120 citations as recorded by crossref.

1. Air quality trends for the ports of Los Angeles and Long Beach spanning the covid19 crisis: Part 1. Oxidant pollutants I. Leifer et al. https://doi.org/10.1016/j.atmosenv.2023.119949
2. HCHO and NO2 profile characteristics under different synoptic patterns in Shanghai, China Y. Shi et al. https://doi.org/10.1016/j.jes.2025.01.028
3. Atmospheric Vinyl Alcohol to Acetaldehyde Tautomerization Revisited J. Peeters et al. https://doi.org/10.1021/acs.jpclett.5b01787
4. Machine-learning-assisted evaluation of heatwave impacts on surface ozone in China K. Zhang et al. https://doi.org/10.1016/j.icee.2026.100008
5. Role of Meteorological Parameters in the Diurnal and Seasonal Variation of NO2 in a Romanian Urban Environment M. Voiculescu et al. https://doi.org/10.3390/ijerph17176228
6. Model-free daily inversion of NOx emissions using TROPOMI (MCMFE-NOx) and its uncertainty: Declining regulated emissions and growth of new sources K. Qin et al. https://doi.org/10.1016/j.rse.2023.113720
7. New observations of NO2 in the upper troposphere from TROPOMI E. Marais et al. https://doi.org/10.5194/amt-14-2389-2021
8. An Observing System Simulation Experiment Analysis of How Well Geostationary Satellite Trace‐Gas Observations Constrain NOx Emissions in the US C. Hsu et al. https://doi.org/10.1029/2023JD039323
9. Observations of ozone vertical profiles and corresponding precursors in the low troposphere in Beijing, China X. Chi et al. https://doi.org/10.1016/j.atmosres.2018.06.012
10. Large contribution of biomass burning emissions to ozone throughout the global remote troposphere I. Bourgeois et al. https://doi.org/10.1073/pnas.2109628118
11. A nitrate photolysis source of tropospheric HONO is incompatible with current understanding of atmospheric chemistry M. Rowlinson et al. https://doi.org/10.5194/acp-25-16945-2025
12. Nine years of global hydrocarbon emissions based on source inversion of OMI formaldehyde observations M. Bauwens et al. https://doi.org/10.5194/acp-16-10133-2016
13. Enhanced representation of soil NO emissions in the Community Multiscale Air Quality (CMAQ) model version 5.0.2 Q. Rasool et al. https://doi.org/10.5194/gmd-9-3177-2016
14. Evaluation of modeling NO2 concentrations driven by satellite-derived and bottom-up emission inventories using in situ measurements over China F. Liu et al. https://doi.org/10.5194/acp-18-4171-2018
15. Photoreduction of Nitrate to HONO and NOx by Organic Matter in the Presence of Iron and Aluminum E. Melssen et al. https://doi.org/10.1021/acsearthspacechem.4c00252
16. Laboratory measurements of stomatal NO2 deposition to native California trees and the role of forests in the NOx cycle E. Delaria et al. https://doi.org/10.5194/acp-20-14023-2020
17. Air Pollution: Health Impact and Control R. Dubey & S. Dubey https://doi.org/10.52711/0974-4150.2024.00047
18. High-resolution (0.05°  ×  0.05°) NOx emissions in the Yangtze River Delta inferred from OMI H. Kong et al. https://doi.org/10.5194/acp-19-12835-2019
19. Laser-induced fluorescence-based detection of atmospheric nitrogen dioxide and comparison of different techniques during the PARADE 2011 field campaign U. Javed et al. https://doi.org/10.5194/amt-12-1461-2019
20. Spatial-temporal distribution and emission of urban scale air pollutants in Hefei based on Mobile-DOAS Z. Zhang et al. https://doi.org/10.1016/j.jes.2024.02.037
21. Variability of nitrogen oxide emission fluxes and lifetimes estimated from Sentinel-5P TROPOMI observations K. Lange et al. https://doi.org/10.5194/acp-22-2745-2022
22. Evaluation of a multi-model, multi-constituent assimilation framework for tropospheric chemical reanalysis K. Miyazaki et al. https://doi.org/10.5194/acp-20-931-2020
23. Satellite evidence for changes in the NO2 weekly cycle over large cities T. Stavrakou et al. https://doi.org/10.1038/s41598-020-66891-0
24. 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
25. Ozone and NOx chemistry in the eastern US: evaluation of CMAQ/CB05 with satellite (OMI) data T. Canty et al. https://doi.org/10.5194/acp-15-10965-2015
26. Improving machine-learned surface NO2 concentration mapping models with domain knowledge from data science perspective M. Hu et al. https://doi.org/10.1016/j.atmosenv.2024.120372
27. Validation of OMI, GOME-2A and GOME-2B tropospheric NO2, SO2 and HCHO products using MAX-DOAS observations from 2011 to 2014 in Wuxi, China: investigation of the effects of priori profiles and aerosols on the satellite products Y. Wang et al. https://doi.org/10.5194/acp-17-5007-2017
28. The impact of NOx emissions from lightning on the production of aviation-induced ozone A. Khodayari et al. https://doi.org/10.1016/j.atmosenv.2018.05.057
29. Tropospheric Ozone Assessment Report A. Archibald et al. https://doi.org/10.1525/elementa.2020.034
30. Satellite observations indicate substantial spatiotemporal variability in biomass burning NOx emission factors for South America P. Castellanos et al. https://doi.org/10.5194/acp-14-3929-2014
31. Glyoxal tropospheric column retrievals from TROPOMI – multi-satellite intercomparison and ground-based validation C. Lerot et al. https://doi.org/10.5194/amt-14-7775-2021
32. A meteorologically adjusted ensemble Kalman filter approach for inversing daily emissions: A case study in the Pearl River Delta, China G. Jia et al. https://doi.org/10.1016/j.jes.2021.08.048
33. Quantifying NOx emissions in Egypt using TROPOMI observations A. Rey-Pommier et al. https://doi.org/10.5194/acp-22-11505-2022
34. Retrievals of formaldehyde from ground-based FTIR and MAX-DOAS observations at the Jungfraujoch station and comparisons with GEOS-Chem and IMAGES model simulations B. Franco et al. https://doi.org/10.5194/amt-8-1733-2015
35. Chemistry and deposition in the Model of Atmospheric composition at Global and Regional scales using Inversion Techniques for Trace gas Emissions (MAGRITTE v1.1) – Part 1: Chemical mechanism J. Müller et al. https://doi.org/10.5194/gmd-12-2307-2019
36. Near-Surface NO2 Concentration Estimation by Random Forest Modeling and Sentinel-5P and Ancillary Data M. Li et al. https://doi.org/10.3390/rs14153612
37. Global gridded NOx emissions using TROPOMI observations A. Rey-Pommier et al. https://doi.org/10.5194/essd-17-3329-2025
38. Regional evaluation of the performance of the global CAMS chemical modeling system over the United States (IFS cycle 47r1) J. Williams et al. https://doi.org/10.5194/gmd-15-4657-2022
39. Sulfur dioxide vertical column DOAS retrievals from the Ozone Monitoring Instrument: Global observations and comparison to ground‐based and satellite data N. Theys et al. https://doi.org/10.1002/2014JD022657
40. Regional modeling of tropospheric NO2 vertical column density over East Asia during the period 2000–2010: comparison with multisatellite observations S. Itahashi et al. https://doi.org/10.5194/acp-14-3623-2014
41. Quantification of nitrogen oxides emissions from build-up of pollution over Paris with TROPOMI A. Lorente et al. https://doi.org/10.1038/s41598-019-56428-5
42. Global high-resolution emissions of soil NOx, sea salt aerosols, and biogenic volatile organic compounds H. Weng et al. https://doi.org/10.1038/s41597-020-0488-5
43. Identification of surface NO x emission sources on a regional scale using OMI NO 2 I. Zyrichidou et al. https://doi.org/10.1016/j.atmosenv.2014.11.023
44. Adjusting elemental carbon emissions in Northeast Asia using observed surface concentrations of downwind area and simulated contributions Y. Kang et al. https://doi.org/10.1016/j.envint.2023.108069
45. Inversion-based assessment of anthropogenic NOx emission changes in Ukraine during the 2022–2023 war using TROPOMI satellite data Y. Mao et al. https://doi.org/10.5194/acp-25-14187-2025
46. Remote sensing evidence of decadal changes in major tropospheric ozone precursors over East Asia A. Souri et al. https://doi.org/10.1002/2016JD025663
47. Decadal changes in global surface NOx emissions from multi-constituent satellite data assimilation K. Miyazaki et al. https://doi.org/10.5194/acp-17-807-2017
48. European NOx emissions in WRF-Chem derived from OMI: impacts on summertime surface ozone A. Visser et al. https://doi.org/10.5194/acp-19-11821-2019
49. Atmospheric gaseous hydrochloric and hydrobromic acid in urban Beijing, China: detection, source identification and potential atmospheric impacts X. Fan et al. https://doi.org/10.5194/acp-21-11437-2021
50. Adverse results of the economic crisis: A study on the emergence of enhanced formaldehyde (HCHO) levels seen from satellites over Greek urban sites I. Zyrichidou et al. https://doi.org/10.1016/j.atmosres.2019.03.017
51. Constraints on ship NOx emissions in Europe using GEOS-Chem and OMI satellite NO2 observations G. Vinken et al. https://doi.org/10.5194/acp-14-1353-2014
52. Space-based NOx emission estimates over remote regions improved in DECSO J. Ding et al. https://doi.org/10.5194/amt-10-925-2017
53. Global tropospheric ozone responses to reduced NO x emissions linked to the COVID-19 worldwide lockdowns K. Miyazaki et al. https://doi.org/10.1126/sciadv.abf7460
54. NOx emissions in France in 2019–2021 as estimated by the high-spatial-resolution assimilation of TROPOMI NO2 observations R. Plauchu et al. https://doi.org/10.5194/acp-24-8139-2024
55. Quantifying interprovincial NO₂ transport over the Yangtze River Delta: Dynamics and drivers Z. Sun et al. https://doi.org/10.1016/j.jes.2026.01.004
56. Characterization of OMI tropospheric NO2 over the Baltic Sea region I. Ialongo et al. https://doi.org/10.5194/acp-14-7795-2014
57. Updated tropospheric chemistry reanalysis and emission estimates, TCR-2, for 2005–2018 K. Miyazaki et al. https://doi.org/10.5194/essd-12-2223-2020
58. Atmospheric Impacts of COVID-19 on NOx and VOC Levels over China Based on TROPOMI and IASI Satellite Data and Modeling T. Stavrakou et al. https://doi.org/10.3390/atmos12080946
59. Constraining industrial ammonia emissions using hyperspectral infrared imaging L. Noppen et al. https://doi.org/10.1016/j.rse.2023.113559
60. MAX-DOAS measurements and satellite validation of tropospheric NO2 and SO2 vertical column densities at a rural site of North China J. Jin et al. https://doi.org/10.1016/j.atmosenv.2016.03.031
61. Analysis and Observations Concerning Concentrations of Nitrogen Oxides at the Giordan Lighthouse Atmospheric Observatory, Gozo (Maltese Islands) M. Saliba & A. Micallef https://doi.org/10.3390/sci7010034
62. Representativeness errors in comparing chemistry transport and chemistry climate models with satellite UV–Vis tropospheric column retrievals K. Boersma et al. https://doi.org/10.5194/gmd-9-875-2016
63. Global deposition of total reactive nitrogen oxides from 1996 to 2014 constrained with satellite observations of NO2 columns J. Geddes & R. Martin https://doi.org/10.5194/acp-17-10071-2017
64. Constraining long-term NOx emissions over the United States and Europe using nitrate wet deposition monitoring networks A. Christiansen et al. https://doi.org/10.5194/acp-24-4569-2024
65. Estimation of OH in urban plumes using TROPOMI-inferred NO2 ∕ CO S. Lama et al. https://doi.org/10.5194/acp-22-16053-2022
66. A High-Precision Mid-Infrared Spectrometer for Ambient HNO3 Measurements N. Sobanski et al. https://doi.org/10.3390/s22239158
67. 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
68. Relating satellite NO2 tropospheric columns to near-surface concentrations: implications from ground-based MAX-DOAS NO2 vertical profile observations B. Chang et al. https://doi.org/10.1038/s41612-024-00891-z
69. Intercomparison of NOx emission inventories over East Asia J. Ding et al. https://doi.org/10.5194/acp-17-10125-2017
70. Yields of HONO2 and HOONO Products from the Reaction of HO2 and NO Using Pulsed Laser Photolysis and Mid-Infrared Cavity-Ringdown Spectroscopy L. Mertens et al. https://doi.org/10.1021/acs.jpca.2c04643
71. Natural emissions of VOC and NOx over Africa constrained by TROPOMI HCHO and NO2 data using the MAGRITTEv1.1 model B. Opacka et al. https://doi.org/10.5194/acp-25-2863-2025
72. Seasonal variation and health risk of atmospheric nitrogen dioxide in Ondo state, Nigeria T. Ediagbonya et al. https://doi.org/10.1186/s12982-025-01011-9
73. Tropospheric NO2 vertical column densities retrieved from ground-based MAX-DOAS measurements at Shangdianzi regional atmospheric background station in China S. Cheng et al. https://doi.org/10.1016/j.jes.2018.12.012
74. NO2 Forecasting by China Meteorological Administration Evaluated According to TROPOMI Sentinel-5P Satellite Measurements and Surface Network H. Zhou et al. https://doi.org/10.3390/atmos17010021
75. Diurnal, seasonal and long-term variations of global formaldehyde columns inferred from combined OMI and GOME-2 observations I. De Smedt et al. https://doi.org/10.5194/acp-15-12519-2015
76. A comparison of the impact of TROPOMI and OMI tropospheric NO2 on global chemical data assimilation T. Sekiya et al. https://doi.org/10.5194/amt-15-1703-2022
77. Increasing Urban OH Levels in China over the Past Decade R. Xue et al. https://doi.org/10.1021/acs.est.6c01598
78. Photosensitizers Regulate Nitrate Photoproduct Yields in Bulk Aqueous Matrices E. Dalton et al. https://doi.org/10.1021/acs.est.4c09491
79. OMI tropospheric NO2 air mass factors over South America: effects of biomass burning aerosols P. Castellanos et al. https://doi.org/10.5194/amt-8-3831-2015
80. Variational regional inverse modeling of reactive species emissions with PYVAR-CHIMERE-v2019 A. Fortems-Cheiney et al. https://doi.org/10.5194/gmd-14-2939-2021
81. Isotopic constraints confirm the significant role of microbial nitrogen oxides emissions from the land and ocean environment W. Song et al. https://doi.org/10.1093/nsr/nwac106
82. Impacts of Horizontal Resolution on Global Data Assimilation of Satellite Measurements for Tropospheric Chemistry Analysis T. Sekiya et al. https://doi.org/10.1029/2020MS002180
83. Intercomparison of Magnitudes and Trends in Anthropogenic Surface Emissions From Bottom‐Up Inventories, Top‐Down Estimates, and Emission Scenarios N. Elguindi et al. https://doi.org/10.1029/2020EF001520
84. Global lightning NOx production estimated by an assimilation of multiple satellite data sets K. Miyazaki et al. https://doi.org/10.5194/acp-14-3277-2014
85. NOx Emissions Reduction and Rebound in China Due to the COVID‐19 Crisis J. Ding et al. https://doi.org/10.1029/2020GL089912
86. Aerosol inhibition on photochemical surface ozone formation under future climate and air quality scenarios G. Gopikrishnan et al. https://doi.org/10.1038/s41612-025-01048-2
87. Ships going slow in reducing their NOx emissions: changes in 2005–2012 ship exhaust inferred from satellite measurements over Europe K. Boersma et al. https://doi.org/10.1088/1748-9326/10/7/074007
88. Worldwide biogenic soil NOx emissions inferred from OMI NO2 observations G. Vinken et al. https://doi.org/10.5194/acp-14-10363-2014
89. Isoprene emissions over Asia 1979–2012: impact of climate and land-use changes T. Stavrakou et al. https://doi.org/10.5194/acp-14-4587-2014
90. Four years of ground-based MAX-DOAS observations of HONO and NO2 in the Beijing area F. Hendrick et al. https://doi.org/10.5194/acp-14-765-2014
91. Global high-resolution simulations of tropospheric nitrogen dioxide using CHASER V4.0 T. Sekiya et al. https://doi.org/10.5194/gmd-11-959-2018
92. Spatial and temporal variability of ozone sensitivity over China observed from the Ozone Monitoring Instrument X. Jin & T. Holloway https://doi.org/10.1002/2015JD023250
93. Seasonal Investigation of MAX-DOAS and In Situ Measurements of Aerosols and Trace Gases over Suburban Site of Megacity Shanghai, China A. Tanvir et al. https://doi.org/10.3390/rs14153676
94. Constraints on Aerosol Nitrate Photolysis as a Potential Source of HONO and NOx P. Romer et al. https://doi.org/10.1021/acs.est.8b03861
95. Constructing the 3D Spatial Distribution of the HCHO/NO2 Ratio via Satellite Observation and Machine Learning Model Z. Jiang et al. https://doi.org/10.1021/acs.est.4c12362
96. Ground-based MAX-DOAS observations of tropospheric aerosols, NO2, SO2 and HCHO in Wuxi, China, from 2011 to 2014 Y. Wang et al. https://doi.org/10.5194/acp-17-2189-2017
97. Tropospheric Aqueous-Phase Chemistry: Kinetics, Mechanisms, and Its Coupling to a Changing Gas Phase H. Herrmann et al. https://doi.org/10.1021/cr500447k
98. Top-Down NOX Emissions of European Cities Based on the Downwind Plume of Modelled and Space-Borne Tropospheric NO2 Columns W. Verstraeten et al. https://doi.org/10.3390/s18092893
99. Global tropical and extra-tropical tropospheric ozone trends and radiative forcing deduced from satellite and ozonesonde measurements for the period 2005–2020 G. Gopikrishnan & J. Kuttippurath https://doi.org/10.1016/j.envpol.2024.124869
100. Influence of satellite-derived photolysis rates and NOx emissions on Texas ozone modeling W. Tang et al. https://doi.org/10.5194/acp-15-1601-2015
101. A satellite-data-driven framework to rapidly quantify air-basin-scale NOx emissions and its application to the Po Valley during the COVID-19 pandemic K. Sun et al. https://doi.org/10.5194/acp-21-13311-2021
102. Impact Assessment of COVID‐19 Lockdown on Vertical Distributions of NO2 and HCHO From MAX‐DOAS Observations and Machine Learning Models S. Zhang et al. https://doi.org/10.1029/2021JD036377
103. Technical Note: A technique to convert NO2 to NO2− with S(IV) and its application to measuring nitrate photolysis A. Lieberman et al. https://doi.org/10.5194/acp-24-4411-2024
104. Long-Term (2011–2019) Trends of O3, NO2, and HCHO and Sensitivity Analysis of O3 Chemistry over the GBM (Ganges–Brahmaputra–Meghna) Delta: Spatial and Temporal Variabilities M. Pavel et al. https://doi.org/10.1021/acsearthspacechem.1c00057
105. Diurnal cycle and multi-decadal trend of formaldehyde in the remote atmosphere near 46° N B. Franco et al. https://doi.org/10.5194/acp-16-4171-2016
106. Disentangling the Impact of the COVID‐19 Lockdowns on Urban NO2 From Natural Variability D. Goldberg et al. https://doi.org/10.1029/2020GL089269
107. Source analysis of the tropospheric NO2 based on MAX-DOAS measurements in northeastern China F. Liu et al. https://doi.org/10.1016/j.envpol.2022.119424
108. The Ozone Monitoring Instrument: overview of 14 years in space P. Levelt et al. https://doi.org/10.5194/acp-18-5699-2018
109. How consistent are top-down hydrocarbon emissions based on formaldehyde observations from GOME-2 and OMI? T. Stavrakou et al. https://doi.org/10.5194/acp-15-11861-2015
110. Monthly top‐down NOx emissions for China (2005–2012): A hybrid inversion method and trend analysis Z. Qu et al. https://doi.org/10.1002/2016JD025852
111. Formaldehyde and nitrogen dioxide in the atmosphere during summer weather extremes and wildfires in European Russia in 2010 and Western Siberia in 2012 S. Sitnov & I. Mokhov https://doi.org/10.1080/01431161.2017.1312618
112. Assessing the ability to quantify the decrease in NOx anthropogenic emissions in 2019 compared to 2005 using OMI and TROPOMI satellite observations A. Fortems-Cheiney et al. https://doi.org/10.5194/acp-25-6047-2025
113. The reaction of methyl peroxy and hydroxyl radicals as a major source of atmospheric methanol J. Müller et al. https://doi.org/10.1038/ncomms13213
114. Updated SO2 emission estimates over China using OMI/Aura observations M. Koukouli et al. https://doi.org/10.5194/amt-11-1817-2018
115. A comparison study between CMAQ-simulated and OMI-retrieved NO2 columns over East Asia for evaluation of NOx emission fluxes of INTEX-B, CAPSS, and REAS inventories K. Han et al. https://doi.org/10.5194/acp-15-1913-2015
116. Estimation of NO2 emission strengths over Riyadh and Madrid from space from a combination of wind-assigned anomalies and a machine learning technique Q. Tu et al. https://doi.org/10.5194/amt-16-2237-2023
117. Technical note: A comparative study of chemistry schemes for volcanic sulfur dioxide in Lagrangian transport simulations – a case study of the 2019 Raikoke eruption M. Liu et al. https://doi.org/10.5194/acp-25-4403-2025
118. Insight into the formation of secondary inorganic aerosol based on high-time-resolution data during haze episodes and snowfall periods in Zhengzhou, China S. Wang et al. https://doi.org/10.1016/j.scitotenv.2018.12.465
119. Formation of Urban Fine Particulate Matter R. Zhang et al. https://doi.org/10.1021/acs.chemrev.5b00067
120. Sensitivity of photochemical surface ozone formation regimes to emissions and meteorology in India G. Gopikrishnan et al. https://doi.org/10.5194/acp-26-1907-2026