70 citations as recorded by crossref.

1. Changes in US background ozone associated with the 2011 turnaround in Chinese NOx emissions K. Miyazaki et al. 10.1088/2515-7620/ac619b
2. Carbon emissions from the 2023 Canadian wildfires B. Byrne et al. 10.1038/s41586-024-07878-z
3. Examining ENSO-related variability in tropical tropospheric ozone in the RAQMS-Aura chemical reanalysis M. Bruckner et al. 10.5194/acp-24-10921-2024
4. 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
5. Stacking Machine Learning Models Empowered High Time-Height-Resolved Ozone Profiling from the Ground to the Stratopause Based on MAX-DOAS Observation S. Zhang et al. 10.1021/acs.est.3c09099
6. CHEEREIO 1.0: a versatile and user-friendly ensemble-based chemical data assimilation and emissions inversion platform for the GEOS-Chem chemical transport model D. Pendergrass et al. 10.5194/gmd-16-4793-2023
7. Dynamics-based estimates of decline trend with fine temporal variations in China's PM2.5 emissions Z. Peng et al. 10.5194/acp-23-14505-2023
8. Quantifying uncertainties in satellite NO2 superobservations for data assimilation and model evaluation P. Rijsdijk et al. 10.5194/gmd-18-483-2025
9. Reconciling the bottom-up and top-down estimates of the methane chemical sink using multiple observations Y. Zhao et al. 10.5194/acp-23-789-2023
10. Meteorological and chemical controls on surface ozone diurnal variability in Beijing: A clustering-based perspective Z. Liao et al. 10.1016/j.atmosenv.2022.119566
11. Sector‐Based Top‐Down Estimates of NOx, SO2, and CO Emissions in East Asia Z. Qu et al. 10.1029/2021GL096009
12. First Concurrent Observations of NO2 and CO2 From Power Plant Plumes by Airborne Remote Sensing T. Fujinawa et al. 10.1029/2021GL092685
13. Variations in major aerosol components from long-term measurement of columnar aerosol optical properties at a SKYNET site downwind of Seoul, Korea Y. Choi & Y. Ghim 10.1016/j.atmosenv.2020.117991
14. Impact of different sources of precursors on an ozone pollution outbreak over Europe analysed with IASI+GOME2 multispectral satellite observations and model simulations S. Okamoto et al. 10.5194/acp-23-7399-2023
15. Modeling the impact of COVID-19 on air quality in southern California: implications for future control policies Z. Jiang et al. 10.5194/acp-21-8693-2021
16. Improving Below‐Cloud Scavenging Coefficients of Sulfate, Nitrate, and Ammonium in PM2.5 and Implications for Numerical Simulation and Air Pollution Control L. Yao et al. 10.1029/2023JD039487
17. Inverse modelling of Chinese NOx emissions using deep learning: integrating in situ observations with a satellite-based chemical reanalysis T. He et al. 10.5194/acp-22-14059-2022
18. Development of an integrated machine-learning and data assimilation framework for NOx emission inversion Y. Chen et al. 10.1016/j.scitotenv.2023.161951
19. An intercomparison of ozone taken from the Copernicus atmosphere monitoring service and the second Modern-Era retrospective analysis for research and applications over China during 2018 and 2019 Y. Zhang et al. 10.1016/j.jes.2022.01.045
20. Chemical kinetics of near-surface ozone at a suburban location in India V. Sagar et al. 10.3389/fenvs.2023.1178833
21. 4D‐Var Inversion of European NH3 Emissions Using CrIS NH3 Measurements and GEOS‐Chem Adjoint With Bi‐Directional and Uni‐Directional Flux Schemes H. Cao et al. 10.1029/2021JD035687
22. Inferring and evaluating satellite-based constraints on NOx emissions estimates in air quality simulations J. East et al. 10.5194/acp-22-15981-2022
23. Nitrogen oxides in the free troposphere: implications for tropospheric oxidants and the interpretation of satellite NO2 measurements V. Shah et al. 10.5194/acp-23-1227-2023
24. Refined source apportionment of nitrate aerosols based on isotopes and emission inventories in coastal city of northern China Y. Ni et al. 10.1016/j.scitotenv.2024.177388
25. Improving ozone simulations in Asia via multisource data assimilation: results from an observing system simulation experiment with GEMS geostationary satellite observations L. Shu et al. 10.5194/acp-23-3731-2023
26. The worldwide COVID-19 lockdown impacts on global secondary inorganic aerosols and radiative budget T. Sekiya et al. 10.1126/sciadv.adh2688
27. Derivation of Emissions From Satellite‐Observed Column Amounts and Its Application to TROPOMI NO2 and CO Observations K. Sun 10.1029/2022GL101102
28. 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
29. Transport mechanisms of nocturnal surface ozone over Riyadh, Kingdom of Saudi Arabia A. Alduwais et al. 10.1016/j.atmosenv.2023.120069
30. A new methodology for inferring surface ozone from multispectral satellite measurements N. Colombi et al. 10.1088/1748-9326/ac243d
31. Long-term evaluation of atmospheric composition reanalyses from CAMS, TCR-2, and MERRA-2 over South Korea: Insights into applications, implications, and limitations Y. Ryu & S. Min 10.1016/j.atmosenv.2020.118062
32. Air Quality Response in China Linked to the 2019 Novel Coronavirus (COVID‐19) Lockdown K. Miyazaki et al. 10.1029/2020GL089252
33. The Capability of Deep Learning Model to Predict Ozone Across Continents in China, the United States and Europe W. Han et al. 10.1029/2023GL104928
34. M2‐SCREAM: A Stratospheric Composition Reanalysis of Aura MLS Data With MERRA‐2 Transport K. Wargan et al. 10.1029/2022EA002632
35. Natural emissions of VOC and NOx over Africa constrained by TROPOMI HCHO and NO2 data using the MAGRITTEv1.1 model B. Opacka et al. 10.5194/acp-25-2863-2025
36. A simplified non-linear chemistry transport model for analyzing NO2 column observations: STILT–NOx D. Wu et al. 10.5194/gmd-16-6161-2023
37. Fingerprints of the COVID-19 economic downturn and recovery on ozone anomalies at high-elevation sites in North America and western Europe D. Putero et al. 10.5194/acp-23-15693-2023
38. Revisiting regional and seasonal variations in decadal carbon monoxide variability: Global reversal of growth rate A. Patel et al. 10.1016/j.scitotenv.2023.168476
39. The improved Trajectory-mapped Ozonesonde dataset for the Stratosphere and Troposphere (TOST): update, validation and applications Z. Zang et al. 10.5194/acp-24-13889-2024
40. Future Local Ground‐Level Ozone in the European Area From Statistical Downscaling Projections Considering Climate and Emission Changes E. Hertig et al. 10.1029/2022EF003317
41. Technical note: Quality assessment of ozone reanalysis products and gap-filling over subarctic Europe for vegetation risk mapping S. Falk et al. 10.5194/acp-21-15647-2021
42. Global Scale Inversions from MOPITT CO and MODIS AOD B. Gaubert et al. 10.3390/rs15194813
43. Composite Effects of ENSO and EASM on Summer Ozone Pollution in Two Regions of China S. Lu et al. 10.1029/2022JD036938
44. What can we learn about tropospheric OH from satellite observations of methane? E. Penn et al. 10.5194/acp-25-2947-2025
45. Global tropospheric ozone responses to reduced NO x emissions linked to the COVID-19 worldwide lockdowns K. Miyazaki et al. 10.1126/sciadv.abf7460
46. Multi-axis differential optical absorption spectroscopy (MAX-DOAS) observations of formaldehyde and nitrogen dioxide at three sites in Asia and comparison with the global chemistry transport model CHASER H. Hoque et al. 10.5194/acp-22-12559-2022
47. Global reanalysis products cannot reproduce seasonal and diurnal cycles of tropospheric ozone in the Congo Basin I. Vieira et al. 10.1016/j.atmosenv.2023.119773
48. Evaluating CHASER V4.0 global formaldehyde (HCHO) simulations using satellite, aircraft, and ground-based remote-sensing observations H. Hoque et al. 10.5194/gmd-17-5545-2024
49. Improvement of AI forecast of gridded PM2.5 forecast in China through ConvLSTM and Attention P. Liu et al. 10.1007/s42514-021-00087-4
50. TROPESS/CrIS carbon monoxide profile validation with NOAA GML and ATom in situ aircraft observations H. Worden et al. 10.5194/amt-15-5383-2022
51. Predictability of fossil fuel CO2 from air quality emissions K. Miyazaki & K. Bowman 10.1038/s41467-023-37264-8
52. Assessing the relative impacts of satellite ozone and its precursor observations to improve global tropospheric ozone analysis using multiple chemical reanalysis systems T. Sekiya et al. 10.5194/acp-25-2243-2025
53. A 6-year-long (2013–2018) high-resolution air quality reanalysis dataset in China based on the assimilation of surface observations from CNEMC L. Kong et al. 10.5194/essd-13-529-2021
54. Sensitivity of Modeled Soil NOx Emissions to Soil Moisture D. Huber et al. 10.1029/2022JD037611
55. Long-term Changes in Sulfate and Nitrate Concentrations in Streams in Western Japan Between 1986 and 2023 in Response to Changes in Sulfur and Nitrogen Deposition from the Atmosphere Z. Li et al. 10.1007/s11270-024-07206-1
56. Societal shifts due to COVID-19 reveal large-scale complexities and feedbacks between atmospheric chemistry and climate change J. Laughner et al. 10.1073/pnas.2109481118
57. A comparison of the impact of TROPOMI and OMI tropospheric NO2 on global chemical data assimilation T. Sekiya et al. 10.5194/amt-15-1703-2022
58. Tropical tropospheric ozone distribution and trends from in situ and satellite data A. Gaudel et al. 10.5194/acp-24-9975-2024
59. Joint spectral retrievals of ozone with Suomi NPP CrIS augmented by S5P/TROPOMI E. Malina et al. 10.5194/amt-17-5341-2024
60. Intercomparison of Magnitudes and Trends in Anthropogenic Surface Emissions From Bottom‐Up Inventories, Top‐Down Estimates, and Emission Scenarios N. Elguindi et al. 10.1029/2020EF001520
61. Correcting model biases of CO in East Asia: impact on oxidant distributions during KORUS-AQ B. Gaubert et al. 10.5194/acp-20-14617-2020
62. Comparing Sentinel-5P TROPOMI NO2 column observations with the CAMS regional air quality ensemble J. Douros et al. 10.5194/gmd-16-509-2023
63. Long-term historical trends in air pollutant emissions in Asia: Regional Emission inventory in ASia (REAS) version 3 J. Kurokawa & T. Ohara 10.5194/acp-20-12761-2020
64. Sixteen years of MOPITT satellite data strongly constrain Amazon CO fire emissions S. Naus et al. 10.5194/acp-22-14735-2022
65. NOx Emissions Reduction and Rebound in China Due to the COVID‐19 Crisis J. Ding et al. 10.1029/2020GL089912
66. 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
67. Spatiotemporal variability of surface ozone and associated meteorological conditions over the Arabian Peninsula A. Alduwais et al. 10.1016/j.apr.2024.102210
68. An intercomparison of tropospheric ozone reanalysis products from CAMS, CAMS interim, TCR-1, and TCR-2 V. Huijnen et al. 10.5194/gmd-13-1513-2020
69. Evaluation of tropospheric ozone reanalyses with independent ozonesonde observations in East Asia S. Park et al. 10.1186/s40562-020-00161-9
70. Analysis of the NO2 tropospheric product from S5P TROPOMI for monitoring pollution at city scale P. Prunet et al. 10.1016/j.cacint.2020.100051