160 citations as recorded by crossref.

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7. Spatiotemporal inhomogeneity of total column NO2 in a polluted urban area inferred from TROPOMI and Pandora intercomparisons J. Park et al. 10.1080/15481603.2022.2026640
8. High-resolution mapping of urban air quality with heterogeneous observations: a new methodology and its application to Amsterdam B. Mijling 10.5194/amt-13-4601-2020
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14. An Alternative Approach for Deriving Emission Inventories Solely From Satellite Data: Demonstration for NO2 Over China K. Kourtidis & A. Georgoulias 10.3389/fenvs.2019.00138
15. Sensitivity of estimated NO2-attributable pediatric asthma incidence to grid resolution and urbanicity A. Mohegh et al. 10.1088/1748-9326/abce25
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19. Assessment of Tropospheric Concentrations of NO2 from the TROPOMI/Sentinel-5 Precursor for the Estimation of Long-Term Exposure to Surface NO2 over South Korea U. Jeong & H. Hong 10.3390/rs13101877
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21. Ozone chemistry and dynamics at a tropical coastal site impacted by the COVID-19 lockdown I. Girach et al. 10.1007/s12040-021-01666-3
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25. A new method for inferring city emissions and lifetimes of nitrogen oxides from high-resolution nitrogen dioxide observations: a model study F. Liu et al. 10.5194/acp-22-1333-2022
26. Sensitivity of Ozone Production to NOx and VOC Along the Lake Michigan Coastline M. Vermeuel et al. 10.1029/2019JD030842
27. Development of a Reactive Plume Model for the Consideration of Power-Plant Plume Photochemistry and Its Applications Y. Kim et al. 10.1021/acs.est.6b03919
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30. Estimation of OH in urban plumes using TROPOMI-inferred NO2 ∕ CO S. Lama et al. 10.5194/acp-22-16053-2022
31. Evaluation of the Potential of Sentinel-5P TROPOMI and AIS Marine Traffic Data for the Monitoring of Anthropogenic Activity and Maritime Transport NOx-Emissions in Canary Islands Waters M. Rodriguez Valido et al. 10.3390/su15054632
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33. Quantifying urban, industrial, and background changes in NO<sub>2</sub> during the COVID-19 lockdown period based on TROPOMI satellite observations V. Fioletov et al. 10.5194/acp-22-4201-2022
34. An Estimation of Top-Down NOx Emissions from OMI Sensor Over East Asia K. Han et al. 10.3390/rs12122004
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36. Formaldehyde evolution in US wildfire plumes during the Fire Influence on Regional to Global Environments and Air Quality experiment (FIREX-AQ) J. Liao et al. 10.5194/acp-21-18319-2021
37. Estimating Hourly Nitrogen Oxide Emissions over East Asia from Geostationary Satellite Measurements T. Xu et al. 10.1021/acs.estlett.3c00467
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41. Disparities in ambient nitrogen dioxide pollution in the United States Y. Wang et al. 10.1073/pnas.2208450120
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43. Quantifying daily NOx and CO2 emissions from Wuhan using satellite observations from TROPOMI and OCO-2 Q. Zhang et al. 10.5194/acp-23-551-2023
44. Impacts of anthropogenic emissions and meteorology on spring ozone differences in San Antonio, Texas between 2017 and 2021 X. Liu et al. 10.1016/j.scitotenv.2023.169693
45. Net ozone production and its relationship to nitrogen oxides and volatile organic compounds in the marine boundary layer around the Arabian Peninsula I. Tadic et al. 10.5194/acp-20-6769-2020
46. A satellite-data-driven framework to rapidly quantify air-basin-scale NO<sub><i>x</i></sub> emissions and its application to the Po Valley during the COVID-19 pandemic K. Sun et al. 10.5194/acp-21-13311-2021
47. Evaluation of the nitrogen oxide emission inventory with TROPOMI observations Y. Chen et al. 10.1016/j.atmosenv.2023.119639
48. Variational regional inverse modeling of reactive species emissions with PYVAR-CHIMERE-v2019 A. Fortems-Cheiney et al. 10.5194/gmd-14-2939-2021
49. High-resolution (0.05°  ×  0.05°) NOx emissions in the Yangtze River Delta inferred from OMI H. Kong et al. 10.5194/acp-19-12835-2019
50. Nitrogen Oxide (NOx) emissions as an indicator for sustainability S. Shaw & B. Van Heyst 10.1016/j.indic.2022.100188
51. Composition and chemical processing of volatile organic compounds in boundary layer polluted plumes: Insights from an airborne Q-PTR-MS on-board the French ATR-42 aircraft P. Dominutti et al. 10.1016/j.scitotenv.2024.173311
52. Global, regional and city scale changes in atmospheric NO₂ with environmental laws and policies S. Amritha et al. 10.1016/j.scs.2024.105617
53. Identification of NO emissions and source characteristics by TROPOMI observations – A case study in north-central Henan, China H. Sheng et al. 10.1016/j.scitotenv.2024.172779
54. High-resolution airborne imaging DOAS measurements of NO<sub>2</sub> above Bucharest during AROMAT A. Meier et al. 10.5194/amt-10-1831-2017
55. Sensitivity of PM2.5 to NOx emissions and meteorology in North China based on observations B. Jia et al. 10.1016/j.scitotenv.2020.142275
56. Quantification of CO emissions from the city of Madrid using MOPITT satellite retrievals and WRF simulations I. Dekker et al. 10.5194/acp-17-14675-2017
57. Top-Down NOX Emissions of European Cities Based on the Downwind Plume of Modelled and Space-Borne Tropospheric NO2 Columns W. Verstraeten et al. 10.3390/s18092893
58. Rethinking the role of transport and photochemistry in regional ozone pollution: insights from ozone concentration and mass budgets K. Qu et al. 10.5194/acp-23-7653-2023
59. Peculiar COVID-19 effects in the Greater Tokyo Area revealed by spatiotemporal variabilities of tropospheric gases and light-absorbing aerosols A. Damiani et al. 10.5194/acp-22-12705-2022
60. Methyl, Ethyl, and Propyl Nitrates: Global Distribution and Impacts on Reactive Nitrogen in Remote Marine Environments J. Fisher et al. 10.1029/2018JD029046
61. Cross-Regional Highway Built through a City Centre as an Example of the Sustainable Development of Urban Transport M. Żak & A. Mainka 10.3390/su122410403
62. A review of Space-Air-Ground integrated remote sensing techniques for atmospheric monitoring B. Zhou et al. 10.1016/j.jes.2021.12.008
63. Advancing shipping NOx pollution estimation through a satellite-based approach Z. Luo et al. 10.1093/pnasnexus/pgad430
64. Development of a high-resolution integrated emission inventory of air pollutants for China N. Wu et al. 10.5194/essd-16-2893-2024
65. Underestimation of column NO<sub>2</sub> amounts from the OMI satellite compared to diurnally varying ground-based retrievals from multiple PANDORA spectrometer instruments J. Herman et al. 10.5194/amt-12-5593-2019
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69. Do environmental markets cause environmental injustice? Evidence from California’s carbon market D. Hernandez-Cortes & K. Meng 10.1016/j.jpubeco.2022.104786
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71. Emission or atmospheric processes? An attempt to attribute the source of large bias of aerosols in eastern China simulated by global climate models T. Fan et al. 10.5194/acp-18-1395-2018
72. The Ozone Monitoring Instrument: overview of 14 years in space P. Levelt et al. 10.5194/acp-18-5699-2018
73. Evaluation of the first year of Pandora NO2 measurements over Beijing and application to satellite validation O. Liu et al. 10.5194/amt-17-377-2024
74. Tracking air quality trends and vehicle traffic dynamics at urban scale using satellite and ground data before and after the COVID-19 outbreak D. De Santis et al. 10.1016/j.scitotenv.2023.165464
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76. A new method for estimating megacity NOx emissions and lifetimes from satellite observations S. Beirle & T. Wagner 10.5194/amt-17-3439-2024
77. Unveiling tropospheric ozone by the traditional atmospheric model and machine learning, and their comparison:A case study in hangzhou, China R. Feng et al. 10.1016/j.envpol.2019.05.101
78. Seasonal Variation of Chemical Compositions in PM1.0 in the Atmosphere of Seoul S. Kwon et al. 10.5572/KOSAE.2022.38.6.852
79. Air quality observations onboard commercial and targeted Zeppelin flights in Germany – a platform for high-resolution trace-gas and aerosol measurements within the planetary boundary layer R. Tillmann et al. 10.5194/amt-15-3827-2022
80. The impact of COVID-19 lockdowns on urban photochemistry as inferred from TROPOMI S. Lama et al. 10.1016/j.atmosenv.2023.120042
81. Comparison and evaluation of anthropogenic emissions of SO<sub>2</sub> and NO<sub><i>x</i></sub> over China M. Li et al. 10.5194/acp-18-3433-2018
82. What does success look like for air quality policy? A perspective P. Monks & M. Williams 10.1098/rsta.2019.0326
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85. Exploiting satellite measurements to explore uncertainties in UK bottom-up NO<sub><i>x</i></sub> emission estimates R. Pope et al. 10.5194/acp-22-4323-2022
86. Estimation of NO<sub><i>x</i></sub> and SO<sub>2</sub> emissions from Sarnia, Ontario, using a mobile MAX-DOAS (Multi-AXis Differential Optical Absorption Spectroscopy) and a NO<sub><i>x</i></sub> analyzer Z. Davis et al. 10.5194/acp-19-13871-2019
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