60 citations as recorded by crossref.

1. The version 3 OMI NO<sub>2</sub> standard product N. Krotkov et al. 10.5194/amt-10-3133-2017
2. Estimation of fossil-fuel CO<sub>2</sub> emissions using satellite measurements of "proxy" species I. Konovalov et al. 10.5194/acp-16-13509-2016
3. Minimizing aerosol effects on the OMI tropospheric NO<sub>2</sub> retrieval – An improved use of the 477 nm O<sub>2</sub> − O<sub>2</sub> band and an estimation of the aerosol correction uncertainty J. Chimot et al. 10.5194/amt-12-491-2019
4. Impact of China's ECA policies on air pollution in coastal cities: Empirical analysis based on synthetic-DID model J. Shi et al. 10.1016/j.cities.2024.104871
5. Spatial and temporal changes of the ozone sensitivity in China based on satellite and ground-based observations W. Wang et al. 10.5194/acp-21-7253-2021
6. Markers of economic activity in satellite aerosol optical depth data S. Kondragunta et al. 10.1088/1748-9326/ace466
7. Positive Effect Observed on Reducing Criteria Pollutant Emissions Provided by Provisional Local Regulations during the 2022 Winter Olympics Z. Shi et al. 10.3390/atmos14121774
8. Detection and emission estimates of NOx sources over China North Plain using OMI observations J. Zhang et al. 10.1080/01431161.2018.1430402
9. Effects of daily meteorology on the interpretation of space-based remote sensing of NO<sub>2</sub> J. Laughner et al. 10.5194/acp-16-15247-2016
10. Aura OMI observations of regional SO<sub>2</sub> and NO<sub>2</sub> pollution changes from 2005 to 2015 N. Krotkov et al. 10.5194/acp-16-4605-2016
11. Evaluating the Impact of Emissions Regulations on the Emissions Reduction During the 2015 China Victory Day Parade With an Ensemble Square Root Filter K. Chu et al. 10.1002/2017JD027631
12. Ozone Pollution of Megacity Shanghai during City-Wide Lockdown Assessed Using TROPOMI Observations of NO2 and HCHO R. Xue et al. 10.3390/rs14246344
13. Space-based NO<sub><i>x</i></sub> emission estimates over remote regions improved in DECSO J. Ding et al. 10.5194/amt-10-925-2017
14. Validation of OMI, GOME-2A and GOME-2B tropospheric NO<sub>2</sub>, SO<sub>2</sub> and HCHO products using MAX-DOAS observations from 2011 to 2014 in Wuxi, China: investigation of the effects of priori profiles and aerosols on the satellite products Y. Wang et al. 10.5194/acp-17-5007-2017
15. NOx emissions in India derived from OMI satellite observations J. Ding et al. 10.1016/j.aeaoa.2022.100174
16. Sector‐Based Top‐Down Estimates of NOx, SO2, and CO Emissions in East Asia Z. Qu et al. 10.1029/2021GL096009
17. Impacts of emission reduction and meteorological conditions on air quality improvement during the 2014 Youth Olympic Games in Nanjing, China Q. Huang et al. 10.5194/acp-17-13457-2017
18. Improving PM<sub>2. 5</sub> forecast over China by the joint adjustment of initial conditions and source emissions with an ensemble Kalman filter Z. Peng et al. 10.5194/acp-17-4837-2017
19. Inverse modeling of SO<sub>2</sub> and NO<sub><i>x</i></sub> 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
20. Inverse modeling of SO<sub>2</sub> and NO<sub><i>x</i></sub> emissions over China using multisensor satellite data – Part 1: Formulation and sensitivity analysis Y. Wang et al. 10.5194/acp-20-6631-2020
21. Intercomparison of NO<sub><i>x</i></sub> emission inventories over East Asia J. Ding et al. 10.5194/acp-17-10125-2017
22. Air Quality and Control Measures Evaluation during the 2014 Youth Olympic Games in Nanjing and its Surrounding Cities H. Zhao et al. 10.3390/atmos8060100
23. Anthropogenic NOx Emission Estimations over East China for 2015 and 2019 Using OMI Satellite Observations and the New Inverse Modeling System CIF-CHIMERE D. Savas et al. 10.3390/atmos14010154
24. Cleaning up the air: effectiveness of air quality policy for SO<sub>2</sub> and NO<sub><i>x</i></sub> emissions in China R. van der A et al. 10.5194/acp-17-1775-2017
25. Maritime NOx Emissions Over Chinese Seas Derived From Satellite Observations J. Ding et al. 10.1002/2017GL076788
26. The impact of multi-species surface chemical observation assimilation on air quality forecasts in China Z. Peng et al. 10.5194/acp-18-17387-2018
27. 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
28. OMI tropospheric NO<sub>2</sub> profiles from cloud slicing: constraints on surface emissions, convective transport and lightning NO<sub><i>x</i></sub> M. Belmonte Rivas et al. 10.5194/acp-15-13519-2015
29. Changes in Power Plant NOx Emissions over Northwest Greece Using a Data Assimilation Technique I. Skoulidou et al. 10.3390/atmos12070900
30. An Estimation of Top-Down NOx Emissions from OMI Sensor Over East Asia K. Han et al. 10.3390/rs12122004
31. PM2.5 concentration and composition in the urban air of Nanjing, China: Effects of emission control measures applied during the 2014 Youth Olympic Games M. Miettinen et al. 10.1016/j.scitotenv.2018.10.191
32. Opportunistic experiments to constrain aerosol effective radiative forcing M. Christensen et al. 10.5194/acp-22-641-2022
33. Impact of aerosols on the OMI tropospheric NO<sub>2</sub> retrievals over industrialized regions: how accurate is the aerosol correction of cloud-free scenes via a simple cloud model? J. Chimot et al. 10.5194/amt-9-359-2016
34. NOx Emission Changes Over China During the COVID‐19 Epidemic Inferred From Surface NO2 Observations S. Feng et al. 10.1029/2020GL090080
35. NO<sub><i>x</i></sub> lifetimes and emissions of cities and power plants in polluted background estimated by satellite observations F. Liu et al. 10.5194/acp-16-5283-2016
36. Decadal changes in global surface NO<sub><i>x</i></sub> emissions from multi-constituent satellite data assimilation K. Miyazaki et al. 10.5194/acp-17-807-2017
37. Optimization and Evaluation of SO2 Emissions Based on WRF-Chem and 3DVAR Data Assimilation Y. Hu et al. 10.3390/rs14010220
38. Sudden changes in nitrogen dioxide emissions over Greece due to lockdown after the outbreak of COVID-19 M. Koukouli et al. 10.5194/acp-21-1759-2021
39. Limited Regional Aerosol and Cloud Microphysical Changes Despite Unprecedented Decline in Nitrogen Oxide Pollution During the February 2020 COVID‐19 Shutdown in China M. Diamond & R. Wood 10.1029/2020GL088913
40. Updated SO<sub>2</sub> emission estimates over China using OMI/Aura observations M. Koukouli et al. 10.5194/amt-11-1817-2018
41. The quantification of NO<sub><i>x</i></sub> and SO<sub>2</sub> point source emission flux errors of mobile differential optical absorption spectroscopy on the basis of the Gaussian dispersion model: a simulation study Y. Huang et al. 10.5194/amt-13-6025-2020
42. NOx Emissions Reduction and Rebound in China Due to the COVID‐19 Crisis J. Ding et al. 10.1029/2020GL089912
43. Monthly top‐down NOx emissions for China (2005–2012): A hybrid inversion method and trend analysis Z. Qu et al. 10.1002/2016JD025852
44. Air quality intervention during the Nanjing youth olympic games altered PM sources, chemical composition, and toxicological responses T. Rönkkö et al. 10.1016/j.envres.2020.109360
45. Anthropogenic NO x emissions of China, the U.S. and Europe from 2019 to 2022 inferred from TROPOMI observations Y. Mao et al. 10.1088/1748-9326/ad3cf9
46. The Ozone Monitoring Instrument: overview of 14 years in space P. Levelt et al. 10.5194/acp-18-5699-2018
47. Ground-Based MAX-DOAS Observations of Tropospheric NO2 and HCHO During COVID-19 Lockdown and Spring Festival Over Shanghai, China A. Tanvir et al. 10.3390/rs13030488
48. Impacts of Horizontal Resolution on Global Data Assimilation of Satellite Measurements for Tropospheric Chemistry Analysis T. Sekiya et al. 10.1029/2020MS002180
49. Nine years of global hydrocarbon emissions based on source inversion of OMI formaldehyde observations M. Bauwens et al. 10.5194/acp-16-10133-2016
50. MAX-DOAS NO<sub>2</sub> observations over Guangzhou, China; ground-based and satellite comparisons T. Drosoglou et al. 10.5194/amt-11-2239-2018
51. A new method for deriving trace gas emission inventories from satellite observations: The case of SO2 over China K. Kourtidis et al. 10.1016/j.scitotenv.2017.08.313
52. Impact of Coronavirus Outbreak on NO2 Pollution Assessed Using TROPOMI and OMI Observations M. Bauwens et al. 10.1029/2020GL087978
53. Government environmental control measures on CO2 emission during the 2014 Youth Olympic Games in Nanjing: Perspectives from a top-down approach C. Hu et al. 10.1016/j.jes.2021.04.016
54. A Regional multi-Air Pollutant Assimilation System (RAPAS v1.0) for emission estimates: system development and application S. Feng et al. 10.5194/gmd-16-5949-2023
55. Exploring the influence of two inventories on simulated air pollutants during winter over the Yangtze River Delta T. Sha et al. 10.1016/j.atmosenv.2019.03.006
56. Evaluation of modeling NO<sub>2</sub> concentrations driven by satellite-derived and bottom-up emission inventories using in situ measurements over China F. Liu et al. 10.5194/acp-18-4171-2018
57. High-spatiotemporal-resolution inverse estimation of CO and NOx emission reductions during emission control periods with a modified ensemble Kalman filter H. Wu et al. 10.1016/j.atmosenv.2020.117631
58. Inferring and evaluating satellite-based constraints on NOx emissions estimates in air quality simulations J. East et al. 10.5194/acp-22-15981-2022
59. Chemical compositions and source apportionment of PM2.5 during clear and hazy days: Seasonal changes and impacts of Youth Olympic Games S. Li et al. 10.1016/j.chemosphere.2020.127163
60. Influence of pollution control on lead inhalation bioaccessibility in PM2.5: A case study of 2014 Youth Olympic Games in Nanjing S. Li et al. 10.1016/j.envint.2016.05.010