240 citations as recorded by crossref.

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4. Satellite-derived emissions of carbon monoxide, ammonia, and nitrogen dioxide from the 2016 Horse River wildfire in the Fort McMurray area C. Adams et al. https://doi.org/10.5194/acp-19-2577-2019
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7. Constraining NOx emissions using satellite NO2 measurements during 2013 DISCOVER-AQ Texas campaign A. Souri et al. https://doi.org/10.1016/j.atmosenv.2016.02.020
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11. Characteristics of Ethiopia Air Chemistry and Its Meteorological Context M. Jury https://doi.org/10.1175/EI-D-17-0009.1
12. An improved air mass factor calculation for nitrogen dioxide measurements from the Global Ozone Monitoring Experiment-2 (GOME-2) S. Liu et al. https://doi.org/10.5194/amt-13-755-2020
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19. Space-based detection of missing sulfur dioxide sources of global air pollution C. McLinden et al. https://doi.org/10.1038/ngeo2724
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22. Intercomparison of four airborne imaging DOAS systems for tropospheric NO2 mapping – the AROMAPEX campaign F. Tack et al. https://doi.org/10.5194/amt-12-211-2019
23. Caribbean Air Chemistry and Dispersion Conditions M. Jury https://doi.org/10.3390/atmos8080151
24. Insights into the long-term (2005–2021) spatiotemporal evolution of summer ozone production sensitivity in the Northern Hemisphere derived with the Ozone Monitoring Instrument (OMI) M. Johnson et al. https://doi.org/10.5194/acp-24-10363-2024
25. Analysis of spatial and temporal patterns of on-road NO2 concentrations in Hong Kong Y. Zhu et al. https://doi.org/10.5194/amt-11-6719-2018
26. First estimates of global free-tropospheric NO2 abundances derived using a cloud-slicing technique applied to satellite observations from the Aura Ozone Monitoring Instrument (OMI) S. Choi et al. https://doi.org/10.5194/acp-14-10565-2014
27. Comparison of Atmospheric Nitrogen Dioxide Content Data Derived from Satellite (OMI) and Ground-Based (NDACC) Measurements A. Gruzdev & A. Elokhov https://doi.org/10.1134/S1024856024700908
28. Tropospheric NO2 Column over Tibet Plateau According to Geostationary Environment Monitoring Spectrometer: Spatial, Seasonal, and Diurnal Variations X. Zhang et al. https://doi.org/10.3390/rs17101690
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30. A high-resolution and observationally constrained OMI NO2 satellite retrieval D. Goldberg et al. https://doi.org/10.5194/acp-17-11403-2017
31. Assessment of NO2 observations during DISCOVER-AQ and KORUS-AQ field campaigns S. Choi et al. https://doi.org/10.5194/amt-13-2523-2020
32. Assessment of the relative influences of long-range transport, fossil fuel and biomass burning from aerosol pollution under restricted anthropogenic emissions: A national scenario in India M. Dutta & A. Chatterjee https://doi.org/10.1016/j.atmosenv.2021.118423
33. Investigations of temporal and spatial distribution of precursors SO2 and NO2 vertical columns in the North China Plain using mobile DOAS F. Wu et al. https://doi.org/10.5194/acp-18-1535-2018
34. Glyoxal yield from isoprene oxidation and relation to formaldehyde: chemical mechanism, constraints from SENEX aircraft observations, and interpretation of OMI satellite data C. Chan Miller et al. https://doi.org/10.5194/acp-17-8725-2017
35. Application of Satellite‐Based Detections of Arctic Bromine Explosion Events Within GEOS‐Chem P. Wales et al. https://doi.org/10.1029/2022MS003465
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37. Intercomparison of stratospheric nitrogen dioxide columns retrieved from ground-based DOAS and FTIR and satellite DOAS instruments over the subtropical Izana station C. Robles-Gonzalez et al. https://doi.org/10.5194/amt-9-4471-2016
38. Harmonized cloud datasets for the Ozone Monitoring Instrument (OMI) and TROPOspheric Monitoring Instrument (TROPOMI) using the O2–O2 477 nm absorption band H. Yu et al. https://doi.org/10.5194/amt-18-4131-2025
39. Measured and modelled ozone photochemical production in the Baltimore-Washington airshed L. Hembeck et al. https://doi.org/10.1016/j.aeaoa.2019.100017
40. Assimilation of satellite NO2 observations at high spatial resolution using OSSEs X. Liu et al. https://doi.org/10.5194/acp-17-7067-2017
41. A study of tropospheric NO2 variability over Pakistan using OMI data Z. ul–Haq et al. https://doi.org/10.5094/APR.2014.080
42. Explicit and consistent aerosol correction for visible wavelength satellite cloud and nitrogen dioxide retrievals based on optical properties from a global aerosol analysis A. Vasilkov et al. https://doi.org/10.5194/amt-14-2857-2021
43. Comparison of Data of OMI Long-Term Measurements of NO2 Contents in the Stratosphere and Troposphere with the Results of Ground-Based Measurements A. Gruzdev & A. Elokhov https://doi.org/10.1134/S000143382301005X
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45. Air Pollution Dispersion over Durban, South Africa M. Jury & M. Buthelezi https://doi.org/10.3390/atmos13050811
46. Combining Machine Learning and Satellite Observations to Predict Spatial and Temporal Variation of near Surface OH in North American Cities Q. Zhu et al. https://doi.org/10.1021/acs.est.1c05636
47. Lightning NOx Emissions: Reconciling Measured and Modeled Estimates With Updated NOx Chemistry B. Nault et al. https://doi.org/10.1002/2017GL074436
48. Use of machine learning and principal component analysis to retrieve nitrogen dioxide (NO2) with hyperspectral imagers and reduce noise in spectral fitting J. Joiner et al. https://doi.org/10.5194/amt-16-481-2023
49. 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
50. Variation of temporal and spatial patterns of NO2 in Beijing using OMI and mobile DOAS A. Li et al. https://doi.org/10.1007/s11426-015-5459-x
51. Variability of O3 and NO2 profile shapes during DISCOVER-AQ: Implications for satellite observations and comparisons to model-simulated profiles C. Flynn et al. https://doi.org/10.1016/j.atmosenv.2016.09.068
52. Climate trends in the East Antilles Islands M. Jury & D. Bernard https://doi.org/10.1002/joc.6191
53. Inverse modeling of Texas NOx emissions using space-based and ground-based NO2 observations W. Tang et al. https://doi.org/10.5194/acp-13-11005-2013
54. 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
55. Evidence for energetic particle precipitation and quasi-biennial oscillation modulations of the Antarctic NO2 springtime stratospheric column from OMI observations E. Gordon et al. https://doi.org/10.5194/acp-20-6259-2020
56. Revising the slant column density retrieval of nitrogen dioxide observed by the Ozone Monitoring Instrument S. Marchenko et al. https://doi.org/10.1002/2014JD022913
57. An improved retrieval of tropospheric NO2 from space over polluted regions using an Earth radiance reference J. Anand et al. https://doi.org/10.5194/amt-8-1519-2015
58. The version 3 OMI NO2 standard product N. Krotkov et al. https://doi.org/10.5194/amt-10-3133-2017
59. Quantifying NOxpoint sources with Landsat and Sentinel-2 satellite observations of NO2plumes D. Varon et al. https://doi.org/10.1073/pnas.2317077121
60. 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
61. Remote sensing study of ozone, NO2, and CO: some contrary effects of SARS-CoV-2 lockdown over India P. Rawat & M. Naja https://doi.org/10.1007/s11356-021-17441-2
62. Assessing the Impact of Lightning NOx Emissions in CMAQ Using Lightning Flash Data from WWLLN over the Contiguous United States D. Kang et al. https://doi.org/10.3390/atmos13081248
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64. Estimates of power plant NOx emissions and lifetimes from OMI NO2 satellite retrievals B. de Foy et al. https://doi.org/10.1016/j.atmosenv.2015.05.056
65. Space-based retrieval of NO2 over biomass burning regions: quantifying and reducing uncertainties N. Bousserez https://doi.org/10.5194/amt-7-3431-2014
66. Long-distance mobile MAX-DOAS observations of NO2 and SO2 over the North China Plain and identification of regional transport and power plant emissions W. Tan et al. https://doi.org/10.1016/j.atmosres.2020.105037
67. Assessment of the quality of TROPOMI high-spatial-resolution NO2 data products in the Greater Toronto Area X. Zhao et al. https://doi.org/10.5194/amt-13-2131-2020
68. The Ozone Monitoring Instrument: overview of 14 years in space P. Levelt et al. https://doi.org/10.5194/acp-18-5699-2018
69. BREATH-Net: a novel deep learning framework for NO2 prediction using bi-directional encoder with transformer A. Verma et al. https://doi.org/10.1007/s10661-024-12455-y
70. Nitrogen dioxide observations from the Geostationary Trace gas and Aerosol Sensor Optimization (GeoTASO) airborne instrument: Retrieval algorithm and measurements during DISCOVER-AQ Texas 2013 C. Nowlan et al. https://doi.org/10.5194/amt-9-2647-2016
71. Global near-surface methane distribution and emission hotspots from TROPOMI: A geospatial machine-learning approach D. Lee et al. https://doi.org/10.1016/j.scitotenv.2026.181848
72. Directionally dependent Lambertian-equivalent reflectivity (DLER) of the Earth's surface measured by the GOME-2 satellite instruments L. Tilstra et al. https://doi.org/10.5194/amt-14-4219-2021
73. Spatio-Temporal Heterogeneous Impacts of the Drivers of NO2 Pollution in Chinese Cities: Based on Satellite Observation Data Y. Cui et al. https://doi.org/10.3390/rs14143487
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75. Evaluation of OMI operational standard NO2 column retrievals using in situ and surface-based NO2 observations L. Lamsal et al. https://doi.org/10.5194/acp-14-11587-2014
76. Quantifying Emissions of CO and NOx Using Observations From MOPITT, OMI, TES, and OSIRIS X. Zhang et al. https://doi.org/10.1029/2018JD028670
77. Trends and variability in surface ozone over the United States S. Strode et al. https://doi.org/10.1002/2014JD022784
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82. Spatiotemporal variability and contribution of different aerosol types to the aerosol optical depth over the Eastern Mediterranean A. Georgoulias et al. https://doi.org/10.5194/acp-16-13853-2016
83. Estimating daily surface NO2 concentrations from satellite data – a case study over Hong Kong using land use regression models J. Anand & P. Monks https://doi.org/10.5194/acp-17-8211-2017
84. Vertical distribution of tropospheric ozone and its sources of precursors over Beijing: Results from ∼ 20 years of ozonesonde measurements based on clustering analysis Y. Zeng et al. https://doi.org/10.1016/j.atmosres.2023.106610
85. A top-down assessment using OMI NO2 suggests an underestimate in the NOx emissions inventory in Seoul, South Korea, during KORUS-AQ D. Goldberg et al. https://doi.org/10.5194/acp-19-1801-2019
86. Characterization of ozone production in San Antonio, Texas, using measurements of total peroxy radicals D. Anderson et al. https://doi.org/10.5194/acp-19-2845-2019
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88. Opinion: Beyond global means – novel space-based approaches to indirectly constrain the concentrations of and trends and variations in the tropospheric hydroxyl radical (OH) B. Duncan et al. https://doi.org/10.5194/acp-24-13001-2024
89. Characterization of satellite-based proxies for estimating nucleation mode particles over South Africa A. Sundström et al. https://doi.org/10.5194/acp-15-4983-2015
90. Direct Retrieval of NO 2 Vertical Columns from UV-Vis (390-495 nm) Spectral Radiances Using a Neural Network C. Li et al. https://doi.org/10.34133/2022/9817134
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107. Sensitivity of tropical tropospheric composition to lightning NOx production as determined by replay simulations with GEOS‐5 C. Liaskos et al. https://doi.org/10.1002/2014JD022987
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111. Estimation of winter time NOx emissions in Hefei, a typical inland city of China, using mobile MAX-DOAS observations W. Tan et al. https://doi.org/10.1016/j.atmosenv.2018.12.009
112. Changes in the ozone chemical regime over the contiguous United States inferred by the inversion of NOx and VOC emissions using satellite observation J. Jung et al. https://doi.org/10.1016/j.atmosres.2022.106076
113. FTIR time series of stratospheric NO2 over Hefei, China, and comparisons with OMI and GEOS-Chem model data H. Yin et al. https://doi.org/10.1364/OE.27.0A1225
114. Tropospheric NO2 retrieval algorithm for geostationary satellite instruments: applications to GEMS S. Seo et al. https://doi.org/10.5194/amt-17-6163-2024
115. Typical meteorological conditions associated with extreme nitrogen dioxide (NO2) pollution events over Scandinavia M. Thomas & A. Devasthale https://doi.org/10.5194/acp-17-12071-2017
116. Identifying the spatiotemporal variations in ozone formation regimes across China from 2005 to 2019 based on polynomial simulation and causality analysis R. Li et al. https://doi.org/10.5194/acp-21-15631-2021
117. Hybrid transformer and physics-informed neural operator for correcting TEMPO NO2 biases over North America S. Kayastha et al. https://doi.org/10.1038/s44407-026-00056-7
118. A cloud algorithm based on the O2-O2 477 nm absorption band featuring an advanced spectral fitting method and the use of surface geometry-dependent Lambertian-equivalent reflectivity A. Vasilkov et al. https://doi.org/10.5194/amt-11-4093-2018
119. OMI air-quality monitoring over the Middle East M. Barkley et al. https://doi.org/10.5194/acp-17-4687-2017
120. Improved aerosol correction for OMI tropospheric NO2 retrieval over East Asia: constraint from CALIOP aerosol vertical profile M. Liu et al. https://doi.org/10.5194/amt-12-1-2019
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122. A Decade of Change in NO2 and SO2 over the Canadian Oil Sands As Seen from Space C. McLinden et al. https://doi.org/10.1021/acs.est.5b04985
123. Intercomparison of daytime stratospheric NO2 satellite retrievals and model simulations M. Belmonte Rivas et al. https://doi.org/10.5194/amt-7-2203-2014
124. Sector‐Based Top‐Down Estimates of NOx, SO2, and CO Emissions in East Asia Z. Qu et al. https://doi.org/10.1029/2021GL096009
125. Improved slant column density retrieval of nitrogen dioxide and formaldehyde for OMI and GOME-2A from QA4ECV: intercomparison, uncertainty characterisation, and trends M. Zara et al. https://doi.org/10.5194/amt-11-4033-2018
126. Improved modelling of soil NO x emissions in a high temperature agricultural region: role of background emissions on NO2 trend over the US Y. Wang et al. https://doi.org/10.1088/1748-9326/ac16a3
127. Characterization of OMI tropospheric NO2 over the Baltic Sea region I. Ialongo et al. https://doi.org/10.5194/acp-14-7795-2014
128. US COVID‐19 Shutdown Demonstrates Importance of Background NO2 in Inferring NOx Emissions From Satellite NO2 Observations Z. Qu et al. https://doi.org/10.1029/2021GL092783
129. Evaluating the impact of spatial resolution on tropospheric NO2 column comparisons within urban areas using high-resolution airborne data L. Judd et al. https://doi.org/10.5194/amt-12-6091-2019
130. Hotspot of glyoxal over the Pearl River delta seen from the OMI satellite instrument: implications for emissions of aromatic hydrocarbons C. Chan Miller et al. https://doi.org/10.5194/acp-16-4631-2016
131. The Effects of Aerosol on the Retrieval Accuracy of NO2 Slant Column Density H. Hong et al. https://doi.org/10.3390/rs9080867
132. Inversion Models for the Retrieval of Total and Tropospheric NO2 Columns S. Liu https://doi.org/10.3390/atmos10100607
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141. Effects of daily meteorology on the interpretation of space-based remote sensing of NO2 J. Laughner et al. https://doi.org/10.5194/acp-16-15247-2016
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184. Impact of natural gas production on nitrogen dioxide and sulphur dioxide over Northeast British Columbia, Canada S. Islam et al. https://doi.org/10.1016/j.atmosenv.2019.117231
185. Distribution and sources of air pollutants in the North China Plain based on on-road mobile measurements Y. Zhu et al. https://doi.org/10.5194/acp-16-12551-2016
186. Satellite data to support air quality assessment and management T. Holloway et al. https://doi.org/10.1080/10962247.2025.2484153
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188. Modeling of tropospheric NO2 column over different climatic zones and land use/land cover types in South Asia Z. ul-Haq et al. https://doi.org/10.1016/j.jastp.2018.01.022
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199. Algorithms and uncertainties for the determination of multispectral irradiance components and aerosol optical depth from a shipborne rotating shadowband radiometer J. Witthuhn et al. https://doi.org/10.5194/amt-10-709-2017
200. Remote Sensing Measurements at a Rural Site in China: Implications for Satellite NO2 and HCHO Measurement Uncertainty and Emissions From Fires K. Chong et al. https://doi.org/10.1029/2023JD039310
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203. Why do models overestimate surface ozone in the Southeast United States? K. Travis et al. https://doi.org/10.5194/acp-16-13561-2016
204. The Dawn of Geostationary Air Quality Monitoring: Case Studies From Seoul and Los Angeles L. Judd et al. https://doi.org/10.3389/fenvs.2018.00085
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206. Evaluating Sentinel-5P TROPOMI tropospheric NO2 column densities with airborne and Pandora spectrometers near New York City and Long Island Sound L. Judd et al. https://doi.org/10.5194/amt-13-6113-2020
207. Impact of the 2008 Global Recession on air quality over the United States: Implications for surface ozone levels from changes in NOx emissions D. Tong et al. https://doi.org/10.1002/2016GL069885
208. What caused severe air pollution episode of November 2016 in New Delhi? V. Kanawade et al. https://doi.org/10.1016/j.atmosenv.2019.117125
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213. 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
214. Comparisons of ground-based tropospheric NO2 MAX-DOAS measurements to satellite observations with the aid of an air quality model over the Thessaloniki area, Greece T. Drosoglou et al. https://doi.org/10.5194/acp-17-5829-2017
215. Quantification of lightning-produced NOx over the Pyrenees and the Ebro Valley by using different TROPOMI-NO2 and cloud research products F. Pérez-Invernón et al. https://doi.org/10.5194/amt-15-3329-2022
216. Representing improved tropospheric ozone distribution over the Northern Hemisphere by including lightning NOx emissions in CHIMERE S. Ghosh et al. https://doi.org/10.5194/acp-25-6273-2025
217. Mechanistic representation of soil nitrogen emissions in the Community Multiscale Air Quality (CMAQ) model v 5.1 Q. Rasool et al. https://doi.org/10.5194/gmd-12-849-2019
218. Examining ENSO-related variability in tropical tropospheric ozone in the RAQMS-Aura chemical reanalysis M. Bruckner et al. https://doi.org/10.5194/acp-24-10921-2024
219. Evaluation of version 3.0B of the BEHR OMI NO2 product J. Laughner et al. https://doi.org/10.5194/amt-12-129-2019
220. 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
221. Dealing with spatial heterogeneity in pointwise-to-gridded- data comparisons A. Souri et al. https://doi.org/10.5194/amt-15-41-2022
222. Assessment of the magnitude and recent trends in satellite-derived ground-level nitrogen dioxide over North America S. Kharol et al. https://doi.org/10.1016/j.atmosenv.2015.08.011
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228. Nitrogen oxides in the free troposphere: implications for tropospheric oxidants and the interpretation of satellite NO2 measurements V. Shah et al. https://doi.org/10.5194/acp-23-1227-2023
229. Spatiotemporal neural network for estimating surface NO2 concentrations over north China and their human health impact C. Zhang et al. https://doi.org/10.1016/j.envpol.2022.119510
230. Characterization of ozone in the lower troposphere during the 2016 G20 conference in Hangzhou W. Su et al. https://doi.org/10.1038/s41598-017-17646-x
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232. Limb–nadir matching using non-coincident NO2 observations: proof of concept and the OMI-minus-OSIRIS prototype product C. Adams et al. https://doi.org/10.5194/amt-9-4103-2016
233. Comparison of OMI NO2 observations and their seasonal and weekly cycles with ground-based measurements in Helsinki I. Ialongo et al. https://doi.org/10.5194/amt-9-5203-2016
234. Quantification of the effect of modeled lightning NO2 on UV–visible air mass factors J. Laughner & R. Cohen https://doi.org/10.5194/amt-10-4403-2017
235. Nitrogen dioxide and formaldehyde measurements from the GEOstationary Coastal and Air Pollution Events (GEO-CAPE) Airborne Simulator over Houston, Texas C. Nowlan et al. https://doi.org/10.5194/amt-11-5941-2018
236. Evaluation of GEMS NO2 Retrieval Algorithm Version 2.0 and 3.0 Using TROPOMI and Pandora Observations Y. Jung et al. https://doi.org/10.7780/kjrs.2025.41.5.8
237. Influence of aerosols and surface reflectance on satellite NO2 retrieval: seasonal and spatial characteristics and implications for NOx emission constraints J. Lin et al. https://doi.org/10.5194/acp-15-11217-2015
238. The STRatospheric Estimation Algorithm from Mainz (STREAM): estimating stratospheric NO2 from nadir-viewing satellites by weighted convolution S. Beirle et al. https://doi.org/10.5194/amt-9-2753-2016
239. Improved satellite retrievals of NO2 and SO2 over the Canadian oil sands and comparisons with surface measurements C. McLinden et al. https://doi.org/10.5194/acp-14-3637-2014
240. Preflight Evaluation of the Environmental Trace Gases Monitoring Instrument with Nadir and Limb Modes (EMI-NL) Based on Measurements of Standard NO2 Sample Gas T. Yang et al. https://doi.org/10.3390/rs14225886