189 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. 10.5194/acp-18-5967-2018
2. A Measurement‐Model Fusion Approach for Improved Wet Deposition Maps and Trends Y. Zhang et al. 10.1029/2018JD029051
3. Aerosol Uptake Coefficients of Isoprene Epoxides: Determination and Parameter Estimation from Online Field Measurements of Organic Molecular Markers S. Zhu et al. 10.1021/acs.est.5c09046
4. Current state of aerosol nucleation parameterizations for air-quality and climate modeling K. Semeniuk & A. Dastoor 10.1016/j.atmosenv.2018.01.039
5. 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
6. 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
7. 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
8. 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
9. Simulation of chemical transport model estimates by means of a neural network using meteorological data A. Vlasenko et al. 10.1016/j.atmosenv.2021.118236
10. Ozone source apportionment during peak summer events over southwestern Europe M. Pay et al. 10.5194/acp-19-5467-2019
11. 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
12. 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
13. 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. 10.5194/acp-18-8929-2018
14. 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
15. Skill-Testing Chemical Transport Models across Contrasting Atmospheric Mixing States Using Radon-222 S. Chambers et al. 10.3390/atmos10010025
16. Simulation of airborne trace metals in fine particulate matter over North America J. Xu et al. 10.1016/j.atmosenv.2019.116883
17. 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
18. 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
19. Impacts of future climate and emission changes on U.S. air quality A. Penrod et al. 10.1016/j.atmosenv.2014.01.001
20. A Global‐Scale Mineral Dust Equation X. Liu et al. 10.1029/2022JD036937
21. 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
22. 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
23. 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
24. 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
25. 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
26. Summertime tropospheric ozone source apportionment study in the Madrid region (Spain) D. de la Paz et al. 10.5194/acp-24-4949-2024
27. Effect of Meteorological Variability on Fine Particulate Matter Simulations Over the Contiguous United States R. Kumar et al. 10.1029/2018JD029637
28. 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
29. 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
30. 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
31. Assessing ozone abatement scenarios in the framework of the Spanish ozone mitigation plan H. Petetin et al. 10.1016/j.scitotenv.2023.165380
32. 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
33. Ozone response modeling to NOx and VOC emissions: Examining machine learning models C. Kuo & J. Fu 10.1016/j.envint.2023.107969
34. 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
35. 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
36. 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
37. 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
38. 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. 10.1136/bmjph-2023-000491
39. 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
40. 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
41. Exploring deep learning for air pollutant emission estimation L. Huang et al. 10.5194/gmd-14-4641-2021
42. Modeling Transition Metals in East Asia and Japan and Its Emission Sources M. Kajino et al. 10.1029/2020GH000259
43. 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
44. Shipborne nutrient dynamics and impact on the eutrophication in the Baltic Sea U. Raudsepp et al. 10.1016/j.scitotenv.2019.03.264
45. A Review of the Representation of Aerosol Mixing State in Atmospheric Models R. Stevens & A. Dastoor 10.3390/atmos10040168
46. 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
47. National and transboundary contributions to surface ozone concentration across European countries R. Garatachea et al. 10.1038/s43247-024-01716-w
48. 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
49. A Novel Ensemble Design for Probabilistic Predictions of Fine Particulate Matter Over the Contiguous United States (CONUS) R. Kumar et al. 10.1029/2020JD032554
50. Optimization of a NOx and VOC Cooperative Control Strategy Based on Clean Air Benefits D. Ding et al. 10.1021/acs.est.1c04201
51. 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
52. Estimation of Aromatic Secondary Organic Aerosol Using a Molecular Tracer—A Chemical Transport Model Assessment J. Zhang et al. 10.1021/acs.est.1c03670
53. Improvement and further development in CESM/CAM5: gas-phase chemistry and inorganic aerosol treatments J. He & Y. Zhang 10.5194/acp-14-9171-2014
54. 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
55. 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
56. Drought Impacts on Secondary Organic Aerosol: A Case Study in the Southeast United States Z. Zhao et al. 10.1021/acs.est.8b04842
57. 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
58. 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
59. 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
60. A Holistic Clean Air Strategy Considering Integrated Health and Ecological Impacts Z. Dong et al. 10.1021/acs.est.5c08854
61. Data Assimilation of Ambient Concentrations of Multiple Air Pollutants Using an Emission-Concentration Response Modeling Framework J. Xing et al. 10.3390/atmos11121289
62. Fine particulate matter source apportionment using a hybrid chemical transport and receptor model approach Y. Hu et al. 10.5194/acp-14-5415-2014
63. 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
64. 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
65. 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
66. Random forest models for PM2.5 speciation concentrations using MISR fractional AODs G. Geng et al. 10.1088/1748-9326/ab76df
67. 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
68. Short-Term total and wildfire fine particulate matter exposure and work loss in California Y. Meng et al. 10.1016/j.envint.2023.108045
69. 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
70. 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
71. Refinement of Modeled Aqueous-Phase Sulfate Production via the Fe- and Mn-Catalyzed Oxidation Pathway S. Itahashi et al. 10.3390/atmos9040132
72. 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
73. 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
74. Review of Particulate Matter Management in United States B. Kim et al. 10.5572/KOSAE.2018.34.4.588
75. Current State of Atmospheric Aerosol Thermodynamics and Mass Transfer Modeling: A Review K. Semeniuk & A. Dastoor 10.3390/atmos11020156
76. 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
77. 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
78. Spatially resolved environmental fate models: A review P. Falakdin et al. 10.1016/j.chemosphere.2021.133394
79. Source apportionment of Pb-containing particles in Beijing during January 2013 J. Cai et al. 10.1016/j.envpol.2017.04.004
80. 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
81. 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
82. 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
83. 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
84. MICS-Asia III: multi-model comparison and evaluation of aerosol over East Asia L. Chen et al. 10.5194/acp-19-11911-2019
85. Feedbacks between air pollution and weather, Part 1: Effects on weather P. Makar et al. 10.1016/j.atmosenv.2014.12.003
86. The acidity of atmospheric particles and clouds H. Pye et al. 10.5194/acp-20-4809-2020
87. Assessing the Future Vehicle Fleet Electrification: The Impacts on Regional and Urban Air Quality W. Ke et al. 10.1021/acs.est.6b04253
88. A Fused Lasso Approach to Nonstationary Spatial Covariance Estimation R. Parker et al. 10.1007/s13253-016-0251-8
89. 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
90. 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
91. Unexpected Benefits of Reducing Aerosol Cooling Effects J. Xing et al. 10.1021/acs.est.6b00767
92. 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
93. 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
94. 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
95. 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
96. 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
97. 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
98. 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
99. Impact of Shanghai urban land surface forcing on downstream city ozone chemistry B. Zhu et al. 10.1002/2014JD022859
100. Air quality forecasts on a kilometer-scale grid over complex Spanish terrains M. Pay et al. 10.5194/gmd-7-1979-2014
101. Improving the presentation of HONO in CMAQ based on observations over the Yangtze River Delta Region S. Zhang et al. 10.1016/j.atmosres.2025.108487
102. 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
103. 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
104. 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
105. Atmospheric nitrogen deposition in the Chesapeake Bay watershed: A history of change D. Burns et al. 10.1016/j.atmosenv.2021.118277
106. 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. 10.1016/j.atmosenv.2014.12.038
107. 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
108. Toward the improvement of total nitrogen deposition budgets in the United States J. Walker et al. 10.1016/j.scitotenv.2019.07.058
109. 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
110. 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
111. 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
112. 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
113. The pathway of impacts of aerosol direct effects on secondary inorganic aerosol formation J. Wang et al. 10.5194/acp-22-5147-2022
114. The Effect of Lockdown Period during the COVID-19 Pandemic on Air Quality in Sydney Region, Australia H. Duc et al. 10.3390/ijerph18073528
115. Does Ozone Pollution Share the Same Formation Mechanisms in the Bay Areas of China? Y. Zeren et al. 10.1021/acs.est.2c05126
116. 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
117. Aerosol Absorption: Progress Towards Global and Regional Constraints B. Samset et al. 10.1007/s40641-018-0091-4
118. A review of the CAMx, CMAQ, WRF-Chem and NAQPMS models: Application, evaluation and uncertainty factors Z. Gao & X. Zhou 10.1016/j.envpol.2023.123183
119. 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
120. 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
121. Advancing the community health vulnerability index for wildland fire smoke exposure J. Jung et al. 10.1016/j.scitotenv.2023.167834
122. 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
123. Cross-comparison and evaluation of air pollution field estimation methods H. Yu et al. 10.1016/j.atmosenv.2018.01.045
124. Impact of Enhanced Ozone Deposition and Halogen Chemistry on Tropospheric Ozone over the Northern Hemisphere G. Sarwar et al. 10.1021/acs.est.5b01657
125. 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
126. An Episodic Assessment of Vehicle Emission Regulations on Saving Lives in California S. Samuelsen et al. 10.1021/acs.est.0c04060
127. Changing ozone sensitivity in the South Coast Air Basin during the COVID-19 period J. Schroeder et al. 10.5194/acp-22-12985-2022
128. 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
129. 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
130. 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
131. 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
132. 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
133. 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
134. 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
135. 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
136. 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
137. An improved representation of aerosol mixing state for air quality–weather interactions R. Stevens et al. 10.5194/acp-22-13527-2022
138. 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
139. 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
140. Crop Residue Burning Emissions and the Impact on Ambient Particulate Matters over South Korea K. Han et al. 10.3390/atmos13040559
141. An Integrated Agriculture, Atmosphere, and Hydrology Modeling System for Ecosystem Assessments L. Ran et al. 10.1029/2019MS001708
142. 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
143. 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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145. Investigating the response of China's surface ozone concentration to the future changes of multiple factors J. Yang et al. 10.5194/acp-25-2649-2025
146. 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
147. Predicting wildfire particulate matter and hypothetical re-emission of radiological Cs-137 contamination incidents K. Baker et al. 10.1016/j.scitotenv.2021.148872
148. 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
149. 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
150. Impacts of Atmospheric Nitrogen Deposition and Coastal Nitrogen Fluxes on Oxygen Concentrations in Chesapeake Bay F. Da et al. 10.1029/2018JC014009
151. Revealing the impacts of transboundary pollution on PM2.5-related deaths in China S. Liu et al. 10.1016/j.envint.2019.105323
152. 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
153. Water uptake and optical properties of mixed organic-inorganic particles L. Nandy et al. 10.1080/02786826.2021.1966378
154. Impact of wildfires on regional ozone and PM2.5: Considering the light absorption of Brown carbon M. Choi et al. 10.1016/j.atmosenv.2023.120196
155. 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
156. 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
157. Development and evaluation of a physics‐based windblown dust emission scheme implemented in the CMAQ modeling system H. Foroutan et al. 10.1002/2016MS000823
158. Evaluation of near surface ozone and particulate matter in air quality simulations driven by dynamically downscaled historical meteorological fields K. Seltzer et al. 10.1016/j.atmosenv.2016.05.010
159. 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
160. 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
161. Synergetic PM2.5 and O3 control strategy for the Yangtze River Delta, China Z. Dong et al. 10.1016/j.jes.2022.04.008
162. Mimicking atmospheric photochemical modeling with a deep neural network J. Xing et al. 10.1016/j.atmosres.2021.105919
163. From Home and Abroad─Atmospheric Age-Resolved Modeling Reveals the Origin and Evolution of Photochemical Ozone in South Korea M. Choi & Q. Ying 10.1021/acsestair.4c00029
164. Projections of Atmospheric Nitrogen Deposition to the Chesapeake Bay Watershed P. Campbell et al. 10.1029/2019JG005203
165. 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. 10.1029/2021JD035563
166. 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. 10.3390/f14061255
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