42 citations as recorded by crossref.

1. 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
2. Optimization and Evaluation of SO2 Emissions Based on WRF-Chem and 3DVAR Data Assimilation Y. Hu et al. 10.3390/rs14010220
3. Five decades observing Earth’s atmospheric trace gases using ultraviolet and visible backscatter solar radiation from space G. Gonzalez Abad et al. 10.1016/j.jqsrt.2019.04.030
4. An inter-comparative evaluation of PKU-FUEL global SO2 emission inventory J. Luo et al. 10.1016/j.scitotenv.2020.137755
5. Trends in China's anthropogenic emissions since 2010 as the consequence of clean air actions B. Zheng et al. 10.5194/acp-18-14095-2018
6. Trade-driven relocation of ground-level SO2 concentrations across Chinese provinces based on satellite observations X. Zhang et al. 10.1007/s11356-022-23034-4
7. Study on the contribution of transport to PM2.5 in typical regions of China using the regional air quality model RAMS-CMAQ R. Li et al. 10.1016/j.atmosenv.2019.116856
8. MIXv2: a long-term mosaic emission inventory for Asia (2010–2017) M. Li et al. 10.5194/acp-24-3925-2024
9. Balance of Emission and Dynamical Controls on Ozone During the Korea‐United States Air Quality Campaign From Multiconstituent Satellite Data Assimilation K. Miyazaki et al. 10.1029/2018JD028912
10. A meteorologically adjusted ensemble Kalman filter approach for inversing daily emissions: A case study in the Pearl River Delta, China G. Jia et al. 10.1016/j.jes.2021.08.048
11. Long-term ambient SO2 concentration and its exposure risk across China inferred from OMI observations from 2005 to 2018 X. Zhang et al. 10.1016/j.atmosres.2020.105150
12. Investigating the Changes in Air Pollutant Emissions over the Beijing-Tianjin-Hebei Region in February from 2014 to 2019 through an Inverse Emission Method X. Luo et al. 10.1007/s00376-022-2039-9
13. 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
14. Responses of sulfate and nitrate to anthropogenic emission changes in eastern China - in perspective of long-term variations L. Qi et al. 10.1016/j.scitotenv.2022.158875
15. Dynamics of plant responses to combinations of air pollutants S. Papazian et al. 10.1111/plb.12953
16. Optimizing an airborne mass-balance methodology for accurate emission rate quantification of industrial facilities: A case study of industrial facilities in South Korea G. Wong et al. 10.1016/j.scitotenv.2023.169204
17. Bias in CMIP6 models as compared to observed regional dimming and brightening K. Moseid et al. 10.5194/acp-20-16023-2020
18. Spatiotemporal trends and impact factors of PM<sub>2.5</sub> and O<sub>3</sub> pollution in major cities in China during 2015–2020 Y. Zhang et al. 10.1360/TB-2021-0767
19. Updated tropospheric chemistry reanalysis and emission estimates, TCR-2, for 2005–2018 K. Miyazaki et al. 10.5194/essd-12-2223-2020
20. Estimating city NOX emissions from TROPOMI high spatial resolution observations – A case study on Yangtze River Delta, China R. Xue et al. 10.1016/j.uclim.2022.101150
21. The unintended consequence of SO<sub>2</sub> and NO<sub>2</sub> regulations over China: increase of ammonia levels and impact on PM<sub>2.5</sub> concentrations M. Lachatre et al. 10.5194/acp-19-6701-2019
22. Revealing the sulfur dioxide emission reductions in China by assimilating surface observations in WRF-Chem T. Dai et al. 10.5194/acp-21-4357-2021
23. SO2 Emission Estimates Using OMI SO2 Retrievals for 2005–2017 Z. Qu et al. 10.1029/2019JD030243
24. Model bias in simulating major chemical components of PM<sub>2.5</sub> in China R. Miao et al. 10.5194/acp-20-12265-2020
25. A review of Space-Air-Ground integrated remote sensing techniques for atmospheric monitoring B. Zhou et al. 10.1016/j.jes.2021.12.008
26. Rapid improvement in air quality due to aerosol-pollution control during 2012–2018: An evidence observed in Kunshan in the Yangtze River Delta, China J. Wu et al. 10.1016/j.apr.2019.12.020
27. Updating Chinese SO2 emissions with surface observations for regional air-quality modeling over East Asia C. Bae et al. 10.1016/j.atmosenv.2020.117416
28. Hybrid Mass Balance/4D‐Var Joint Inversion of NOx and SO2 Emissions in East Asia Z. Qu et al. 10.1029/2018JD030240
29. 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
30. Quantitative impacts of meteorology and precursor emission changes on the long-term trend of ambient ozone over the Pearl River Delta, China, and implications for ozone control strategy L. Yang et al. 10.5194/acp-19-12901-2019
31. Decline in bulk deposition of air pollutants in China lags behind reductions in emissions Y. Zhao et al. 10.1038/s41561-022-00899-1
32. Interannual variation of reactive nitrogen emissions and their impacts on PM2.5 air pollution in China during 2005–2015 Y. Chen et al. 10.1088/1748-9326/ac3695
33. 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
34. 10-year satellite-constrained fluxes of ammonia improve performance of chemistry transport models N. Evangeliou et al. 10.5194/acp-21-4431-2021
35. Satellite data reveal a common combustion emission pathway for major cities in China W. Tang et al. 10.5194/acp-19-4269-2019
36. Natural and anthropogenic contributions to long-term variations of SO2, NO2, CO, and AOD over East China H. Kang et al. 10.1016/j.atmosres.2018.09.012
37. Is the efficacy of satellite-based inversion of SO2 emission model dependent? N. Li et al. 10.1088/1748-9326/abe829
38. Estimates of spatially and temporally resolved constrained organic matter and sulfur dioxide emissions over the Indian region through the strategic source constraints modelling S. Ghosh & S. Verma 10.1016/j.atmosres.2022.106504
39. Recommendations on the measurement techniques of atmospheric pollutants from in situ and satellite observations: a review M. Rahman 10.1007/s12517-023-11410-4
40. Relatively weak meteorological feedback effect on PM2.5 mass change in Winter 2017/18 in the Beijing area: Observational evidence and machine-learning estimations J. Zhong et al. 10.1016/j.scitotenv.2019.01.420
41. Ground-level gaseous pollutants (NO2, SO2, and CO) in China: daily seamless mapping and spatiotemporal variations J. Wei et al. 10.5194/acp-23-1511-2023
42. Development of emissions inventory and identification of sources for priority control in the middle reaches of Yangtze River Urban Agglomerations X. Sun et al. 10.1016/j.scitotenv.2017.12.103