168 citations as recorded by crossref.

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2. Nitrogen Dioxide (NO2) Pollution Monitoring with Sentinel-5P Satellite Imagery over Europe during the Coronavirus Pandemic Outbreak M. Vîrghileanu et al. 10.3390/rs12213575
3. The Antarctic stratospheric nitrogen hole: Southern Hemisphere and Antarctic springtime total nitrogen dioxide and total ozone variability as observed by Sentinel-5p TROPOMI A. de Laat et al. 10.5194/acp-24-4511-2024
4. 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
5. 基于对流层检测仪和臭氧检测仪的我国近地面NO2浓度的估算对比与优化 周. Zhou Wenyuan et al. 10.3788/AOS231013
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7. Assessment of Updated Fuel‐Based Emissions Inventories Over the Contiguous United States Using TROPOMI NO2 Retrievals M. Li et al. 10.1029/2021JD035484
8. Changes in aerosol loading before, during and after the COVID-19 pandemic outbreak in China: Effects of anthropogenic and natural aerosol Y. Liang et al. 10.1016/j.scitotenv.2022.159435
9. Unprecedented decline in summertime surface ozone over eastern China in 2020 comparably attributable to anthropogenic emission reductions and meteorology H. Yin et al. 10.1088/1748-9326/ac3e22
10. Quantifying daily NOx and CO2 emissions from Wuhan using satellite observations from TROPOMI and OCO-2 Q. Zhang et al. 10.5194/acp-23-551-2023
11. Intraurban NO2 hotspot detection across multiple air quality products A. Montgomery et al. 10.1088/1748-9326/acf7d5
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13. First Concurrent Observations of NO2 and CO2 From Power Plant Plumes by Airborne Remote Sensing T. Fujinawa et al. 10.1029/2021GL092685
14. The 2020 Italian Spring Lockdown: A Multidisciplinary Analysis over the Milan Urban Area M. Migliaccio et al. 10.3390/world2030025
15. Assessing the Impact of Corona-Virus-19 on Nitrogen Dioxide Levels over Southern Ontario, Canada D. Griffin et al. 10.3390/rs12244112
16. Satellite unravels recent changes in atmospheric nitrogen oxides emissions from global ocean shipping X. Wang et al. 10.1016/j.jclepro.2023.139591
17. Direct estimates of biomass burning NO<sub><i>x</i></sub> emissions and lifetimes using daily observations from TROPOMI X. Jin et al. 10.5194/acp-21-15569-2021
18. 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
19. Substantial nitrogen oxides emission reduction from China due to COVID-19 and its impact on surface ozone and aerosol pollution Q. Zhang et al. 10.1016/j.scitotenv.2020.142238
20. Assessment of the monsoonal impact of air pollutants and meteorological factors on physicochemical water quality parameters using remote sensing M. Ahmed et al. 10.2166/wcc.2023.500
21. Delineating the spatial-temporal variation of air pollution with urbanization in the Belt and Road Initiative area G. Wei et al. 10.1016/j.eiar.2021.106646
22. Quantifying urban, industrial, and background changes in NO<sub>2</sub> during the COVID-19 lockdown period based on TROPOMI satellite observations V. Fioletov et al. 10.5194/acp-22-4201-2022
23. Study on Collaborative Emission Reduction in Green-House and Pollutant Gas Due to COVID-19 Lockdown in China H. Zhang et al. 10.3390/rs13173492
24. Investigating the Spatiotemporal Distributions of NO2, SO2 and Their Association with NDVI in Lahore (Pakistan) and Its Adjoining Region of Punjab (India) F. Rana et al. 10.1007/s12524-023-01726-9
25. 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
26. Shifts of Formation Regimes and Increases of Atmospheric Oxidation Led to Ozone Increase in North China Plain and Yangtze River Delta From 2016 to 2019 S. Zhu et al. 10.1029/2022JD038373
27. Global tropospheric ozone responses to reduced NO x emissions linked to the COVID-19 worldwide lockdowns K. Miyazaki et al. 10.1126/sciadv.abf7460
28. Neighborhood-scale ambient NO2 concentrations using TROPOMI NO2 data: Applications for spatially comprehensive exposure assessment H. Lee et al. 10.1016/j.scitotenv.2022.159342
29. Long-term spatiotemporal variations in surface NO2 for Beijing reconstructed from surface data and satellite retrievals Z. Zhao et al. 10.1016/j.scitotenv.2023.166693
30. Comparison of S5P/TROPOMI Inferred NO2 Surface Concentrations with In Situ Measurements over Central Europe A. Pseftogkas et al. 10.3390/rs14194886
31. Predicting the effect of confinement on the COVID-19 spread using machine learning enriched with satellite air pollution observations X. Xing et al. 10.1073/pnas.2109098118
32. NOx Emissions Reduction and Rebound in China Due to the COVID‐19 Crisis J. Ding et al. 10.1029/2020GL089912
33. Long-term trends of ozone and precursors from 2013 to 2020 in a megacity (Chengdu), China: Evidence of changing emissions and chemistry Y. Wang et al. 10.1016/j.atmosres.2022.106309
34. 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
35. Impacts of reduced deposition of atmospheric nitrogen on coastal marine eco-system during substantial shift in human activities in the twenty-first century F. Mumtaz et al. 10.1080/19475705.2021.1949396
36. A comparison of the impact of TROPOMI and OMI tropospheric NO<sub>2</sub> on global chemical data assimilation T. Sekiya et al. 10.5194/amt-15-1703-2022
37. Comparing Sentinel-5P TROPOMI NO2 column observations with the CAMS regional air quality ensemble J. Douros et al. 10.5194/gmd-16-509-2023
38. Evaluating Sentinel-5P TROPOMI tropospheric NO<sub>2</sub> 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
39. Air Quality in Two Northern Greek Cities Revealed by Their Tropospheric NO2 Levels M. Koukouli et al. 10.3390/atmos13050840
40. Impact of SARS-CoV-2 lockdown and de-escalation on air-quality parameters G. Viteri et al. 10.1016/j.chemosphere.2020.129027
41. Air Quality Response in China Linked to the 2019 Novel Coronavirus (COVID‐19) Lockdown K. Miyazaki et al. 10.1029/2020GL089252
42. Cross-evaluating WRF-Chem v4.1.2, TROPOMI, APEX, and in situ NO2 measurements over Antwerp, Belgium C. Poraicu et al. 10.5194/gmd-16-479-2023
43. NO2 emissions from oil refineries in the Mississippi Delta M. Filonchyk & M. Peterson 10.1016/j.scitotenv.2023.165569
44. Near-real-time monitoring of global CO2 emissions reveals the effects of the COVID-19 pandemic Z. Liu et al. 10.1038/s41467-020-18922-7
45. Inverse modelling of Chinese NOx emissions using deep learning: integrating in situ observations with a satellite-based chemical reanalysis T. He et al. 10.5194/acp-22-14059-2022
46. 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
47. Understanding the spatial and seasonal variation of the ground-level ozone in Southeast China with an interpretable machine learning and multi-source remote sensing H. Zhong et al. 10.1016/j.scitotenv.2024.170570
48. Disentangling the Impact of the COVID‐19 Lockdowns on Urban NO2 From Natural Variability D. Goldberg et al. 10.1029/2020GL089269
49. TROPOMI NO2 in the United States: A Detailed Look at the Annual Averages, Weekly Cycles, Effects of Temperature, and Correlation With Surface NO2 Concentrations D. Goldberg et al. 10.1029/2020EF001665
50. SAMIRA-SAtellite Based Monitoring Initiative for Regional Air Quality K. Stebel et al. 10.3390/rs13112219
51. Response of Anthropogenic Volatile Organic Compound Emissions to Urbanization in Asia Probed With TROPOMI and VIIRS Satellite Observations D. Pu et al. 10.1029/2022GL099470
52. Inferring and evaluating satellite-based constraints on NOx emissions estimates in air quality simulations J. East et al. 10.5194/acp-22-15981-2022
53. Impact of COVID-19 lockdown on the ambient air-pollutants over the Arabian Peninsula R. Karumuri et al. 10.3389/fenvs.2022.963145
54. Evaluating NOx emissions and their effect on O3 production in Texas using TROPOMI NO2 and HCHO D. Goldberg et al. 10.5194/acp-22-10875-2022
55. 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
56. 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
57. A review of Space-Air-Ground integrated remote sensing techniques for atmospheric monitoring B. Zhou et al. 10.1016/j.jes.2021.12.008
58. Development of Multi-Scale Indices of Social Distance Based on Local and Global Air Quality L. da Silveira et al. 10.2139/ssrn.4142175
59. Vertical Features of Volatile Organic Compounds and Their Potential Photochemical Reactivities in Boundary Layer Revealed by In-Situ Observations and Satellite Retrieval S. Yang et al. 10.3390/rs16081403
60. Assessing sub-grid variability within satellite pixels over urban regions using airborne mapping spectrometer measurements W. Tang et al. 10.5194/amt-14-4639-2021
61. TROPOMI-Retrieved Underwater Light Attenuation in Three Spectral Regions in the Ultraviolet and Blue J. Oelker et al. 10.3389/fmars.2022.787992
62. Monitoring Compliance in Pandemic Management with Air Pollution Data: A Lesson From COVID-19 R. Wang & J. Peñuelas 10.1021/acs.est.1c03818
63. Evaluation of the LOTOS-EUROS NO<sub>2</sub> simulations using ground-based measurements and S5P/TROPOMI observations over Greece I. Skoulidou et al. 10.5194/acp-21-5269-2021
64. COVID-19 lockdown-induced changes in NO<sub>2</sub> levels across India observed by multi-satellite and surface observations A. Biswal et al. 10.5194/acp-21-5235-2021
65. Surface ozone over Doon valley of the Indian Himalaya: Characteristics, impact assessment, and model results S. Harithasree et al. 10.1016/j.aeaoa.2024.100247
66. Inferring ground-level nitrogen dioxide concentrations at fine spatial resolution applied to the TROPOMI satellite instrument M. Cooper et al. 10.1088/1748-9326/aba3a5
67. Ground-Level NO2 Surveillance from Space Across China for High Resolution Using Interpretable Spatiotemporally Weighted Artificial Intelligence J. Wei et al. 10.1021/acs.est.2c03834
68. Direct measurements of ozone response to emissions perturbations in California S. Wu et al. 10.5194/acp-22-4929-2022
69. Air Pollution Declines During Restriction Phases in China Y. Ma et al. 10.1007/s41748-023-00359-9
70. Catalog of NOx emissions from point sources as derived from the divergence of the NO2 flux for TROPOMI S. Beirle et al. 10.5194/essd-13-2995-2021
71. Nitrogen dioxide decline and rebound observed by GOME-2 and TROPOMI during COVID-19 pandemic S. Liu et al. 10.1007/s11869-021-01046-2
72. COVID‐19 Impact on the Oil and Gas Industry NO2 Emissions: A Case Study of the Permian Basin R. Serrano‐Calvo et al. 10.1029/2023JD038566
73. Impact of 3D cloud structures on the atmospheric trace gas products from UV–Vis sounders – Part 2: Impact on NO2 retrieval and mitigation strategies H. Yu et al. 10.5194/amt-15-5743-2022
74. Unprecedented Temporary Reduction in Global Air Pollution Associated with COVID-19 Forced Confinement: A Continental and City Scale Analysis Z. Zhang et al. 10.3390/rs12152420
75. Evaluating the spatial patterns of U.S. urban NOx emissions using TROPOMI NO2 D. Goldberg et al. 10.1016/j.rse.2023.113917
76. Tropospheric NO2 and O3 Response to COVID‐19 Lockdown Restrictions at the National and Urban Scales in Germany V. Balamurugan et al. 10.1029/2021JD035440
77. Leveraging Machine Learning and Geo-Tagged Citizen Science Data to Disentangle the Factors of Avian Mortality Events at the Species Level A. Yang et al. 10.3390/rs14102369
78. Year-round changes in tropospheric nitrogen dioxide caused by COVID-19 in China using satellite observation Z. Luo et al. 10.1016/j.jes.2022.01.013
79. An Enhanced Water Quality Index for Water Quality Monitoring Using Remote Sensing and Machine Learning M. Ahmed et al. 10.3390/app122412787
80. Drivers of 2013–2020 ozone trends in the Sichuan Basin, China: Impacts of meteorology and precursor emission changes K. Wu et al. 10.1016/j.envpol.2022.118914
81. Spatiotemporal characteristics of ozone and the formation sensitivity over the Fenwei Plain H. Ren et al. 10.1016/j.scitotenv.2023.163369
82. The impact of lockdown on nitrogen dioxide (NO2) over Central Asian countries during the COVID-19 pandemic Z. Zhang et al. 10.1007/s11356-021-17140-y
83. New observations of NO<sub>2</sub> in the upper troposphere from TROPOMI E. Marais et al. 10.5194/amt-14-2389-2021
84. The worldwide COVID-19 lockdown impacts on global secondary inorganic aerosols and radiative budget T. Sekiya et al. 10.1126/sciadv.adh2688
85. An Observing System Simulation Experiment Analysis of How Well Geostationary Satellite Trace‐Gas Observations Constrain NOx Emissions in the US C. Hsu et al. 10.1029/2023JD039323
86. Atmospheric Observations of Weather and Climate H. Bluestein et al. 10.1080/07055900.2022.2082369
87. NOx Emission Reduction and Recovery during COVID-19 in East China R. Zhang et al. 10.3390/atmos11040433
88. Spatiotemporal Patterns in Data Availability of the Sentinel-5P NO2 Product over Urban Areas in Norway P. Schneider et al. 10.3390/rs13112095
89. Variability of NO<sub>2</sub> concentrations over China and effect on air quality derived from satellite and ground-based observations C. Fan et al. 10.5194/acp-21-7723-2021
90. Sentinel-5P TROPOMI NO<sub>2</sub> retrieval: impact of version v2.2 improvements and comparisons with OMI and ground-based data J. van Geffen et al. 10.5194/amt-15-2037-2022
91. Quantification and evaluation of atmospheric emissions from crop residue burning constrained by satellite observations in China during 2016–2020 X. Hong et al. 10.1016/j.scitotenv.2022.161237
92. TROPOMI NO2 Shows a Fast Recovery of China’s Economy in the First Quarter of 2023 H. Li & B. Zheng 10.1021/acs.estlett.3c00386
93. Model-free daily inversion of NOx emissions using TROPOMI (MCMFE-NOx) and its uncertainty: Declining regulated emissions and growth of new sources K. Qin et al. 10.1016/j.rse.2023.113720
94. Photochemical sensitivity to emissions and local meteorology in Bogotá, Santiago, and São Paulo R. Seguel et al. 10.1525/elementa.2021.00044
95. Development of multi-scale indices of human mobility restriction during the COVID-19 based on air quality from local and global NO2 concentration L. da Silveira et al. 10.1016/j.isci.2023.107599
96. Impacts of Soil NOx Emission on O3 Air Quality in Rural California T. Sha et al. 10.1021/acs.est.0c06834
97. Spatiotemporal Analysis of NO2 Production Using TROPOMI Time-Series Images and Google Earth Engine in a Middle Eastern Country H. Rabiei-Dastjerdi et al. 10.3390/rs14071725
98. Impacts of irregular and strategic lockdown on air quality over Indo-Pak Subcontinent: Pre-to-post COVID-19 analysis F. Saleem et al. 10.1016/j.chaos.2023.114255
99. A New Separation Methodology for the Maritime Sector Emissions over the Mediterranean and Black Sea Regions A. Pseftogkas et al. 10.3390/atmos12111478
100. Estimating NOx LOTOS-EUROS CTM Emission Parameters over the Northwest of South America through 4DEnVar TROPOMI NO2 Assimilation A. Yarce Botero et al. 10.3390/atmos12121633
101. Estimating enhancement ratios of nitrogen dioxide, carbon monoxide and carbon dioxide using satellite observations C. MacDonald et al. 10.5194/acp-23-3493-2023
102. Remote Sensing Estimation of Regional NO2 via Space-Time Neural Networks T. Li et al. 10.3390/rs12162514
103. Background nitrogen dioxide (NO2) over the United States and its implications for satellite observations and trends: effects of nitrate photolysis, aircraft, and open fires R. Dang et al. 10.5194/acp-23-6271-2023
104. Impacts of COVID-19 lockdown, Spring Festival and meteorology on the NO2 variations in early 2020 over China based on in-situ observations, satellite retrievals and model simulations Z. Wang et al. 10.1016/j.atmosenv.2020.117972
105. Propagation of NO2 originated in intense fires in the Paraná River Delta analyzed from satellite observations M. Virginia Binet et al. 10.1016/j.asr.2024.04.030
106. Improved spatial representation of a highly resolved emission inventory in China: evidence from TROPOMI measurements N. Wu et al. 10.1088/1748-9326/ac175f
107. 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
108. Investigation of 2021 wildfire impacts on air quality in southwestern Turkey M. Eke et al. 10.1016/j.atmosenv.2024.120445
109. Spatial and Temporal Variation of NO2 Vertical Column Densities (VCDs) over Poland: Comparison of the Sentinel-5P TROPOMI Observations and the GEM-AQ Model Simulations M. Kawka et al. 10.3390/atmos12070896
110. Quantification of lightning-produced NO<sub><i>x</i></sub> over the Pyrenees and the Ebro Valley by using different TROPOMI-NO<sub>2</sub> and cloud research products F. Pérez-Invernón et al. 10.5194/amt-15-3329-2022
111. Changing Responses of PM2.5 and Ozone to Source Emissions in the Yangtze River Delta Using the Adjoint Model W. Hu et al. 10.1021/acs.est.3c05049
112. Widespread missing super-emitters of nitrogen oxides across China inferred from year-round satellite observations Y. Pan et al. 10.1016/j.scitotenv.2022.161157
113. An improved TROPOMI tropospheric NO<sub>2</sub> research product over Europe S. Liu et al. 10.5194/amt-14-7297-2021
114. Comparative assessment of TROPOMI and OMI formaldehyde observations and validation against MAX-DOAS network column measurements I. De Smedt et al. 10.5194/acp-21-12561-2021
115. Unexpected deterioration of O3 pollution in the South Coast Air Basin of California: The role of meteorology and emissions K. Wu et al. 10.1016/j.envpol.2023.121728
116. Evaluation of the nitrogen oxide emission inventory with TROPOMI observations Y. Chen et al. 10.1016/j.atmosenv.2023.119639
117. Air quality impacts of COVID-19 lockdown measures detected from space using high spatial resolution observations of multiple trace gases from Sentinel-5P/TROPOMI P. Levelt et al. 10.5194/acp-22-10319-2022
118. A satellite-data-driven framework to rapidly quantify air-basin-scale NO<sub><i>x</i></sub> emissions and its application to the Po Valley during the COVID-19 pandemic K. Sun et al. 10.5194/acp-21-13311-2021
119. Analysis of NO2 and O3 Total Columns from DOAS Zenith-Sky Measurements in South Italy P. Pettinari et al. 10.3390/rs14215541
120. Global enhanced vegetation photosynthesis in urban environment and its drivers revealed by satellite solar-induced chlorophyll fluorescence data S. Wang et al. 10.1016/j.agrformet.2023.109622
121. Global fine-scale changes in ambient NO2 during COVID-19 lockdowns M. Cooper et al. 10.1038/s41586-021-04229-0
122. Assessment of Spatial and Temporal Variation in NO2 Levels over Tourist Reception Areas in Poland D. Mochocki & W. Zgłobicki 10.3390/app13169477
123. Detection of NO2 pollution plumes from individual ships with the TROPOMI/S5P satellite sensor A. Georgoulias et al. 10.1088/1748-9326/abc445
124. Atmospheric NO2 Distribution Characteristics and Influencing Factors in Yangtze River Economic Belt: Analysis of the NO2 Product of TROPOMI/Sentinel-5P X. Liu et al. 10.3390/atmos12091142
125. High-resolution modeling of the distribution of surface air pollutants and their intercontinental transport by a global tropospheric atmospheric chemistry source–receptor model (GNAQPMS-SM) Q. Ye et al. 10.5194/gmd-14-7573-2021
126. Revised estimates of NO2 reductions during the COVID-19 lockdowns using updated TROPOMI NO2 retrievals and model simulations B. Fisher et al. 10.1016/j.atmosenv.2024.120459
127. Impacts of TROPOMI-Derived NOX Emissions on NO2 and O3 Simulations in the NCP during COVID-19 Y. Zhu et al. 10.1021/acsenvironau.2c00013
128. Impact of the COVID-19 pandemic related to lockdown measures on tropospheric NO<sub>2</sub> columns over Île-de-France A. Pazmiño et al. 10.5194/acp-21-18303-2021
129. Discrete-wavelength DOAS NO<sub>2</sub> slant column retrievals from OMI and TROPOMI C. Ruiz Villena et al. 10.5194/amt-13-1735-2020
130. Understanding temporary reduction in atmospheric pollution and its impacts on coastal aquatic system during COVID-19 lockdown: a case study of South Asia M. Shafeeque et al. 10.1080/19475705.2021.1885503
131. Meteorological Drivers of Permian Basin Methane Anomalies Derived from TROPOMI E. Crosman 10.3390/rs13050896
132. Impacts of Ship Emissions on Air Quality in Southern China: Opportunistic Insights from the Abrupt Emission Changes in Early 2020 X. Feng et al. 10.1021/acs.est.3c04155
133. S‐5P/TROPOMI‐Derived NOx Emissions From Copper/Cobalt Mining and Other Industrial Activities in the Copperbelt (Democratic Republic of Congo and Zambia) S. Martínez‐Alonso et al. 10.1029/2023GL104109
134. Assessment of the TROPOMI tropospheric NO<sub>2</sub> product based on airborne APEX observations F. Tack et al. 10.5194/amt-14-615-2021
135. The impact of COVID-19-induced lockdowns during spring 2020 on nitrogen dioxide levels over major American counties J. Poetzscher & R. Isaifan 10.1525/elementa.2021.00002
136. War Impact on Air Quality in Ukraine R. Zalakeviciute et al. 10.3390/su142113832
137. Assessing the impact of COVID-19 lockdown on fine-scale air quality across a heavy-pollution city using low-cost sensors W. Sun & R. Li 10.1016/j.atmosenv.2023.120275
138. Impact of urbanization on air quality in the Yangtze River Delta during the COVID-19 lockdown in China L. Shen et al. 10.1016/j.jclepro.2021.126561
139. Simultaneous decreases in NO2 levels and disparities in California during the COVID-19 pandemic H. Lee et al. 10.1016/j.atmosenv.2023.120214
140. High-resolution modeling of gaseous air pollutants over Tehran and validation with surface and satellite data N. Shahrokhishahraki et al. 10.1016/j.atmosenv.2021.118881
141. Different Response Mechanisms of N‐Bearing Components to Emission Reduction Across China During COVID‐19 Lockdown Period R. Li et al. 10.1029/2023JD039496
142. Consistent weekly cycles of atmospheric NO2, CO, and CO2 in a North American megacity from ground-based, mountaintop, and satellite measurements H. Wang et al. 10.1016/j.atmosenv.2021.118809
143. Estimating daily ground-level NO2 concentrations over China based on TROPOMI observations and machine learning approach S. Long et al. 10.1016/j.atmosenv.2022.119310
144. 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
145. Examining TROPOMI formaldehyde to nitrogen dioxide ratios in the Lake Michigan region: implications for ozone exceedances J. Acdan et al. 10.5194/acp-23-7867-2023
146. Direct Retrieval of NO 2 Vertical Columns from UV-Vis (390-495 nm) Spectral Radiances Using a Neural Network C. Li et al. 10.34133/2022/9817134
147. 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
148. COVID-19 pandemic reveals persistent disparities in nitrogen dioxide pollution G. Kerr et al. 10.1073/pnas.2022409118
149. Characterization of Nitrogen Dioxide Variability Using Ground-Based and Satellite Remote Sensing and In Situ Measurements in the Tiber Valley (Lazio, Italy) C. Bassani et al. 10.3390/rs15153703
150. Atmospheric Impacts of COVID-19 on NOx and VOC Levels over China Based on TROPOMI and IASI Satellite Data and Modeling T. Stavrakou et al. 10.3390/atmos12080946
151. Transformation of urban mobility during COVID-19 pandemic – Lessons for transportation planning S. Rahman et al. 10.1016/j.jth.2021.101257
152. Carbon Monoxide in Optically Thick Wildfire Smoke: Evaluating TROPOMI Using CU Airborne SOF Column Observations J. Rowe et al. 10.1021/acsearthspacechem.2c00048
153. Global Observations of Tropospheric Bromine Monoxide (BrO) Columns From TROPOMI Y. Chen et al. 10.1029/2023JD039091
154. Two years of satellite-based carbon dioxide emission quantification at the world's largest coal-fired power plants D. Cusworth et al. 10.5194/acp-23-14577-2023
155. Global Significant Changes in Formaldehyde (HCHO) Columns Observed From Space at the Early Stage of the COVID‐19 Pandemic W. Sun et al. 10.1029/2020GL091265
156. Assessment of environmental consequences of hostilities: Tropospheric NO2 vertical column amounts in the atmosphere over Ukraine in 2019–2022 L. Malytska et al. 10.1016/j.atmosenv.2023.120281
157. Inferring vertical variability and diurnal evolution of O3 formation sensitivity based on the vertical distribution of summertime HCHO and NO2 in Guangzhou, China Q. Hong et al. 10.1016/j.scitotenv.2022.154045
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159. New sights on the impact of spatial composition of production factors for socioeconomic recovery in the post-epidemic era: a case study of cities in central and eastern China S. LIU et al. 10.1016/j.scs.2022.104061
160. Sensitivities of Ozone Air Pollution in the Beijing–Tianjin–Hebei Area to Local and Upwind Precursor Emissions Using Adjoint Modeling X. Wang et al. 10.1021/acs.est.1c00131
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162. Observations of Lightning NOx Production From Tropospheric Monitoring Instrument Case Studies Over the United States D. Allen et al. 10.1029/2020JD034174
163. Diagnosing the Sensitivity of Particulate Nitrate to Precursor Emissions Using Satellite Observations of Ammonia and Nitrogen Dioxide R. Dang et al. 10.1029/2023GL105761
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