190 citations as recorded by crossref.

1. Assessment and economic valuation of air pollution impacts on human health over Europe and the United States as calculated by a multi-model ensemble in the framework of AQMEII3 U. Im et al. https://doi.org/10.5194/acp-18-5967-2018
2. A Measurement‐Model Fusion Approach for Improved Wet Deposition Maps and Trends Y. Zhang et al. https://doi.org/10.1029/2018JD029051
3. 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. https://doi.org/10.3390/air2020011
4. Halogen Production from Playa Dust Emitted from the Great Salt Lake: Implications of the Shrinking Great Salt Lake on Regional Air Quality J. Christie et al. https://doi.org/10.1021/acsearthspacechem.4c00258
5. Insights into seasonal variation of wet deposition over southeast Asia via precipitation adjustment from the findings of MICS-Asia III S. Itahashi et al. https://doi.org/10.5194/acp-21-8709-2021
6. Influence of anthropogenic emissions and boundary conditions on multi-model simulations of major air pollutants over Europe and North America in the framework of AQMEII3 U. Im et al. https://doi.org/10.5194/acp-18-8929-2018
7. Development of Korean Air Quality Prediction System version 1 (KAQPS v1) with focuses on practical issues K. Lee et al. https://doi.org/10.5194/gmd-13-1055-2020
8. Impacts of future climate and emission changes on U.S. air quality A. Penrod et al. https://doi.org/10.1016/j.atmosenv.2014.01.001
9. A Global‐Scale Mineral Dust Equation X. Liu et al. https://doi.org/10.1029/2022JD036937
10. Assessing uncertainties of a geophysical approach to estimate surface fine particulate matter distributions from satellite-observed aerosol optical depth X. Jin et al. https://doi.org/10.5194/acp-19-295-2019
11. Observation and modeling of black soil wind-blown erosion from cropland in Northeastern China X. Zhang et al. https://doi.org/10.1016/j.aeolia.2015.07.009
12. Impacts of aerosol direct effects on tropospheric ozone through changes in atmospheric dynamics and photolysis rates J. Xing et al. https://doi.org/10.5194/acp-17-9869-2017
13. Health and economic cost estimates of short-term total and wildfire PM2.5 exposure on work loss: using the consecutive California Health Interview Survey (CHIS) data 2015–2018 Y. Meng et al. https://doi.org/10.1136/bmjph-2023-000491
14. Expanding the simulation of East Asian super dust storms: physical transport mechanisms impacting the western Pacific S. Kong et al. https://doi.org/10.5194/acp-24-1041-2024
15. Exploring deep learning for air pollutant emission estimation L. Huang et al. https://doi.org/10.5194/gmd-14-4641-2021
16. Shipborne nutrient dynamics and impact on the eutrophication in the Baltic Sea U. Raudsepp et al. https://doi.org/10.1016/j.scitotenv.2019.03.264
17. A Review of the Representation of Aerosol Mixing State in Atmospheric Models R. Stevens & A. Dastoor https://doi.org/10.3390/atmos10040168
18. The potential effects of climate change on air quality across the conterminous US at 2030 under three Representative Concentration Pathways C. Nolte et al. https://doi.org/10.5194/acp-18-15471-2018
19. Enhancing 72-Hour air quality forecasting with an observation-driven deep learning chemistry transport model S. Li & J. Xing https://doi.org/10.1016/j.envint.2025.109689
20. Estimation of Aromatic Secondary Organic Aerosol Using a Molecular Tracer—A Chemical Transport Model Assessment J. Zhang et al. https://doi.org/10.1021/acs.est.1c03670
21. Improvement and further development in CESM/CAM5: gas-phase chemistry and inorganic aerosol treatments J. He & Y. Zhang https://doi.org/10.5194/acp-14-9171-2014
22. The impact of US wildland fires on ozone and particulate matter: a comparison of measurements and CMAQ model predictions from 2008 to 2012 J. Wilkins et al. https://doi.org/10.1071/WF18053
23. Modeling Reactive Ammonia Uptake by Secondary Organic Aerosol in a Changing Climate: A WRF-CMAQ Evaluation S. Zhu et al. https://doi.org/10.3389/fenvs.2022.867908
24. Drought Impacts on Secondary Organic Aerosol: A Case Study in the Southeast United States Z. Zhao et al. https://doi.org/10.1021/acs.est.8b04842
25. Quantifying primary and secondary humic-like substances in urban aerosol based on emission source characterization and a source-oriented air quality model X. Li et al. https://doi.org/10.5194/acp-19-2327-2019
26. A comparative study of two-way and offline coupled WRF v3.4 and CMAQ v5.0.2 over the contiguous US: performance evaluation and impacts of chemistry–meteorology feedbacks on air quality K. Wang et al. https://doi.org/10.5194/gmd-14-7189-2021
27. A Holistic Clean Air Strategy Considering Integrated Health and Ecological Impacts Z. Dong et al. https://doi.org/10.1021/acs.est.5c08854
28. Fine particulate matter source apportionment using a hybrid chemical transport and receptor model approach Y. Hu et al. https://doi.org/10.5194/acp-14-5415-2014
29. Health-Oriented Emission Control Strategy of Energy Utilization and Its Co-CO2 Benefits: A Case Study of the Yangtze River Delta, China Z. Dong et al. https://doi.org/10.1021/acs.est.3c10693
30. Short-Term total and wildfire fine particulate matter exposure and work loss in California Y. Meng et al. https://doi.org/10.1016/j.envint.2023.108045
31. Implementation of an ensemble Kalman filter in the Community Multiscale Air Quality model (CMAQ model v5.1) for data assimilation of ground-level PM2.5 S. Park et al. https://doi.org/10.5194/gmd-15-2773-2022
32. Refinement of Modeled Aqueous-Phase Sulfate Production via the Fe- and Mn-Catalyzed Oxidation Pathway S. Itahashi et al. https://doi.org/10.3390/atmos9040132
33. Climate-driven trends of biogenic volatile organic compound emissions and their impacts on summertime ozone and secondary organic aerosol in China in the 2050s S. Liu et al. https://doi.org/10.1016/j.atmosenv.2019.117020
34. Current State of Atmospheric Aerosol Thermodynamics and Mass Transfer Modeling: A Review K. Semeniuk & A. Dastoor https://doi.org/10.3390/atmos11020156
35. Source apportionment of Pb-containing particles in Beijing during January 2013 J. Cai et al. https://doi.org/10.1016/j.envpol.2017.04.004
36. Analysis of the emission inventories and model-ready emission datasets of Europe and North America for phase 2 of the AQMEII project G. Pouliot et al. https://doi.org/10.1016/j.atmosenv.2014.10.061
37. Assessment of the effects of horizontal grid resolution on long-term air quality trends using coupled WRF-CMAQ simulations C. Gan et al. https://doi.org/10.1016/j.atmosenv.2016.02.036
38. Effects of ship emissions on air quality in the Baltic Sea region simulated with three different chemistry transport models M. Karl et al. https://doi.org/10.5194/acp-19-7019-2019
39. MICS-Asia III: multi-model comparison and evaluation of aerosol over East Asia L. Chen et al. https://doi.org/10.5194/acp-19-11911-2019
40. The acidity of atmospheric particles and clouds H. Pye et al. https://doi.org/10.5194/acp-20-4809-2020
41. Investigation of aerosol direct effects on meteorology and air quality in East Asia by using an online coupled modeling system G. Nguyen et al. https://doi.org/10.1016/j.atmosenv.2019.03.017
42. Why do models perform differently on particulate matter over East Asia? A multi-model intercomparison study for MICS-Asia III J. Tan et al. https://doi.org/10.5194/acp-20-7393-2020
43. A database and tool for boundary conditions for regional air quality modeling: description and evaluation B. Henderson et al. https://doi.org/10.5194/gmd-7-339-2014
44. Modeling intercontinental transport of ozone in North America with CAMx for the Air Quality Model Evaluation International Initiative (AQMEII) Phase 3 U. Nopmongcol et al. https://doi.org/10.5194/acp-17-9931-2017
45. A Physically Constrained Deep-Learning Fusion Method for Estimating Surface NO2 Concentration from Satellite and Ground Monitors J. Xing et al. https://doi.org/10.1021/acs.est.4c07341
46. Enhanced CAMx source apportionment analysis at an urban receptor in Milan based on source categories and emission regions N. Pepe et al. https://doi.org/10.1016/j.aeaoa.2019.100020
47. Evaluation and error apportionment of an ensemble of atmospheric chemistry transport modeling systems: multivariable temporal and spatial breakdown E. Solazzo et al. https://doi.org/10.5194/acp-17-3001-2017
48. Two-way coupled meteorology and air quality models in Asia: a systematic review and meta-analysis of impacts of aerosol feedbacks on meteorology and air quality C. Gao et al. https://doi.org/10.5194/acp-22-5265-2022
49. Quantification of the enhanced effectiveness of NOx control from simultaneous reductions of VOC and NH3 for reducing air pollution in the Beijing–Tianjin–Hebei region, China J. Xing et al. https://doi.org/10.5194/acp-18-7799-2018
50. Present Knowledge and Future Perspectives of Atmospheric Emission Inventories of Toxic Trace Elements: A Critical Review X. Bai et al. https://doi.org/10.1021/acs.est.2c07147
51. Formation mechanisms of a severe springtime ozone episode in the Beibu Gulf, China: The role of the marine “ozone pool” and regional transport R. Pan et al. https://doi.org/10.1016/j.apr.2026.103122
52. Description and evaluation of the Community Multiscale Air Quality (CMAQ) modeling system version 5.1 K. Appel et al. https://doi.org/10.5194/gmd-10-1703-2017
53. Evaluation of the offline-coupled GFSv15–FV3–CMAQv5.0.2 in support of the next-generation National Air Quality Forecast Capability over the contiguous United States X. Chen et al. https://doi.org/10.5194/gmd-14-3969-2021
54. The Effect of Lockdown Period during the COVID-19 Pandemic on Air Quality in Sydney Region, Australia H. Duc et al. https://doi.org/10.3390/ijerph18073528
55. Size-segregated aerosol chemical composition from an agro-industrial region of São Paulo state, Brazil C. Gonçalves et al. https://doi.org/10.1007/s11869-016-0441-0
56. Aerosol Absorption: Progress Towards Global and Regional Constraints B. Samset et al. https://doi.org/10.1007/s40641-018-0091-4
57. A review of the CAMx, CMAQ, WRF-Chem and NAQPMS models: Application, evaluation and uncertainty factors Z. Gao & X. Zhou https://doi.org/10.1016/j.envpol.2023.123183
58. The spatiotemporal influence of atmospheric nitrogen deposition on basin nitrogen exports based on CMAQ-SWAT model Q. Hu et al. https://doi.org/10.1016/j.wroa.2025.100465
59. Cross-comparison and evaluation of air pollution field estimation methods H. Yu et al. https://doi.org/10.1016/j.atmosenv.2018.01.045
60. Current and Future Responses of Aerosol pH and Composition in the U.S. to Declining SO2 Emissions and Increasing NH3 Emissions Y. Chen et al. https://doi.org/10.1021/acs.est.9b02005
61. Ambient air pollution and depressed mood in the National Longitudinal Study of Adolescent to Adult Health (Add Health) wave 4 W. Yu et al. https://doi.org/10.1093/aje/kwae314
62. Simulating the phase partitioning of NH3, HNO3, and HCl with size-resolved particles over northern Colorado in winter J. Kelly et al. https://doi.org/10.1016/j.atmosenv.2016.01.049
63. Role of emission controls in reducing the 2050 climate change penalty for PM2.5 in China S. Liu et al. https://doi.org/10.1016/j.scitotenv.2020.144338
64. Anthropogenic fugitive, combustion and industrial dust is a significant, underrepresented fine particulate matter source in global atmospheric models S. Philip et al. https://doi.org/10.1088/1748-9326/aa65a4
65. Crop Residue Burning Emissions and the Impact on Ambient Particulate Matters over South Korea K. Han et al. https://doi.org/10.3390/atmos13040559
66. Modeling the impacts of open biomass burning on regional O3 and PM2.5 in Southeast Asia considering light absorption and photochemical bleaching of Brown carbon M. Choi & Q. Ying https://doi.org/10.1016/j.atmosenv.2024.120942
67. Evaluation of Regional Atmospheric Models for Air Quality Simulations in the Winter Season in China F. Meng et al. https://doi.org/10.3390/atmos17010001
68. Characteristics of Northwest Atlantic Cloud Water: PMF Applied to ACTIVATE’s Cloud Water Data Set T. Ajayi et al. https://doi.org/10.1021/acsearthspacechem.6c00028
69. Predicting wildfire particulate matter and hypothetical re-emission of radiological Cs-137 contamination incidents K. Baker et al. https://doi.org/10.1016/j.scitotenv.2021.148872
70. Coordinated Reduction of Reactive Nitrogen and Volatile Organic Compounds Enables Greater and More Equitable Integrated Health and Ecological Benefits Z. Dong et al. https://doi.org/10.1021/acs.est.5c12151
71. Revealing the impacts of transboundary pollution on PM2.5-related deaths in China S. Liu et al. https://doi.org/10.1016/j.envint.2019.105323
72. A preliminary study of turbulent coherent structures and ozone air quality in Seoul using the WRF-CMAQ model at a 50 m grid spacing B. Han et al. https://doi.org/10.1016/j.atmosenv.2019.117012
73. Simulating the Weekly Cycle of NOx‐VOC‐HOx‐O3 Photochemical System in the South Coast of California During CalNex‐2010 Campaign C. Cai et al. https://doi.org/10.1029/2018JD029859
74. Constrained Estimates of Anthropogenic NOx Emissions in China (2014–2021) from Surface Observations Y. Shen et al. https://doi.org/10.3390/atmos17010051
75. Impact of halogen chemistry on summertime air quality in coastal and continental Europe: application of the CMAQ model and implications for regulation Q. Li et al. https://doi.org/10.5194/acp-19-15321-2019
76. Mimicking atmospheric photochemical modeling with a deep neural network J. Xing et al. https://doi.org/10.1016/j.atmosres.2021.105919
77. Operational chemical weather forecasting with the ECCC online Regional Air Quality Deterministic Prediction System version 023 (RAQDPS023) – Part 2: Multi-year prospective and retrospective performance evaluation M. Moran et al. https://doi.org/10.5194/gmd-19-4205-2026
78. Projections of Atmospheric Nitrogen Deposition to the Chesapeake Bay Watershed P. Campbell et al. https://doi.org/10.1029/2019JG005203
79. The Role of Vegetation on Urban Atmosphere of Three European Cities. Part 2: Evaluation of Vegetation Impact on Air Pollutant Concentrations and Depositions M. Mircea et al. https://doi.org/10.3390/f14061255
80. Impacts of Atmospheric Nitrogen Deposition on Surface Waters of the Western North Atlantic Mitigated by Multiple Feedbacks P. St‐Laurent et al. https://doi.org/10.1002/2017JC013072
81. Emission-driven changes in anthropogenic aerosol concentrations in China during 1970–2010 and its implications for PM2.5 control policy W. Chang et al. https://doi.org/10.1016/j.atmosres.2018.05.008
82. An uncertainty for clean air: Air quality modeling implications of underestimating VOC emissions in urban inventories S. Zhu et al. https://doi.org/10.1016/j.atmosenv.2019.05.019
83. Impact of inherent meteorology uncertainty on air quality model predictions R. Gilliam et al. https://doi.org/10.1002/2015JD023674
84. Aerosol Uptake Coefficients of Isoprene Epoxides: Determination and Parameter Estimation from Online Field Measurements of Organic Molecular Markers S. Zhu et al. https://doi.org/10.1021/acs.est.5c09046
85. Current state of aerosol nucleation parameterizations for air-quality and climate modeling K. Semeniuk & A. Dastoor https://doi.org/10.1016/j.atmosenv.2018.01.039
86. Understanding interannual variations of biomass burning from Peninsular Southeast Asia, part I: Model evaluation and analysis of systematic bias X. Dong & J. Fu https://doi.org/10.1016/j.atmosenv.2015.06.026
87. Toward Improving Short‐Term Predictions of Fine Particulate Matter Over the United States Via Assimilation of Satellite Aerosol Optical Depth Retrievals R. Kumar et al. https://doi.org/10.1029/2018JD029009
88. Simulation of chemical transport model estimates by means of a neural network using meteorological data A. Vlasenko et al. https://doi.org/10.1016/j.atmosenv.2021.118236
89. Ozone source apportionment during peak summer events over southwestern Europe M. Pay et al. https://doi.org/10.5194/acp-19-5467-2019
90. Role of black carbon in modulating aerosol direct effects driven by air pollution controls during 2013–2017 in China F. Zhang et al. https://doi.org/10.1016/j.scitotenv.2022.154928
91. The Eulerian urban dispersion model EPISODE – Part 2: Extensions to the source dispersion and photochemistry for EPISODE–CityChem v1.2 and its application to the city of Hamburg M. Karl et al. https://doi.org/10.5194/gmd-12-3357-2019
92. Skill-Testing Chemical Transport Models across Contrasting Atmospheric Mixing States Using Radon-222 S. Chambers et al. https://doi.org/10.3390/atmos10010025
93. Simulation of airborne trace metals in fine particulate matter over North America J. Xu et al. https://doi.org/10.1016/j.atmosenv.2019.116883
94. Evaluation of the Community Multiscale Air Quality (CMAQ) model v5.0 against size-resolved measurements of inorganic particle composition across sites in North America C. Nolte et al. https://doi.org/10.5194/gmd-8-2877-2015
95. Model development of dust emission and heterogeneous chemistry within the Community Multiscale Air Quality modeling system and its application over East Asia X. Dong et al. https://doi.org/10.5194/acp-16-8157-2016
96. DeepSAT4D: Deep learning empowers four-dimensional atmospheric chemical concentration and emission retrieval from satellite S. Li & J. Xing https://doi.org/10.59717/j.xinn-geo.2024.100061
97. Sensitivity analysis of the dust emission treatment in CMAQv5.2.1 and its application to long-range transport over East Asia S. Kong et al. https://doi.org/10.1016/j.atmosenv.2021.118441
98. Summertime tropospheric ozone source apportionment study in the Madrid region (Spain) D. de la Paz et al. https://doi.org/10.5194/acp-24-4949-2024
99. Effect of Meteorological Variability on Fine Particulate Matter Simulations Over the Contiguous United States R. Kumar et al. https://doi.org/10.1029/2018JD029637
100. Coupling of organic and inorganic aerosol systems and the effect on gas–particle partitioning in the southeastern US H. Pye et al. https://doi.org/10.5194/acp-18-357-2018
101. The effect of emission source chemical profiles on simulated PM2.5 components: sensitivity analysis with the Community Multiscale Air Quality (CMAQ) modeling system version 5.0.2 Z. Luo et al. https://doi.org/10.5194/gmd-16-6757-2023
102. Dynamic evaluation of CMAQ part II: Evaluation of relative response factor metrics for ozone attainment demonstrations K. Foley et al. https://doi.org/10.1016/j.atmosenv.2014.12.039
103. Assessing ozone abatement scenarios in the framework of the Spanish ozone mitigation plan H. Petetin et al. https://doi.org/10.1016/j.scitotenv.2023.165380
104. Wind-blown dust and its impacts on particulate matter pollution in Northern China: current and future scenarios S. Liu et al. https://doi.org/10.1088/1748-9326/ac31ec
105. Ozone response modeling to NOx and VOC emissions: Examining machine learning models C. Kuo & J. Fu https://doi.org/10.1016/j.envint.2023.107969
106. Developing nitrate-nitrogen transport models using remotely-sensed geospatial data of soil moisture profiles and wet depositions P. Preetha & A. Al-Hamdan https://doi.org/10.1080/10934529.2020.1724503
107. Assessing PM2.5 emissions in 2020: The impacts of integrated emission control policies in China X. Zhang et al. https://doi.org/10.1016/j.envpol.2020.114575
108. Assessing the Uncertainties in Ozone and SOA Predictions due to Different Branching Ratios of the Cresol Pathway in the Toluene-OH Oxidation Mechanism J. Zhang et al. https://doi.org/10.1021/acsearthspacechem.1c00092
109. Impact of a nitrogen emission control area (NECA) on the future air quality and nitrogen deposition to seawater in the Baltic Sea region M. Karl et al. https://doi.org/10.5194/acp-19-1721-2019
110. Bias corrections for species- and source-resolved PM2.5 chemical transport model simulations using a geographically weighted regression K. Skyllakou et al. https://doi.org/10.1016/j.atmosenv.2025.121637
111. Modeling Transition Metals in East Asia and Japan and Its Emission Sources M. Kajino et al. https://doi.org/10.1029/2020GH000259
112. The Impact of Iodide-Mediated Ozone Deposition and Halogen Chemistry on Surface Ozone Concentrations Across the Continental United States B. Gantt et al. https://doi.org/10.1021/acs.est.6b03556
113. National and transboundary contributions to surface ozone concentration across European countries R. Garatachea et al. https://doi.org/10.1038/s43247-024-01716-w
114. Air pollution and climate response to aerosol direct radiative effects: A modeling study of decadal trends across the northern hemisphere J. Xing et al. https://doi.org/10.1002/2015JD023933
115. A Novel Ensemble Design for Probabilistic Predictions of Fine Particulate Matter Over the Contiguous United States (CONUS) R. Kumar et al. https://doi.org/10.1029/2020JD032554
116. Optimization of a NOx and VOC Cooperative Control Strategy Based on Clean Air Benefits D. Ding et al. https://doi.org/10.1021/acs.est.1c04201
117. A Regional multi-Air Pollutant Assimilation System (RAPAS v1.0) for emission estimates: system development and application S. Feng et al. https://doi.org/10.5194/gmd-16-5949-2023
118. Data Assimilation of Ambient Concentrations of Multiple Air Pollutants Using an Emission-Concentration Response Modeling Framework J. Xing et al. https://doi.org/10.3390/atmos11121289
119. Understanding the mechanisms of coastal PM2.5 formation driven by land-sea breeze recirculation and ship emissions J. Yoo et al. https://doi.org/10.1016/j.envpol.2025.127483
120. Updates to the Noah Land Surface Model in WRF‐CMAQ to Improve Simulated Meteorology, Air Quality, and Deposition P. Campbell et al. https://doi.org/10.1029/2018MS001422
121. Expected ozone benefits of reducing nitrogen oxide (NOx) emissions from coal-fired electricity generating units in the eastern United States T. Vinciguerra et al. https://doi.org/10.1080/10962247.2016.1230564
122. Random forest models for PM2.5 speciation concentrations using MISR fractional AODs G. Geng et al. https://doi.org/10.1088/1748-9326/ab76df
123. Spatially and Temporally Differentiated NOx and VOCs Emission Abatement Could Effectively Gain O3-Related Health Benefits Z. Dong et al. https://doi.org/10.1021/acs.est.4c01345
124. Estimation of biogenic VOC emissions and their corresponding impact on ozone and secondary organic aerosol formation in China K. Wu et al. https://doi.org/10.1016/j.atmosres.2019.104656
125. Aircraft landing and takeoff emission impacts on surface O3 and PM2.5 through aerosol direct feedback effects estimated by the coupled WRF-CMAQ model C. Moniruzzaman et al. https://doi.org/10.1016/j.atmosenv.2020.117859
126. Review of Particulate Matter Management in United States B. Kim et al. https://doi.org/10.5572/KOSAE.2018.34.4.588
127. Study on the contribution of the major desert groups on SDS weather in East Asia combining the model simulation and multiple observations H. Ning et al. https://doi.org/10.1016/j.atmosres.2025.107967
128. The impact of air pollutant deposition on solar energy system efficiency: An approach to estimate PV soiling effects with the Community Multiscale Air Quality (CMAQ) model L. Zhou et al. https://doi.org/10.1016/j.scitotenv.2018.09.194
129. Spatially resolved environmental fate models: A review P. Falakdin et al. https://doi.org/10.1016/j.chemosphere.2021.133394
130. High-Resolution Spatiotemporal Modeling for PM2.5 Major Components in the Pearl River Delta and Its Implications for Epidemiological Studies L. Wen et al. https://doi.org/10.1021/acs.est.3c11091
131. Feedbacks between air pollution and weather, Part 1: Effects on weather P. Makar et al. https://doi.org/10.1016/j.atmosenv.2014.12.003
132. Assessing the Future Vehicle Fleet Electrification: The Impacts on Regional and Urban Air Quality W. Ke et al. https://doi.org/10.1021/acs.est.6b04253
133. A Fused Lasso Approach to Nonstationary Spatial Covariance Estimation R. Parker et al. https://doi.org/10.1007/s13253-016-0251-8
134. Influence of bromine and iodine chemistry on annual, seasonal, diurnal, and background ozone: CMAQ simulations over the Northern Hemisphere G. Sarwar et al. https://doi.org/10.1016/j.atmosenv.2019.06.020
135. Unexpected Benefits of Reducing Aerosol Cooling Effects J. Xing et al. https://doi.org/10.1021/acs.est.6b00767
136. A forecasting tool for optimized emission control strategies to achieve short-term air quality attainment Z. Dong et al. https://doi.org/10.1016/j.jenvman.2024.123916
137. The contribution of wildland fire emissions to deposition in the U S: implications for tree growth and survival in the Northwest S. Koplitz et al. https://doi.org/10.1088/1748-9326/abd26e
138. Aerosol indirect effect on the grid-scale clouds in the two-way coupled WRF–CMAQ: model description, development, evaluation and regional analysis S. Yu et al. https://doi.org/10.5194/acp-14-11247-2014
139. Impact of Shanghai urban land surface forcing on downstream city ozone chemistry B. Zhu et al. https://doi.org/10.1002/2014JD022859
140. Air quality forecasts on a kilometer-scale grid over complex Spanish terrains M. Pay et al. https://doi.org/10.5194/gmd-7-1979-2014
141. Improving the presentation of HONO in CMAQ based on observations over the Yangtze River Delta Region S. Zhang et al. https://doi.org/10.1016/j.atmosres.2025.108487
142. An assessment of important SPECIATE profiles in the EPA emissions modeling platform and current data gaps C. Bray et al. https://doi.org/10.1016/j.atmosenv.2019.03.013
143. Atmospheric nitrogen deposition in the Chesapeake Bay watershed: A history of change D. Burns et al. https://doi.org/10.1016/j.atmosenv.2021.118277
144. Dynamic evaluation of CMAQ part I: Separating the effects of changing emissions and changing meteorology on ozone levels between 2002 and 2005 in the eastern US K. Foley et al. https://doi.org/10.1016/j.atmosenv.2014.12.038
145. Toward the improvement of total nitrogen deposition budgets in the United States J. Walker et al. https://doi.org/10.1016/j.scitotenv.2019.07.058
146. The pathway of impacts of aerosol direct effects on secondary inorganic aerosol formation J. Wang et al. https://doi.org/10.5194/acp-22-5147-2022
147. Does Ozone Pollution Share the Same Formation Mechanisms in the Bay Areas of China? Y. Zeren et al. https://doi.org/10.1021/acs.est.2c05126
148. Study on the causes of heavy pollution in Shenyang based on the contribution of natural conditions, physical processes, and anthropogenic emissions C. Huang et al. https://doi.org/10.1016/j.apr.2021.101224
149. Using deep transfer learning and satellite imagery to estimate urban air quality in data-poor regions N. Yadav et al. https://doi.org/10.1016/j.envpol.2023.122914
150. Advancing the community health vulnerability index for wildland fire smoke exposure J. Jung et al. https://doi.org/10.1016/j.scitotenv.2023.167834
151. A long-term high-resolution air quality reanalysis with a public-facing air quality dashboard over the Contiguous United States (CONUS) R. Kumar et al. https://doi.org/10.5194/essd-17-1807-2025
152. Impact of Enhanced Ozone Deposition and Halogen Chemistry on Tropospheric Ozone over the Northern Hemisphere G. Sarwar et al. https://doi.org/10.1021/acs.est.5b01657
153. The influence of ocean halogen and sulfur emissions in the air quality of a coastal megacity: The case of Los Angeles M. Muñiz-Unamunzaga et al. https://doi.org/10.1016/j.scitotenv.2017.06.098
154. An Episodic Assessment of Vehicle Emission Regulations on Saving Lives in California S. Samuelsen et al. https://doi.org/10.1021/acs.est.0c04060
155. Changing ozone sensitivity in the South Coast Air Basin during the COVID-19 period J. Schroeder et al. https://doi.org/10.5194/acp-22-12985-2022
156. Assessment of long-term WRF–CMAQ simulations for understanding direct aerosol effects on radiation "brightening" in the United States C. Gan et al. https://doi.org/10.5194/acp-15-12193-2015
157. Regionalized PM2.5 Community Multiscale Air Quality model performance evaluation across a continuous spatiotemporal domain J. Reyes et al. https://doi.org/10.1016/j.atmosenv.2016.10.048
158. Multi-year downscaling application of two-way coupled WRF v3.4 and CMAQ v5.0.2 over east Asia for regional climate and air quality modeling: model evaluation and aerosol direct effects C. Hong et al. https://doi.org/10.5194/gmd-10-2447-2017
159. Toward enhanced capability for detecting and predicting dust events in the western United States: the Arizona case study M. Huang et al. https://doi.org/10.5194/acp-15-12595-2015
160. Annual application and evaluation of the online coupled WRF–CMAQ system over North America under AQMEII phase 2 C. Hogrefe et al. https://doi.org/10.1016/j.atmosenv.2014.12.034
161. An improved representation of aerosol mixing state for air quality–weather interactions R. Stevens et al. https://doi.org/10.5194/acp-22-13527-2022
162. Contribution of Iraqi and Syrian dust storms on particulate matter concentration during a dust storm episode in receptor cities: Case study of Tehran V. Farahani & M. Arhami https://doi.org/10.1016/j.atmosenv.2019.117163
163. Improved distance-based detection of PM2.5 monitor deserts across the contiguous United States J. Jung et al. https://doi.org/10.1007/s11869-026-01916-7
164. An Integrated Agriculture, Atmosphere, and Hydrology Modeling System for Ecosystem Assessments L. Ran et al. https://doi.org/10.1029/2019MS001708
165. Air quality modeling to inform pollution mitigation strategies in a Latin American megacity J. East et al. https://doi.org/10.1016/j.scitotenv.2021.145894
166. A multi-model assessment for the 2006 and 2010 simulations under the Air Quality Model Evaluation International Initiative (AQMEII) phase 2 over North America: Part I. Indicators of the sensitivity of O3 and PM2.5 formation regimes P. Campbell et al. https://doi.org/10.1016/j.atmosenv.2014.12.026
167. Investigating the response of China's surface ozone concentration to the future changes of multiple factors J. Yang et al. https://doi.org/10.5194/acp-25-2649-2025
168. Responses of nitrogen and sulfur deposition to NH3 emission control in the Yangtze River Delta, China Z. Dong et al. https://doi.org/10.1016/j.envpol.2022.119646
169. Improving Surface PM2.5 Forecasts in the United States Using an Ensemble of Chemical Transport Model Outputs: 1. Bias Correction With Surface Observations in Nonrural Areas H. Zhang et al. https://doi.org/10.1029/2019JD032293
170. Retrieving ground-level PM2.5 concentrations in China (2013–2021) with a numerical-model-informed testbed to mitigate sample-imbalance-induced biases S. Li et al. https://doi.org/10.5194/essd-16-3781-2024
171. Impacts of Atmospheric Nitrogen Deposition and Coastal Nitrogen Fluxes on Oxygen Concentrations in Chesapeake Bay F. Da et al. https://doi.org/10.1029/2018JC014009
172. A Multi-Agglomeration Assessment of Air Quality Responses to Top-Down NOx Emission Changes: Insights from Trends in Surface NO2 and O3 Across Urban China (2014–2021) Y. Shen et al. https://doi.org/10.3390/atmos17030313
173. Water uptake and optical properties of mixed organic-inorganic particles L. Nandy et al. https://doi.org/10.1080/02786826.2021.1966378
174. Impact of wildfires on regional ozone and PM2.5: Considering the light absorption of Brown carbon M. Choi et al. https://doi.org/10.1016/j.atmosenv.2023.120196
175. Rapid Inference of Nitrogen Oxide Emissions Based on a Top-Down Method with a Physically Informed Variational Autoencoder J. Xing et al. https://doi.org/10.1021/acs.est.1c08337
176. Development and evaluation of a physics‐based windblown dust emission scheme implemented in the CMAQ modeling system H. Foroutan et al. https://doi.org/10.1002/2016MS000823
177. Evaluation of near surface ozone and particulate matter in air quality simulations driven by dynamically downscaled historical meteorological fields K. Seltzer et al. https://doi.org/10.1016/j.atmosenv.2016.05.010
178. Co-benefits of global and regional greenhouse gas mitigation for US air quality in 2050 Y. Zhang et al. https://doi.org/10.5194/acp-16-9533-2016
179. Synergetic PM2.5 and O3 control strategy for the Yangtze River Delta, China Z. Dong et al. https://doi.org/10.1016/j.jes.2022.04.008
180. From Home and Abroad─Atmospheric Age-Resolved Modeling Reveals the Origin and Evolution of Photochemical Ozone in South Korea M. Choi & Q. Ying https://doi.org/10.1021/acsestair.4c00029
181. Improving Surface PM2.5 Forecasts in the United States Using an Ensemble of Chemical Transport Model Outputs: 2. Bias Correction With Satellite Data for Rural Areas H. Zhang et al. https://doi.org/10.1029/2021JD035563
182. Estimated Contributions of Emissions Controls, Meteorological Factors, Population Growth, and Changes in Baseline Mortality to Reductions in Ambient PM2.5 and PM2.5-Related Mortality in China, 2013–2017 D. Ding et al. https://doi.org/10.1289/EHP4157
183. Drivers of alleviated PM2.5 and O3 concentrations in China from 2013 to 2020 T. Shao et al. https://doi.org/10.1016/j.resconrec.2023.107110
184. Numerical assessment of PM2.5 and O3 air quality in continental Southeast Asia: Baseline simulation and aerosol direct effects investigation G. Nguyen et al. https://doi.org/10.1016/j.atmosenv.2019.117054
185. Numerical analysis of CH4 concentration distributions over East Asia with a regional chemical transport model L. Qin et al. https://doi.org/10.1016/j.atmosenv.2023.120207
186. Numerical assessment of PM2.5 and O3 air quality in Continental Southeast Asia: Impacts of future projected anthropogenic emission change and its impacts in combination with potential future climate change impacts G. Nguyen et al. https://doi.org/10.1016/j.atmosenv.2020.117398
187. Assessment of Air Quality and Meteorological Changes Induced by Future Vegetation in Madrid D. de la Paz et al. https://doi.org/10.3390/f13050690
188. Evaluation of operational online-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part II: Particulate matter U. Im et al. https://doi.org/10.1016/j.atmosenv.2014.08.072
189. GPS-ZTD data assimilation and its impact on wintertime haze prediction over North China Plain using WRF 3DVAR and CMAQ modeling system L. Gao et al. https://doi.org/10.1007/s11356-021-15248-9
190. Wildland fire smoke exposure disparities by wildland urban interface category and land ownership J. Jung et al. https://doi.org/10.1016/j.landurbplan.2025.105423