volcanic ERuptions (EVER v1.1) within the Modular Earth Submodel System (MESSy, version 2.55.1) M. Kohl et al. https://doi.org/10.5194/gmd-18-3985-2025
24. Benchmarking data-driven inversion methods for the estimation of local CO2 emissions from synthetic satellite images of XCO2 and NO2 D. Santaren et al. https://doi.org/10.5194/amt-18-211-2025
25. 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
26. High-resolution mapping of nitrogen oxide emissions in large US cities from TROPOMI retrievals of tropospheric nitrogen dioxide columns F. Liu et al. https://doi.org/10.5194/acp-24-3717-2024
27. Extreme wildfires over Northern Greece during Summer 2023 – Part B. Adverse effects on regional air quality M. Koukouli et al. https://doi.org/10.1016/j.atmosres.2025.108034
28. 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
29. Photostationary state assumption seriously underestimates NO x emissions near large point sources at 10 to 60 m pixel resolution L. Chen et al. https://doi.org/10.1073/pnas.2423915122
30. Global gridded NOx emissions using TROPOMI observations A. Rey-Pommier et al. https://doi.org/10.5194/essd-17-3329-2025
31. Quantifying NOxpoint sources with Landsat and Sentinel-2 satellite observations of NO2plumes D. Varon et al. https://doi.org/10.1073/pnas.2317077121
32. Reply to Chen et al.: Coarse simulations overestimate the distance to recover NO–NO 2 –O 3 photochemical steady state in fresh NO x plumes D. Varon et al. https://doi.org/10.1073/pnas.2425976122
33. Diurnal NO emission underestimation constrained using overlapping TROPOMI swaths Q. He et al. https://doi.org/10.1016/j.atmosenv.2025.121354
34. Emissions to the atmosphere by power plants in Baja California Sur, Mexico C. Rivera-Cárdenas et al. https://doi.org/10.56845/rebs.v6i1.87