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3. Current state of aerosol nucleation parameterizations for air-quality and climate modeling K. Semeniuk & A. Dastoor 10.1016/j.atmosenv.2018.01.039
4. Understanding interannual variations of biomass burning from Peninsular Southeast Asia, part I: Model evaluation and analysis of systematic bias X. Dong & J. Fu 10.1016/j.atmosenv.2015.06.026
5. 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. 10.3390/air2020011
6. 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. 10.1021/acsearthspacechem.4c00258
7. 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. 10.1029/2018JD029009
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10. Insights into seasonal variation of wet deposition over southeast Asia via precipitation adjustment from the findings of MICS-Asia III S. Itahashi et al. 10.5194/acp-21-8709-2021
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13. 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. 10.5194/gmd-12-3357-2019
14. Skill-Testing Chemical Transport Models across Contrasting Atmospheric Mixing States Using Radon-222 S. Chambers et al. 10.3390/atmos10010025
15. Simulation of airborne trace metals in fine particulate matter over North America J. Xu et al. 10.1016/j.atmosenv.2019.116883
16. 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. 10.5194/gmd-8-2877-2015
17. Development of Korean Air Quality Prediction System version 1 (KAQPS v1) with focuses on practical issues K. Lee et al. 10.5194/gmd-13-1055-2020
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20. 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. 10.5194/acp-16-8157-2016
21. DeepSAT4D: Deep learning empowers four-dimensional atmospheric chemical concentration and emission retrieval from satellite S. Li & J. Xing 10.59717/j.xinn-geo.2024.100061
22. Assessing uncertainties of a geophysical approach to estimate surface fine particulate matter distributions from satellite-observed aerosol optical depth X. Jin et al. 10.5194/acp-19-295-2019
23. 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. 10.1016/j.atmosenv.2021.118441
24. Observation and modeling of black soil wind-blown erosion from cropland in Northeastern China X. Zhang et al. 10.1016/j.aeolia.2015.07.009
25. Summertime tropospheric ozone source apportionment study in the Madrid region (Spain) D. de la Paz et al. 10.5194/acp-24-4949-2024
26. Effect of Meteorological Variability on Fine Particulate Matter Simulations Over the Contiguous United States R. Kumar et al. 10.1029/2018JD029637
27. Coupling of organic and inorganic aerosol systems and the effect on gas–particle partitioning in the southeastern US H. Pye et al. 10.5194/acp-18-357-2018
28. 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. 10.5194/gmd-16-6757-2023
29. Dynamic evaluation of CMAQ part II: Evaluation of relative response factor metrics for ozone attainment demonstrations K. Foley et al. 10.1016/j.atmosenv.2014.12.039
30. Assessing ozone abatement scenarios in the framework of the Spanish ozone mitigation plan H. Petetin et al. 10.1016/j.scitotenv.2023.165380
31. Wind-blown dust and its impacts on particulate matter pollution in Northern China: current and future scenarios S. Liu et al. 10.1088/1748-9326/ac31ec
32. Ozone response modeling to NOx and VOC emissions: Examining machine learning models C. Kuo & J. Fu 10.1016/j.envint.2023.107969
33. Developing nitrate-nitrogen transport models using remotely-sensed geospatial data of soil moisture profiles and wet depositions P. Preetha & A. Al-Hamdan 10.1080/10934529.2020.1724503
34. Assessing PM2.5 emissions in 2020: The impacts of integrated emission control policies in China X. Zhang et al. 10.1016/j.envpol.2020.114575
35. 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. 10.1021/acsearthspacechem.1c00092
36. Impacts of aerosol direct effects on tropospheric ozone through changes in atmospheric dynamics and photolysis rates J. Xing et al. 10.5194/acp-17-9869-2017
37. Health and economic cost estimates of short-term total and wildfire PM2.5exposure on work loss: using the consecutive California Health Interview Survey (CHIS) data 2015–2018 Y. Meng et al. 10.1136/bmjph-2023-000491
38. 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. 10.5194/acp-19-1721-2019
39. Expanding the simulation of East Asian super dust storms: physical transport mechanisms impacting the western Pacific S. Kong et al. 10.5194/acp-24-1041-2024
40. Exploring deep learning for air pollutant emission estimation L. Huang et al. 10.5194/gmd-14-4641-2021
41. Modeling Transition Metals in East Asia and Japan and Its Emission Sources M. Kajino et al. 10.1029/2020GH000259
42. The Impact of Iodide-Mediated Ozone Deposition and Halogen Chemistry on Surface Ozone Concentrations Across the Continental United States B. Gantt et al. 10.1021/acs.est.6b03556
43. Shipborne nutrient dynamics and impact on the eutrophication in the Baltic Sea U. Raudsepp et al. 10.1016/j.scitotenv.2019.03.264
44. A Review of the Representation of Aerosol Mixing State in Atmospheric Models R. Stevens & A. Dastoor 10.3390/atmos10040168
45. The potential effects of climate change on air quality across the conterminous US at 2030 under three Representative Concentration Pathways C. Nolte et al. 10.5194/acp-18-15471-2018
46. National and transboundary contributions to surface ozone concentration across European countries R. Garatachea et al. 10.1038/s43247-024-01716-w
47. Air pollution and climate response to aerosol direct radiative effects: A modeling study of decadal trends across the northern hemisphere J. Xing et al. 10.1002/2015JD023933
48. A Novel Ensemble Design for Probabilistic Predictions of Fine Particulate Matter Over the Contiguous United States (CONUS) R. Kumar et al. 10.1029/2020JD032554
49. Optimization of a NOx and VOC Cooperative Control Strategy Based on Clean Air Benefits D. Ding et al. 10.1021/acs.est.1c04201
50. Estimation of Aromatic Secondary Organic Aerosol Using a Molecular Tracer—A Chemical Transport Model Assessment J. Zhang et al. 10.1021/acs.est.1c03670
51. Improvement and further development in CESM/CAM5: gas-phase chemistry and inorganic aerosol treatments J. He & Y. Zhang 10.5194/acp-14-9171-2014
52. 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. 10.1071/WF18053
53. Modeling Reactive Ammonia Uptake by Secondary Organic Aerosol in a Changing Climate: A WRF-CMAQ Evaluation S. Zhu et al. 10.3389/fenvs.2022.867908
54. Drought Impacts on Secondary Organic Aerosol: A Case Study in the Southeast United States Z. Zhao et al. 10.1021/acs.est.8b04842
55. 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. 10.5194/acp-19-2327-2019
56. 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. 10.5194/gmd-14-7189-2021
57. 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
58. Data Assimilation of Ambient Concentrations of Multiple Air Pollutants Using an Emission-Concentration Response Modeling Framework J. Xing et al. 10.3390/atmos11121289
59. Fine particulate matter source apportionment using a hybrid chemical transport and receptor model approach Y. Hu et al. 10.5194/acp-14-5415-2014
60. Updates to the Noah Land Surface Model in WRF‐CMAQ to Improve Simulated Meteorology, Air Quality, and Deposition P. Campbell et al. 10.1029/2018MS001422
61. Expected ozone benefits of reducing nitrogen oxide (NOx) emissions from coal-fired electricity generating units in the eastern United States T. Vinciguerra et al. 10.1080/10962247.2016.1230564
62. 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. 10.1021/acs.est.3c10693
63. Random forest models for PM2.5 speciation concentrations using MISR fractional AODs G. Geng et al. 10.1088/1748-9326/ab76df
64. Spatially and Temporally Differentiated NOx and VOCs Emission Abatement Could Effectively Gain O3-Related Health Benefits Z. Dong et al. 10.1021/acs.est.4c01345
65. Short-Term total and wildfire fine particulate matter exposure and work loss in California Y. Meng et al. 10.1016/j.envint.2023.108045
66. Estimation of biogenic VOC emissions and their corresponding impact on ozone and secondary organic aerosol formation in China K. Wu et al. 10.1016/j.atmosres.2019.104656
67. 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. 10.5194/gmd-15-2773-2022
68. Refinement of Modeled Aqueous-Phase Sulfate Production via the Fe- and Mn-Catalyzed Oxidation Pathway S. Itahashi et al. 10.3390/atmos9040132
69. 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. 10.1016/j.atmosenv.2020.117859
70. 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. 10.1016/j.atmosenv.2019.117020
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74. 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. 10.1016/j.scitotenv.2018.09.194
75. Spatially resolved environmental fate models: A review P. Falakdin et al. 10.1016/j.chemosphere.2021.133394
76. Source apportionment of Pb-containing particles in Beijing during January 2013 J. Cai et al. 10.1016/j.envpol.2017.04.004
77. 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. 10.1016/j.atmosenv.2014.10.061
78. High-Resolution Spatiotemporal Modeling for PM2.5 Major Components in the Pearl River Delta and Its Implications for Epidemiological Studies L. Wen et al. 10.1021/acs.est.3c11091
79. Assessment of the effects of horizontal grid resolution on long-term air quality trends using coupled WRF-CMAQ simulations C. Gan et al. 10.1016/j.atmosenv.2016.02.036
80. Effects of ship emissions on air quality in the Baltic Sea region simulated with three different chemistry transport models M. Karl et al. 10.5194/acp-19-7019-2019
81. MICS-Asia III: multi-model comparison and evaluation of aerosol over East Asia L. Chen et al. 10.5194/acp-19-11911-2019
82. Feedbacks between air pollution and weather, Part 1: Effects on weather P. Makar et al. 10.1016/j.atmosenv.2014.12.003
83. The acidity of atmospheric particles and clouds H. Pye et al. 10.5194/acp-20-4809-2020
84. Assessing the Future Vehicle Fleet Electrification: The Impacts on Regional and Urban Air Quality W. Ke et al. 10.1021/acs.est.6b04253
85. A Fused Lasso Approach to Nonstationary Spatial Covariance Estimation R. Parker et al. 10.1007/s13253-016-0251-8
86. Investigation of aerosol direct effects on meteorology and air quality in East Asia by using an online coupled modeling system G. Nguyen et al. 10.1016/j.atmosenv.2019.03.017
87. Influence of bromine and iodine chemistry on annual, seasonal, diurnal, and background ozone: CMAQ simulations over the Northern Hemisphere G. Sarwar et al. 10.1016/j.atmosenv.2019.06.020
88. Unexpected Benefits of Reducing Aerosol Cooling Effects J. Xing et al. 10.1021/acs.est.6b00767
89. Why do models perform differently on particulate matter over East Asia? A multi-model intercomparison study for MICS-Asia III J. Tan et al. 10.5194/acp-20-7393-2020
90. A database and tool for boundary conditions for regional air quality modeling: description and evaluation B. Henderson et al. 10.5194/gmd-7-339-2014
91. A forecasting tool for optimized emission control strategies to achieve short-term air quality attainment Z. Dong et al. 10.1016/j.jenvman.2024.123916
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93. 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. 10.5194/acp-14-11247-2014
94. 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. 10.5194/acp-17-9931-2017
95. A Physically Constrained Deep-Learning Fusion Method for Estimating Surface NO2 Concentration from Satellite and Ground Monitors J. Xing et al. 10.1021/acs.est.4c07341
96. Impact of Shanghai urban land surface forcing on downstream city ozone chemistry B. Zhu et al. 10.1002/2014JD022859
97. Air quality forecasts on a kilometer-scale grid over complex Spanish terrains M. Pay et al. 10.5194/gmd-7-1979-2014
98. An assessment of important SPECIATE profiles in the EPA emissions modeling platform and current data gaps C. Bray et al. 10.1016/j.atmosenv.2019.03.013
99. Enhanced CAMx source apportionment analysis at an urban receptor in Milan based on source categories and emission regions N. Pepe et al. 10.1016/j.aeaoa.2019.100020
100. Evaluation and error apportionment of an ensemble of atmospheric chemistry transport modeling systems: multivariable temporal and spatial breakdown E. Solazzo et al. 10.5194/acp-17-3001-2017
101. Atmospheric nitrogen deposition in the Chesapeake Bay watershed: A history of change D. Burns et al. 10.1016/j.atmosenv.2021.118277
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103. 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. 10.5194/acp-22-5265-2022
104. Toward the improvement of total nitrogen deposition budgets in the United States J. Walker et al. 10.1016/j.scitotenv.2019.07.058
105. 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. 10.5194/acp-18-7799-2018
106. Present Knowledge and Future Perspectives of Atmospheric Emission Inventories of Toxic Trace Elements: A Critical Review X. Bai et al. 10.1021/acs.est.2c07147
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108. 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. 10.5194/gmd-14-3969-2021
109. The pathway of impacts of aerosol direct effects on secondary inorganic aerosol formation J. Wang et al. 10.5194/acp-22-5147-2022
110. The Effect of Lockdown Period during the COVID-19 Pandemic on Air Quality in Sydney Region, Australia H. Duc et al. 10.3390/ijerph18073528
111. Does Ozone Pollution Share the Same Formation Mechanisms in the Bay Areas of China? Y. Zeren et al. 10.1021/acs.est.2c05126
112. Size-segregated aerosol chemical composition from an agro-industrial region of São Paulo state, Brazil C. Gonçalves et al. 10.1007/s11869-016-0441-0
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115. 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. 10.1016/j.apr.2021.101224
116. Using deep transfer learning and satellite imagery to estimate urban air quality in data-poor regions N. Yadav et al. 10.1016/j.envpol.2023.122914
117. Advancing the community health vulnerability index for wildland fire smoke exposure J. Jung et al. 10.1016/j.scitotenv.2023.167834
118. 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. 10.5194/essd-17-1807-2025
119. Cross-comparison and evaluation of air pollution field estimation methods H. Yu et al. 10.1016/j.atmosenv.2018.01.045
120. Impact of Enhanced Ozone Deposition and Halogen Chemistry on Tropospheric Ozone over the Northern Hemisphere G. Sarwar et al. 10.1021/acs.est.5b01657
121. 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. 10.1016/j.scitotenv.2017.06.098
122. An Episodic Assessment of Vehicle Emission Regulations on Saving Lives in California S. Samuelsen et al. 10.1021/acs.est.0c04060
123. Changing ozone sensitivity in the South Coast Air Basin during the COVID-19 period J. Schroeder et al. 10.5194/acp-22-12985-2022
124. 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. 10.1021/acs.est.9b02005
125. Ambient air pollution and depressed mood in the National Longitudinal Study of Adolescent to Adult Health (Add Health) wave 4 W. Yu et al. 10.1093/aje/kwae314
126. Assessment of long-term WRF–CMAQ simulations for understanding direct aerosol effects on radiation "brightening" in the United States C. Gan et al. 10.5194/acp-15-12193-2015
127. Regionalized PM2.5 Community Multiscale Air Quality model performance evaluation across a continuous spatiotemporal domain J. Reyes et al. 10.1016/j.atmosenv.2016.10.048
128. Simulating the phase partitioning of NH3, HNO3, and HCl with size-resolved particles over northern Colorado in winter J. Kelly et al. 10.1016/j.atmosenv.2016.01.049
129. 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. 10.5194/gmd-10-2447-2017
130. Toward enhanced capability for detecting and predicting dust events in the western United States: the Arizona case study M. Huang et al. 10.5194/acp-15-12595-2015
131. Role of emission controls in reducing the 2050 climate change penalty for PM2.5 in China S. Liu et al. 10.1016/j.scitotenv.2020.144338
132. Annual application and evaluation of the online coupled WRF–CMAQ system over North America under AQMEII phase 2 C. Hogrefe et al. 10.1016/j.atmosenv.2014.12.034
133. An improved representation of aerosol mixing state for air quality–weather interactions R. Stevens et al. 10.5194/acp-22-13527-2022
134. Anthropogenic fugitive, combustion and industrial dust is a significant, underrepresented fine particulate matter source in global atmospheric models S. Philip et al. 10.1088/1748-9326/aa65a4
135. 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 10.1016/j.atmosenv.2019.117163
136. Crop Residue Burning Emissions and the Impact on Ambient Particulate Matters over South Korea K. Han et al. 10.3390/atmos13040559
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138. 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 10.1016/j.atmosenv.2024.120942
139. Air quality modeling to inform pollution mitigation strategies in a Latin American megacity J. East et al. 10.1016/j.scitotenv.2021.145894
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142. Responses of nitrogen and sulfur deposition to NH3 emission control in the Yangtze River Delta, China Z. Dong et al. 10.1016/j.envpol.2022.119646
143. Predicting wildfire particulate matter and hypothetical re-emission of radiological Cs-137 contamination incidents K. Baker et al. 10.1016/j.scitotenv.2021.148872
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145. 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. 10.5194/essd-16-3781-2024
146. Impacts of Atmospheric Nitrogen Deposition and Coastal Nitrogen Fluxes on Oxygen Concentrations in Chesapeake Bay F. Da et al. 10.1029/2018JC014009
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148. 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. 10.1016/j.atmosenv.2019.117012
149. Water uptake and optical properties of mixed organic-inorganic particles L. Nandy et al. 10.1080/02786826.2021.1966378
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156. 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. 10.5194/acp-19-15321-2019
157. Synergetic PM2.5 and O3 control strategy for the Yangtze River Delta, China Z. Dong et al. 10.1016/j.jes.2022.04.008
158. Mimicking atmospheric photochemical modeling with a deep neural network J. Xing et al. 10.1016/j.atmosres.2021.105919
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160. Projections of Atmospheric Nitrogen Deposition to the Chesapeake Bay Watershed P. Campbell et al. 10.1029/2019JG005203
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