202 citations as recorded by crossref.

1. Air Pollution Patterns Mapping of SO2, NO2, and CO Derived from TROPOMI over Central-East Europe B. Wieczorek
2. Soil Emissions of Reactive Oxidized Nitrogen Reduce the Effectiveness of Anthropogenic Source Control in China Y. Wang et al.
3. Quantitative reconstruction of long-term spatiotemporal patterns of high-resolution ground-level NO2 concentrations in mainland China using fusion techniques and a machine learning framework Z. Li et al.
4. Monitoring European anthropogenic NOx emissions from space R. van der A et al.
5. Deep learning approach for reconstructing three-dimensional distribution of NO2 on an urban scale Z. Zhang et al.
6. Assessment of surface ozone production in Qinghai, China with satellite-constrained VOCs and NOx emissions W. Li et al.
7. A lightweight NO2-to-NOx conversion model for quantifying NOx emissions of point sources from NO2 satellite observations S. Meier et al.
8. Quantification and evaluation of atmospheric emissions from crop residue burning constrained by satellite observations in China during 2016–2020 X. Hong et al.
9. 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.
10. Study on the method of reconstructing the vertical plane distribution of SO2 using IDOAS M. Zhong et al.
11. Improvements in aerosol layer height retrievals from TROPOMI oxygen A-band measurements by surface albedo fitting in optimal estimation M. de Graaf et al.
12. The worldwide COVID-19 lockdown impacts on global secondary inorganic aerosols and radiative budget T. Sekiya et al.
13. Nitrogen dioxide spatiotemporal variations in the complex urban environment of Athens, Greece T. Drosoglou et al.
14. TROPOMI NO2 Shows a Fast Recovery of China’s Economy in the First Quarter of 2023 H. Li & B. Zheng
15. Air pollution exposure and hotspots of CO, NO2, SO2, PM2.5, and aerosols in Iraq A. Onojeghuo et al.
16. Characterizing global air pollution seasonality and trends through integrated satellite and meteorological analytics M. Naveed et al.
17. Estimations of the Ground-Level NO2 Concentrations Based on the Sentinel-5P NO2 Tropospheric Column Number Density Product P. Grzybowski et al.
18. Unleashing the potential of geostationary satellite observations in air quality forecasting through artificial intelligence techniques C. Zhang et al.
19. Harmonized cloud datasets for the Ozone Monitoring Instrument (OMI) and TROPOspheric Monitoring Instrument (TROPOMI) using the O2–O2 477 nm absorption band H. Yu et al.
20. Global retrieval of TROPOMI tropospheric HCHO and NO2 columns with improved consistency based on the updated Peking University OMI NO2 algorithm Y. Zhang et al.
21. Harmonizing satellite and ground NO2 observations in China: A multi-sensor framework for scenario-specific calibration J. Gu et al.
22. Global NO2 changes between 2019 and 2024 as observed by TROPOMI in urban areas and emerging hotspots D. Huber et al.
23. Satellite-Based Estimates of Individual Ship NOx Emissions Z. Luo et al.
24. Constraining the budget of NOx and volatile organic compounds at a remote tropical island using multi-platform observations and WRF-Chem model simulations C. Poraicu et al.
25. Global gridded NOx emissions using TROPOMI observations A. Rey-Pommier et al.
26. Local scale air quality impacts in the Los Angeles Basin from increased port activity during 2021 supply chain disruptions T. Skipper et al.
27. Dynamic assessment of NO2 plume rise and pollution contributions from steel industry point sources in an energy-intensive region of China C. Gao et al.
28. 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.
29. S‐5P/TROPOMI‐Derived NOxEmissions From Copper/Cobalt Mining and Other Industrial Activities in the Copperbelt (Democratic Republic of Congo and Zambia) S. Martínez‐Alonso et al.
30. Ground-based MAX-DOAS observations of tropospheric formaldehyde and nitrogen dioxide: Insights into ozone formation sensitivity Y. Qian et al.
31. Conflict-induced ship traffic disruptions constrain cloud sensitivity to stricter marine pollution regulations M. Diamond & L. Boss
32. 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.
33. Evaluating NOx emissions and their effect on O3 production in Texas using TROPOMI NO2 and HCHO D. Goldberg et al.
34. Satellite reveals a steep decline in China’s CO 2 emissions in early 2022 H. Li et al.
35. Preliminary Global NO2 Retrieval from EMI-II Onboard GF5B/DQ1 and Comparison to TROPOMI L. Cheng et al.
36. Two Air Quality Regimes in Total Column NO2 Over the Gulf of Mexico in May 2019: Shipboard and Satellite Views A. Thompson et al.
37. Estimating global 0.1° scale gridded anthropogenic CO2 emissions using TROPOMI NO2 and a data-driven method Y. Zhang et al.
38. Detecting nitrogen oxide emissions in Qatar and quantifying emission factors of gas-fired power plants – a 4-year study A. Rey-Pommier et al.
39. Temporal variability of NOx emissions from power plants: a comparison of satellite- and inventory-based estimates G. Kuhlmann et al.
40. A review of satellite remote sensing for pollution control and carbon reduction in China S. Zhao et al.
41. The Greenhouse gas Observations of Biospheric and Local Emissions from the Upper sky (GOBLEU): a mission overview, instrument description, and results from the first flight H. Suto et al.
42. Feasibility of robust estimates of ozone production rates using a synergy of satellite observations, ground-based remote sensing, and models A. Souri et al.
43. Cross-evaluating WRF-Chem v4.1.2, TROPOMI, APEX, and in situ NO2 measurements over Antwerp, Belgium C. Poraicu et al.
44. 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.
45. Ethnoracial Disparities in Nitrogen Dioxide Pollution in the United States: Comparing Data Sets from Satellites, Models, and Monitors G. Kerr et al.
46. Tracking daily NOx emissions from an urban agglomeration based on TROPOMI NO2 and a local ensemble transform Kalman filter Y. Kong et al.
47. Validation of TROPOMI and WRF-Chem NO2 across seasons using SWING+ and surface observations over Bucharest A. Pasternak et al.
48. The greenhouse gas observation mission with Global Observing SATellite for Greenhouse gases and Water cycle (GOSAT-GW): objectives, conceptual framework and scientific contributions H. Tanimoto et al.
49. Evaluation of the optimal schemes for O3-NOx-VOC sensitivity utilizing regridding TROPOMI observations Y. Mo et al.
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.
51. Applications of Sentinel-5P TROPOMI Satellite Sensor: A Review A. Reshi et al.
52. Enhancing spatiotemporal coverage of satellite-derived high-resolution NO2 data with a super-resolution model M. Zhang et al.
53. Space-based assessment of NOx emissions from global oil and gas fields: Bridging the gap in current emission inventories P. Patel et al.
54. Air quality monitoring in Ukraine during 2022 military conflict using Sentinel-5P imagery M. Mehrabi et al.
55. 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.
56. 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.
57. High-resolution mapping of NO2 population exposure in China from satellite observations J. Gu et al.
58. Spatiotemporal estimation of surface NO2 concentrations in the Pearl River Delta region based on TROPOMI data and machine learning Q. Wei et al.
59. Impacts of Russia-Ukraine War on air pollution over the Black Sea Region due to changes in maritime transport M. Onay et al.
60. Identifying missing sources and reducing NOx emissions uncertainty over China using daily satellite data and a mass-conserving method L. Lu et al.
61. Maritime sector contributions on NO2 surface concentrations in major ports of the Mediterranean Basin A. Pseftogkas et al.
62. Comparison of GEMS v3.0 tropospheric NO 2 columns with ground-based DOAS instruments in Ulsan K. Bae et al.
63. Observational evidence of reduced Bay of Bengal lightning since 2020 linked to cloud responses to shipping emission regulations Q. Jin et al.
64. Direct sun total NO2 column measurements at Thessaloniki, Greece with two DOAS systems and comparisons with S5P/TROPOMI D. Nikolis et al.
65. Assessing nitrogen dioxide monitoring techniques: a comparative analysis of Sentinel-5 Precursor satellite and ground measurements in Catalonia D. Garcia Santos & M. Parés
66. Influence of convection on the upper-tropospheric O3 and NOx budget in southeastern China X. Zhang et al.
67. A new method for estimating megacity NOx emissions and lifetimes from satellite observations S. Beirle & T. Wagner
68. Assessing Nitrogen Dioxide in the Highveld Troposphere: Pandora Insights and TROPOMI Sentinel-5P Evaluation R. Kai-Sikhakhane et al.
69. 卫星观测港口CO2排放间接估算：以日照港为例 陆. Lu Lingxiao et al.
70. NOx emissions in France in 2019–2021 as estimated by the high-spatial-resolution assimilation of TROPOMI NO2 observations R. Plauchu et al.
71. A simplified non-linear chemistry transport model for analyzing NO2 column observations: STILT–NOx D. Wu et al.
72. 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.
73. Natural emissions of VOC and NOx over Africa constrained by TROPOMI HCHO and NO2 data using the MAGRITTEv1.1 model B. Opacka et al.
74. NO2 Data Analytics and Visualization Service: Improving Air Quality Insights in Armenia and Belarus R. Abrahamyan et al.
75. Tracking the path to cleaner cities using global urban NO2 monitoring from space A. Hassani et al.
76. Spaceborne Observations of Lightning NO2 in the Arctic X. Zhang et al.
77. 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.
78. Evolution of global O3-NOx-VOCs sensitivity before and after the COVID-19 from the ratio of formaldehyde to NO2 from satellite observations D. Wang et al.
79. Cloud Property Retrieval Based on DISAMAR Using Oxygen-A and Oxygen-B Band Measurements by TROPOMI on Sentinel-5P X. Zhang et al.
80. Satellite air quality monitoring: an interactive and accessible tool for spatiotemporal analysis using Google Earth Engine A. Ayek et al.
81. Nitrogen oxides emissions from selected cities in North America, Europe, and East Asia observed by the TROPOspheric Monitoring Instrument (TROPOMI) before and after the COVID-19 pandemic C. Lonsdale & K. Sun
82. Air Quality Improvement Following COVID-19 Lockdown Measures and Projected Benefits for Environmental Health Y. Liou et al.
83. Improved catalog of NOx point source emissions (version 2) S. Beirle et al.
84. Detailed analysis of air pollution in the Canadian prairie region: A step toward net-zero emission A. Ghahremanlou & D. Ghahremanlou
85. Estimation of biomass burning emission of NO2 and CO from 2019–2020 Australia fires based on satellite observations N. Wan et al.
86. Cement and brick factories contribute elevated levels of NO2 pollution in Nepal: Evidence of high-resolution view from space M. Gyawali et al.
87. Transboundary Impacts of NO2 on Soil Nitrogen Fixation and Their Effects on Crop Yields in China J. Xie et al.
88. NitroNet – a machine learning model for the prediction of tropospheric NO2 profiles from TROPOMI observations L. Kuhn et al.
89. Top-down estimates of anthropogenic NOx emissions over China through a new zone-stratified RF machine learning model Y. Huang et al.
90. New Perspective on Using Observational Uncertainty to Improve Reliability of NO x Emissions Over Northern China L. Lu et al.
91. Relation Between Air Quality and Wind Speed in the Eastern Anatolia Region of Türkiye M. Çelik et al.
92. A Hybrid Regression–Kriging–Machine Learning Framework for Imputing Missing TROPOMI NO2 Data over Taiwan A. Valerio et al.
93. An assessment of the spatiotemporal dynamics and seasonal trends in NO₂ concentrations across India using advanced statistical analysis A. Srivastava et al.
94. Trends and drivers of anthropogenic NO emissions in China since 2020 H. Li et al.
95. 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.
96. Global seasonal urban, industrial, and background NO2 estimated from TROPOMI satellite observations V. Fioletov et al.
97. Satellite observations showed a negligible reduction in NO2 pollution due to COVID-19 lockdown over Poland E. Ugboma et al.
98. Synergistic use of satellite and in-situ data for policy-relevant air quality information: A case study on Belgium T. Verhoelst et al.
99. Spatial–temporal variations of NO2 pollution in Shandong Province based on Sentinel-5P satellite data and influencing factors S. Zeng et al.
100. High-resolution mapping of urban NO2 concentrations using Retina v2: a case study on data assimilation of surface and satellite observations in Madrid B. Mijling et al.
101. 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.
102. Analysis of Ozone Formation Sensitivity in Chinese Representative Regions Using Satellite and Ground-Based Data Y. Li et al.
103. Uncertainty assessment of TROPOMI NO2 over Europe using ground-based remote sensing observations F. Cifuentes et al.
104. Introducing new lightning schemes into the CHASER (MIROC) chemistry–climate model Y. He et al.
105. Hybrid transformer and physics-informed neural operator for correcting TEMPO NO2 biases over North America S. Kayastha et al.
106. Extreme wildfires over Northern Greece during Summer 2023 – Part B. Adverse effects on regional air quality M. Koukouli et al.
107. Quantifying the impacts of the COVID-19 pandemic lockdown and the armed conflict with Russia on Sentinel 5P TROPOMI NO 2 changes in Ukraine A. Phan & H. Fukui
108. A review of machine learning for modeling air quality: Overlooked but important issues D. Tang et al.
109. Impact of Lockdowns on Air Pollution: Case Studies of Two Periods in 2022 in Guangzhou, China X. Zhao et al.
110. Clear-sky and cloudy-sky differences in NO2 concentrations over the United States: implications for satellite measurement applications D. Goldberg et al.
111. Evaluation of GEMS NO2 Retrieval Algorithm Version 2.0 and 3.0 Using TROPOMI and Pandora Observations Y. Jung et al.
112. Monitoring fossil fuel CO2 emissions from co-emitted NO2 observed from space: progress, challenges, and future perspectives H. Li et al.
113. Intercomparison of Sentinel-5P TROPOMI cloud products for tropospheric trace gas retrievals M. Latsch et al.
114. NO2 satellite retrievals biased by absorption in water L. Labzovskii et al.
115. Assessing the ability to quantify the decrease in NOx anthropogenic emissions in 2019 compared to 2005 using OMI and TROPOMI satellite observations A. Fortems-Cheiney et al.
116. 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.
117. Tropospheric ozone precursors over the Indian region: Insights into the shift toward a highly NOx-limited regime A. Pakkattil & S. Ghude
118. Improving machine-learned surface NO2 concentration mapping models with domain knowledge from data science perspective M. Hu et al.
119. Evaluation of the nitrogen oxide emission inventory with TROPOMI observations Y. Chen et al.
120. Temporal Variability of Tropospheric NO2 over Cities in the United States, Western Europe and China from 2005 to 2022 Q. Zhang
121. Estimating Surface NO2 in Mexico City Using Sentinel-5P and Machine Learning Y. Monzón Herrera et al.
122. An improved Bayesian inversion to estimate daily NOx emissions of Paris from TROPOMI NO2 observations between 2018–2023 A. Mols et al.
123. Fiducial Reference Measurements for Air Quality Monitoring Using Ground-Based MAX-DOAS Instruments (FRM4DOAS) M. Van Roozendael et al.
124. First estimation and evaluation of hourly biomass burning emissions in north American high latitudes F. Li et al.
125. Satellite-driven modelling of NO2 and PM2.5 across Germany (2019–2024): A multi-sensor machine-learning approach R. Miller et al.
126. Analysis of the Spatial–Temporal Distribution Characteristics of NO2 and Their Influencing Factors in the Yangtze River Delta Based on Sentinel-5P Satellite Data X. Guo et al.
127. Enhancing ozone nowcasting over East Asia using a data-to-data translation approach with observations from a geostationary environment monitoring spectrometer S. Oh et al.
128. Air quality trends and regimes in South Korea inferred from 2015–2023 surface and satellite observations Y. Oak et al.
129. Derivation of Emissions From Satellite‐Observed Column Amounts and Its Application to TROPOMI NO2 and CO Observations K. Sun
130. Emission Control and Sensitivity Regime Shifts Drive the Decline in Extreme Ozone Concentration in the Sichuan Basin During 2015–2024 H. Kang et al.
131. Estimating the variability in NOx emissions from Wuhan with TROPOMI NO2 data during 2018 to 2023 Q. Zhang et al.
132. 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.
133. 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.
134. Inferring and evaluating satellite-based constraints on NOx emissions estimates in air quality simulations J. East et al.
135. Top-down constraint on CO emissions by incorporating emission heights: insights from COVID-19 activity changes in Nanchang city, China C. Hu et al.
136. Beyond binary maps from HCHO∕NO2: a deep neural network approach to global daily mapping of net ozone production rates and sensitivities constrained by satellite observations (2005–2023) A. Souri et al.
137. Self-supervised accurate remote sensing atmospheric missing data reconstruction: a masked auto-encoder solution J. Zhao et al.
138. Triple-platform validation of TROPOMI v2.4 NO2 retrievals: Quantifying surface albedo-driven changes across monsoon-vegetation regimes J. Gu et al.
139. A research product for tropospheric NO2 columns from Geostationary Environment Monitoring Spectrometer based on Peking University OMI NO2 algorithm Y. Zhang et al.
140. Toward monitoring daily anthropogenic CO2 emissions with air pollution sensors from space H. Li & B. Zheng
141. Ground-based monitoring of nitrogen dioxide in Kumasi, Ghana, and its comparison with satellite observations B. Mijling et al.
142. Evaluation of the first year of Pandora NO2 measurements over Beijing and application to satellite validation O. Liu et al.
143. Reconciliation of asynchronous satellite-based NO2 and XCO2 enhancements with mesoscale modeling over two urban landscapes R. Lei et al.
144. Utilizing machine learning for high resolution NO2 total columns from PACE OCI Z. Fasnacht et al.
145. 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.
146. Can TROPOMI NO2 satellite data be used to track the drop in and resurgence of NOx emissions in Germany between 2019–2021 using the multi-source plume method (MSPM)? E. Dammers et al.
147. Air-pollution-satellite-based CO2 emission inversion: system evaluation, sensitivity analysis, and future research direction H. Li et al.
148. Constraining NOx emissions with satellite NO2 data to improve modeling of 2023 wildfire air quality J. Kumm & Z. Qu
149. Evaluating the spatial patterns of U.S. urban NOx emissions using TROPOMI NO2 D. Goldberg et al.
150. Air Pollution Trends and Predictive Modeling for Three Cities with Different Characteristics Using Sentinel-5 Satellite Data and Deep Learning S. Alkayal et al.
151. Seasonal isoprene emission estimates over tropical South America inferred from satellite observations of isoprene S. Sun et al.
152. Tracking diurnal variation of NO2 at high spatial resolution in China using a time-constrained machine learning model S. He et al.
153. Mapping $$\text {NO}_{\text {x}}$$ emissions in Cyprus using TROPOMI observations: evaluation of the flux-divergence scheme using multiple parameter sets A. Rey-Pommier et al.
154. A detailed comparison of the Dutch emission inventory with satellite-derived NOx emissions H. Witt et al.
155. Contrasting Biogenic Isoprene Emission Responses to La Niña and El Niño Driven by Temperature: Insights from HCHO-Based Global Inversion H. Li et al.
156. The impact of COVID-19 lockdowns on urban photochemistry as inferred from TROPOMI S. Lama et al.
157. Long-term spatiotemporal variations in surface NO2 for Beijing reconstructed from surface data and satellite retrievals Z. Zhao et al.
158. 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.
159. Nitrogen oxides in the free troposphere: implications for tropospheric oxidants and the interpretation of satellite NO2 measurements V. Shah et al.
160. Assessment of the impacts of anthropogenic ozone precursors on domestic and transboundary ozone concentrations using a high-resolution global chemistry model D. Goto et al.
161. Los Angeles Wildfires 2025: Satellite-Based Emissions Monitoring and Air-Quality Impacts K. Michailidis et al.
162. Deriving regional and point source nitrogen oxides emissions in China from TROPOMI using the directional derivative approach with nonlinear chemical lifetime fitting L. Chen et al.
163. Evaluating NOx stack plume emissions using a high-resolution atmospheric chemistry model and satellite-derived NO2 columns M. Krol et al.
164. Satellite Evidence for Glyoxal Depletion in Elevated Fire Plumes C. Lerot et al.
165. Examining TROPOMI formaldehyde to nitrogen dioxide ratios in the Lake Michigan region: implications for ozone exceedances J. Acdan et al.
166. Measurement report: MAX-DOAS measurements characterise Central London ozone pollution episodes during 2022 heatwaves R. Ryan et al.
167. Geospatial association between aerosols and its short-lived precursors over South Asia H. Baranwal et al.
168. Advancing Atmospheric Detection of Weakly Absorbing Reactive Trace Gases Using the FY-3E/HIRAS-II TIR Sounder on a Dawn–Dusk Orbit Z. Liang et al.
169. High-resolution mapping of nitrogen oxide emissions in large US cities from TROPOMI retrievals of tropospheric nitrogen dioxide columns F. Liu et al.
170. Observational operator for fair model evaluation with ground NO2 measurements L. Fang et al.
171. Quantifying daily NOx and CO2 emissions from Wuhan using satellite observations from TROPOMI and OCO-2 Q. Zhang et al.
172. Modelling stratospheric composition for the Copernicus Atmosphere Monitoring Service: multi-species evaluation of IFS-COMPO Cy49 S. Chabrillat et al.
173. Retrieval of NO2 profiles from 3 years of Pandora MAX-DOAS measurements in Toronto, Canada R. Alwarda et al.
174. Localized pollutant emission increases in China due to COVID-19 lockdowns F. Zhao et al.
175. TROPOMI Level 3 tropospheric NO2 dataset with advanced uncertainty analysis from the ESA CCI+ ECV precursor project I. Glissenaar et al.
176. Lightning‐Produced Nitrogen Oxides Per Flash Length Obtained by Using TROPOMI Observations and the Ebro Lightning Mapping Array F. Pérez‐Invernón et al.
177. 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.
178. Comparison of S5P/TROPOMI Inferred NO2 Surface Concentrations with In Situ Measurements over Central Europe A. Pseftogkas et al.
179. Vertical profiles of global tropospheric nitrogen dioxide (NO2) obtained by cloud slicing the TROPOspheric Monitoring Instrument (TROPOMI) R. Horner et al.
180. Monitoring and quantifying CO2emissions of isolated power plants from space X. Lin et al.
181. Comparing Sentinel-5P TROPOMI NO2 column observations with the CAMS regional air quality ensemble J. Douros et al.
182. 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.
183. 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.
184. Diurnal NO emission underestimation constrained using overlapping TROPOMI swaths Q. He et al.
185. Feasibility and Optimization Analysis of Discrete-Wavelength DOAS for NO2 Retrieval Based on TROPOMI and EMI-II Observations R. Song et al.
186. Leveraging High-Resolution Satellite-Derived NO2 Estimates to Evaluate NO2 Exposure Representativeness and Socioeconomic Disparities N. Kim & H. Lee
187. 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.
188. A Novel Approach for Predicting Anthropogenic CO2 Emissions Using Machine Learning Based on Clustering of the CO2 Concentration Z. Ji et al.
189. Validating tropospheric NO2 column density from GEMS version 3.0 and Tropospheric Chemistry Reanalysis version 2 from background to urban conditions over Japan: with a focus on diurnal variations P. Ha et al.
190. Revised estimates of NO2 reductions during the COVID-19 lockdowns using updated TROPOMI NO2 retrievals and model simulations B. Fisher et al.
191. Estimating surface-level nitrogen dioxide concentrations from Sentinel-5P/TROPOMI observations in Finland H. Virta et al.
192. Impacts of the Chengdu 2021 world university games on NO2 pollution: Implications for urban vehicle electrification promotion X. Zheng et al.
193. Quantification of lightning-produced NOx over the Pyrenees and the Ebro Valley by using different TROPOMI-NO2 and cloud research products F. Pérez-Invernón et al.
194. Assessment of variations in air quality in cities of Ecuador in relation to the lockdown due to the COVID-19 pandemic O. Atiaga et al.
195. An Unprecedented Ozone Reduction at a Coastal Background Site in South China: Drivers and Implications R. Zhou et al.
196. 基于星地超光谱遥感和深度学习网络重构城市尺度臭氧三维分布 余. Yu Yanghe et al.
197. 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.
198. Quantifying uncertainties in satellite NO2 superobservations for data assimilation and model evaluation P. Rijsdijk et al.
199. Towards routine shipborne measurements of columnar CO2, CH4, CO, and NO2: a case study for tracking regional-scale emission patterns V. Enders et al.
200. Flux measurements of NOx, O3 and Ox: Emission characteristics, inventory validation and titration effects X. Zhang et al.
201. Improving the quantification of fine particulates (PM2.5) concentrations in Malaysia using simplified and computationally efficient models N. Zaman et al.
202. Anthropogenic NO x emissions of China, the U.S. and Europe from 2019 to 2022 inferred from TROPOMI observations Y. Mao et al.