166 citations as recorded by crossref.

1. Accounting for the effects of surface BRDF on satellite cloud and trace-gas retrievals: a new approach based on geometry-dependent Lambertian equivalent reflectivity applied to OMI algorithms A. Vasilkov et al. 10.5194/amt-10-333-2017
2. Satellite evidence of substantial rain-induced soil emissions of ammonia across the Sahel J. Hickman et al. 10.5194/acp-18-16713-2018
3. Quantitative Assessment of Different Air Pollutants (QADAP) Using Daily MODIS Images A. Ahmadian Marj et al. 10.1007/s41742-017-0046-y
4. MRS-STFF: Evaluation of biomass energy combustion and associated pollutants D. Liu et al. 10.1080/10807039.2022.2038081
5. Diagnosis of ozone formation sensitivity in the Mexico City Metropolitan Area using HCHO/NO2 column ratios from the ozone monitoring instrument J. Vazquez Santiago et al. 10.1016/j.envadv.2021.100138
6. Quantifying spatially varying impacts of public transport on NO$$_2$$ concentrations with big geo-data H. Wang et al. 10.1007/s10661-023-11289-4
7. A comprehensive review delineates advancements in retrieving particulate matter utilising satellite aerosol optical depth: Parameter consideration, data processing, models development and future perspectives S. Padimala & C. Matli 10.1016/j.atmosres.2024.107514
8. Improving machine-learned surface NO2 concentration mapping models with domain knowledge from data science perspective M. Hu et al. 10.1016/j.atmosenv.2024.120372
9. Spatio-Temporal Variability of Aerosol Optical Depth, Total Ozone and NO2 Over East Asia: Strategy for the Validation to the GEMS Scientific Products S. Park et al. 10.3390/rs12142256
10. Tropospheric NO2 measurements using a three-wavelength optical parametric oscillator differential absorption lidar J. Su et al. 10.5194/amt-14-4069-2021
11. Trends and seasonal variability of atmospheric NO2 and HNO3 concentrations across three major African biomes inferred from long-term series of ground-based and satellite measurements M. Ossohou et al. 10.1016/j.atmosenv.2019.03.027
12. COVID-19 mortality rates in South America related to environmental factors L. Varanda Rizzo et al. 10.1080/00207233.2022.2052536
13. Anticipating the Novel Coronavirus Disease (COVID-19) Pandemic T. Kaur et al. 10.3389/fpubh.2020.569669
14. Evaluation of OMI NO2 Vertical Columns Using MAX-DOAS Observations over Mexico City Z. Ojeda Lerma et al. 10.3390/rs13040761
15. Spatial and temporal variability of ground and satellite column measurements of NO2 and O3 over the Atlantic Ocean during the Deposition of Atmospheric Nitrogen to Coastal Ecosystems Experiment D. Martins et al. 10.1002/2016JD024998
16. 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 10.1080/01431161.2017.1312618
17. Spatial and temporal analysis of HCHO response to drought in South Korea S. Wasti & Y. Wang 10.1016/j.scitotenv.2022.158451
18. Retrieval of total column and surface NO2 from Pandora zenith-sky measurements X. Zhao et al. 10.5194/acp-19-10619-2019
19. Evaluation of China’s Environmental Pressures Based on Satellite NO2 Observation and the Extended STIRPAT Model Y. Cui et al. 10.3390/ijerph16091487
20. Airborne cavity enhanced absorption spectroscopy for high time resolution measurements of atmospheric NO2 . Liang Shuai-Xi et al. 10.7498/aps.66.090704
21. Evaluating a Space‐Based Indicator of Surface Ozone‐NOx‐VOC Sensitivity Over Midlatitude Source Regions and Application to Decadal Trends X. Jin et al. 10.1002/2017JD026720
22. 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. 10.5194/acp-19-1801-2019
23. Atmospheric Trace Gas (NO2 and O3) Variability in South Korean Coastal Waters, and Implications for Remote Sensing of Coastal Ocean Color Dynamics M. Tzortziou et al. 10.3390/rs10101587
24. Response of tropospheric nitrogen dioxide variations based on Major Function Oriented Zones over eastern China during 2006–2021 Y. Hou et al. 10.1007/s11869-022-01283-z
25. An Estimation of Top-Down NOx Emissions from OMI Sensor Over East Asia K. Han et al. 10.3390/rs12122004
26. Comparing OMI-based and EPA AQS in situ NO2 trends: towards understanding surface NOx emission changes R. Zhang et al. 10.5194/amt-11-3955-2018
27. A geometry-dependent surface Lambertian-equivalent reflectivity product for UV–Vis retrievals – Part 2: Evaluation over open ocean Z. Fasnacht et al. 10.5194/amt-12-6749-2019
28. Source analysis of the tropospheric NO2 based on MAX-DOAS measurements in northeastern China F. Liu et al. 10.1016/j.envpol.2022.119424
29. Observed NO/NO2 Ratios in the Upper Troposphere Imply Errors in NO‐NO2‐O3 Cycling Kinetics or an Unaccounted NOx Reservoir R. Silvern et al. 10.1029/2018GL077728
30. Evaluation of NOx emissions for Turkey using satellite and ground-based observations E. Oner & B. Kaynak 10.1016/j.apr.2015.10.017
31. Meteorology of air pollution in Los Angeles M. Jury 10.1016/j.apr.2020.04.016
32. Ground-level NO2 concentration estimation based on OMI tropospheric NO2 and its spatiotemporal characteristics in typical regions of China Y. Chi et al. 10.1016/j.atmosres.2021.105821
33. An improved air mass factor calculation for nitrogen dioxide measurements from the Global Ozone Monitoring Experiment-2 (GOME-2) S. Liu et al. 10.5194/amt-13-755-2020
34. Continental and Ecoregion‐Specific Drivers of Atmospheric NO2 and NH3 Seasonality Over Africa Revealed by Satellite Observations J. Hickman et al. 10.1029/2020GB006916
35. Lightning NOx Emissions: Reconciling Measured and Modeled Estimates With Updated NOx Chemistry B. Nault et al. 10.1002/2017GL074436
36. Air Pollution Dispersion over Durban, South Africa M. Jury & M. Buthelezi 10.3390/atmos13050811
37. Analysis of the tropospheric column nitrogen dioxide over China based on satellite observations during 2008–2017 Y. Hou et al. 10.1016/j.apr.2018.11.003
38. Impact of aerosols on the OMI tropospheric NO2 retrievals over industrialized regions: how accurate is the aerosol correction of cloud-free scenes via a simple cloud model? J. Chimot et al. 10.5194/amt-9-359-2016
39. Estimating Ground Level NO2 Concentrations over Central-Eastern China Using a Satellite-Based Geographically and Temporally Weighted Regression Model K. Qin et al. 10.3390/rs9090950
40. A model investigation into the atmospheric NOy chemistry in remote continental Asia K. Han et al. 10.1016/j.atmosenv.2019.116817
41. Observational operator for fair model evaluation with ground NO2 measurements L. Fang et al. 10.5194/gmd-17-8267-2024
42. Inferring near-surface ozone production regimes: Insights from using satellite retrievals over the contiguous US A. Singh et al. 10.1016/j.atmosenv.2025.121208
43. Sensitivity of total column NO2 at a marine site within the Chesapeake Bay during OWLETS-2 A. Kotsakis et al. 10.1016/j.atmosenv.2022.119063
44. Stratosphere–troposphere separation of nitrogen dioxide columns from the TEMPO geostationary satellite instrument J. Geddes et al. 10.5194/amt-11-6271-2018
45. Characterization of OMI tropospheric NO2 over the Baltic Sea region I. Ialongo et al. 10.5194/acp-14-7795-2014
46. Emissions Background, Climate, and Season Determine the Impacts of Past and Future Pandemic Lockdowns on Atmospheric Composition and Climate J. Hickman et al. 10.1029/2022EF002959
47. Characteristics of Ethiopia Air Chemistry and Its Meteorological Context M. Jury 10.1175/EI-D-17-0009.1
48. Substantial Decreases in U.S. Cities’ Ground-Based NO2 Concentrations during COVID-19 from Reduced Transportation A. Heintzelman et al. 10.3390/su13169030
49. Diagnosing ozone–NOx–VOC sensitivity and revealing causes of ozone increases in China based on 2013–2021 satellite retrievals J. Ren et al. 10.5194/acp-22-15035-2022
50. Nitrogen dioxide and formaldehyde measurements from the GEOstationary Coastal and Air Pollution Events (GEO-CAPE) Airborne Simulator over Houston, Texas C. Nowlan et al. 10.5194/amt-11-5941-2018
51. A geometry-dependent surface Lambertian-equivalent reflectivity product for UV–Vis retrievals – Part 1: Evaluation over land surfaces using measurements from OMI at 466 nm W. Qin et al. 10.5194/amt-12-3997-2019
52. Comprehensive evaluations of diurnal NO2 measurements during DISCOVER-AQ 2011: effects of resolution-dependent representation of NOx emissions J. Li et al. 10.5194/acp-21-11133-2021
53. Downwind Ozone Changes of the 2019 Williams Flats Wildfire: Insights From WRF‐Chem/DART Assimilation of OMI NO2, HCHO, and MODIS AOD Retrievals A. Pouyaei et al. 10.1029/2022JD038019
54. Variability of tropospheric columnar NO2 and SO2 over eastern Indo-Gangetic Plain and impact of meteorology D. Ghosh et al. 10.1007/s11869-016-0451-y
55. The Spatial–Temporal Variation of Tropospheric NO2 over China during 2005 to 2018 C. Wang et al. 10.3390/atmos10080444
56. Assessment of the quality of TROPOMI high-spatial-resolution NO2 data products in the Greater Toronto Area X. Zhao et al. 10.5194/amt-13-2131-2020
57. Reductions in NO2 concentrations in Seoul, South Korea detected from space and ground-based monitors prior to and during the COVID-19 pandemic S. Seo et al. 10.1088/2515-7620/abed92
58. Ozone and NOx chemistry in the eastern US: evaluation of CMAQ/CB05 with satellite (OMI) data T. Canty et al. 10.5194/acp-15-10965-2015
59. Representativeness errors in comparing chemistry transport and chemistry climate models with satellite UV–Vis tropospheric column retrievals K. Boersma et al. 10.5194/gmd-9-875-2016
60. Geoecological analysis of NO2 content in atmospheric air in cities in the north of Moscow region based on Earth remote sensing data T. Lukyanova et al. 10.1088/1755-1315/867/1/012170
61. Assessment of Updated Fuel‐Based Emissions Inventories Over the Contiguous United States Using TROPOMI NO2 Retrievals M. Li et al. 10.1029/2021JD035484
62. 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. 10.1016/j.atmosres.2022.106076
63. Limb–nadir matching using non-coincident NO2 observations: proof of concept and the OMI-minus-OSIRIS prototype product C. Adams et al. 10.5194/amt-9-4103-2016
64. Assessment of mixed-layer height estimation from single-wavelength ceilometer profiles T. Knepp et al. 10.5194/amt-10-3963-2017
65. Declining precipitation acidity from H2SO4 and HNO3 across China inferred by OMI products X. Zhang et al. 10.1016/j.atmosenv.2020.117359
66. Ozone Monitoring Instrument (OMI) Aura nitrogen dioxide standard product version 4.0 with improved surface and cloud treatments L. Lamsal et al. 10.5194/amt-14-455-2021
67. Ozone trends and their sensitivity in global megacities under the warming climate J. Vazquez Santiago et al. 10.1038/s41467-024-54490-w
68. Spatio-temporal variations in NO2 and SO2 over Shanghai and Chongming Eco-Island measured by Ozone Monitoring Instrument (OMI) during 2008–2017 R. Xue et al. 10.1016/j.jclepro.2020.120563
69. Reductions in NO 2 burden over north equatorial Africa from decline in biomass burning in spite of growing fossil fuel use, 2005 to 2017 J. Hickman et al. 10.1073/pnas.2002579118
70. Why do models overestimate surface ozone in the Southeast United States? K. Travis et al. 10.5194/acp-16-13561-2016
71. Research on the ozone formation sensitivity indicator of four urban agglomerations of China using Ozone Monitoring Instrument (OMI) satellite data and ground-based measurements Y. Chen et al. 10.1016/j.scitotenv.2023.161679
72. U.S. NO2 trends (2005–2013): EPA Air Quality System (AQS) data versus improved observations from the Ozone Monitoring Instrument (OMI) L. Lamsal et al. 10.1016/j.atmosenv.2015.03.055
73. A space‐based, high‐resolution view of notable changes in urban NOx pollution around the world (2005–2014) B. Duncan et al. 10.1002/2015JD024121
74. Meteorological factors contributing to the interannual variability of midsummer surface ozone in Colorado, Utah, and other western U.S. states P. Reddy & G. Pfister 10.1002/2015JD023840
75. Typical meteorological conditions associated with extreme nitrogen dioxide (NO2) pollution events over Scandinavia M. Thomas & A. Devasthale 10.5194/acp-17-12071-2017
76. Distribution of atmospheric NO2 in the industrial cities using OMI and MODIS images (Case study: Tehran metropolis) A. Ahmadian et al. 10.29252/jgit.6.1.171
77. Spatial and temporal changes of the ozone sensitivity in China based on satellite and ground-based observations W. Wang et al. 10.5194/acp-21-7253-2021
78. Spatial and temporal variability in desert dust and anthropogenic pollution in Iraq, 1997–2010 A. Chudnovsky et al. 10.1080/10962247.2016.1153528
79. Comparing the Influences on NO2 Changes in Terms of Inter-Annual and Seasonal Variations in Different Regions of China: Meteorological and Anthropogenic Contributions X. Bai et al. 10.3390/rs17010121
80. Intercomparison of Pandora stratospheric NO2 slant column product with the NDACC-certified M07 spectrometer in Lauder, New Zealand T. Knepp et al. 10.5194/amt-10-4363-2017
81. The Ozone Water–Land Environmental Transition Study: An Innovative Strategy for Understanding Chesapeake Bay Pollution Events J. Sullivan et al. 10.1175/BAMS-D-18-0025.1
82. 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. 10.5194/acp-21-15631-2021
83. Spatiotemporal neural network for estimating surface NO2 concentrations over north China and their human health impact C. Zhang et al. 10.1016/j.envpol.2022.119510
84. A new mechanism for atmospheric mercury redox chemistry: implications for the global mercury budget H. Horowitz et al. 10.5194/acp-17-6353-2017
85. A Retrieval of Glyoxal from OMI over China: Investigation of the Effects of Tropospheric NO2 Y. Wang et al. 10.3390/rs11020137
86. Ozone response to precursors changes in the Chengdu-Chongqing economic circle, China, from satellite and ground-based observations J. Ren et al. 10.1016/j.scitotenv.2024.176037
87. High‐resolution NO2 observations from the Airborne Compact Atmospheric Mapper: Retrieval and validation L. Lamsal et al. 10.1002/2016JD025483
88. Statistics and Meteorology of Air Pollution Episodes over the South African Highveld Based on Satellite–Model Datasets M. Jury 10.1175/JAMC-D-16-0354.1
89. The Chemical Characteristics of Rainwater and Wet Atmospheric Deposition Fluxes at Two Urban Sites and One Rural Site in Côte d’Ivoire M. Kassamba-Diaby et al. 10.3390/atmos14050809
90. Modeling of spatial and temporal variations of ozone-NO -VOC sensitivity based on photochemical indicators in China X. Du et al. 10.1016/j.jes.2021.12.026
91. Chemical condition and surface ozone in large cities of Texas during the last decade: Observational evidence from OMI, CAMS, and model analysis Y. Choi & A. Souri 10.1016/j.rse.2015.06.026
92. Evaluation of version 3.0B of the BEHR OMI NO2 product J. Laughner et al. 10.5194/amt-12-129-2019
93. Technical note: Constraining the hydroxyl (OH) radical in the tropics with satellite observations of its drivers – first steps toward assessing the feasibility of a global observation strategy D. Anderson et al. 10.5194/acp-23-6319-2023
94. Comparison of OMI NO2 observations and their seasonal and weekly cycles with ground-based measurements in Helsinki I. Ialongo et al. 10.5194/amt-9-5203-2016
95. Estimation of Surface-Level NO2 Using Satellite Remote Sensing and Machine Learning: A review M. Siddique et al. 10.1109/MGRS.2024.3398434
96. Mechanistic representation of soil nitrogen emissions in the Community Multiscale Air Quality (CMAQ) model v 5.1 Q. Rasool et al. 10.5194/gmd-12-849-2019
97. Study on spatiotemporal distribution of the tropospheric NO2 column concentration in China and its relationship to energy consumption based on the time-series data from 2005 to 2013 C. Xu et al. 10.1080/15567036.2019.1607931
98. Towards a satellite formaldehyde – in situ hybrid estimate for organic aerosol abundance J. Liao et al. 10.5194/acp-19-2765-2019
99. Hybrid deep learning models for mapping surface NO2 across China: One complicated model, many simple models, or many complicated models? X. Liu et al. 10.1016/j.atmosres.2022.106339
100. Tropospheric emissions: Monitoring of pollution (TEMPO) P. Zoogman et al. 10.1016/j.jqsrt.2016.05.008
101. Satellite NO2 retrievals suggest China has exceeded its NOx reduction goals from the twelfth Five-Year Plan B. de Foy et al. 10.1038/srep35912
102. First-time comparison between NO2 vertical columns from Geostationary Environmental Monitoring Spectrometer (GEMS) and Pandora measurements S. Kim et al. 10.5194/amt-16-3959-2023
103. Remote sensing study of ozone, NO2, and CO: some contrary effects of SARS-CoV-2 lockdown over India P. Rawat & M. Naja 10.1007/s11356-021-17441-2
104. The version 3 OMI NO2 standard product N. Krotkov et al. 10.5194/amt-10-3133-2017
105. Nitrogen oxides in the free troposphere: implications for tropospheric oxidants and the interpretation of satellite NO2 measurements V. Shah et al. 10.5194/acp-23-1227-2023
106. A decade of changes in nitrogen oxides over regions of oil and natural gas activity in the United States A. Majid et al. 10.1525/elementa.259
107. Disentangling the Impact of the COVID‐19 Lockdowns on Urban NO2 From Natural Variability D. Goldberg et al. 10.1029/2020GL089269
108. 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. 10.5194/amt-13-6113-2020
109. Spatio-temporal characterization of tropospheric ozone and its precursor pollutants NO2 and HCHO over South Asia U. Baruah et al. 10.1016/j.scitotenv.2021.151135
110. Anthropogenic climate change drives melting of glaciers in the Himalaya S. Romshoo et al. 10.1007/s11356-022-19524-0
111. Assessment of the magnitude and recent trends in satellite-derived ground-level nitrogen dioxide over North America S. Kharol et al. 10.1016/j.atmosenv.2015.08.011
112. Spatiotemporal variation of surface ozone and its causes in Beijing, China since 2014 J. Ren et al. 10.1016/j.atmosenv.2021.118556
113. Spatiotemporal variations of tropospheric column nitrogen dioxide over Jing-Jin-Ji during the past decade Y. Hou et al. 10.1080/01431161.2018.1463115
114. Constraining NOx emissions using satellite NO2 measurements during 2013 DISCOVER-AQ Texas campaign A. Souri et al. 10.1016/j.atmosenv.2016.02.020
115. Summertime Aerosol Radiative Effects and Their Dependence on Temperature over the Southeastern USA T. Mielonen et al. 10.3390/atmos9050180
116. Effects of daily meteorology on the interpretation of space-based remote sensing of NO2 J. Laughner et al. 10.5194/acp-16-15247-2016
117. Spatial and temporal variability of ozone sensitivity over China observed from the Ozone Monitoring Instrument X. Jin & T. Holloway 10.1002/2015JD023250
118. Satellite observation of pollutant emissions from gas flaring activities near the Arctic C. Li et al. 10.1016/j.atmosenv.2016.03.019
119. Improved western U.S. background ozone estimates via constraining nonlocal and local source contributions using Aura TES and OMI observations M. Huang et al. 10.1002/2014JD022993
120. Trend reversal from source region to remote tropospheric NO2 columns X. Cai et al. 10.1007/s11356-021-16857-0
121. Satellite remote-sensing capability to assess tropospheric-column ratios of formaldehyde and nitrogen dioxide: case study during the Long Island Sound Tropospheric Ozone Study 2018 (LISTOS 2018) field campaign M. Johnson et al. 10.5194/amt-16-2431-2023
122. 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. 10.5194/acp-16-4631-2016
123. Validation of OMI HCHO Products Using MAX-DOAS observations from 2010 to 2016 in Xianghe, Beijing: Investigation of the Effects of Aerosols on Satellite Products Y. Wang et al. 10.3390/rs11020203
124. Evaluating the impact of spatial resolution on tropospheric NO2 column comparisons within urban areas using high-resolution airborne data L. Judd et al. 10.5194/amt-12-6091-2019
125. Tracking NO2 Pollution Changes Over Texas: Synthesis of In Situ and Satellite Observations M. Gyawali et al. 10.1029/2022JD037473
126. New Insights Into the Role of Atmospheric Transport and Mixing on Column and Surface Concentrations of NO2 at a Coastal Urban Site T. Adams et al. 10.1029/2022JD038237
127. Long-Term Variations of Meteorological and Precursor Influences on Ground Ozone Concentrations in Jinan, North China Plain, from 2010 to 2020 J. Sun et al. 10.3390/atmos13060994
128. Spaceborne tropospheric nitrogen dioxide (NO2) observations from 2005–2020 over the Yangtze River Delta (YRD), China: variabilities, implications, and drivers H. Yin et al. 10.5194/acp-22-4167-2022
129. Assessing Measurements of Pollution in the Troposphere (MOPITT) carbon monoxide retrievals over urban versus non-urban regions W. Tang et al. 10.5194/amt-13-1337-2020
130. Assessment of NO2 observations during DISCOVER-AQ and KORUS-AQ field campaigns S. Choi et al. 10.5194/amt-13-2523-2020
131. Spatiotemporal variability of tropospheric NO2 over four megacities in Southern Africa: Implications for transboundary regional air pollution N. Matandirotya & R. Burger 10.1016/j.envc.2021.100271
132. The Ozone Monitoring Instrument: overview of 14 years in space P. Levelt et al. 10.5194/acp-18-5699-2018
133. Comparison and Validation of TROPOMI and OMI NO2 Observations over China C. Wang et al. 10.3390/atmos11060636
134. Hybrid Deep Learning Models for Mapping Surface No2 Across China: One Complicated Model, Many Simple Models, or Many Complicated Models? X. Liu et al. 10.2139/ssrn.4065281
135. Environmental Degradation and Public Opinion: The Case of Air Pollution in Vietnam S. Kim et al. 10.1177/1070496519888252
136. BREATH-Net: a novel deep learning framework for NO2 prediction using bi-directional encoder with transformer A. Verma et al. 10.1007/s10661-024-12455-y
137. Machine learning-based estimation of ground-level NO2 concentrations over China Y. Chi et al. 10.1016/j.scitotenv.2021.150721
138. Estimates of power plant NOx emissions and lifetimes from OMI NO2 satellite retrievals B. de Foy et al. 10.1016/j.atmosenv.2015.05.056
139. A high-resolution and observationally constrained OMI NO2 satellite retrieval D. Goldberg et al. 10.5194/acp-17-11403-2017
140. Changes in satellite retrievals of atmospheric composition over eastern China during the 2020 COVID-19 lockdowns R. Field et al. 10.5194/acp-21-18333-2021
141. 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. 10.1021/acsearthspacechem.1c00057
142. Characterization of satellite-based proxies for estimating nucleation mode particles over South Africa A. Sundström et al. 10.5194/acp-15-4983-2015
143. Estimation of ground-level NO2 and its spatiotemporal variations in China using GEMS measurements and a nested machine learning model N. Ahmad et al. 10.5194/acp-24-9645-2024
144. Inferring Changes in Summertime Surface Ozone–NOx–VOC Chemistry over U.S. Urban Areas from Two Decades of Satellite and Ground-Based Observations X. Jin et al. 10.1021/acs.est.9b07785
145. Structural uncertainty in air mass factor calculation for NO2 and HCHO satellite retrievals A. Lorente et al. 10.5194/amt-10-759-2017
146. Inferring and evaluating satellite-based constraints on NOx emissions estimates in air quality simulations J. East et al. 10.5194/acp-22-15981-2022
147. Evolution of ozone formation regimes during different periods in representative regions of China J. Zhang et al. 10.1016/j.atmosenv.2024.120830
148. Enhanced representation of soil NO emissions in the Community Multiscale Air Quality (CMAQ) model version 5.0.2 Q. Rasool et al. 10.5194/gmd-9-3177-2016
149. Influence of satellite-derived photolysis rates and NOx emissions on Texas ozone modeling W. Tang et al. 10.5194/acp-15-1601-2015
150. 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. 10.5194/amt-16-481-2023
151. Identifying missing sources and reducing NOx emissions uncertainty over China using daily satellite data and a mass-conserving method L. Lu et al. 10.5194/acp-25-2291-2025
152. Meteorological Drivers of Atmospheric Mercury Seasonality in the Temperate Northern Hemisphere Z. Xu et al. 10.1029/2022GL100120
153. Climate trends in the East Antilles Islands M. Jury & D. Bernard 10.1002/joc.6191
154. Using satellite observations of tropospheric NO2 columns to infer long-term trends in US NOx emissions: the importance of accounting for the free tropospheric NO2 background R. Silvern et al. 10.5194/acp-19-8863-2019
155. Underestimation of column NO2 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
156. NO2 retrievals from NOAA-20 OMPS: Algorithm, evaluation, and observations of drastic changes during COVID-19 X. Huang et al. 10.1016/j.atmosenv.2022.119367
157. 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. 10.5194/amt-14-2857-2021
158. Spatial and temporal variation of nitrogen dioxide measurement in the Middle East within 2005–2014 M. Mansouri Daneshvar & N. Hussein Abadi 10.1007/s40808-017-0293-0
159. Ozone Continues to Increase in East Asia Despite Decreasing NO2: Causes and Abatements H. Lee et al. 10.3390/rs13112177
160. Estimating Ground-Level Ozone Concentrations in Eastern China Using Satellite-Based Precursors X. Zhang et al. 10.1109/TGRS.2020.2966780
161. 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. 10.1029/2023JD039310
162. Validation of tropospheric NO2 column measurements of GOME-2A and OMI using MAX-DOAS and direct sun network observations G. Pinardi et al. 10.5194/amt-13-6141-2020
163. Two Air Quality Regimes in Total Column NO2 Over the Gulf of Mexico in May 2019: Shipboard and Satellite Views A. Thompson et al. 10.1029/2022EA002473
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166. Evaluating NOx emission inventories for regulatory air quality modeling using satellite and air quality model data S. Kemball-Cook et al. 10.1016/j.atmosenv.2015.07.002