83 citations as recorded by crossref.

1. 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
2. Spatial–Temporal Variation and the Influencing Factors of NO2 Column Concentration in the Plateau Mountains of Southwest China F. Dong et al. 10.3390/atmos15111263
3. NO2 retrievals from NOAA-20 OMPS: Algorithm, evaluation, and observations of drastic changes during COVID-19 X. Huang et al. 10.1016/j.atmosenv.2022.119367
4. Surf, Turf, and Above the Earth: Unmet Needs for Coastal Air Quality Science in the Planetary Boundary Layer (PBL) J. Sullivan et al. 10.1029/2023EF003535
5. 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
6. Highly resolved mapping of NO2 vertical column densities from GeoTASO measurements over a megacity and industrial area during the KORUS-AQ campaign G. Choo et al. 10.5194/amt-16-625-2023
7. 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
8. Dealing with spatial heterogeneity in pointwise-to-gridded- data comparisons A. Souri et al. 10.5194/amt-15-41-2022
9. A Systematic Approach to Identify Shipping Emissions Using Spatio-Temporally Resolved TROPOMI Data J. Kim et al. 10.3390/rs15133453
10. 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
11. Applications of Sentinel-5P TROPOMI Satellite Sensor: A Review A. Reshi et al. 10.1109/JSEN.2024.3355714
12. Meteorological Drivers of Permian Basin Methane Anomalies Derived from TROPOMI E. Crosman 10.3390/rs13050896
13. 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
14. Seasonal impacts of buildings’ energy consumption on the variation and spatial distribution of air pollutant over Kabul City: application of Sentinel—5P TROPOMI products A. Ayoobi et al. 10.1007/s11869-021-01085-9
15. 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
16. 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
17. 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
18. Quantifying NOx Emission Sources in Houston, Texas Using Remote Sensing Aircraft Measurements and Source Apportionment Regression Models D. Goldberg et al. 10.1021/acsestair.4c00097
19. Phase wise spatial and temporal variations of nitrogen dioxide during and pre COVID-19 lockdown period in tier-1 cities of India K. Ashwini et al. 10.1007/s41324-021-00400-x
20. 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
21. Inferring and evaluating satellite-based constraints on NOx emissions estimates in air quality simulations J. East et al. 10.5194/acp-22-15981-2022
22. Detecting nitrogen oxide emissions in Qatar and quantifying emission factors of gas-fired power plants – a 4-year study A. Rey-Pommier et al. 10.5194/acp-23-13565-2023
23. Temporal Variation of NO2 and O3 in Rome (Italy) from Pandora and In Situ Measurements A. Di Bernardino et al. 10.3390/atmos14030594
24. COVID‐19 Induced Fingerprints of a New Normal Urban Air Quality in the United States S. Kondragunta et al. 10.1029/2021JD034797
25. Quantifying the diurnal variation in atmospheric NO2 from Geostationary Environment Monitoring Spectrometer (GEMS) observations D. Edwards et al. 10.5194/acp-24-8943-2024
26. 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
27. 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
28. 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
29. 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
30. 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
31. 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
32. 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
33. Assessment of the TROPOMI tropospheric NO<sub>2</sub> product based on airborne APEX observations F. Tack et al. 10.5194/amt-14-615-2021
34. 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
35. Unraveling pathways of elevated ozone induced by the 2020 lockdown in Europe by an observationally constrained regional model using TROPOMI A. Souri et al. 10.5194/acp-21-18227-2021
36. Photochemical model representation of ozone and precursors during the 2017 Lake Michigan ozone study (LMOS) K. Baker et al. 10.1016/j.atmosenv.2022.119465
37. Improved Spatial Resolution in Modeling of Nitrogen Oxide Concentrations in the Los Angeles Basin K. Yu et al. 10.1021/acs.est.3c06158
38. Declines and peaks in NO<sub>2</sub> pollution during the multiple waves of the COVID-19 pandemic in the New York metropolitan area M. Tzortziou et al. 10.5194/acp-22-2399-2022
39. 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
40. Satellite observations of NO2 indicate legacy impacts of redlining in U.S. Midwestern cities E. Hrycyna et al. 10.1525/elementa.2022.00027
41. 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
42. Evaluation of the High Altitude Lidar Observatory (HALO) methane retrievals during the summer 2019 ACT-America campaign R. Barton-Grimley et al. 10.5194/amt-15-4623-2022
43. 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
44. Spatiotemporal Analysis of NO2 Production Using TROPOMI Time-Series Images and Google Earth Engine in a Middle Eastern Country H. Rabiei-Dastjerdi et al. 10.3390/rs14071725
45. 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
46. 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. 10.3390/atmos13111923
47. Improving predictability of high-ozone episodes through dynamic boundary conditions, emission refresh and chemical data assimilation during the Long Island Sound Tropospheric Ozone Study (LISTOS) field campaign S. Ma et al. 10.5194/acp-21-16531-2021
48. 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
49. 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
50. Ozone sensitivity to high energy demand day electricity and onroad emissions during LISTOS A. Karambelas et al. 10.1080/10962247.2024.2396400
51. Assessing Nitrogen Dioxide in the Highveld Troposphere: Pandora Insights and TROPOMI Sentinel-5P Evaluation R. Kai-Sikhakhane et al. 10.3390/atmos15101187
52. New Insights Into the Role of Atmospheric Transport and Mixing on Column and Surface Concentrations of NO2 at a Coastal Urban Site T. Adams et al. 10.1029/2022JD038237
53. Deep learning bias correction of GEMS tropospheric NO2: A comparative validation of NO2 from GEMS and TROPOMI using Pandora observations M. Ghahremanloo et al. 10.1016/j.envint.2024.108818
54. Markers of economic activity in satellite aerosol optical depth data S. Kondragunta et al. 10.1088/1748-9326/ace466
55. 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
56. 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
57. 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
58. Monitoring of urban ecological environment including air quality using satellite imagery Y. Wang et al. 10.1371/journal.pone.0266759
59. Enhancing long-term trend simulation of the global tropospheric hydroxyl (TOH) and its drivers from 2005 to 2019: a synergistic integration of model simulations and satellite observations A. Souri et al. 10.5194/acp-24-8677-2024
60. Investigating Changes in Ozone Formation Chemistry during Summertime Pollution Events over the Northeastern United States M. Tao et al. 10.1021/acs.est.2c02972
61. Evaluating the spatial patterns of U.S. urban NOx emissions using TROPOMI NO2 D. Goldberg et al. 10.1016/j.rse.2023.113917
62. 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
63. 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
64. Variability of nitrogen oxide emission fluxes and lifetimes estimated from Sentinel-5P TROPOMI observations K. Lange et al. 10.5194/acp-22-2745-2022
65. Atmospheric NO2 Distribution Characteristics and Influencing Factors in Yangtze River Economic Belt: Analysis of the NO2 Product of TROPOMI/Sentinel-5P X. Liu et al. 10.3390/atmos12091142
66. Towards a New MAX-DOAS Measurement Site in the Po Valley: NO2 Total VCDs P. Pettinari et al. 10.3390/rs14163881
67. 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
68. Neighborhood-Level Nitrogen Dioxide Inequalities Contribute to Surface Ozone Variability in Houston, Texas I. Dressel et al. 10.1021/acsestair.4c00009
69. Photochemical sensitivity to emissions and local meteorology in Bogotá, Santiago, and São Paulo R. Seguel et al. 10.1525/elementa.2021.00044
70. 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
71. Identification of the roles of urban plume and local chemical production in ozone episodes observed in Long Island Sound during LISTOS 2018: Implications for ozone control strategies K. Zhao et al. 10.1016/j.envint.2023.107887
72. Can Column Formaldehyde Observations Inform Air Quality Monitoring Strategies for Ozone and Related Photochemical Oxidants? K. Travis et al. 10.1029/2022JD036638
73. Reconciliation of asynchronous satellite-based NO2 and XCO2 enhancements with mesoscale modeling over two urban landscapes R. Lei et al. 10.1016/j.rse.2022.113241
74. 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
75. Assessment of Updated Fuel‐Based Emissions Inventories Over the Contiguous United States Using TROPOMI NO2 Retrievals M. Li et al. 10.1029/2021JD035484
76. 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
77. 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
78. A new method for estimating megacity NOx emissions and lifetimes from satellite observations S. Beirle & T. Wagner 10.5194/amt-17-3439-2024
79. A Land Use Regression Model to Estimate Ambient Concentrations of PM10 and SO2 in İzmit, Turkey E. Yücer et al. 10.1007/s12524-023-01704-1
80. 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
81. 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
82. 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
83. 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