165 citations as recorded by crossref.

1. Tropospheric NO2: Explorative analyses of spatial variability and impact factors I. Müller et al. 10.1016/j.rse.2021.112839
2. Solar FTIR measurements of NOx vertical distributions – Part 1: First observational evidence of a seasonal variation in the diurnal increasing rates of stratospheric NO2 and NO P. Nürnberg et al. 10.5194/acp-24-3743-2024
3. Big data analyses for determining the spatio-temporal trends of air pollution due to wildfires in California using Google Earth Engine A. Saim & M. Aly 10.1016/j.apr.2024.102226
4. 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
5. 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
6. Modeling NO2 air pollution variation during and after COVID-19-regulation using principal component analysis of satellite imagery K. Kovács & I. Haidu 10.1016/j.envpol.2023.122973
7. 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
8. 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
9. Analysis of Ozone Formation Sensitivity in Chinese Representative Regions Using Satellite and Ground-Based Data Y. Li et al. 10.3390/rs16020316
10. Evolution of global O3-NOx-VOCs sensitivity before and after the COVID-19 from the ratio of formaldehyde to NO2 from satellites observations D. Wang et al. 10.1016/j.jes.2024.07.029
11. Quantifying instantaneous nitrogen oxides emissions from power plants based on space observations T. Tang et al. 10.1016/j.scitotenv.2024.173479
12. Comparing Sentinel-5P TROPOMI NO2 column observations with the CAMS regional air quality ensemble J. Douros et al. 10.5194/gmd-16-509-2023
13. Integrated Influencing Mechanism of Potential Drivers on Seasonal Variability of LST in Kolkata Municipal Corporation, India D. Bera et al. 10.3390/land11091461
14. Diagnosing air quality changes in the UK during the COVID-19 lockdown using TROPOMI and GEOS-Chem D. Potts et al. 10.1088/1748-9326/abde5d
15. Investigating Changes in Ozone Formation Chemistry during Summertime Pollution Events over the Northeastern United States M. Tao et al. 10.1021/acs.est.2c02972
16. Estimations of NOxemissions, NO2lifetime and their temporal variation over three British urbanised regions in 2019 using TROPOMI NO2observations M. Pommier 10.1039/D2EA00086E
17. Air Quality Index (AQI) Did Not Improve during the COVID-19 Lockdown in Shanghai, China, in 2022, Based on Ground and TROPOMI Observations Q. Ma et al. 10.3390/rs15051295
18. Toward a versatile spaceborne architecture for immediate monitoring of the global methane pledge Y. Wang et al. 10.5194/acp-23-5233-2023
19. Toward monitoring daily anthropogenic CO2 emissions with air pollution sensors from space H. Li & B. Zheng 10.1016/j.oneear.2024.08.019
20. Assessment of the NO2 Spatio-Temporal Variability over Thessaloniki, Greece, Using MAX-DOAS Measurements and Comparison with S5P/TROPOMI Observations D. Karagkiozidis et al. 10.3390/app13042641
21. 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
22. Estimating global 0.1° scale gridded anthropogenic CO2 emissions using TROPOMI NO2 and a data-driven method Y. Zhang et al. 10.1016/j.scitotenv.2024.175177
23. Satellite observations showed a negligible reduction in NO2 pollution due to COVID-19 lockdown over Poland E. Ugboma et al. 10.3389/fenvs.2023.1172753
24. Changes in Power Plant NOx Emissions over Northwest Greece Using a Data Assimilation Technique I. Skoulidou et al. 10.3390/atmos12070900
25. 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
26. 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
27. First-time comparison between NO2 vertical columns from Geostationary Environmental Monitoring Spectrometer (GEMS) and Pandora measurements S. Kim et al. 10.5194/amt-16-3959-2023
28. Exploiting satellite measurements to explore uncertainties in UK bottom-up NO<sub><i>x</i></sub> emission estimates R. Pope et al. 10.5194/acp-22-4323-2022
29. Advanced NO<sub>2</sub> retrieval technique for the Brewer spectrophotometer applied to the 20-year record in Rome, Italy H. Diémoz et al. 10.5194/essd-13-4929-2021
30. Determination of the human impact on the drop in NO2 air pollution due to total COVID-19 lockdown using Human-Influenced Air Pollution Decrease Index (HIAPDI) K. Kovács 10.1016/j.envpol.2022.119441
31. Assessment of Updated Fuel‐Based Emissions Inventories Over the Contiguous United States Using TROPOMI NO2 Retrievals M. Li et al. 10.1029/2021JD035484
32. 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
33. Interpreting summertime hourly variation of NO2 columns with implications for geostationary satellite applications D. Chatterjee et al. 10.5194/acp-24-12687-2024
34. Effect of Anti-COVID-19 Measures on Atmospheric Pollutants Correlated with the Economies of Medium-sized Cities in 10 Urban Areas of Grand Est Region, France K. Kovács & I. Haidu 10.1016/j.scs.2021.103173
35. Validation of TROPOMI Satellite Measurements of the NO2 Content in the Troposphere and Stratosphere with Ground-Based Measurements at the Zvenigorod Scientific Station of A.M. Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences V. Rakitin et al. 10.1134/S1024856023030168
36. 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
37. A Qualitative Assessment of the Trends, Distribution and Sources of Methane in South Africa L. Shikwambana et al. 10.3390/su14063528
38. Evaluation of the first year of Pandora NO2 measurements over Beijing and application to satellite validation O. Liu et al. 10.5194/amt-17-377-2024
39. 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
40. 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
41. Global tropospheric ozone responses to reduced NO x emissions linked to the COVID-19 worldwide lockdowns K. Miyazaki et al. 10.1126/sciadv.abf7460
42. 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
43. Vertical profiles of global tropospheric nitrogen dioxide (NO2) obtained by cloud slicing the TROPOspheric Monitoring Instrument (TROPOMI) R. Horner et al. 10.5194/acp-24-13047-2024
44. 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
45. Measurement report: MAX-DOAS measurements characterise Central London ozone pollution episodes during 2022 heatwaves R. Ryan et al. 10.5194/acp-23-7121-2023
46. Greenwashing in the US metal industry? A novel approach combining SO2 concentrations from satellite data, a plant-level firm database and web text mining S. Schmidt et al. 10.1016/j.scitotenv.2022.155512
47. HYPERNETS: a network of automated hyperspectral radiometers to validate water and land surface reflectance (380–1680 nm) from all satellite missions K. Ruddick et al. 10.3389/frsen.2024.1372085
48. NOx emissions in France in 2019–2021 as estimated by the high-spatial-resolution assimilation of TROPOMI NO2 observations R. Plauchu et al. 10.5194/acp-24-8139-2024
49. Global fine-scale changes in ambient NO2 during COVID-19 lockdowns M. Cooper et al. 10.1038/s41586-021-04229-0
50. 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
51. 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
52. Quantifying the diurnal variation in atmospheric NO2 from Geostationary Environment Monitoring Spectrometer (GEMS) observations D. Edwards et al. 10.5194/acp-24-8943-2024
53. Assessing the impact of urban form and urbanization process on tropospheric nitrogen dioxide pollution in the Yangtze River Delta, China Y. Gao et al. 10.1016/j.envpol.2023.122436
54. Short-term trends of air quality and pollutant concentrations in Nigeria from 2018–2022 using tropospheric sentinel-5P and 3A/B satellite data D. Omokpariola et al. 10.1007/s42452-024-05856-8
55. Greenwashing in the US Metal Industry? A Novel Approach Combining SO2 Concentrations From Satellite Data, a Plant-Level Firm Database and Web Text Mining S. Schmidt et al. 10.2139/ssrn.4049830
56. Satellite observations of NO2 indicate legacy impacts of redlining in U.S. Midwestern cities E. Hrycyna et al. 10.1525/elementa.2022.00027
57. Inferring and evaluating satellite-based constraints on NOx emissions estimates in air quality simulations J. East et al. 10.5194/acp-22-15981-2022
58. Evaluating TROPOMI and MODIS performance to capture the dynamic of air pollution in São Paulo state: A case study during the COVID-19 outbreak A. Rudke et al. 10.1016/j.rse.2023.113514
59. Retrieval of Tropospheric NO2 Vertical Column Densities from Ground-Based MAX-DOAS Measurements in Lhasa, a City on the Tibetan Plateau S. Cheng et al. 10.3390/rs15194689
60. Meteorological Drivers of Permian Basin Methane Anomalies Derived from TROPOMI E. Crosman 10.3390/rs13050896
61. Horizontal distribution of tropospheric NO2 and aerosols derived by dual-scan multi-wavelength multi-axis differential optical absorption spectroscopy (MAX-DOAS) measurements in Uccle, Belgium E. Dimitropoulou et al. 10.5194/amt-15-4503-2022
62. New observations of NO<sub>2</sub> in the upper troposphere from TROPOMI E. Marais et al. 10.5194/amt-14-2389-2021
63. 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
64. Ground-based MAX-DOAS observations of tropospheric formaldehyde and nitrogen dioxide: Insights into ozone formation sensitivity Y. Qian et al. 10.1016/j.apr.2024.102285
65. Estimating surface NO2 concentrations over Europe using Sentinel-5P TROPOMI observations and Machine Learning S. Shetty et al. 10.1016/j.rse.2024.114321
66. Methodological challenges in spatial and contextual exposome-health studies H. Hu et al. 10.1080/10643389.2022.2093595
67. TROPOMI tropospheric ozone column data: geophysical assessment and comparison to ozonesondes, GOME-2B and OMI D. Hubert et al. 10.5194/amt-14-7405-2021
68. Machine learning-based global air quality index development using remote sensing and ground-based stations T. Anggraini et al. 10.1016/j.envadv.2023.100456
69. Assessment of the Performance of TROPOMI NO2 and SO2 Data Products in the North China Plain: Comparison, Correction and Application C. Wang et al. 10.3390/rs14010214
70. High-resolution mapping of nitrogen oxide emissions in large US cities from TROPOMI retrievals of tropospheric nitrogen dioxide columns F. Liu et al. 10.5194/acp-24-3717-2024
71. Tracing out the effect of transportation infrastructure on NO2 concentration levels with Kernel Density Estimation by investigating successive COVID-19-induced lockdowns K. Kovács & I. Haidu 10.1016/j.envpol.2022.119719
72. A Simple and Effective Random Forest Refit to Map the Spatial Distribution of NO2 Concentrations Y. Chi & Y. Zhan 10.3390/atmos13111832
73. Association between satellite-detected tropospheric nitrogen dioxide and acute respiratory infections in children under age five in Senegal: spatio-temporal analysis A. Kawano et al. 10.1186/s12889-022-12577-3
74. A wide-ranging investigation of the COVID-19 lockdown effects on the atmospheric composition in various Italian urban sites (AER – LOCUS) M. Campanelli et al. 10.1016/j.uclim.2021.100954
75. Glyoxal tropospheric column retrievals from TROPOMI – multi-satellite intercomparison and ground-based validation C. Lerot et al. 10.5194/amt-14-7775-2021
76. Fiducial Reference Measurements for Air Quality Monitoring Using Ground-Based MAX-DOAS Instruments (FRM4DOAS) M. Van Roozendael et al. 10.3390/rs16234523
77. 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
78. Analysis of Wildfires in the Mid and High Latitudes Using a Multi-Dataset Approach: A Case Study in California and Krasnoyarsk Krai L. Shikwambana & J. Habarulema 10.3390/atmos13030428
79. 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
80. Observing low-altitude features in ozone concentrations in a shoreline environment via uncrewed aerial systems J. Radtke et al. 10.5194/amt-17-2833-2024
81. Ground-based MAX-DOAS observations of formaldehyde and glyoxal in Xishuangbanna, China Y. Zhang et al. 10.1016/j.jes.2024.04.036
82. Peculiar COVID-19 effects in the Greater Tokyo Area revealed by spatiotemporal variabilities of tropospheric gases and light-absorbing aerosols A. Damiani et al. 10.5194/acp-22-12705-2022
83. A Systematic Approach to Identify Shipping Emissions Using Spatio-Temporally Resolved TROPOMI Data J. Kim et al. 10.3390/rs15133453
84. Ground-based Multi-AXis Differential Optical Absorption Spectroscopy (MAX-DOAS) observations of NO2 and H2CO at Kinshasa and comparisons with TROPOMI observations R. Yombo Phaka et al. 10.5194/amt-16-5029-2023
85. Towards a New MAX-DOAS Measurement Site in the Po Valley: NO2 Total VCDs P. Pettinari et al. 10.3390/rs14163881
86. Estimating surface-level nitrogen dioxide concentrations from Sentinel-5P/TROPOMI observations in Finland H. Virta et al. 10.1016/j.atmosenv.2023.119989
87. A remote sensing based study of tropospheric ozone concentration amid COVID-19 lockdown over India using Sentinel-5P satellite data A. Reshi et al. 10.1080/10106049.2022.2123957
88. Monitoring the impact of the Corona pandemic on nitrogen dioxide emissions at large scales via Google Earth Engine N. Öçer et al. 10.3986/AGS.13454
89. 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
90. Preliminary Global NO2 Retrieval from EMI-II Onboard GF5B/DQ1 and Comparison to TROPOMI L. Cheng et al. 10.3390/rs16214087
91. Validation of GEMS tropospheric NO2 columns and their diurnal variation with ground-based DOAS measurements K. Lange et al. 10.5194/amt-17-6315-2024
92. Impacts and Drivers of Summer Wildfires in the Cape Peninsula: A Remote Sensing Approach K. Xongo et al. 10.3390/fire7080267
93. 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
94. Comparison of TROPOMI NO2, CO, HCHO, and SO2 data against ground‐level measurements in close proximity to large anthropogenic emission sources in the example of Ukraine M. Savenets et al. 10.1002/met.2108
95. An improved TROPOMI tropospheric NO<sub>2</sub> research product over Europe S. Liu et al. 10.5194/amt-14-7297-2021
96. 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
97. Applications of Sentinel-5P TROPOMI Satellite Sensor: A Review A. Reshi et al. 10.1109/JSEN.2024.3355714
98. Can TROPOMI NO2satellite data be used to track the drop in and resurgence of NOxemissions in Germany between 2019–2021 using the multi-source plume method (MSPM)? E. Dammers et al. 10.5194/gmd-17-4983-2024
99. Variability of nitrogen oxide emission fluxes and lifetimes estimated from Sentinel-5P TROPOMI observations K. Lange et al. 10.5194/acp-22-2745-2022
100. The worldwide COVID-19 lockdown impacts on global secondary inorganic aerosols and radiative budget T. Sekiya et al. 10.1126/sciadv.adh2688
101. Photochemical sensitivity to emissions and local meteorology in Bogotá, Santiago, and São Paulo R. Seguel et al. 10.1525/elementa.2021.00044
102. 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
103. Nitrogen dioxide spatiotemporal variations in the complex urban environment of Athens, Greece T. Drosoglou et al. 10.1016/j.atmosenv.2023.120115
104. Introducing new lightning schemes into the CHASER (MIROC) chemistry–climate model Y. He et al. 10.5194/gmd-15-5627-2022
105. Mobile MAX-DOAS observations of tropospheric NO2 and HCHO during summer over the Three Rivers' Source region in China S. Cheng et al. 10.5194/acp-23-3655-2023
106. The Temporal–Spatial Characteristics of Column NO2 Concentration and Influence Factors in Xinjiang of Northwestern Arid Region in China Z. Yu & X. Li 10.3390/atmos13101533
107. Global Ozone Monitoring Experiment-2 (GOME-2) daily and monthly level-3 products of atmospheric trace gas columns K. Chan et al. 10.5194/essd-15-1831-2023
108. NO2 Air Pollution Trends and Settlement Growth in Megacities T. Erbertseder et al. 10.1109/JSTARS.2024.3419573
109. Quantifying NOx Emissions from U.S. Oil and Gas Production Regions Using TROPOMI NO2 B. Dix et al. 10.1021/acsearthspacechem.1c00387
110. Spatial Distribution of Multiple Atmospheric Pollutants in China from 2015 to 2020 Y. Chi et al. 10.3390/rs15245705
111. 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
112. Assessment of surface ozone production in Qinghai, China with satellite-constrained VOCs and NOx emissions W. Li et al. 10.1016/j.scitotenv.2023.166602
113. 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
114. Direct measurements of ozone response to emissions perturbations in California S. Wu et al. 10.5194/acp-22-4929-2022
115. Tracking the Transport of SO2 and Sulphate Aerosols from the Tonga Volcanic Eruption to South Africa L. Shikwambana et al. 10.3390/atmos14101556
116. Variations of Urban NO2 Pollution during the COVID-19 Outbreak and Post-Epidemic Era in China: A Synthesis of Remote Sensing and In Situ Measurements C. Zhao et al. 10.3390/rs14020419
117. Global Observations of Tropospheric Bromine Monoxide (BrO) Columns From TROPOMI Y. Chen et al. 10.1029/2023JD039091
118. The Impact of Springtime‐Transported Air Pollutants on Local Air Quality With Satellite‐Constrained NOx Emission Adjustments Over East Asia J. Jung et al. 10.1029/2021JD035251
119. Aggravated surface O3 pollution primarily driven by meteorological variations in China during the 2020 COVID-19 pandemic lockdown period Z. Lu et al. 10.5194/acp-24-7793-2024
120. 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
121. 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
122. Biomass burning nitrogen dioxide emissions derived from space with TROPOMI: methodology and validation D. Griffin et al. 10.5194/amt-14-7929-2021
123. Evaluation of TROPOMI and OMI Tropospheric NO2 Products Using Measurements from MAX-DOAS and State-Controlled Stations in the Jiangsu Province of China K. Cai et al. 10.3390/atmos13060886
124. 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
125. Analysis of NO2 and O3 Total Columns from DOAS Zenith-Sky Measurements in South Italy P. Pettinari et al. 10.3390/rs14215541
126. Interpreting Geostationary Environment Monitoring Spectrometer (GEMS) geostationary satellite observations of the diurnal variation in nitrogen dioxide (NO2) over East Asia L. Yang et al. 10.5194/acp-24-7027-2024
127. 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
128. 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. 10.5194/essd-16-5287-2024
129. Quantifying NOx emissions in Egypt using TROPOMI observations A. Rey-Pommier et al. 10.5194/acp-22-11505-2022
130. Stereoscopic hyperspectral remote sensing of the atmospheric environment: Innovation and prospects C. Liu et al. 10.1016/j.earscirev.2022.103958
131. Validation of Sentinel-5P TROPOMI tropospheric NO2 products by comparison with NO2 measurements from airborne imaging DOAS, ground-based stationary DOAS, and mobile car DOAS measurements during the S5P-VAL-DE-Ruhr campaign K. Lange et al. 10.5194/amt-16-1357-2023
132. Assessment of Spatial and Temporal Variation in NO2 Levels over Tourist Reception Areas in Poland D. Mochocki & W. Zgłobicki 10.3390/app13169477
133. Yearly and Daily Relationship Assessment between Air Pollution and Early-Stage COVID-19 Incidence: Evidence from 231 Countries and Regions Y. Meng et al. 10.3390/ijgi10060401
134. Compositional Constraints are Vital for Atmospheric PM2.5 Source Attribution over India S. Pai et al. 10.1021/acsearthspacechem.2c00150
135. Satellite spectroscopy reveals the atmospheric consequences of the 2022 Russia-Ukraine war C. Zhang et al. 10.1016/j.scitotenv.2023.161759
136. A new method for inferring city emissions and lifetimes of nitrogen oxides from high-resolution nitrogen dioxide observations: a model study F. Liu et al. 10.5194/acp-22-1333-2022
137. 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
138. 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
139. Trans-boundary spatio-temporal analysis of Sentinel 5P tropospheric nitrogen dioxide and total carbon monoxide columns over Punjab and Haryana Regions with COVID-19 lockdown impact Y. Shabbir et al. 10.1007/s10661-024-12458-9
140. Unveiling Air Pollution in Crimean Mountain Rivers: Analysis of Sentinel-5 Satellite Images Using Google Earth Engine (GEE) V. Tabunschik et al. 10.3390/rs15133364
141. A lightweight NO2-to-NOx conversion model for quantifying NOx emissions of point sources from NO2 satellite observations S. Meier et al. 10.5194/acp-24-7667-2024
142. Assessing Nitrogen Dioxide in the Highveld Troposphere: Pandora Insights and TROPOMI Sentinel-5P Evaluation R. Kai-Sikhakhane et al. 10.3390/atmos15101187
143. Informing Near-Airport Satellite NO2 Retrievals Using Pandora Sky-Scanning Observations A. Mouat et al. 10.1021/acsestair.4c00158
144. Decoding seasonal variability of air pollutants with climate factors: A geostatistical approach using multimodal regression models for informed climate change mitigation S. Morshed et al. 10.1016/j.envpol.2024.123463
145. 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
146. 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
147. Seasonal and trend variation of methane concentration over two provinces of South Africa using Sentinel-5p data S. Sibiya et al. 10.1007/s10661-024-12871-0
148. Accounting for NOx emissions from biomass burning and urbanization doubles existing inventories over South, Southeast and East Asia J. Liu et al. 10.1038/s43247-024-01424-5
149. 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
150. 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
151. Estimate of near-surface NO2 concentrations in Fenwei Plain, China, based on TROPOMI data and random forest model Y. Wu et al. 10.1007/s10661-023-11993-1
152. Long-term observations of NO2, SO2, HCHO, and CHOCHO over the Himalayan foothills: Insights from MAX-DOAS, TROPOMI, and GOME-2 P. Rawat et al. 10.1016/j.atmosenv.2024.120746
153. 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
154. Enhanced monitoring of atmospheric methane from space over the Permian basin with hierarchical Bayesian inference C. Roberts et al. 10.1088/1748-9326/ac7062
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