69 citations as recorded by crossref.

1. Assessment of NO2 observations during DISCOVER-AQ and KORUS-AQ field campaigns S. Choi et al. 10.5194/amt-13-2523-2020
2. Reductions in NO2 concentrations in Seoul, South Korea detected from space and ground-based monitors prior to and during the COVID-19 pandemic S. Seo et al. 10.1088/2515-7620/abed92
3. Delineating the spatial-temporal variation of air pollution with urbanization in the Belt and Road Initiative area G. Wei et al. 10.1016/j.eiar.2021.106646
4. Local and transboundary contributions to NOy loadings across East Asia using CMAQ-ISAM and a GEMS-informed emission inventory during the winter–spring transition J. Park et al. 10.5194/acp-25-4291-2025
5. An evaluation of global organic aerosol schemes using airborne observations S. Pai et al. 10.5194/acp-20-2637-2020
6. 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
7. Evaluation of the emission inventory for large point emission sources in South Korea by applying measured data from the NASA/NIER KORUS-AQ aircraft field campaign M. Park et al. 10.1525/elementa.2022.00105
8. Ozone Monitoring Instrument (OMI) Aura nitrogen dioxide standard product version 4.0 with improved surface and cloud treatments L. Lamsal et al. 10.5194/amt-14-455-2021
9. The Korea–United States Air Quality (KORUS-AQ) field study J. Crawford et al. 10.1525/elementa.2020.00163
10. Analysis of the National Air Pollutant Emission Inventory (CAPSS 2016) and the Major Cause of Change in Republic of Korea S. Choi et al. 10.5572/ajae.2020.14.4.422
11. 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
12. Changes in the ozone chemical regime over the contiguous United States inferred by the inversion of NOx and VOC emissions using satellite observation J. Jung et al. 10.1016/j.atmosres.2022.106076
13. Oxidation pathways and emission sources of atmospheric particulate nitrate in Seoul: based on δ15N and Δ17O measurements S. Lim et al. 10.5194/acp-22-5099-2022
14. Revisiting the effectiveness of HCHO/NO2 ratios for inferring ozone sensitivity to its precursors using high resolution airborne remote sensing observations in a high ozone episode during the KORUS-AQ campaign A. Souri et al. 10.1016/j.atmosenv.2020.117341
15. Impact of NH3 Emissions on Particulate Matter Pollution in South Korea: A Case Study of the Seoul Metropolitan Area C. Shim et al. 10.3390/atmos13081227
16. Source attribution of air pollution using a generalized additive model and particle trajectory clusters B. de Foy et al. 10.1016/j.scitotenv.2021.146458
17. 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
18. Comparison of PM2.5 Chemical Components over East Asia Simulated by the WRF-Chem and WRF/CMAQ Models: On the Models’ Prediction Inconsistency M. Choi et al. 10.3390/atmos10100618
19. Preflight Evaluation of the Environmental Trace Gases Monitoring Instrument with Nadir and Limb Modes (EMI-NL) Based on Measurements of Standard NO2 Sample Gas T. Yang et al. 10.3390/rs14225886
20. Changes in air pollutant emissions in China during two clean-air action periods derived from the newly developed Inversed Emission Inventory for Chinese Air Quality (CAQIEI) L. Kong et al. 10.5194/essd-16-4351-2024
21. Evaluating the spatial patterns of U.S. urban NOx emissions using TROPOMI NO2 D. Goldberg et al. 10.1016/j.rse.2023.113917
22. Quantifying Contributions of Local Emissions and Regional Transport to NOX in Beijing Using TROPOMI Constrained WRF-Chem Simulation Y. Zhu et al. 10.3390/rs13091798
23. On modelling growing menace of household emissions under COVID-19 in Indian metros G. Beig et al. 10.1016/j.envpol.2020.115993
24. Satellite data to support air quality assessment and management T. Holloway et al. 10.1080/10962247.2025.2484153
25. Understanding and improving model representation of aerosol optical properties for a Chinese haze event measured during KORUS-AQ P. Saide et al. 10.5194/acp-20-6455-2020
26. Detection of Strong NOX Emissions from Fine-scale Reconstruction of the OMI Tropospheric NO2 Product J. Lee et al. 10.3390/rs11161861
27. Declining short-term emission control opportunity for major events in Chinese cities H. Wang et al. 10.1038/s44284-025-00233-x
28. 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
29. 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
30. A methodology to constrain carbon dioxide emissions from coal-fired power plants using satellite observations of co-emitted nitrogen dioxide F. Liu et al. 10.5194/acp-20-99-2020
31. Numerical Sensitivity Tests of Volatile Organic Compounds Emission to PM2.5 Formation during Heat Wave Period in 2018 in Two Southeast Korean Cities G. Yang et al. 10.3390/atmos11040331
32. Tropospheric NO2 vertical profiles over South Korea and their relation to oxidant chemistry: implications for geostationary satellite retrievals and the observation of NO2 diurnal variation from space L. Yang et al. 10.5194/acp-23-2465-2023
33. Inverse modeling of SO2 and NOx emissions over China using multisensor satellite data – Part 2: Downscaling techniques for air quality analysis and forecasts Y. Wang et al. 10.5194/acp-20-6651-2020
34. Underestimation of column NO2 amounts from the OMI satellite compared to diurnally varying ground-based retrievals from multiple PANDORA spectrometer instruments J. Herman et al. 10.5194/amt-12-5593-2019
35. Top-down estimates of anthropogenic VOC emissions in South Korea using formaldehyde vertical column densities from aircraft during the KORUS-AQ campaign H. Kwon et al. 10.1525/elementa.2021.00109
36. Introducing new lightning schemes into the CHASER (MIROC) chemistry–climate model Y. He et al. 10.5194/gmd-15-5627-2022
37. Can Column Formaldehyde Observations Inform Air Quality Monitoring Strategies for Ozone and Related Photochemical Oxidants? K. Travis et al. 10.1029/2022JD036638
38. Derivation of Emissions From Satellite‐Observed Column Amounts and Its Application to TROPOMI NO2 and CO Observations K. Sun 10.1029/2022GL101102
39. Aerosol Physical Characteristics over the Yellow Sea Using Optical Particle Counter Measurement Data Onboard Gisang1 Vessel during the YES-AQ Campaign D. Shin et al. 10.5572/KOSAE.2022.38.2.203
40. Ozone Pollution in the North China Plain during the 2016 Air Chemistry Research in Asia (ARIAs) Campaign: Observations and a Modeling Study H. He et al. 10.3390/air2020011
41. Dealing with spatial heterogeneity in pointwise-to-gridded- data comparisons A. Souri et al. 10.5194/amt-15-41-2022
42. 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
43. Diurnal NO emission underestimation constrained using overlapping TROPOMI swaths Q. He et al. 10.1016/j.atmosenv.2025.121354
44. Improvement of the anthropogenic emission rate estimate in Ulaanbaatar, Mongolia, for 2020–21 winter H. Lee et al. 10.1016/j.envpol.2024.123870
45. Validation of tropospheric NO2 column measurements of GOME-2A and OMI using MAX-DOAS and direct sun network observations G. Pinardi et al. 10.5194/amt-13-6141-2020
46. 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
47. Temporal and spatial variations of aerosol optical properties over the Korean peninsula during KORUS-AQ Y. Choi et al. 10.1016/j.atmosenv.2021.118301
48. Sensitivity of the WRF-Chem v4.4 simulations of ozone and formaldehyde and their precursors to multiple bottom-up emission inventories over East Asia during the KORUS-AQ 2016 field campaign K. Kim et al. 10.5194/gmd-17-1931-2024
49. Factors affecting recent PM2.5 concentrations in China and South Korea from 2016 to 2020 Y. Cha et al. 10.1016/j.scitotenv.2023.163524
50. 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
51. A review of Space-Air-Ground integrated remote sensing techniques for atmospheric monitoring B. Zhou et al. 10.1016/j.jes.2021.12.008
52. Multi-model intercomparisons of air quality simulations for the KORUS-AQ campaign R. Park et al. 10.1525/elementa.2021.00139
53. Enhanced Capabilities of TROPOMI NO2: Estimating NOX from North American Cities and Power Plants D. Goldberg et al. 10.1021/acs.est.9b04488
54. Tropospheric nitrogen dioxide levels vary diurnally in Asian cities J. Park et al. 10.1038/s43247-025-02272-7
55. Decoupling in the vertical shape of HCHO during a sea breeze event: The effect on trace gas satellite retrievals and column-to-surface translation A. Souri et al. 10.1016/j.atmosenv.2023.119929
56. Exploiting OMI NO2 satellite observations to infer fossil-fuel CO2 emissions from U.S. megacities D. Goldberg et al. 10.1016/j.scitotenv.2019.133805
57. A satellite-data-driven framework to rapidly quantify air-basin-scale NOx emissions and its application to the Po Valley during the COVID-19 pandemic K. Sun et al. 10.5194/acp-21-13311-2021
58. Elucidating the impacts of COVID-19 lockdown on air quality and ozone chemical characteristics in India B. Roozitalab et al. 10.1039/D2EA00023G
59. Comparing Urban Anthropogenic NMVOC Measurements With Representation in Emission Inventories—A Global Perspective E. von Schneidemesser et al. 10.1029/2022JD037906
60. Effect of Error in SO2 Slant Column Density on the Accuracy of SO2 Transport Flow Rate Estimates Based on GEMS Synthetic Radiances J. Park et al. 10.3390/rs13153047
61. First top-down diurnal adjustment to NOx emissions inventory in Asia informed by the Geostationary Environment Monitoring Spectrometer (GEMS) tropospheric NO2 columns J. Park et al. 10.1038/s41598-024-76223-1
62. Development of surface observation-based two-step emissions adjustment and its application on CO, NOx, and SO2 emissions in China and South Korea E. Kim et al. 10.1016/j.scitotenv.2023.167818
63. TROPOMI Satellite Data Reshape NO2 Air Pollution Land-Use Regression Modeling Capabilities in the United States M. Nawaz et al. 10.1021/acsestair.4c00153
64. Fine-Scale Columnar and Surface NOx Concentrations over South Korea: Comparison of Surface Monitors, TROPOMI, CMAQ and CAPSS Inventory H. Kim et al. 10.3390/atmos11010101
65. Factors determining the seasonal variation of ozone air quality in South Korea: Regional background versus domestic emission contributions H. Lee & R. Park 10.1016/j.envpol.2022.119645
66. An Estimation of Top-Down NOx Emissions from OMI Sensor Over East Asia K. Han et al. 10.3390/rs12122004
67. Surface ozone response to satellite-constrained NOx emission adjustments and its implications C. Bae et al. 10.1016/j.envpol.2019.113469
68. Urban NO x emissions around the world declined faster than anticipated between 2005 and 2019 D. Goldberg et al. 10.1088/1748-9326/ac2c34
69. Diurnal variation of aerosol optical depth and PM2.5 in South Korea: a synthesis from AERONET, satellite (GOCI), KORUS-AQ observation, and the WRF-Chem model E. Lennartson et al. 10.5194/acp-18-15125-2018