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2. A Measurement‐Model Fusion Approach for Improved Wet Deposition Maps and Trends Y. Zhang et al. 10.1029/2018JD029051
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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9. Ozone source apportionment during peak summer events over southwestern Europe M. Pay et al. 10.5194/acp-19-5467-2019
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
11. Role of black carbon in modulating aerosol direct effects driven by air pollution controls during 2013–2017 in China F. Zhang et al. 10.1016/j.scitotenv.2022.154928
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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. Enhancing 72-Hour air quality forecasting with an observation-driven deep learning chemistry transport model S. Li & J. Xing 10.1016/j.envint.2025.109689
51. Estimation of Aromatic Secondary Organic Aerosol Using a Molecular Tracer—A Chemical Transport Model Assessment J. Zhang et al. 10.1021/acs.est.1c03670
52. Improvement and further development in CESM/CAM5: gas-phase chemistry and inorganic aerosol treatments J. He & Y. Zhang 10.5194/acp-14-9171-2014
53. 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
54. 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
55. Drought Impacts on Secondary Organic Aerosol: A Case Study in the Southeast United States Z. Zhao et al. 10.1021/acs.est.8b04842
56. 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
57. 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
58. 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
59. Data Assimilation of Ambient Concentrations of Multiple Air Pollutants Using an Emission-Concentration Response Modeling Framework J. Xing et al. 10.3390/atmos11121289
60. Fine particulate matter source apportionment using a hybrid chemical transport and receptor model approach Y. Hu et al. 10.5194/acp-14-5415-2014
61. 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
62. 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
63. 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
64. Random forest models for PM2.5 speciation concentrations using MISR fractional AODs G. Geng et al. 10.1088/1748-9326/ab76df
65. 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
66. Short-Term total and wildfire fine particulate matter exposure and work loss in California Y. Meng et al. 10.1016/j.envint.2023.108045
67. 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
68. 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
69. Refinement of Modeled Aqueous-Phase Sulfate Production via the Fe- and Mn-Catalyzed Oxidation Pathway S. Itahashi et al. 10.3390/atmos9040132
70. 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
71. 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. 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. 10.1016/j.atmosres.2025.107967
75. 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
76. Spatially resolved environmental fate models: A review P. Falakdin et al. 10.1016/j.chemosphere.2021.133394
77. Source apportionment of Pb-containing particles in Beijing during January 2013 J. Cai et al. 10.1016/j.envpol.2017.04.004
78. 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
79. 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
80. 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
81. 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
82. MICS-Asia III: multi-model comparison and evaluation of aerosol over East Asia L. Chen et al. 10.5194/acp-19-11911-2019
83. Feedbacks between air pollution and weather, Part 1: Effects on weather P. Makar et al. 10.1016/j.atmosenv.2014.12.003
84. The acidity of atmospheric particles and clouds H. Pye et al. 10.5194/acp-20-4809-2020
85. Assessing the Future Vehicle Fleet Electrification: The Impacts on Regional and Urban Air Quality W. Ke et al. 10.1021/acs.est.6b04253
86. A Fused Lasso Approach to Nonstationary Spatial Covariance Estimation R. Parker et al. 10.1007/s13253-016-0251-8
87. 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
88. 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
89. Unexpected Benefits of Reducing Aerosol Cooling Effects J. Xing et al. 10.1021/acs.est.6b00767
90. 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
91. 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
92. 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
93. 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. 10.1088/1748-9326/abd26e
94. 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
95. 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
96. 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
97. Impact of Shanghai urban land surface forcing on downstream city ozone chemistry B. Zhu et al. 10.1002/2014JD022859
98. Air quality forecasts on a kilometer-scale grid over complex Spanish terrains M. Pay et al. 10.5194/gmd-7-1979-2014
99. 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
100. 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
101. 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
102. 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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104. 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
105. Toward the improvement of total nitrogen deposition budgets in the United States J. Walker et al. 10.1016/j.scitotenv.2019.07.058
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107. 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
108. Description and evaluation of the Community Multiscale Air Quality (CMAQ) modeling system version 5.1 K. Appel et al. 10.5194/gmd-10-1703-2017
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110. The pathway of impacts of aerosol direct effects on secondary inorganic aerosol formation J. Wang et al. 10.5194/acp-22-5147-2022
111. The Effect of Lockdown Period during the COVID-19 Pandemic on Air Quality in Sydney Region, Australia H. Duc et al. 10.3390/ijerph18073528
112. Does Ozone Pollution Share the Same Formation Mechanisms in the Bay Areas of China? Y. Zeren et al. 10.1021/acs.est.2c05126
113. 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
114. Aerosol Absorption: Progress Towards Global and Regional Constraints B. Samset et al. 10.1007/s40641-018-0091-4
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116. 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
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118. Advancing the community health vulnerability index for wildland fire smoke exposure J. Jung et al. 10.1016/j.scitotenv.2023.167834
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120. Cross-comparison and evaluation of air pollution field estimation methods H. Yu et al. 10.1016/j.atmosenv.2018.01.045
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122. 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
123. An Episodic Assessment of Vehicle Emission Regulations on Saving Lives in California S. Samuelsen et al. 10.1021/acs.est.0c04060
124. Changing ozone sensitivity in the South Coast Air Basin during the COVID-19 period J. Schroeder et al. 10.5194/acp-22-12985-2022
125. 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
126. 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
127. 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
128. 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
129. 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
130. 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
131. 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
132. 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
133. 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
134. An improved representation of aerosol mixing state for air quality–weather interactions R. Stevens et al. 10.5194/acp-22-13527-2022
135. 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
136. 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
137. 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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140. 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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143. 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
144. Predicting wildfire particulate matter and hypothetical re-emission of radiological Cs-137 contamination incidents K. Baker et al. 10.1016/j.scitotenv.2021.148872
145. 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. 10.1029/2019JD032293
146. 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
147. Impacts of Atmospheric Nitrogen Deposition and Coastal Nitrogen Fluxes on Oxygen Concentrations in Chesapeake Bay F. Da et al. 10.1029/2018JC014009
148. Revealing the impacts of transboundary pollution on PM2.5-related deaths in China S. Liu et al. 10.1016/j.envint.2019.105323
149. 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
150. Water uptake and optical properties of mixed organic-inorganic particles L. Nandy et al. 10.1080/02786826.2021.1966378
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152. Rapid Inference of Nitrogen Oxide Emissions Based on a Top-Down Method with a Physically Informed Variational Autoencoder J. Xing et al. 10.1021/acs.est.1c08337
153. 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. 10.1029/2018JD029859
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156. Co-benefits of global and regional greenhouse gas mitigation for US air quality in 2050 Y. Zhang et al. 10.5194/acp-16-9533-2016
157. 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
158. Synergetic PM2.5 and O3 control strategy for the Yangtze River Delta, China Z. Dong et al. 10.1016/j.jes.2022.04.008
159. Mimicking atmospheric photochemical modeling with a deep neural network J. Xing et al. 10.1016/j.atmosres.2021.105919
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161. Projections of Atmospheric Nitrogen Deposition to the Chesapeake Bay Watershed P. Campbell et al. 10.1029/2019JG005203
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