125 citations as recorded by crossref.

1. MAX-DOAS measurements of tropospheric NO<sub>2</sub> and HCHO in Nanjing and a comparison to ozone monitoring instrument observations K. Chan et al. 10.5194/acp-19-10051-2019
2. NO<sub><i>x</i></sub> emission estimates during the 2014 Youth Olympic Games in Nanjing J. Ding et al. 10.5194/acp-15-9399-2015
3. Space-based NO<sub><i>x</i></sub> emission estimates over remote regions improved in DECSO J. Ding et al. 10.5194/amt-10-925-2017
4. Validation of OMI, GOME-2A and GOME-2B tropospheric NO<sub>2</sub>, SO<sub>2</sub> 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. 10.5194/acp-17-5007-2017
5. High natural nitric oxide emissions from lakes on Tibetan Plateau under rapid warming H. Kong et al. 10.1038/s41561-023-01200-8
6. A paradox for air pollution controlling in China revealed by “APEC Blue” and “Parade Blue” H. Liu et al. 10.1038/srep34408
7. Substantial Underestimation of Post-Harvest Burning Emissions in the North China Plain Revealed by Multi-Species Space Observations T. Stavrakou et al. 10.1038/srep32307
8. Declining dry deposition of NO2 and SO2 with diverse spatiotemporal patterns in China from 2013 to 2018 K. Zhou et al. 10.1016/j.atmosenv.2021.118655
9. Comparing OMI-based and EPA AQS in situ NO<sub>2</sub> trends: towards understanding surface NO<sub><i>x</i></sub> emission changes R. Zhang et al. 10.5194/amt-11-3955-2018
10. Remote sensing evidence of decadal changes in major tropospheric ozone precursors over East Asia A. Souri et al. 10.1002/2016JD025663
11. 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. 10.1016/j.rse.2020.111725
12. Impacts of urban expansion on meteorology and air quality in North China Plain during wintertime: A case study Q. Jiang et al. 10.1016/j.uclim.2023.101696
13. Aerosol optical depths and their contributing sources in Taiwan K. Chan & K. Chan 10.1016/j.atmosenv.2016.11.011
14. Global fine-scale changes in ambient NO2 during COVID-19 lockdowns M. Cooper et al. 10.1038/s41586-021-04229-0
15. High-resolution (0.05°  ×  0.05°) NO<sub><i>x</i></sub> emissions in the Yangtze River Delta inferred from OMI H. Kong et al. 10.5194/acp-19-12835-2019
16. An improved TROPOMI tropospheric NO<sub>2</sub> research product over Europe S. Liu et al. 10.5194/amt-14-7297-2021
17. Development and characterisation of a state-of-the-art GOME-2 formaldehyde air-mass factor algorithm W. Hewson et al. 10.5194/amt-8-4055-2015
18. Rapid growth in nitrogen dioxide pollution over Western China, 2005–2013 Y. Cui et al. 10.5194/acp-16-6207-2016
19. An improved total and tropospheric NO<sub>2</sub> column retrieval for GOME-2 S. Liu et al. 10.5194/amt-12-1029-2019
20. Long-term MAX-DOAS network observations of NO<sub>2</sub> 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. 10.5194/acp-14-7909-2014
21. Evaluation of modeling NO<sub>2</sub> concentrations driven by satellite-derived and bottom-up emission inventories using in situ measurements over China F. Liu et al. 10.5194/acp-18-4171-2018
22. 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
23. Satellite‐Observed Changes in Mexico's Offshore Gas Flaring Activity Linked to Oil/Gas Regulations Y. Zhang et al. 10.1029/2018GL081145
24. New Era of Air Quality Monitoring from Space: Geostationary Environment Monitoring Spectrometer (GEMS) J. Kim et al. 10.1175/BAMS-D-18-0013.1
25. A research product for tropospheric NO2 columns from Geostationary Environment Monitoring Spectrometer based on Peking University OMI NO2 algorithm Y. Zhang et al. 10.5194/amt-16-4643-2023
26. Improved Satellite Retrieval of Tropospheric NO2 Column Density via Updating of Air Mass Factor (AMF): Case Study of Southern China H. Mak et al. 10.3390/rs10111789
27. Enhanced ozone pollution in the summer of 2022 in China: The roles of meteorology and emission variations H. Zheng et al. 10.1016/j.atmosenv.2023.119701
28. Development of a custom OMI NO<sub>2</sub> data product for evaluating biases in a regional chemistry transport model G. Kuhlmann et al. 10.5194/acp-15-5627-2015
29. 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
30. Satellite observations indicate substantial spatiotemporal variability in biomass burning NO<sub>x</sub> emission factors for South America P. Castellanos et al. 10.5194/acp-14-3929-2014
31. MAX-DOAS NO<sub>2</sub> observations over Guangzhou, China; ground-based and satellite comparisons T. Drosoglou et al. 10.5194/amt-11-2239-2018
32. New concepts for the comparison of tropospheric NO<sub>2</sub> 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. 10.5194/amt-8-2827-2015
33. Large vertical gradient of reactive nitrogen oxides in the boundary layer: Modeling analysis of DISCOVER‐AQ 2011 observations Y. Zhang et al. 10.1002/2015JD024203
34. Measurement report: Long-term variations in surface NO<sub><i>x</i></sub> and SO<sub>2</sub> mixing ratios from 2006 to 2016 at a background site in the Yangtze River Delta region, China Q. Yin et al. 10.5194/acp-22-1015-2022
35. An optimal-estimation-based aerosol retrieval algorithm using OMI near-UV observations U. Jeong et al. 10.5194/acp-16-177-2016
36. Utilization of O<sub>4</sub> slant column density to derive aerosol layer height from a space-borne UV–visible hyperspectral sensor: sensitivity and case study S. Park et al. 10.5194/acp-16-1987-2016
37. Satellite-based estimation of surface NO2 concentrations over east-central China: A comparison of POMINO and OMNO2d data K. Qin et al. 10.1016/j.atmosenv.2020.117322
38. Atmospheric nitrogen deposition to the northwestern Pacific: seasonal variation and source attribution Y. Zhao et al. 10.5194/acp-15-10905-2015
39. Clear-sky aerosol optical depth over East China estimated from visibility measurements and chemical transport modeling J. Lin et al. 10.1016/j.atmosenv.2014.06.044
40. Lagged Effects of Exposure to Air Pollutants on the Risk of Pulmonary Tuberculosis in a Highly Polluted Region Y. Feng et al. 10.3390/ijerph19095752
41. Biomass burning nitrogen dioxide emissions derived from space with TROPOMI: methodology and validation D. Griffin et al. 10.5194/amt-14-7929-2021
42. Space-Based Observations of Ozone Precursors within California Wildfire Plumes and the Impacts on Ozone-NOx-VOC Chemistry X. Jin et al. 10.1021/acs.est.3c04411
43. The Ozone Monitoring Instrument: overview of 14 years in space P. Levelt et al. 10.5194/acp-18-5699-2018
44. Comparison of tropospheric NO<sub>2</sub> columns from MAX-DOAS retrievals and regional air quality model simulations A. Blechschmidt et al. 10.5194/acp-20-2795-2020
45. Satellite NO2 Retrieval Complicated by Aerosol Composition over Global Urban Agglomerations: Seasonal Variations and Long-Term Trends (2001–2018) S. Liu et al. 10.1021/acs.est.3c02111
46. 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. 10.1029/2021EF002167
47. 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
48. Observations of the vertical distributions of summertime atmospheric pollutants and the corresponding ozone production in Shanghai, China C. Xing et al. 10.5194/acp-17-14275-2017
49. Impact of aerosols on the OMI tropospheric NO<sub>2</sub> 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
50. 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
51. Comparison and evaluation of anthropogenic emissions of SO<sub>2</sub> and NO<sub><i>x</i></sub> over China M. Li et al. 10.5194/acp-18-3433-2018
52. Development of a high-resolution emission inventory and its evaluation and application through air quality modeling for Jiangsu Province, China Y. Zhou et al. 10.5194/acp-17-211-2017
53. Underestimation of column NO<sub>2</sub> amounts from the OMI satellite compared to diurnally varying ground-based retrievals from multiple PANDORA spectrometer instruments J. Herman et al. 10.5194/amt-12-5593-2019
54. An Observation‐Based Correction for Aerosol Effects on Nitrogen Dioxide Column Retrievals Using the Absorbing Aerosol Index M. Cooper et al. 10.1029/2019GL083673
55. Improving algorithms and uncertainty estimates for satellite NO<sub>2</sub> retrievals: results from the quality assurance for the essential climate variables (QA4ECV) project K. Boersma et al. 10.5194/amt-11-6651-2018
56. A new TROPOMI product for tropospheric NO<sub>2</sub> columns over East Asia with explicit aerosol corrections M. Liu et al. 10.5194/amt-13-4247-2020
57. Description of a formaldehyde retrieval algorithm for the Geostationary Environment Monitoring Spectrometer (GEMS) H. Kwon et al. 10.5194/amt-12-3551-2019
58. Assessment of Tropospheric Concentrations of NO2 from the TROPOMI/Sentinel-5 Precursor for the Estimation of Long-Term Exposure to Surface NO2 over South Korea U. Jeong & H. Hong 10.3390/rs13101877
59. Global Formaldehyde Products From the Ozone Mapping and Profiler Suite (OMPS) Nadir Mappers on Suomi NPP and NOAA‐20 C. Nowlan et al. 10.1029/2022EA002643
60. 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
61. Global high-resolution simulations of tropospheric nitrogen dioxide using CHASER V4.0 T. Sekiya et al. 10.5194/gmd-11-959-2018
62. Analysis of long-term (2005–2018) trends in tropospheric NO2 percentiles over Northeast Asia G. Choo et al. 10.1016/j.apr.2020.05.012
63. Spatially and temporally coherent reconstruction of tropospheric NO2 over China combining OMI and GOME-2B measurements Q. He et al. 10.1088/1748-9326/abc7df
64. Explicit Aerosol Correction of OMI Formaldehyde Retrievals Y. Jung et al. 10.1029/2019EA000702
65. 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
66. 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. 10.5194/amt-13-985-2020
67. Structural uncertainty in air mass factor calculation for NO<sub>2</sub> and HCHO satellite retrievals A. Lorente et al. 10.5194/amt-10-759-2017
68. The version 3 OMI NO<sub>2</sub> standard product N. Krotkov et al. 10.5194/amt-10-3133-2017
69. 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
70. Assessing NO2 Concentration and Model Uncertainty with High Spatiotemporal Resolution across the Contiguous United States Using Ensemble Model Averaging Q. Di et al. 10.1021/acs.est.9b03358
71. High‐Resolution Mapping of Nitrogen Dioxide With TROPOMI: First Results and Validation Over the Canadian Oil Sands D. Griffin et al. 10.1029/2018GL081095
72. 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. 10.1016/j.atmosenv.2018.11.030
73. COVID‐19 Induced Fingerprints of a New Normal Urban Air Quality in the United States S. Kondragunta et al. 10.1029/2021JD034797
74. Influence of aerosols and surface reflectance on satellite NO<sub>2</sub> retrieval: seasonal and spatial characteristics and implications for NO<sub><i>x</i></sub> emission constraints J. Lin et al. 10.5194/acp-15-11217-2015
75. Intra-pixel variability in satellite tropospheric NO<sub>2</sub> column densities derived from simultaneous space-borne and airborne observations over the South African Highveld S. Broccardo et al. 10.5194/amt-11-2797-2018
76. Impact of spatial proxies on the representation of bottom-up emission inventories: A satellite-based analysis G. Geng et al. 10.5194/acp-17-4131-2017
77. Langley Calibration Analysis of Solar Spectroradiometric Measurements: Spectral Aerosol Optical Thickness Retrievals U. Jeong et al. 10.1002/2017JD028262
78. 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. 10.1016/j.rse.2020.111720
79. Benefits of China's efforts in gaseous pollutant control indicated by the bottom-up emissions and satellite observations 2000–2014 Y. Xia et al. 10.1016/j.atmosenv.2016.04.013
80. Assessment of a high-resolution NOX emission inventory using satellite observations: A case study of southern Jiangsu, China Y. Zhao et al. 10.1016/j.atmosenv.2018.07.029
81. Tropospheric NO2 vertical column densities retrieved from ground-based MAX-DOAS measurements at Shangdianzi regional atmospheric background station in China S. Cheng et al. 10.1016/j.jes.2018.12.012
82. Estimating global surface ammonia concentrations inferred from satellite retrievals L. Liu et al. 10.5194/acp-19-12051-2019
83. NO2 Retrieval from the Environmental Trace Gases Monitoring Instrument (EMI): Preliminary Results and Intercomparison with OMI and TROPOMI L. Cheng et al. 10.3390/rs11243017
84. Validation of tropospheric NO<sub>2</sub> 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
85. High‐resolution NO2 observations from the Airborne Compact Atmospheric Mapper: Retrieval and validation L. Lamsal et al. 10.1002/2016JD025483
86. 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. 10.1016/j.atmosenv.2016.03.031
87. Constraints on Asian ozone using Aura TES, OMI and Terra MOPITT Z. Jiang et al. 10.5194/acp-15-99-2015
88. Effect of changing NO<sub><i>x</i></sub> lifetime on the seasonality and long-term trends of satellite-observed tropospheric NO<sub>2</sub> columns over China V. Shah et al. 10.5194/acp-20-1483-2020
89. The high-resolution version of TM5-MP for optimized satellite retrievals: description and validation J. Williams et al. 10.5194/gmd-10-721-2017
90. Increasing Ammonia Concentrations Reduce the Effectiveness of Particle Pollution Control Achieved via SO2 and NOX Emissions Reduction in East China X. Fu et al. 10.1021/acs.estlett.7b00143
91. Comparing Sentinel-5P TROPOMI NO2 column observations with the CAMS regional air quality ensemble J. Douros et al. 10.5194/gmd-16-509-2023
92. Assessment of NO<sub>2</sub> observations during DISCOVER-AQ and KORUS-AQ field campaigns S. Choi et al. 10.5194/amt-13-2523-2020
93. Study of aerosol characteristics and sources using MAX-DOAS measurement during haze at an urban site in the Fenwei Plain X. Li et al. 10.1016/j.jes.2020.12.015
94. Minimizing aerosol effects on the OMI tropospheric NO<sub>2</sub> retrieval – An improved use of the 477 nm O<sub>2</sub> − O<sub>2</sub> band and an estimation of the aerosol correction uncertainty J. Chimot et al. 10.5194/amt-12-491-2019
95. Urgency of controlling agricultural nitrogen sources to alleviate summertime air pollution in the North China Plain R. Wang et al. 10.1016/j.chemosphere.2022.137124
96. DeepSAT4D: Deep learning empowers four-dimensional atmospheric chemical concentration and emission retrieval from satellite S. Li & J. Xing 10.59717/j.xinn-geo.2024.100061
97. Improved aerosol correction for OMI tropospheric NO<sub>2</sub> retrieval over East Asia: constraint from CALIOP aerosol vertical profile M. Liu et al. 10.5194/amt-12-1-2019
98. Assessment of satellite-estimated near-surface sulfate and nitrate concentrations and their precursor emissions over China from 2006 to 2014 Y. Si et al. 10.1016/j.scitotenv.2019.02.180
99. OMI tropospheric NO<sub>2</sub> air mass factors over South America: effects of biomass burning aerosols P. Castellanos et al. 10.5194/amt-8-3831-2015
100. 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. 10.1016/j.envpol.2019.113323
101. 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. 10.1016/j.atmosenv.2019.117051
102. MAX-DOAS measurements of tropospheric NO<sub>2</sub> and HCHO in Munich and the comparison to OMI and TROPOMI satellite observations K. Chan et al. 10.5194/amt-13-4499-2020
103. An exploratory study on the aerosol height retrieval from OMI measurements of the 477  nm O<sub>2</sub> − O<sub>2</sub> spectral band using a neural network approach J. Chimot et al. 10.5194/amt-10-783-2017
104. Observations of tropospheric aerosols and NO2 in Hong Kong over 5 years using ground based MAX-DOAS K. Chan et al. 10.1016/j.scitotenv.2017.10.153
105. Evaluating the impact of spatial resolution on tropospheric NO<sub>2</sub> column comparisons within urban areas using high-resolution airborne data L. Judd et al. 10.5194/amt-12-6091-2019
106. A kriging-calibrated machine learning method for estimating daily ground-level NO2 in mainland China Z. Chen et al. 10.1016/j.scitotenv.2019.06.349
107. Sulfur emissions from consumption by developed and developing countries produce comparable climate impacts J. Lin et al. 10.1038/s41561-022-00898-2
108. Modelling organic aerosol concentrations and properties during ChArMEx summer campaigns of 2012 and 2013 in the western Mediterranean region M. Chrit et al. 10.5194/acp-17-12509-2017
109. Observations of tropospheric NO 2 using ground based MAX-DOAS and OMI measurements during the Shanghai World Expo 2010 K. Chan et al. 10.1016/j.atmosenv.2015.08.041
110. 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. 10.5194/amt-9-2647-2016
111. A model investigation into the atmospheric NOy chemistry in remote continental Asia K. Han et al. 10.1016/j.atmosenv.2019.116817
112. 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
113. Considerable Unaccounted Local Sources of NOx Emissions in China Revealed from Satellite H. Kong et al. 10.1021/acs.est.1c07723
114. 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
115. MAX-DOAS observations of aerosols, formaldehyde and nitrogen dioxide in the Beijing area: comparison of two profile retrieval approaches T. Vlemmix et al. 10.5194/amt-8-941-2015
116. Algorithm theoretical baseline for formaldehyde retrievals from S5P TROPOMI and from the QA4ECV project I. De Smedt et al. 10.5194/amt-11-2395-2018
117. 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
118. Spatiotemporal dynamics of nitrogen dioxide pollution and urban development: Satellite observations over China, 2005–2016 Y. Cui et al. 10.1016/j.resconrec.2018.11.015
119. Improvement of the satellite-derived NO<sub><i>x</i></sub> 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. 10.5194/acp-21-1191-2021
120. The importance of surface reflectance anisotropy for cloud and NO<sub>2</sub> retrievals from GOME-2 and OMI A. Lorente et al. 10.5194/amt-11-4509-2018
121. Comparison of OMI NO<sub>2</sub> observations and their seasonal and weekly cycles with ground-based measurements in Helsinki I. Ialongo et al. 10.5194/amt-9-5203-2016
122. 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. 10.1016/j.envpol.2017.03.079
123. Ground-based validation of the Copernicus Sentinel-5P TROPOMI NO<sub>2</sub> measurements with the NDACC ZSL-DOAS, MAX-DOAS and Pandonia global networks T. Verhoelst et al. 10.5194/amt-14-481-2021
124. Tropospheric nitrogen dioxide column retrieval from ground-based zenith–sky DOAS observations F. Tack et al. 10.5194/amt-8-2417-2015
125. Effect of surface BRDF of various land cover types on geostationary observations of tropospheric NO<sub>2</sub> K. Noguchi et al. 10.5194/amt-7-3497-2014