63 citations as recorded by crossref.

1. Top‐down analysis of the elemental carbon emissions inventory in the United States by inverse modeling using Community Multiscale Air Quality model with decoupled direct method (CMAQ‐DDM) Y. Hu et al. 10.1029/2009JD011987
2. A new statistical modeling and optimization framework for establishing high-resolution PM10 emission inventory – II. Integrated air quality simulation and optimization for performance improvement Y. Zhou et al. 10.1016/j.atmosenv.2012.07.055
3. Identification of surface NO x emission sources on a regional scale using OMI NO 2 I. Zyrichidou et al. 10.1016/j.atmosenv.2014.11.023
4. Indirect validation of tropospheric nitrogen dioxide retrieved from the OMI satellite instrument: Insight into the seasonal variation of nitrogen oxides at northern midlatitudes L. Lamsal et al. 10.1029/2009JD013351
5. Global NO<sub>x</sub> emission estimates derived from an assimilation of OMI tropospheric NO<sub>2</sub> columns K. Miyazaki et al. 10.5194/acp-12-2263-2012
6. Comparing mass balance and adjoint methods for inverse modeling of nitrogen dioxide columns for global nitrogen oxide emissions M. Cooper et al. 10.1002/2016JD025985
7. Multi-annual changes of NO<sub>x</sub> emissions in megacity regions: nonlinear trend analysis of satellite measurement based estimates I. Konovalov et al. 10.5194/acp-10-8481-2010
8. 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
9. Testing and improving OMI DOMINO tropospheric NO2 using observations from the DANDELIONS and INTEX‐B validation campaigns J. Hains et al. 10.1029/2009JD012399
10. Evaluation of the CALIOPE air quality forecasting system for epidemiological research: The example of NO2 in the province of Girona (Spain) I. Aguilera et al. 10.1016/j.atmosenv.2013.02.035
11. A Conservative Downscaling of Satellite-Detected Chemical Compositions: NO2 Column Densities of OMI, GOME-2, and CMAQ H. Kim et al. 10.3390/rs10071001
12. Application of direct regularization techniques and bounded–variable least squares for inverse modeling of an urban emissions inventory A. Vanoye & A. Mendoza 10.5094/APR.2014.027
13. 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
14. Inverse modeling of Texas NO<sub>x</sub> emissions using space-based and ground-based NO<sub>2</sub> observations W. Tang et al. 10.5194/acp-13-11005-2013
15. 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
16. 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
17. An assessment of Aviation’s contribution to current and future fine particulate matter in the United States M. Woody et al. 10.1016/j.atmosenv.2011.03.041
18. 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
19. Evaluation of simulated photochemical partitioning of oxidized nitrogen in the upper troposphere B. Henderson et al. 10.5194/acp-11-275-2011
20. Bayesian Analysis of a Reduced-Form Air Quality Model K. Foley et al. 10.1021/es300666e
21. Emissions estimation from satellite retrievals: A review of current capability D. Streets et al. 10.1016/j.atmosenv.2013.05.051
22. Evaluation of a regional air quality forecast model for tropospheric NO<sub>2</sub> columns using the OMI/Aura satellite tropospheric NO<sub>2</sub> product F. Herron-Thorpe et al. 10.5194/acp-10-8839-2010
23. Evaluating BC and NO<sub><i>x</i></sub> emission inventories for the Paris region from MEGAPOLI aircraft measurements H. Petetin et al. 10.5194/acp-15-9799-2015
24. Evaluation of Novel Routes for NOx Formation in Remote Regions C. Ye et al. 10.1021/acs.est.6b06441
25. Dynamic evaluation of regional air quality model’s response to emission reductions in the presence of uncertain emission inventories S. Napelenok et al. 10.1016/j.atmosenv.2011.03.030
26. Quantifying the emission changes and associated air quality impacts during the COVID-19 pandemic on the North China Plain: a response modeling study J. Xing et al. 10.5194/acp-20-14347-2020
27. Evaluation of the use of a commercially available cavity ringdown absorption spectrometer for measuring NO2 in flight, and observations over the Mid-Atlantic States, during DISCOVER-AQ L. Brent et al. 10.1007/s10874-013-9265-6
28. Constraining NOx emissions using satellite NO2 measurements during 2013 DISCOVER-AQ Texas campaign A. Souri et al. 10.1016/j.atmosenv.2016.02.020
29. The impact of satellite-adjusted NO<sub>x</sub> emissions on simulated NO<sub>x</sub> and O<sub>3</sub> discrepancies in the urban and outflow areas of the Pacific and Lower Middle US Y. Choi 10.5194/acp-14-675-2014
30. Ozone and NO<sub><i>x</i></sub> chemistry in the eastern US: evaluation of CMAQ/CB05 with satellite (OMI) data T. Canty et al. 10.5194/acp-15-10965-2015
31. Space-Borne Monitoring of NOx Emissions from Cement Kilns in South Korea H. Kim et al. 10.3390/atmos11080881
32. Comparison of OMI NO<sub>2</sub> tropospheric columns with an ensemble of global and European regional air quality models V. Huijnen et al. 10.5194/acp-10-3273-2010
33. 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
34. Combining Bayesian methods and aircraft observations to constrain the HO<sup>.</sup> + NO<sub>2</sub> reaction rate B. Henderson et al. 10.5194/acp-12-653-2012
35. Summertime weekly cycles of observed and modeled NO<sub>x</sub> and O<sub>3</sub> concentrations as a function of satellite-derived ozone production sensitivity and land use types over the Continental United States Y. Choi et al. 10.5194/acp-12-6291-2012
36. Regional NOx emission inversion through a four-dimensional variational approach using SCIAMACHY tropospheric NO2 column observations T. Chai et al. 10.1016/j.atmosenv.2009.06.052
37. A new inverse modeling approach for emission sources based on the DDM-3D and 3DVAR techniques: an application to air quality forecasts in the Beijing–Tianjin–Hebei region X. Cheng et al. 10.5194/acp-21-13747-2021
38. An evaluation of CMAQ NO2 using observed chemistry‐meteorology correlations M. Harkey et al. 10.1002/2015JD023316
39. OMI NO<sub>2</sub> column densities over North American urban cities: the effect of satellite footprint resolution H. Kim et al. 10.5194/gmd-9-1111-2016
40. Understanding the impact of recent advances in isoprene photooxidation on simulations of regional air quality Y. Xie et al. 10.5194/acp-13-8439-2013
41. Influence of vertical mixing uncertainties on ozone simulation in CMAQ W. Tang et al. 10.1016/j.atmosenv.2011.01.057
42. Effects of model resolution on the interpretation of satellite NO<sub>2</sub> observations L. Valin et al. 10.5194/acp-11-11647-2011
43. Inferring and evaluating satellite-based constraints on NOx emissions estimates in air quality simulations J. East et al. 10.5194/acp-22-15981-2022
44. Evaluating NOx emission inventories for regulatory air quality modeling using satellite and air quality model data S. Kemball-Cook et al. 10.1016/j.atmosenv.2015.07.002
45. Application of satellite observations for timely updates to global anthropogenic NOxemission inventories L. Lamsal et al. 10.1029/2010GL046476
46. Air Quality Response Modeling for Decision Support D. Cohan & S. Napelenok 10.3390/atmos2030407
47. Impact of air pollution control policies on cardiorespiratory emergency department visits, Atlanta, GA, 1999–2013 J. Abrams et al. 10.1016/j.envint.2019.01.052
48. Model-free daily inversion of NOx emissions using TROPOMI (MCMFE-NOx) and its uncertainty: Declining regulated emissions and growth of new sources K. Qin et al. 10.1016/j.rse.2023.113720
49. Influence of satellite-derived photolysis rates and NO<sub>x</sub> emissions on Texas ozone modeling W. Tang et al. 10.5194/acp-15-1601-2015
50. Simulating lightning NO production in CMAQv5.2: performance evaluations D. Kang et al. 10.5194/gmd-12-4409-2019
51. Assessing mass balance-based inverse modeling methods via a pseudo-observation test to constrain NOx emissions over South Korea J. Mun et al. 10.1016/j.atmosenv.2022.119429
52. Efficient Probabilistic Estimates of Surface Ozone Concentration Using an Ensemble of Model Configurations and Direct Sensitivity Calculations R. Pinder et al. 10.1021/es8025402
53. Estimating the influence of lightning on upper tropospheric ozone using NLDN lightning data and CMAQ model L. Wang et al. 10.1016/j.atmosenv.2012.11.001
54. Impact of lightning-NO on eastern United States photochemistry during the summer of 2006 as determined using the CMAQ model D. Allen et al. 10.5194/acp-12-1737-2012
55. U.S. NO2 trends (2005–2013): EPA Air Quality System (AQS) data versus improved observations from the Ozone Monitoring Instrument (OMI) L. Lamsal et al. 10.1016/j.atmosenv.2015.03.055
56. Improving NOx emission estimates in Beijing using network observations and a perturbed emissions ensemble L. Yuan et al. 10.5194/acp-22-8617-2022
57. Application of OMI observations to a space-based indicator of NOx and VOC controls on surface ozone formation B. Duncan et al. 10.1016/j.atmosenv.2010.03.010
58. Source Contributions of Sulfate Aerosol over East Asia Estimated by CMAQ-DDM S. Itahashi et al. 10.1021/es300887w
59. Multiannual changes of CO<sub>2</sub> emissions in China: indirect estimates derived from satellite measurements of tropospheric NO<sub>2</sub> columns E. Berezin et al. 10.5194/acp-13-9415-2013
60. Satellite remote sensing of surface air quality R. Martin 10.1016/j.atmosenv.2008.07.018
61. Assimilation of OMI NO2 retrievals into a regional chemistry-transport model for improving air quality forecasts over Europe X. Wang et al. 10.1016/j.atmosenv.2010.09.028
62. NO2columns in the western United States observed from space and simulated by a regional chemistry model and their implications for NOxemissions S. Kim et al. 10.1029/2008JD011343
63. A framework for evaluating regional-scale numerical photochemical modeling systems R. Dennis et al. 10.1007/s10652-009-9163-2