24 citations as recorded by crossref.

1. Artificial intelligence‐driven insights: Precision tracking of power plant carbon emissions using satellite data Z. Zhang et al. 10.1049/enc2.12129
2. TROPOMI unravels transboundary transport pathways of atmospheric carbon monoxide in Tibetan Plateau P. Lin et al. 10.1016/j.scitotenv.2024.175942
3. CO2 and CO temporal variability over Mexico City from ground-based total column and surface measurements N. Taquet et al. 10.5194/acp-24-11823-2024
4. Comparison of TROPOMI NO2, CO, HCHO, and SO2 data against ground‐level measurements in close proximity to large anthropogenic emission sources in the example of Ukraine M. Savenets et al. 10.1002/met.2108
5. Validation of methane and carbon monoxide from Sentinel-5 Precursor using TCCON and NDACC-IRWG stations M. Sha et al. 10.5194/amt-14-6249-2021
6. Quantification of carbon monoxide emissions from African cities using TROPOMI G. Leguijt et al. 10.5194/acp-23-8899-2023
7. Global Scale Inversions from MOPITT CO and MODIS AOD B. Gaubert et al. 10.3390/rs15194813
8. Methane Emissions from Superemitting Coal Mines in Australia Quantified Using TROPOMI Satellite Observations P. Sadavarte et al. 10.1021/acs.est.1c03976
9. Mobile mini-DOAS measurements of the outflow of nitrogen dioxide from the Toluca Valley Metropolitan Area, Mexico C. Rivera-Cárdenas et al. 10.56845/rebs.v6i1.88
10. Spatial and Temporal Variation of NO2 Vertical Column Densities (VCDs) over Poland: Comparison of the Sentinel-5P TROPOMI Observations and the GEM-AQ Model Simulations M. Kawka et al. 10.3390/atmos12070896
11. Global spatiotemporal completion of daily high-resolution TCCO from TROPOMI over land using a swath-based local ensemble learning method Y. Wang et al. 10.1016/j.isprsjprs.2022.10.012
12. Satellite Observations Reveal a Large CO Emission Discrepancy From Industrial Point Sources Over China Y. Tian et al. 10.1029/2021GL097312
13. TROPOMI tropospheric ozone column data: geophysical assessment and comparison to ozonesondes, GOME-2B and OMI D. Hubert et al. 10.5194/amt-14-7405-2021
14. Remotely visible impacts on air quality after a year-round full-scale Russian invasion of Ukraine M. Savenets et al. 10.1016/j.apr.2023.101912
15. Random Forest Classifier for Cloud Clearing of the Operational TROPOMI XCH4 Product T. Borsdorff et al. 10.3390/rs16071208
16. Plume detection and emission estimate for biomass burning plumes from TROPOMI carbon monoxide observations using APE v1.1 M. Goudar et al. 10.5194/gmd-16-4835-2023
17. Investigating the Performance of Carbon Monoxide and Methane Observations from Sentinel-5 Precursor in China Y. Tian et al. 10.3390/rs14236045
18. An assessment of emission characteristics of Northern Hemisphere cities using spaceborne observations of CO2, CO, and NO2 H. Park et al. 10.1016/j.rse.2020.112246
19. Impact of the COVID-19 Lockdown on Air Quality and Resulting Public Health Benefits in the Mexico City Metropolitan Area I. Hernández-Paniagua et al. 10.3389/fpubh.2021.642630
20. Vertical information of CO from TROPOMI total column measurements in context of the CAMS-IFS data assimilation scheme T. Borsdorff et al. 10.5194/amt-16-3027-2023
21. Carbon Monoxide in Optically Thick Wildfire Smoke: Evaluating TROPOMI Using CU Airborne SOF Column Observations J. Rowe et al. 10.1021/acsearthspacechem.2c00048
22. CHANGES IN ATMOSPHERIC AIR POLLUTION AND FUEL COMBUSTION EFFICIENCY IN UKRAINIAN CITIES DUE TO MILITARY ACTIONS L. Nadtochii et al. 10.15407/Meteorology2023.04.004
23. Air quality impacts of COVID-19 lockdown measures detected from space using high spatial resolution observations of multiple trace gases from Sentinel-5P/TROPOMI P. Levelt et al. 10.5194/acp-22-10319-2022
24. Improving the quantification of fine particulates (PM2.5) concentrations in Malaysia using simplified and computationally efficient models N. Zaman et al. 10.1016/j.jclepro.2024.141559