141 citations as recorded by crossref.

1. MAX-DOAS measurements of tropospheric NO2 and HCHO in Nanjing and a comparison to ozone monitoring instrument observations K. Chan et al. https://doi.org/10.5194/acp-19-10051-2019
2. Global retrieval of TROPOMI tropospheric HCHO and NO2 columns with improved consistency based on the updated Peking University OMI NO2 algorithm Y. Zhang et al. https://doi.org/10.5194/amt-18-1561-2025
3. NOx emission estimates during the 2014 Youth Olympic Games in Nanjing J. Ding et al. https://doi.org/10.5194/acp-15-9399-2015
4. Space-based NOx emission estimates over remote regions improved in DECSO J. Ding et al. https://doi.org/10.5194/amt-10-925-2017
5. 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
6. High natural nitric oxide emissions from lakes on Tibetan Plateau under rapid warming H. Kong et al. https://doi.org/10.1038/s41561-023-01200-8
7. A paradox for air pollution controlling in China revealed by “APEC Blue” and “Parade Blue” H. Liu et al. https://doi.org/10.1038/srep34408
8. Substantial Underestimation of Post-Harvest Burning Emissions in the North China Plain Revealed by Multi-Species Space Observations T. Stavrakou et al. https://doi.org/10.1038/srep32307
9. Declining dry deposition of NO2 and SO2 with diverse spatiotemporal patterns in China from 2013 to 2018 K. Zhou et al. https://doi.org/10.1016/j.atmosenv.2021.118655
10. Comparing OMI-based and EPA AQS in situ NO2 trends: towards understanding surface NOx emission changes R. Zhang et al. https://doi.org/10.5194/amt-11-3955-2018
11. Remote sensing evidence of decadal changes in major tropospheric ozone precursors over East Asia A. Souri et al. https://doi.org/10.1002/2016JD025663
12. High-resolution mapping of SO2 using airborne observations from the GeoTASO instrument during the KORUS-AQ field study: PCA-based vertical column retrievals H. Chong et al. https://doi.org/10.1016/j.rse.2020.111725
13. Impacts of urban expansion on meteorology and air quality in North China Plain during wintertime: A case study Q. Jiang et al. https://doi.org/10.1016/j.uclim.2023.101696
14. 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
15. Aerosol optical depths and their contributing sources in Taiwan K. Chan & K. Chan https://doi.org/10.1016/j.atmosenv.2016.11.011
16. Contrasting impacts of policy interventions and population mobility on organic aerosols and oxygenated volatile organic compounds in Beijing Y. Zhang et al. https://doi.org/10.1016/j.envpol.2026.128408
17. Global fine-scale changes in ambient NO2 during COVID-19 lockdowns M. Cooper et al. https://doi.org/10.1038/s41586-021-04229-0
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. An improved TROPOMI tropospheric NO2 research product over Europe S. Liu et al. https://doi.org/10.5194/amt-14-7297-2021
20. Development and characterisation of a state-of-the-art GOME-2 formaldehyde air-mass factor algorithm W. Hewson et al. https://doi.org/10.5194/amt-8-4055-2015
21. Rapid growth in nitrogen dioxide pollution over Western China, 2005–2013 Y. Cui et al. https://doi.org/10.5194/acp-16-6207-2016
22. An improved total and tropospheric NO2 column retrieval for GOME-2 S. Liu et al. https://doi.org/10.5194/amt-12-1029-2019
23. Long-term MAX-DOAS network observations of NO2 in Russia and Asia (MADRAS) during the period 2007–2012: instrumentation, elucidation of climatology, and comparisons with OMI satellite observations and global model simulations Y. Kanaya et al. https://doi.org/10.5194/acp-14-7909-2014
24. 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
25. 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
26. A research product for tropospheric NO2 columns from Geostationary Environment Monitoring Spectrometer based on Peking University OMI NO2 algorithm Y. Zhang et al. https://doi.org/10.5194/amt-16-4643-2023
27. Improved Satellite Retrieval of Tropospheric NO2 Column Density via Updating of Air Mass Factor (AMF): Case Study of Southern China H. Mak et al. https://doi.org/10.3390/rs10111789
28. Enhanced ozone pollution in the summer of 2022 in China: The roles of meteorology and emission variations H. Zheng et al. https://doi.org/10.1016/j.atmosenv.2023.119701
29. Development of a custom OMI NO2 data product for evaluating biases in a regional chemistry transport model G. Kuhlmann et al. https://doi.org/10.5194/acp-15-5627-2015
30. Ozone Monitoring Instrument (OMI) Aura nitrogen dioxide standard product version 4.0 with improved surface and cloud treatments L. Lamsal et al. https://doi.org/10.5194/amt-14-455-2021
31. 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
32. MAX-DOAS NO2 observations over Guangzhou, China; ground-based and satellite comparisons T. Drosoglou et al. https://doi.org/10.5194/amt-11-2239-2018
33. New concepts for the comparison of tropospheric NO2 column densities derived from car-MAX-DOAS observations, OMI satellite observations and the regional model CHIMERE during two MEGAPOLI campaigns in Paris 2009/10 R. Shaiganfar et al. https://doi.org/10.5194/amt-8-2827-2015
34. The global daily High Spatial–Temporal Coverage Merged tropospheric NO2 dataset (HSTCM-NO2) from 2007 to 2022 based on OMI and GOME-2 K. Qin et al. https://doi.org/10.5194/essd-16-5287-2024
35. Large vertical gradient of reactive nitrogen oxides in the boundary layer: Modeling analysis of DISCOVER‐AQ 2011 observations Y. Zhang et al. https://doi.org/10.1002/2015JD024203
36. Measurement report: Long-term variations in surface NOx and SO2 mixing ratios from 2006 to 2016 at a background site in the Yangtze River Delta region, China Q. Yin et al. https://doi.org/10.5194/acp-22-1015-2022
37. An optimal-estimation-based aerosol retrieval algorithm using OMI near-UV observations U. Jeong et al. https://doi.org/10.5194/acp-16-177-2016
38. Utilization of O4 slant column density to derive aerosol layer height from a space-borne UV–visible hyperspectral sensor: sensitivity and case study S. Park et al. https://doi.org/10.5194/acp-16-1987-2016
39. Satellite-based estimation of surface NO2 concentrations over east-central China: A comparison of POMINO and OMNO2d data K. Qin et al. https://doi.org/10.1016/j.atmosenv.2020.117322
40. Atmospheric nitrogen deposition to the northwestern Pacific: seasonal variation and source attribution Y. Zhao et al. https://doi.org/10.5194/acp-15-10905-2015
41. Clear-sky aerosol optical depth over East China estimated from visibility measurements and chemical transport modeling J. Lin et al. https://doi.org/10.1016/j.atmosenv.2014.06.044
42. Lagged Effects of Exposure to Air Pollutants on the Risk of Pulmonary Tuberculosis in a Highly Polluted Region Y. Feng et al. https://doi.org/10.3390/ijerph19095752
43. Biomass burning nitrogen dioxide emissions derived from space with TROPOMI: methodology and validation D. Griffin et al. https://doi.org/10.5194/amt-14-7929-2021
44. Space-Based Observations of Ozone Precursors within California Wildfire Plumes and the Impacts on Ozone-NOx-VOC Chemistry X. Jin et al. https://doi.org/10.1021/acs.est.3c04411
45. The Ozone Monitoring Instrument: overview of 14 years in space P. Levelt et al. https://doi.org/10.5194/acp-18-5699-2018
46. Comparison of tropospheric NO2 columns from MAX-DOAS retrievals and regional air quality model simulations A. Blechschmidt et al. https://doi.org/10.5194/acp-20-2795-2020
47. Satellite NO2 Retrieval Complicated by Aerosol Composition over Global Urban Agglomerations: Seasonal Variations and Long-Term Trends (2001–2018) S. Liu et al. https://doi.org/10.1021/acs.est.3c02111
48. Using a New Top‐Down Constrained Emissions Inventory to Attribute the Previously Unknown Source of Extreme Aerosol Loadings Observed Annually in the Monsoon Asia Free Troposphere S. Wang et al. https://doi.org/10.1029/2021EF002167
49. 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. https://doi.org/10.3390/rs11020203
50. A Physically Constrained Deep-Learning Fusion Method for Estimating Surface NO2 Concentration from Satellite and Ground Monitors J. Xing et al. https://doi.org/10.1021/acs.est.4c07341
51. Observations of the vertical distributions of summertime atmospheric pollutants and the corresponding ozone production in Shanghai, China C. Xing et al. https://doi.org/10.5194/acp-17-14275-2017
52. 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. https://doi.org/10.5194/amt-9-359-2016
53. 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
54. Comparison and evaluation of anthropogenic emissions of SO2 and NOx over China M. Li et al. https://doi.org/10.5194/acp-18-3433-2018
55. Development of a high-resolution emission inventory and its evaluation and application through air quality modeling for Jiangsu Province, China Y. Zhou et al. https://doi.org/10.5194/acp-17-211-2017
56. 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. https://doi.org/10.5194/amt-12-5593-2019
57. Rapid increases in ozone concentrations over the Tibetan Plateau caused by local and non-local factors C. Xu et al. https://doi.org/10.5194/acp-25-9545-2025
58. Improving algorithms and uncertainty estimates for satellite NO2 retrievals: results from the quality assurance for the essential climate variables (QA4ECV) project K. Boersma et al. https://doi.org/10.5194/amt-11-6651-2018
59. A new TROPOMI product for tropospheric NO2 columns over East Asia with explicit aerosol corrections M. Liu et al. https://doi.org/10.5194/amt-13-4247-2020
60. Description of a formaldehyde retrieval algorithm for the Geostationary Environment Monitoring Spectrometer (GEMS) H. Kwon et al. https://doi.org/10.5194/amt-12-3551-2019
61. 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 https://doi.org/10.3390/rs13101877
62. Global Formaldehyde Products From the Ozone Mapping and Profiler Suite (OMPS) Nadir Mappers on Suomi NPP and NOAA‐20 C. Nowlan et al. https://doi.org/10.1029/2022EA002643
63. Retrieval of pseudo-BRDF-adjusted surface reflectance at 440 nm from the Geostationary Environmental Monitoring Spectrometer (GEMS) S. Sim et al. https://doi.org/10.5194/amt-17-5601-2024
64. Evaluating a Space‐Based Indicator of Surface Ozone‐NOx‐VOC Sensitivity Over Midlatitude Source Regions and Application to Decadal Trends X. Jin et al. https://doi.org/10.1002/2017JD026720
65. 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
66. Analysis of long-term (2005–2018) trends in tropospheric NO2 percentiles over Northeast Asia G. Choo et al. https://doi.org/10.1016/j.apr.2020.05.012
67. Spatially and temporally coherent reconstruction of tropospheric NO2 over China combining OMI and GOME-2B measurements Q. He et al. https://doi.org/10.1088/1748-9326/abc7df
68. Explicit Aerosol Correction of OMI Formaldehyde Retrievals Y. Jung et al. https://doi.org/10.1029/2019EA000702
69. 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
70. Applying FP_ILM to the retrieval of geometry-dependent effective Lambertian equivalent reflectivity (GE_LER) daily maps from UVN satellite measurements D. Loyola et al. https://doi.org/10.5194/amt-13-985-2020
71. Structural uncertainty in air mass factor calculation for NO2 and HCHO satellite retrievals A. Lorente et al. https://doi.org/10.5194/amt-10-759-2017
72. The version 3 OMI NO2 standard product N. Krotkov et al. https://doi.org/10.5194/amt-10-3133-2017
73. 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. https://doi.org/10.5194/amt-10-333-2017
74. Assessing NO2 Concentration and Model Uncertainty with High Spatiotemporal Resolution across the Contiguous United States Using Ensemble Model Averaging Q. Di et al. https://doi.org/10.1021/acs.est.9b03358
75. High‐Resolution Mapping of Nitrogen Dioxide With TROPOMI: First Results and Validation Over the Canadian Oil Sands D. Griffin et al. https://doi.org/10.1029/2018GL081095
76. Impact of precursor gases and meteorological variables on satellite-estimated near-surface sulfate and nitrate concentrations over the North China Plain Y. Si et al. https://doi.org/10.1016/j.atmosenv.2018.11.030
77. COVID‐19 Induced Fingerprints of a New Normal Urban Air Quality in the United States S. Kondragunta et al. https://doi.org/10.1029/2021JD034797
78. 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
79. Intra-pixel variability in satellite tropospheric NO2 column densities derived from simultaneous space-borne and airborne observations over the South African Highveld S. Broccardo et al. https://doi.org/10.5194/amt-11-2797-2018
80. Impact of spatial proxies on the representation of bottom-up emission inventories: A satellite-based analysis G. Geng et al. https://doi.org/10.5194/acp-17-4131-2017
81. Langley Calibration Analysis of Solar Spectroradiometric Measurements: Spectral Aerosol Optical Thickness Retrievals U. Jeong et al. https://doi.org/10.1002/2017JD028262
82. Application of a combined standard deviation and mean based approach to MOPITT CO column data, and resulting improved representation of biomass burning and urban air pollution sources C. Lin et al. https://doi.org/10.1016/j.rse.2020.111720
83. Benefits of China's efforts in gaseous pollutant control indicated by the bottom-up emissions and satellite observations 2000–2014 Y. Xia et al. https://doi.org/10.1016/j.atmosenv.2016.04.013
84. Assessment of a high-resolution NOX emission inventory using satellite observations: A case study of southern Jiangsu, China Y. Zhao et al. https://doi.org/10.1016/j.atmosenv.2018.07.029
85. Self-supervised accurate remote sensing atmospheric missing data reconstruction: a masked auto-encoder solution J. Zhao et al. https://doi.org/10.1080/01431161.2025.2518508
86. 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
87. Estimating global surface ammonia concentrations inferred from satellite retrievals L. Liu et al. https://doi.org/10.5194/acp-19-12051-2019
88. NO2 Retrieval from the Environmental Trace Gases Monitoring Instrument (EMI): Preliminary Results and Intercomparison with OMI and TROPOMI L. Cheng et al. https://doi.org/10.3390/rs11243017
89. Validation of tropospheric NO2 column measurements of GOME-2A and OMI using MAX-DOAS and direct sun network observations G. Pinardi et al. https://doi.org/10.5194/amt-13-6141-2020
90. Declining short-term emission control opportunity for major events in Chinese cities H. Wang et al. https://doi.org/10.1038/s44284-025-00233-x
91. High‐resolution NO2 observations from the Airborne Compact Atmospheric Mapper: Retrieval and validation L. Lamsal et al. https://doi.org/10.1002/2016JD025483
92. 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
93. Constraints on Asian ozone using Aura TES, OMI and Terra MOPITT Z. Jiang et al. https://doi.org/10.5194/acp-15-99-2015
94. Advances in Atmospheric Radiation: Theories, Models, and Their Applications. Part II: Radiative Transfer Models and Related Applications H. Zhang et al. https://doi.org/10.1007/s13351-024-3089-y
95. Effect of changing NOx lifetime on the seasonality and long-term trends of satellite-observed tropospheric NO2 columns over China V. Shah et al. https://doi.org/10.5194/acp-20-1483-2020
96. The high-resolution version of TM5-MP for optimized satellite retrievals: description and validation J. Williams et al. https://doi.org/10.5194/gmd-10-721-2017
97. Increasing Ammonia Concentrations Reduce the Effectiveness of Particle Pollution Control Achieved via SO2 and NOX Emissions Reduction in East China X. Fu et al. https://doi.org/10.1021/acs.estlett.7b00143
98. Comparing Sentinel-5P TROPOMI NO2 column observations with the CAMS regional air quality ensemble J. Douros et al. https://doi.org/10.5194/gmd-16-509-2023
99. 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
100. Study of aerosol characteristics and sources using MAX-DOAS measurement during haze at an urban site in the Fenwei Plain X. Li et al. https://doi.org/10.1016/j.jes.2020.12.015
101. Minimizing aerosol effects on the OMI tropospheric NO2 retrieval – An improved use of the 477 nm O2 − O2 band and an estimation of the aerosol correction uncertainty J. Chimot et al. https://doi.org/10.5194/amt-12-491-2019
102. Urgency of controlling agricultural nitrogen sources to alleviate summertime air pollution in the North China Plain R. Wang et al. https://doi.org/10.1016/j.chemosphere.2022.137124
103. DeepSAT4D: Deep learning empowers four-dimensional atmospheric chemical concentration and emission retrieval from satellite S. Li & J. Xing https://doi.org/10.59717/j.xinn-geo.2024.100061
104. A Hybrid Regression–Kriging–Machine Learning Framework for Imputing Missing TROPOMI NO2 Data over Taiwan A. Valerio et al. https://doi.org/10.3390/rs17122084
105. Fire-driven formaldehyde enhancement and population health burden revealed by TROPOMI in the contiguous U.S. J. Shen et al. https://doi.org/10.1088/1748-9326/ae3788
106. 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
107. Assessment of satellite-estimated near-surface sulfate and nitrate concentrations and their precursor emissions over China from 2006 to 2014 Y. Si et al. https://doi.org/10.1016/j.scitotenv.2019.02.180
108. Effects of green total factor energy efficiency on industrial NOx emission abatement: based on SBM-ML and spatial durbin model for 257 prefecture-level cities in China Y. Song et al. https://doi.org/10.1007/s10668-026-07346-w
109. 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
110. Long-term (2006–2015) variations and relations of multiple atmospheric pollutants based on multi-remote sensing data over the North China Plain Y. Si et al. https://doi.org/10.1016/j.envpol.2019.113323
111. Evaluating the methods and influencing factors of satellite-derived estimates of NOX emissions at regional scale: A case study for Yangtze River Delta, China Y. Yang et al. https://doi.org/10.1016/j.atmosenv.2019.117051
112. MAX-DOAS measurements of tropospheric NO2 and HCHO in Munich and the comparison to OMI and TROPOMI satellite observations K. Chan et al. https://doi.org/10.5194/amt-13-4499-2020
113. An exploratory study on the aerosol height retrieval from OMI measurements of the 477  nm O2 − O2 spectral band using a neural network approach J. Chimot et al. https://doi.org/10.5194/amt-10-783-2017
114. Observations of tropospheric aerosols and NO2 in Hong Kong over 5 years using ground based MAX-DOAS K. Chan et al. https://doi.org/10.1016/j.scitotenv.2017.10.153
115. 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
116. Monitoring fossil fuel CO2 emissions from co-emitted NO2 observed from space: progress, challenges, and future perspectives H. Li et al. https://doi.org/10.1007/s11783-025-1922-x
117. A kriging-calibrated machine learning method for estimating daily ground-level NO2 in mainland China Z. Chen et al. https://doi.org/10.1016/j.scitotenv.2019.06.349
118. The Effect of Aerosols to Climate Change and Society B. Zhang https://doi.org/10.4236/gep.2020.88006
119. Sulfur emissions from consumption by developed and developing countries produce comparable climate impacts J. Lin et al. https://doi.org/10.1038/s41561-022-00898-2
120. Modelling organic aerosol concentrations and properties during ChArMEx summer campaigns of 2012 and 2013 in the western Mediterranean region M. Chrit et al. https://doi.org/10.5194/acp-17-12509-2017
121. Satellite detected weak decline of nitrogen oxides emissions in economically small cities of China H. Kong et al. https://doi.org/10.1088/1748-9326/ade170
122. Observations of tropospheric NO 2 using ground based MAX-DOAS and OMI measurements during the Shanghai World Expo 2010 K. Chan et al. https://doi.org/10.1016/j.atmosenv.2015.08.041
123. 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
124. A model investigation into the atmospheric NOy chemistry in remote continental Asia K. Han et al. https://doi.org/10.1016/j.atmosenv.2019.116817
125. 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
126. Considerable Unaccounted Local Sources of NOx Emissions in China Revealed from Satellite H. Kong et al. https://doi.org/10.1021/acs.est.1c07723
127. 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
128. A Retrieval of Glyoxal from OMI over China: Investigation of the Effects of Tropospheric NO2 Y. Wang et al. https://doi.org/10.3390/rs11020137
129. 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
130. MAX-DOAS observations of aerosols, formaldehyde and nitrogen dioxide in the Beijing area: comparison of two profile retrieval approaches T. Vlemmix et al. https://doi.org/10.5194/amt-8-941-2015
131. Algorithm theoretical baseline for formaldehyde retrievals from S5P TROPOMI and from the QA4ECV project I. De Smedt et al. https://doi.org/10.5194/amt-11-2395-2018
132. 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
133. Spatiotemporal dynamics of nitrogen dioxide pollution and urban development: Satellite observations over China, 2005–2016 Y. Cui et al. https://doi.org/10.1016/j.resconrec.2018.11.015
134. Improvement of the satellite-derived NOx emissions on air quality modeling and its effect on ozone and secondary inorganic aerosol formation in the Yangtze River Delta, China Y. Yang et al. https://doi.org/10.5194/acp-21-1191-2021
135. The importance of surface reflectance anisotropy for cloud and NO2 retrievals from GOME-2 and OMI A. Lorente et al. https://doi.org/10.5194/amt-11-4509-2018
136. Investigations of spatial-temporal distribution and regional transport in typical section of NO2 in eastern China using Mobile-DOAS Z. Zhang et al. https://doi.org/10.1016/j.scitotenv.2025.179174
137. 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
138. Driving factors of ship-induced nitrogen dioxide concentrations over coastal seas of China: Implications for ship emission management Y. Zhang et al. https://doi.org/10.1016/j.jenvman.2024.123894
139. Development of PM2.5 and NO2 models in a LUR framework incorporating satellite remote sensing and air quality model data in Pearl River Delta region, China X. Yang et al. https://doi.org/10.1016/j.envpol.2017.03.079
140. Ground-based validation of the Copernicus Sentinel-5P TROPOMI NO2 measurements with the NDACC ZSL-DOAS, MAX-DOAS and Pandonia global networks T. Verhoelst et al. https://doi.org/10.5194/amt-14-481-2021
141. Tropospheric nitrogen dioxide column retrieval from ground-based zenith–sky DOAS observations F. Tack et al. https://doi.org/10.5194/amt-8-2417-2015