184 citations as recorded by crossref.

1. NOx Emission Reduction and Recovery during COVID-19 in East China R. Zhang et al. 10.3390/atmos11040433
2. 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
3. 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
4. Evaluating the spatial patterns of U.S. urban NOx emissions using TROPOMI NO2 D. Goldberg et al. 10.1016/j.rse.2023.113917
5. Trends and trend reversal detection in 2 decades of tropospheric NO<sub>2</sub> satellite observations A. Georgoulias et al. 10.5194/acp-19-6269-2019
6. Detection of NO2 pollution plumes from individual ships with the TROPOMI/S5P satellite sensor A. Georgoulias et al. 10.1088/1748-9326/abc445
7. Decadal Variabilities in Tropospheric Nitrogen Oxides Over United States, Europe, and China Z. Jiang et al. 10.1029/2021JD035872
8. Enhanced Capabilities of TROPOMI NO2: Estimating NOX from North American Cities and Power Plants D. Goldberg et al. 10.1021/acs.est.9b04488
9. Four Decades of United States Mobile Source Pollutants: Spatial–Temporal Trends Assessed by Ground-Based Monitors, Air Quality Models, and Satellites L. Henneman et al. 10.1021/acs.est.0c07128
10. Satellite NO2 trends reveal pervasive impacts of wildfire and soil emissions across California landscapes Y. Wang et al. 10.1088/1748-9326/acec5f
11. A New Separation Methodology for the Maritime Sector Emissions over the Mediterranean and Black Sea Regions A. Pseftogkas et al. 10.3390/atmos12111478
12. An improved TROPOMI tropospheric NO<sub>2</sub> research product over Europe S. Liu et al. 10.5194/amt-14-7297-2021
13. Coupling Remote Sensing Insights With Vegetation Dynamics and to Analyze NO2 Concentrations: A Google Earth Engine-Driven Investigation X. Zheng et al. 10.1109/JSTARS.2024.3397496
14. NOx emissions in India derived from OMI satellite observations J. Ding et al. 10.1016/j.aeaoa.2022.100174
15. The implication of the air quality pattern in South Korea after the COVID-19 outbreak J. Koo et al. 10.1038/s41598-020-80429-4
16. Global fine-scale changes in ambient NO2 during COVID-19 lockdowns M. Cooper et al. 10.1038/s41586-021-04229-0
17. Validation of Aura-OMI QA4ECV NO<sub>2</sub> climate data records with ground-based DOAS networks: the role of measurement and comparison uncertainties S. Compernolle et al. 10.5194/acp-20-8017-2020
18. Daily Satellite Observations of Nitrogen Dioxide Air Pollution Inequality in New York City, New York and Newark, New Jersey: Evaluation and Application I. Dressel et al. 10.1021/acs.est.2c02828
19. 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
20. Hybrid Mass Balance/4D‐Var Joint Inversion of NOx and SO2 Emissions in East Asia Z. Qu et al. 10.1029/2018JD030240
21. Space‐Based Observational Constraints on NO2 Air Pollution Inequality From Diesel Traffic in Major US Cities M. Demetillo et al. 10.1029/2021GL094333
22. A 16-year global climate data record of total column water vapour generated from OMI observations in the visible blue spectral range C. Borger et al. 10.5194/essd-15-3023-2023
23. Space-based monitoring of NO2 levels during COVID-19 lockdown in Cairo, Egypt and Riyadh, Saudi Arabia A. Abdelsattar et al. 10.1016/j.ejrs.2021.03.004
24. Tropospheric ozone precursors: global and regional distributions, trends, and variability Y. Elshorbany et al. 10.5194/acp-24-12225-2024
25. 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
26. Estimating surface-level nitrogen dioxide concentrations from Sentinel-5P/TROPOMI observations in Finland H. Virta et al. 10.1016/j.atmosenv.2023.119989
27. Dynamic spatial analysis of NO2 pollution over China: Satellite observations and spatial convergence models Y. Cui et al. 10.1016/j.apr.2021.02.003
28. 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
29. NO2 Air Pollution Trends and Settlement Growth in Megacities T. Erbertseder et al. 10.1109/JSTARS.2024.3419573
30. Global and national assessment of the incidence of asthma in children and adolescents from major sources of ambient NO2 S. Chowdhury et al. 10.1088/1748-9326/abe909
31. Soil Emissions of Reactive Oxidized Nitrogen Reduce the Effectiveness of Anthropogenic Source Control in China Y. Wang et al. 10.1021/acs.est.4c08526
32. Measurement report: Spatiotemporal variability of peroxy acyl nitrates (PANs) over Mexico City from TES and CrIS satellite measurements M. Shogrin et al. 10.5194/acp-23-2667-2023
33. 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
34. Satellite validation strategy assessments based on the AROMAT campaigns A. Merlaud et al. 10.5194/amt-13-5513-2020
35. Updated tropospheric chemistry reanalysis and emission estimates, TCR-2, for 2005–2018 K. Miyazaki et al. 10.5194/essd-12-2223-2020
36. Downward trend of NO2 in the urban areas of Beijing-Tianjin-Hebei region from 2014 to 2020: Comparison of satellite retrievals, ground observations, and emission inventories J. Xu et al. 10.1016/j.atmosenv.2022.119531
37. Grid-stretching capability for the GEOS-Chem 13.0.0 atmospheric chemistry model L. Bindle et al. 10.5194/gmd-14-5977-2021
38. Diagnosing the Sensitivity of Particulate Nitrate to Precursor Emissions Using Satellite Observations of Ammonia and Nitrogen Dioxide R. Dang et al. 10.1029/2023GL105761
39. Quantifying burning efficiency in megacities using the NO2∕CO ratio from the Tropospheric Monitoring Instrument (TROPOMI) S. Lama et al. 10.5194/acp-20-10295-2020
40. 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
41. Air Quality Response in China Linked to the 2019 Novel Coronavirus (COVID‐19) Lockdown K. Miyazaki et al. 10.1029/2020GL089252
42. Spaceborne evidence for significant anthropogenic VOC trends in Asian cities over 2005–2019 M. Bauwens et al. 10.1088/1748-9326/ac46eb
43. Description and evaluation of a detailed gas-phase chemistry scheme in the TM5-MP global chemistry transport model (r112) S. Myriokefalitakis et al. 10.5194/gmd-13-5507-2020
44. Comprehensive evaluations of diurnal NO<sub>2</sub> measurements during DISCOVER-AQ 2011: effects of resolution-dependent representation of NO<sub><i>x</i></sub> emissions J. Li et al. 10.5194/acp-21-11133-2021
45. 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
46. 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
47. Intimately tracking NO2 pollution over the New York City - Long Island Sound land-water continuum: An integration of shipboard, airborne, satellite observations, and models M. Tzortziou et al. 10.1016/j.scitotenv.2023.165144
48. European NO<sub><i>x</i></sub> emissions in WRF-Chem derived from OMI: impacts on summertime surface ozone A. Visser et al. 10.5194/acp-19-11821-2019
49. Use of asymptotic analysis for solving the inverse problem of source parameters determination of nitrogen oxide emission in the atmosphere S. Zakharova et al. 10.1080/17415977.2020.1785443
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. Continuous multi-component MAX-DOAS observations for the planetary boundary layer ozone variation analysis at Chiba and Tsukuba, Japan, from 2013 to 2019 H. Irie et al. 10.1186/s40645-021-00424-9
52. Opinion: Beyond global means – novel space-based approaches to indirectly constrain the concentrations of and trends and variations in the tropospheric hydroxyl radical (OH) B. Duncan et al. 10.5194/acp-24-13001-2024
53. 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
54. First observation of tropospheric nitrogen dioxide from the Environmental Trace Gases Monitoring Instrument onboard the GaoFen-5 satellite C. Zhang et al. 10.1038/s41377-020-0306-z
55. Evaluation of nitrogen oxides (NO<sub><i>x</i></sub>) sources and sinks and ozone production in Colombia and surrounding areas J. Barten et al. 10.5194/acp-20-9441-2020
56. Long-term variations and trends of tropospheric and ground-level NO2 over typical coastal areas X. Tian et al. 10.1016/j.ecolind.2024.112163
57. Observational operator for fair model evaluation with ground NO2 measurements L. Fang et al. 10.5194/gmd-17-8267-2024
58. 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
59. 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
60. 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
61. 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
62. OMI-based emission source classification in East China and its spatial redistribution in view of pollution control measures M. Zara et al. 10.1007/s10661-024-12421-8
63. Ground-based and OMI-TROPOMI NO2 measurements at El Arenosillo observatory: Unexpected upward trends J. Adame et al. 10.1016/j.envpol.2020.114771
64. 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
65. Airborne observation with a low-cost hyperspectral instrument: retrieval of NO2 vertical column densities (VCDs) and the satellite sub-grid variability over industrial point sources J. Park et al. 10.5194/amt-17-197-2024
66. 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
67. Reduction in Anthropogenic Emissions Suppressed New Particle Formation and Growth: Insights From the COVID‐19 Lockdown V. Kanawade et al. 10.1029/2021JD035392
68. Temporal Variability of Tropospheric NO2 over Cities in the United States, Western Europe and China from 2005 to 2022 Q. Zhang 10.1007/s11769-024-1454-5
69. Tropospheric NO2 retrieval algorithm for geostationary satellite instruments: applications to GEMS S. Seo et al. 10.5194/amt-17-6163-2024
70. Impact of Coronavirus Outbreak on NO2 Pollution Assessed Using TROPOMI and OMI Observations M. Bauwens et al. 10.1029/2020GL087978
71. Global tropospheric ozone responses to reduced NO x emissions linked to the COVID-19 worldwide lockdowns K. Miyazaki et al. 10.1126/sciadv.abf7460
72. Inferring and evaluating satellite-based constraints on NOx emissions estimates in air quality simulations J. East et al. 10.5194/acp-22-15981-2022
73. Trend reversal from source region to remote tropospheric NO2 columns X. Cai et al. 10.1007/s11356-021-16857-0
74. 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
75. Estimation of OH in urban plumes using TROPOMI-inferred NO2 ∕ CO S. Lama et al. 10.5194/acp-22-16053-2022
76. Sensitivity analysis of NO2 differential slant column density according to spatial resolution using GCAS data from the SIJAQ 2022 campaign S. Lee et al. 10.1016/j.atmosenv.2024.120723
77. An improved total and tropospheric NO<sub>2</sub> column retrieval for GOME-2 S. Liu et al. 10.5194/amt-12-1029-2019
78. Reductions in nitrogen oxides over the Netherlands between 2005 and 2018 observed from space and on the ground: Decreasing emissions and increasing O3 indicate changing NOx chemistry M. Zara et al. 10.1016/j.aeaoa.2021.100104
79. To new heights by flying low: comparison of aircraft vertical NO2 profiles to model simulations and implications for TROPOMI NO2 retrievals T. Riess et al. 10.5194/amt-16-5287-2023
80. Comparing Sentinel-5P TROPOMI NO2 column observations with the CAMS regional air quality ensemble J. Douros et al. 10.5194/gmd-16-509-2023
81. Quantification of nitrogen oxides emissions from build-up of pollution over Paris with TROPOMI A. Lorente et al. 10.1038/s41598-019-56428-5
82. 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
83. Assessing and improving cloud-height-based parameterisations of global lightning flash rate, and their impact on lightning-produced NO<sub><i>x</i></sub> and tropospheric composition in a chemistry–climate model A. Luhar et al. 10.5194/acp-21-7053-2021
84. Technical note: Evaluation of profile retrievals of aerosols and trace gases for MAX-DOAS measurements under different aerosol scenarios based on radiative transfer simulations X. Tian et al. 10.5194/acp-21-12867-2021
85. 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
86. Increases in surface ozone pollution in China from 2013 to 2019: anthropogenic and meteorological influences K. Li et al. 10.5194/acp-20-11423-2020
87. Biomass burning combustion efficiency observed from space using measurements of CO and NO<sub>2</sub> by the TROPOspheric Monitoring Instrument (TROPOMI) I. van der Velde et al. 10.5194/acp-21-597-2021
88. Effect of Aerosols, Tropospheric NO2 and Clouds on Surface Solar Radiation over the Eastern Mediterranean (Greece) G. Alexandri et al. 10.3390/rs13132587
89. Shipborne MAX-DOAS measurements for validation of TROPOMI NO<sub>2</sub> products P. Wang et al. 10.5194/amt-13-1413-2020
90. SAMIRA-SAtellite Based Monitoring Initiative for Regional Air Quality K. Stebel et al. 10.3390/rs13112219
91. Evaluation of a multi-model, multi-constituent assimilation framework for tropospheric chemical reanalysis K. Miyazaki et al. 10.5194/acp-20-931-2020
92. 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
93. 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
94. Satellite unravels recent changes in atmospheric nitrogen oxides emissions from global ocean shipping X. Wang et al. 10.1016/j.jclepro.2023.139591
95. 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
96. Overview: Estimating and reporting uncertainties in remotely sensed atmospheric composition and temperature T. von Clarmann et al. 10.5194/amt-13-4393-2020
97. 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
98. Estimation of daily NO2 with explainable machine learning model in China, 2007–2020 Y. Shao et al. 10.1016/j.atmosenv.2023.120111
99. 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
100. 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
101. Impacts of global NO<sub><i>x</i></sub> inversions on NO<sub>2</sub> and ozone simulations Z. Qu et al. 10.5194/acp-20-13109-2020
102. Analysis of the Anthropogenic and Biogenic NOx Emissions Over 2008–2017: Assessment of the Trends in the 30 Most Populated Urban Areas in Europe A. Fortems‐Cheiney et al. 10.1029/2020GL092206
103. Satellite isoprene retrievals constrain emissions and atmospheric oxidation K. Wells et al. 10.1038/s41586-020-2664-3
104. Aerosol characteristics and polarimetric signatures for a deep convective storm over the northwestern part of Europe – modeling and observations P. Shrestha et al. 10.5194/acp-22-14095-2022
105. Integrated Influencing Mechanism of Potential Drivers on Seasonal Variability of LST in Kolkata Municipal Corporation, India D. Bera et al. 10.3390/land11091461
106. 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
107. 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
108. Impact of synthetic space-borne NO<sub>2</sub> observations from the Sentinel-4 and Sentinel-5P missions on tropospheric NO<sub>2</sub> analyses R. Timmermans et al. 10.5194/acp-19-12811-2019
109. Effect of vegetation and land surface temperature on NO2 concentration: A Google Earth Engine-based remote sensing approach S. Rahaman et al. 10.1016/j.uclim.2022.101336
110. First Chinese ultraviolet–visible hyperspectral satellite instrument implicating global air quality during the COVID-19 pandemic in early 2020 C. Liu et al. 10.1038/s41377-022-00722-x
111. TROPOMI NO2 Sentinel-5P data in the Community of Madrid: A detailed consistency analysis with in situ surface observations C. Morillas et al. 10.1016/j.rsase.2023.101083
112. Trace Gases over Land and Ocean Surfaces of China: Hotspots, Trends, and Source Contributions M. Ali et al. 10.1007/s41748-023-00354-0
113. Tropospheric NO2 vertical profiles over South Korea and their relation to oxidant chemistry: implications for geostationary satellite retrievals and the observation of NO2 diurnal variation from space L. Yang et al. 10.5194/acp-23-2465-2023
114. 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
115. Tropospheric NO2: Explorative analyses of spatial variability and impact factors I. Müller et al. 10.1016/j.rse.2021.112839
116. 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
117. 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
118. US COVID‐19 Shutdown Demonstrates Importance of Background NO2 in Inferring NOx Emissions From Satellite NO2 Observations Z. Qu et al. 10.1029/2021GL092783
119. Observing Nitrogen Dioxide Air Pollution Inequality Using High-Spatial-Resolution Remote Sensing Measurements in Houston, Texas M. Demetillo et al. 10.1021/acs.est.0c01864
120. 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
121. Dealing with spatial heterogeneity in pointwise-to-gridded- data comparisons A. Souri et al. 10.5194/amt-15-41-2022
122. 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
123. The impact of COVID-19 lockdowns on urban photochemistry as inferred from TROPOMI S. Lama et al. 10.1016/j.atmosenv.2023.120042
124. Changes in US background ozone associated with the 2011 turnaround in Chinese NOx emissions K. Miyazaki et al. 10.1088/2515-7620/ac619b
125. Tropospheric and Surface Nitrogen Dioxide Changes in the Greater Toronto Area during the First Two Years of the COVID-19 Pandemic X. Zhao et al. 10.3390/rs14071625
126. 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
127. Impact of weather and emission changes on NO2 concentrations in China during 2014–2019 Y. Shen et al. 10.1016/j.envpol.2020.116163
128. Sudden changes in nitrogen dioxide emissions over Greece due to lockdown after the outbreak of COVID-19 M. Koukouli et al. 10.5194/acp-21-1759-2021
129. Characterization of errors in satellite-based HCHO ∕ NO2 tropospheric column ratios with respect to chemistry, column-to-PBL translation, spatial representation, and retrieval uncertainties A. Souri et al. 10.5194/acp-23-1963-2023
130. Spatiotemporal evolution analysis of NO2 column density before and after COVID-19 pandemic in Henan province based on SI-APSTE model Y. Liu et al. 10.1038/s41598-021-97745-y
131. Air Quality over China G. de Leeuw et al. 10.3390/rs13173542
132. Identifying the driving factors of NO2 pollution of One Belt One Road countries: satellite observation technique and dynamic spatial panel data analysis L. Jiang et al. 10.1007/s11356-020-12113-z
133. How effective are emission taxes in reducing air pollution? T. Erbertseder et al. 10.2139/ssrn.4353315
134. The impact of internal climate variability on OH trends between 2005 and 2014 Q. Zhu et al. 10.1088/1748-9326/ad4b47
135. An intercomparison of satellite, airborne, and ground-level observations with WRF–CAMx simulations of NO2 columns over Houston, Texas, during the September 2021 TRACER-AQ campaign M. Nawaz et al. 10.5194/acp-24-6719-2024
136. Five decades observing Earth’s atmospheric trace gases using ultraviolet and visible backscatter solar radiation from space G. Gonzalez Abad et al. 10.1016/j.jqsrt.2019.04.030
137. Comparison and Validation of TROPOMI and OMI NO2 Observations over China C. Wang et al. 10.3390/atmos11060636
138. Neighborhood-Level Nitrogen Dioxide Inequalities Contribute to Surface Ozone Variability in Houston, Texas I. Dressel et al. 10.1021/acsestair.4c00009
139. Comparison of TROPOMI/Sentinel-5 Precursor NO<sub>2</sub> observations with ground-based measurements in Helsinki I. Ialongo et al. 10.5194/amt-13-205-2020
140. 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
141. Long-term MAX-DOAS measurements of NO<sub>2</sub>, HCHO, and aerosols and evaluation of corresponding satellite data products over Mohali in the Indo-Gangetic Plain V. Kumar et al. 10.5194/acp-20-14183-2020
142. Satellite evidence for changes in the NO2 weekly cycle over large cities T. Stavrakou et al. 10.1038/s41598-020-66891-0
143. Inferring the anthropogenic NO<sub><i>x</i></sub> emission trend over the United States during 2003–2017 from satellite observations: was there a flattening of the emission trend after the Great Recession? J. Li & Y. Wang 10.5194/acp-19-15339-2019
144. Estimations of the Ground-Level NO2 Concentrations Based on the Sentinel-5P NO2 Tropospheric Column Number Density Product P. Grzybowski et al. 10.3390/rs15020378
145. Impact of 3D cloud structures on the atmospheric trace gas products from UV–Vis sounders – Part 1: Synthetic dataset for validation of trace gas retrieval algorithms C. Emde et al. 10.5194/amt-15-1587-2022
146. 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
147. Satellite Observation of Spatio-temporal Variations in Nitrogen Dioxide over West Africa and Implications for Regional Air Quality A. Oluleye 10.5696/2156-9614-11.31.210913
148. Predictability of fossil fuel CO2 from air quality emissions K. Miyazaki & K. Bowman 10.1038/s41467-023-37264-8
149. NO2 anomalies - Economy attribution and rapid climate response A. Savtchenko & M. Khayat 10.1016/j.atmosenv.2021.118351
150. Disentangling the Impact of the COVID‐19 Lockdowns on Urban NO2 From Natural Variability D. Goldberg et al. 10.1029/2020GL089269
151. Spatiotemporal inhomogeneity of total column NO2 in a polluted urban area inferred from TROPOMI and Pandora intercomparisons J. Park et al. 10.1080/15481603.2022.2026640
152. Large discrepancy between observed and modeled wintertime tropospheric NO2 variabilities due to COVID-19 controls in China J. Chen et al. 10.1088/1748-9326/ac4ec0
153. The attempt to estimate annual variability of NOx emission in Poland using Sentinel-5P/TROPOMI data J. Godłowska et al. 10.1016/j.atmosenv.2022.119482
154. The underappreciated role of agricultural soil nitrogen oxide emissions in ozone pollution regulation in North China X. Lu et al. 10.1038/s41467-021-25147-9
155. Atmospheric gas-phase composition over the Indian Ocean S. Tegtmeier et al. 10.5194/acp-22-6625-2022
156. Comparison of S5P/TROPOMI Inferred NO2 Surface Concentrations with In Situ Measurements over Central Europe A. Pseftogkas et al. 10.3390/rs14194886
157. 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
158. Spatio-Temporal Heterogeneous Impacts of the Drivers of NO2 Pollution in Chinese Cities: Based on Satellite Observation Data Y. Cui et al. 10.3390/rs14143487
159. 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
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161. 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
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