207 citations as recorded by crossref.

1. Spatiotemporal inhomogeneity of total column NO2 in a polluted urban area inferred from TROPOMI and Pandora intercomparisons J. Park et al.
2. 卫星观测港口CO2排放间接估算：以日照港为例 陆. Lu Lingxiao et al.
3. COVID-19 pandemic impacted differently air quality in Latin American cities O. Atiaga et al.
4. 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.
5. Evaluation of the Potential of Sentinel-5P TROPOMI and AIS Marine Traffic Data for the Monitoring of Anthropogenic Activity and Maritime Transport NOx-Emissions in Canary Islands Waters M. Rodriguez Valido et al.
6. Assessing nitrogen dioxide monitoring techniques: a comparative analysis of Sentinel-5 Precursor satellite and ground measurements in Catalonia D. Garcia Santos & M. Parés
7. Analyzing COVID-19 Impacts on Vehicle Travels and Daily Nitrogen Dioxide (NO2) Levels among Florida Counties A. Karaer et al.
8. Tropospheric NO2 and O3 Response to COVID‐19 Lockdown Restrictions at the National and Urban Scales in Germany V. Balamurugan et al.
9. Air Quality Response in China Linked to the 2019 Novel Coronavirus (COVID‐19) Lockdown K. Miyazaki et al.
10. COVID-19 lockdown air quality change implications for solar energy generation over China K. Choi & H. Brindley
11. How does air quality reflect the land cover changes: remote sensing approach using Sentinel data P. Guamán-Pintado et al.
12. Air quality trends and implications pre and post Covid-19 restrictions A. Cardito et al.
13. Spatiotemporal estimation of surface NO2 concentrations in the Pearl River Delta region based on TROPOMI data and machine learning Q. Wei et al.
14. Sudden changes in nitrogen dioxide emissions over Greece due to lockdown after the outbreak of COVID-19 M. Koukouli et al.
15. Satellite detection of NO2 distributions using TROPOMI and TEMPO and comparison with ground-based concentration measurements S. Acker et al.
16. Improving the quantification of fine particulates (PM2.5) concentrations in Malaysia using simplified and computationally efficient models N. Zaman et al.
17. Unveiling urban air quality dynamics during COVID-19: a Sentinel-5P TROPOMI hotspot analysis A. Mathew et al.
18. Exploring climate pollutants levels and variations in Islamabad's built-environment: A nature-based policy framework for sustainable emissions management H. Qadeer et al.
19. Spatial drivers of atmospheric NO2 and NH3 in China: Disentangling source- versus process-driven controls S. Wang et al.
20. Emissions of nitrogen dioxide in the northeast U.S. during the 2020 COVID-19 lockdown S. Azad & M. Ghandehari
21. Evaluating Machine Learning and Remote Sensing in Monitoring NO2 Emission of Power Plants A. Alnaim et al.
22. Towards a New MAX-DOAS Measurement Site in the Po Valley: Aerosol Optical Depth and NO2 Tropospheric VCDs E. Castelli et al.
23. Spatiotemporal variations in atmospheric CH4 concentrations and enhancements in northern China based on a comprehensive dataset: ground-based observations, TROPOMI data, inventory data, and inversions P. Han et al.
24. Peculiar COVID-19 effects in the Greater Tokyo Area revealed by spatiotemporal variabilities of tropospheric gases and light-absorbing aerosols A. Damiani et al.
25. 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.
26. A five-year Study Using Sentinel-5P Data Observing Seasonal Dynamics and Long-term Trends of Atmospheric Pollutants H. Mohamed et al.
27. Inferring ground-level nitrogen dioxide concentrations at fine spatial resolution applied to the TROPOMI satellite instrument M. Cooper et al.
28. 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
29. Green space coverage versus air pollution: a cloud-based remote sensing data analysis in Sichuan, Western China A. Naboureh et al.
30. Spatial-Temporal analysis of urban environmental variables using building height features M. Kakooei & Y. Baleghi
31. Deriving cropland N2O emissions from space-based NO2 observations T. Adams et al.
32. Assessment of Airport-Related Emissions and Their Impact on Air Quality in Atlanta, GA, Using CMAQ and TROPOMI A. Lawal et al.
33. Characterization of Pandora Sky-Scan Modes from the Japan Pandora Network and Evaluation of Their Use in Validating Satellite NO2 and HCHO Retrievals N. Chi et al.
34. Air quality changes in Ukraine during the April 2020 wildfire event M. Savenets et al.
35. CLASP: CLustering of Atmospheric Satellite Products and Its Applications in Feature Detection of Atmospheric Trace Gases T. Lee & Y. Wang
36. Nitrogen Dioxide (NO2) Pollution Monitoring with Sentinel-5P Satellite Imagery over Europe during the Coronavirus Pandemic Outbreak M. Vîrghileanu et al.
37. Assessing vulnerability of densely populated areas to air pollution using Sentinel-5P imageries: a case study of the Nile Delta, Egypt M. Hassaan et al.
38. Inversion-based assessment of anthropogenic NOx emission changes in Ukraine during the 2022–2023 war using TROPOMI satellite data Y. Mao et al.
39. Assessment of air quality and damage caused after an anthropogenic disaster in the city of Beirut S. Jayalakshmi et al.
40. On the influence of vertical mixing, boundary layer schemes, and temporal emission profiles on tropospheric NO2 in WRF-Chem – comparisons to in situ, satellite, and MAX-DOAS observations L. Kuhn et al.
41. 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.
42. NO2 emissions from oil refineries in the Mississippi Delta M. Filonchyk & M. Peterson
43. Scalable data processing and visualization service of Sentinel 5P for Earth Observations Data Cubes H. Astsatryan et al.
44. Declines and peaks in NO2 pollution during the multiple waves of the COVID-19 pandemic in the New York metropolitan area M. Tzortziou et al.
45. 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.
46. Potential of TROPOMI for understanding spatio-temporal variations in surface NO2 and their dependencies upon land use over the Iberian Peninsula H. Petetin et al.
47. Evaluating Sentinel-5P TROPOMI tropospheric NO2 column densities with airborne and Pandora spectrometers near New York City and Long Island Sound L. Judd et al.
48. Spatiotemporal mapping and assessment of daily ground NO2 concentrations in China using high-resolution TROPOMI retrievals S. Wu et al.
49. Nitrogen dioxide reductions from satellite and surface observations during COVID-19 mitigation in Rome (Italy) C. Bassani et al.
50. Air pollution in Vietnam during the COVID-19 social isolation, evidence of reduction in human activities T. Ngo et al.
51. Assessment of the TROPOMI tropospheric NO2 product based on airborne APEX observations F. Tack et al.
52. Limitations of Polar-Orbiting Satellite Observations in Capturing the Diurnal Variability of Tropospheric NO2: A Case Study Using TROPOMI, GOME-2C, and Pandora Data Y. Li et al.
53. Non-uniform tropospheric NO2 level changes in European Union caused by governmental COVID-19 restrictions and geography G. Varga et al.
54. Assessment of Landfill Gas Dispersion and Health Risks Using AERMOD and TROPOMI Satellite Data: A Case Study of the Thohoyandou Landfill, South Africa P. Njoku et al.
55. Assessment of Spatial and Temporal Variation in NO2 Levels over Tourist Reception Areas in Poland D. Mochocki & W. Zgłobicki
56. 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.
57. Significant annual variations of firework-impacted aerosols in Northeast China: Implications for rethinking the firework bans Y. Cheng et al.
58. Evaluation of the WRF-Chem performance for the air pollutants over the United Arab Emirates Y. Yarragunta et al.
59. Assessing the Impact of Land Use and Land Cover Change on Air Quality in East Baton Rouge—Louisiana Using Earth Observation Techniques D. Frimpong et al.
60. Ground-based validation of the Copernicus Sentinel-5P TROPOMI NO2 measurements with the NDACC ZSL-DOAS, MAX-DOAS and Pandonia global networks T. Verhoelst et al.
61. Sensitivity of total column NO2 at a marine site within the Chesapeake Bay during OWLETS-2 A. Kotsakis et al.
62. Evaluation of the coupled high-resolution atmospheric chemistry model system MECO(n) using in situ and MAX-DOAS NO2 measurements V. Kumar et al.
63. Nitrogen dioxide spatiotemporal variations in the complex urban environment of Athens, Greece T. Drosoglou et al.
64. Informing Near-Airport Satellite NO2 Retrievals Using Pandora Sky-Scanning Observations A. Mouat et al.
65. The impact of anthropogenic emissions sectors on the weekly cycle of ambient NO2 across China J. Gu et al.
66. A satellite-based, near real-time, street-level resolution air pollutants monitoring system using machine learning for personalised skin health applications R. Temple et al.
67. Disentangling the Impact of the COVID‐19 Lockdowns on Urban NO2 From Natural Variability D. Goldberg et al.
68. Unveiling Air Pollution in Crimean Mountain Rivers: Analysis of Sentinel-5 Satellite Images Using Google Earth Engine (GEE) V. Tabunschik et al.
69. Spatiotemporal Dynamics of Urban Air Pollution in Dhaka City (2020–2024) Using Time-Series Sentinel-5P Satellite Images and Google Earth Engine (GEE) M. Rahman et al.
70. Google Earth Engine based spatio-temporal analysis of air pollutants before and during the first wave COVID-19 outbreak over Turkey via remote sensing F. Ghasempour et al.
71. Trends of CO and NO2 Pollutants in Iran during COVID-19 Pandemic Using Timeseries Sentinel-5 Images in Google Earth Engine S. Shami et al.
72. 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.
73. Análisis de datos satelitales de NO₂ en entornos urbanos: estudio de caso en la ciudad de Madrid C. Morillas López
74. Comparison and Validation of TROPOMI and OMI NO2 Observations over China C. Wang et al.
75. Coupling Remote Sensing Insights With Vegetation Dynamics and to Analyze NO2 Concentrations: A Google Earth Engine-Driven Investigation X. Zheng et al.
76. Identifying surface sulphur dioxide (SO2) monitoring gaps in Saint John, Canada with land use regression and hot spot mapping T. Siu et al.
77. Grid-stretching capability for the GEOS-Chem 13.0.0 atmospheric chemistry model L. Bindle et al.
78. Spatiotemporal Investigations of Multi-Sensor Air Pollution Data over Bangladesh during COVID-19 Lockdown Z. Qiu et al.
79. Estimation of NO2 emission strengths over Riyadh and Madrid from space from a combination of wind-assigned anomalies and a machine learning technique Q. Tu et al.
80. Unveiling nitrogen oxide emissions from open-pit copper mines through satellite observations I. Ialongo et al.
81. Air Quality Monitoring Using Sentinel-5p TROPOMI—A Case Study of Pune City S. Shah et al.
82. Assessment of NO2 population exposure from 2005 to 2020 in China Z. Huang et al.
83. Evaluation of the first year of Pandora NO2 measurements over Beijing and application to satellite validation O. Liu et al.
84. Maximizing the scientific application of Pandora column observations of HCHO and NO2 P. Rawat et al.
85. Comprehensive Insights Into O3 Changes During the COVID‐19 From O3 Formation Regime and Atmospheric Oxidation Capacity S. Zhu et al.
86. Monitoring the Impacts of Human Activities on Urban Ecosystems Based on the Enhanced UCCLN (EUCCLN) Model N. Abbaszadeh Tehrani et al.
87. Satellite-based estimates of nitrogen oxide and methane emissions from gas flaring and oil production activities in Sakha Republic, Russia I. Ialongo et al.
88. TROPOMI NO2 Tropospheric Column Data: Regridding to 1 km Grid-Resolution and Assessment of their Consistency with In Situ Surface Observations A. Cersosimo et al.
89. Estimating daily ground-level NO2 concentrations over China based on TROPOMI observations and machine learning approach S. Long et al.
90. Air pollution impacts of COVID-19–related containment measures G. Chossière et al.
91. High-resolution modeling of gaseous air pollutants over Tehran and validation with surface and satellite data N. Shahrokhishahraki et al.
92. NitroNet – a machine learning model for the prediction of tropospheric NO2 profiles from TROPOMI observations L. Kuhn et al.
93. An improved TROPOMI tropospheric NO2 research product over Europe S. Liu et al.
94. The Temporal–Spatial Characteristics of Column NO2 Concentration and Influence Factors in Xinjiang of Northwestern Arid Region in China Z. Yu & X. Li
95. Assessing the Impact of Corona-Virus-19 on Nitrogen Dioxide Levels over Southern Ontario, Canada D. Griffin et al.
96. Quantifying instantaneous nitrogen oxides emissions from power plants based on space observations T. Tang et al.
97. 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.
98. Air quality estimation using remote sensing and GIS-spatial technologies along Al-Shamal train pathway, Al-Qurayyat City in Saudi Arabia S. Al-Alola et al.
99. Changes in Power Plant NOx Emissions over Northwest Greece Using a Data Assimilation Technique I. Skoulidou et al.
100. An integrated analysis of air pollution from US coal-fired power plants M. Filonchyk & M. Peterson
101. Remote Sensing and Geographic Information Systems Detection of Fossil Fuel Air Pollution Impact in Socially Fragile Areas B. Güllüdağ et al.
102. 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.
103. A New Algorithm for the Global-Scale Quantification of Volcanic SO2 Exploiting the Sentinel-5P TROPOMI and Google Earth Engine M. Dozzo et al.
104. Tropospheric nitrogen dioxide levels vary diurnally in Asian cities J. Park et al.
105. 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.
106. The Impact of Changes in Anthropogenic Activity Caused by COVID-19 Lockdown on Reducing Nitrogen Dioxide Levels in Thailand Using Nighttime Light Intensity N. Thongrueang et al.
107. 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.
108. Improving machine-learned surface NO2 concentration mapping models with domain knowledge from data science perspective M. Hu et al.
109. Long-term trends in OMI-retrieved NO2 and SO2 concentrations over the Arabian Peninsula Y. Yarragunta et al.
110. A machine learning model to estimate ground-level ozone concentrations in California using TROPOMI data and high-resolution meteorology W. Wang et al.
111. Comparison of S5P/TROPOMI Inferred NO2 Surface Concentrations with In Situ Measurements over Central Europe A. Pseftogkas et al.
112. 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.
113. Estimation of OH in urban plumes using TROPOMI-inferred NO2 ∕ CO S. Lama et al.
114. Quantifying Urban Nitrogen Dioxide Emission From Space Based on Cross-Sectional Flux Method and Satellite Data X. Ye et al.
115. The Dynamics of Air Pollution in the Southwestern Part of the Caspian Sea Basin (Based on the Analysis of Sentinel-5 Satellite Data Utilizing the Google Earth Engine Cloud-Computing Platform) V. Tabunshchik et al.
116. Environmental dust effect phenomenon on the sustainability of urban areas using remote sensing data in GEE V. Isazade et al.
117. Machine learning-based estimation of ground-level NO2 concentrations over China Y. Chi et al.
118. Environmental impact of COVID-19 led lockdown: A satellite data-based assessment of air quality in Indian megacities S. Prakash et al.
119. Evaluation of the LOTOS-EUROS NO2 simulations using ground-based measurements and S5P/TROPOMI observations over Greece I. Skoulidou et al.
120. Evaluation of spatial distribution and temporal trend of nitrogen dioxide ($${{\varvec{N}}{\varvec{O}}}_{2}$$) pollution using Sentinel-5P satellite imagery over Afghanistan based on Google Earth Engine M. Nabizada et al.
121. Improved daily PM 2.5 estimates in India reveal inequalities in recent enhancement of air quality A. Kawano et al.
122. 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
123. Assessing Nitrogen Dioxide in the Highveld Troposphere: Pandora Insights and TROPOMI Sentinel-5P Evaluation R. Kai-Sikhakhane et al.
124. Effect of vegetation and land surface temperature on NO2 concentration: A Google Earth Engine-based remote sensing approach S. Rahaman et al.
125. Improvement in air quality and its impact on land surface temperature in major urban areas across India during the first lockdown of the pandemic B. Parida et al.
126. Potential Errors in CMAQ NO:NO2 Ratios and Upper Tropospheric NO2 Impacting the Interpretation of TROPOMI Retrievals A. Lawal et al.
127. Mapping urban heat islands in Pune, India: ecological impacts and environmental challenges A. Raj et al.
128. A machine learning-based approach for fusing measurements from standard sites, low-cost sensors, and satellite retrievals: Application to NO2 pollution hotspot identification J. Fu et al.
129. 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
130. Hybrid transformer and physics-informed neural operator for correcting TEMPO NO2 biases over North America S. Kayastha et al.
131. Satellite data to support air quality assessment and management T. Holloway et al.
132. The Development and Application of Machine Learning in Atmospheric Environment Studies L. Zheng et al.
133. Comparison of GEMS v3.0 tropospheric NO 2 columns with ground-based DOAS instruments in Ulsan K. Bae et al.
134. Global analysis of nitrogen dioxide and formaldehyde column densities from the Pandora global network: Variability and implications for satellite validation J. Park et al.
135. Synergistic use of satellite and in-situ data for policy-relevant air quality information: A case study on Belgium T. Verhoelst et al.
136. Monitoring and Comparative Analysis of NO2 and HCHO in Shanghai Using Dual-Azimuth Scanning MAX-DOAS and TROPOMI H. Ren et al.
137. 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.
138. Sentinel-5P Uydu Verileri ve Makine Öğrenmesi Yöntemiyle İzmir Atmosferinde Saatlik NO2 Konsantrasyonlarının Tahmini E. Bilgiç & T. Elbir
139. Uncertainty assessment of TROPOMI NO2 over Europe using ground-based remote sensing observations F. Cifuentes et al.
140. NO2 mapping of Perth bushfire utilizing Sentinel-5P TROPOMI S. Neyrizi et al.
141. Direct estimates of biomass burning NOx emissions and lifetimes using daily observations from TROPOMI X. Jin et al.
142. Observing Nitrogen Dioxide Air Pollution Inequality Using High-Spatial-Resolution Remote Sensing Measurements in Houston, Texas M. Demetillo et al.
143. Spatiotemporal variability/stability analysis of NO 2 , CO, and land surface temperature (LST) during COVID-19 lockdown in Amman city, Jordan A. Almagbile & K. Hazaymeh
144. High-Resolution Daily Spatiotemporal Distribution and Evaluation of Ground-Level Nitrogen Dioxide Concentration in the Beijing–Tianjin–Hebei Region Based on TROPOMI Data C. Liu et al.
145. Monitoring Trends of CO, NO2, SO2, and O3 Pollutants Using Time-Series Sentinel-5 Images Based on Google Earth Engine M. Kazemi Garajeh et al.
146. Atmospheric methane dynamics and its associations with environmental factors in the mid-Indo-Gangetic region (Bihar), India A. Dass et al.
147. Sentinel satellite data monitoring of air pollutants with interpolation methods in Guayaquil, Ecuador D. Mejía C. et al.
148. Air Quality Improvement Following COVID-19 Lockdown Measures and Projected Benefits for Environmental Health Y. Liou et al.
149. Assessment of tropospheric NO2 concentrations over greater Doha using Sentinel-5 TROPOspheric monitoring instrument (TROPOMI) satellite data: Temporal analysis, 2018–2023 Y. Mohieldeen et al.
150. Spatial representativeness of NO2 monitoring stations with respect to Sentinel-5P satellite based estimates P. Grzybowski et al.
151. Relation between total vertical column density and near-surface NO2 based on in situ and Pandora ground-based remote sensing observations Y. Zhang et al.
152. Linking Satellite and Ground Observations of NO2 in Spanish Cities: Influence of Meteorology and O3 C. Morillas et al.
153. Global air quality index prediction using integrated spatial observation data and geographics machine learning T. Anggraini et al.
154. 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.
155. An Improved Hybrid GC-LSTM Framework for Hourly Nowcasting of Ground-Level NO2 Concentrations Over Beijing-Tianjin– Hebei Region Z. Han et al.
156. Examining the status of improved air quality in world cities due to COVID-19 led temporary reduction in anthropogenic emissions S. Sannigrahi et al.
157. Quantifying urban, industrial, and background changes in NO2 during the COVID-19 lockdown period based on TROPOMI satellite observations V. Fioletov et al.
158. Estimation of Surface-Level NO2 Using Satellite Remote Sensing and Machine Learning: A review M. Siddique et al.
159. Assessment of the quality of TROPOMI high-spatial-resolution NO2 data products in the Greater Toronto Area X. Zhao et al.
160. Direct measurements of ozone response to emissions perturbations in California S. Wu et al.
161. Satellite-detected tropospheric nitrogen dioxide and spread of SARS-CoV-2 infection in Northern Italy T. Filippini et al.
162. Assessment of the Relationship between Air Pollution and Land Surface Temperature in Basrah City, Southern Iraq N. Aziz et al.
163. Improving estimation of surface PM2.5 by including satellite observations of gases, aerosols, and radiation in tandem J. Kang et al.
164. Air Pollution Patterns Mapping of SO2, NO2, and CO Derived from TROPOMI over Central-East Europe B. Wieczorek
165. Predictors of land-surface temperature and air pollution across Canadian cities are largely scale and city dependent I. Richmond et al.
166. Estimations of the Ground-Level NO2 Concentrations Based on the Sentinel-5P NO2 Tropospheric Column Number Density Product P. Grzybowski et al.
167. Recent Results on Science and Innovation Related to Electrical Processes of Thunderstorms C. Köhn et al.
168. New observations of NO2 in the upper troposphere from TROPOMI E. Marais et al.
169. Using Data from Earth Observation to Support Sustainable Development Indicators: An Analysis of the Literature and Challenges for the Future A. Andries et al.
170. NO2 Emissions at Highway Toll Stations: Integrated Satellite and Traffic Data Insights from Holiday Analysis X. Yang et al.
171. Enhancing spatiotemporal coverage of satellite-derived high-resolution NO2 data with a super-resolution model M. Zhang et al.
172. Air pollution observation—bridging spaceborne to unmanned airborne remote sensing: a systematic review and meta-analysis F. Javan et al.
173. Variability of nitrogen oxide emission fluxes and lifetimes estimated from Sentinel-5P TROPOMI observations K. Lange et al.
174. Synergizing google earth engine and earth observations for potential impact of land use/ land cover on air quality K. Jodhani et al.
175. Validation of TROPOMI tropospheric NO2 columns using dual-scan multi-axis differential optical absorption spectroscopy (MAX-DOAS) measurements in Uccle, Brussels E. Dimitropoulou et al.
176. Environmental impacts of shifts in energy, emissions, and urban heat island during the COVID-19 lockdown across Pakistan G. Ali et al.
177. Evaluating NOx emissions and their effect on O3 production in Texas using TROPOMI NO2 and HCHO D. Goldberg et al.
178. NO2 retrievals from NOAA-20 OMPS: Algorithm, evaluation, and observations of drastic changes during COVID-19 X. Huang et al.
179. Accurate space-based NOx emission estimates with the flux divergence approach require fine-scale model information on local oxidation chemistry and profile shapes F. Cifuentes et al.
180. A Land Use Regression Model to Estimate Ambient Concentrations of PM10 and SO2 in İzmit, Turkey E. Yücer et al.
181. Reliability Analysis Based on Air Quality Characteristics in East Asia Using Primary Data from the Test Operation of Geostationary Environment Monitoring Spectrometer (GEMS) W. Choi et al.
182. Spatio-temporal evaluation of air pollution using ground-based and satellite data during COVID-19 in Ecuador D. Mejía C et al.
183. 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.
184. 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.
185. Estimating surface-level nitrogen dioxide concentrations from Sentinel-5P/TROPOMI observations in Finland H. Virta et al.
186. GEMS逐小时对流层NO2产品数据质量评价与提升：以华东地区为例 高. Gao Hongrui et al.
187. Leveraging High-Resolution Satellite-Derived NO2 Estimates to Evaluate NO2 Exposure Representativeness and Socioeconomic Disparities N. Kim & H. Lee
188. Quantifying interprovincial NO₂ transport over the Yangtze River Delta: dynamics and drivers Z. Sun et al.
189. Estimation of SO2 concentration and coupling model of exposure risk based on CatBoost and multiple meteorological parameters X. Yang et al.
190. Comparing Sentinel-5P TROPOMI NO2 column observations with the CAMS regional air quality ensemble J. Douros et al.
191. 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.
192. Examining land surface temperature and relations with the major air pollutants: A remote sensing research in case of Tehran K. Fuladlu & H. Altan
193. Investigating effect of COVID-19 on NO2 density using remote sensing products (case study: Tehran province) N. Abbaszadeh Tehrani et al.
194. Utilizing machine learning for high resolution NO2 total columns from PACE OCI Z. Fasnacht et al.
195. Markers of economic activity in satellite aerosol optical depth data S. Kondragunta et al.
196. Shipborne MAX-DOAS measurements for validation of TROPOMI NO2 products P. Wang et al.
197. Cross-evaluating WRF-Chem v4.1.2, TROPOMI, APEX, and in situ NO2 measurements over Antwerp, Belgium C. Poraicu et al.
198. National ground-level NO2 predictions via satellite imagery driven convolutional neural networks E. Cao
199. Meteorological Drivers of Permian Basin Methane Anomalies Derived from TROPOMI E. Crosman
200. A Simple and Effective Random Forest Refit to Map the Spatial Distribution of NO2 Concentrations Y. Chi & Y. Zhan
201. Estimating surface NO2 concentrations over Europe using Sentinel-5P TROPOMI observations and Machine Learning S. Shetty et al.
202. Air Quality in Two Northern Greek Cities Revealed by Their Tropospheric NO2 Levels M. Koukouli et al.
203. High-resolution mapping of nitrogen oxide emissions in large US cities from TROPOMI retrievals of tropospheric nitrogen dioxide columns F. Liu et al.
204. COVID‐19 Induced Fingerprints of a New Normal Urban Air Quality in the United States S. Kondragunta et al.
205. Assessment of the Performance of TROPOMI NO2 and SO2 Data Products in the North China Plain: Comparison, Correction and Application C. Wang et al.
206. Enhanced validation and application of satellite-derived formaldehyde data for assessing photochemical pollution in the Chinese Greater Bay Area Y. Zhao et al.
207. Evaluating the impact of land use and land cover changes on air quality and human health in selected cities of West Bengal N. Nabik et al.