176 citations as recorded by crossref.

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2. 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
3. Description of the uEMEP_v5 downscaling approach for the EMEP MSC-W chemistry transport model B. Denby et al. 10.5194/gmd-13-6303-2020
4. Ensemble forecasts of air quality in eastern China – Part 1: Model description and implementation of the MarcoPolo–Panda prediction system, version 1 G. Brasseur et al. 10.5194/gmd-12-33-2019
5. Air Pollution Monitoring, and Modelling: An Overview F. Tahir Bahadur et al. 10.1080/15275922.2023.2297437
6. The importance of spatial resolutions of Community Multiscale Air Quality (CMAQ) models on health impact assessment X. Jiang & E. Yoo 10.1016/j.scitotenv.2018.01.228
7. 100 Years of Progress in Applied Meteorology. Part II: Applications that Address Growing Populations S. Haupt et al. 10.1175/AMSMONOGRAPHS-D-18-0007.1
8. Current State of Atmospheric Aerosol Thermodynamics and Mass Transfer Modeling: A Review K. Semeniuk & A. Dastoor 10.3390/atmos11020156
9. HERMESv3, a stand-alone multi-scale atmospheric emission modelling framework – Part 2: The bottom–up module M. Guevara et al. 10.5194/gmd-13-873-2020
10. Incorporation of volcanic SO<sub>2</sub> emissions in the Hemispheric CMAQ (H-CMAQ) version 5.2 modeling system and assessing their impacts on sulfate aerosol over the Northern Hemisphere S. Itahashi et al. 10.5194/gmd-14-5751-2021
11. Assessing PM2.5 model performance for the conterminous U.S. with comparison to model performance statistics from 2007-2015 J. Kelly et al. 10.1016/j.atmosenv.2019.116872
12. Unexpected air quality impacts from implementation of green infrastructure in urban environments: A Kansas City case study Y. Zhang et al. 10.1016/j.scitotenv.2020.140960
13. Furthering a partnership: Air quality modeling and improving public health S. Hunt et al. 10.1080/10962247.2021.1876180
14. Predicting hourly PM2.5 concentrations in wildfire-prone areas using a SpatioTemporal Transformer model M. Yu et al. 10.1016/j.scitotenv.2022.160446
15. Parametrization of Horizontal and Vertical Transfers for the Street-Network Model MUNICH Using the CFD Model Code_Saturne A. Maison et al. 10.3390/atmos13040527
16. Novel index to comprehensively evaluate air cleanliness: the Clean aIr Index (CII) T. Sato et al. 10.5194/gc-3-233-2020
17. 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
18. Understanding the inter-city causality and regional transport of atmospheric PM2.5 pollution in winter in the Harbin-Changchun megalopolis in China: A perspective from local and regional B. Li et al. 10.1016/j.envres.2023.115360
19. Incorporation of Remote PM2.5 Concentrations into the Downscaler Model for Spatially Fused Air Quality Surfaces B. Gantt et al. 10.3390/atmos11010103
20. Disparities in air quality downscaler model uncertainty across socioeconomic and demographic indicators in North Carolina S. Zhou et al. 10.1016/j.envres.2022.113418
21. Box Model Applications for Secondary Inorganic Aerosol: A Review Focused on Nitrate Formation S. Park 10.5572/KOSAE.2024.40.1.1
22. 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
23. An ensemble-based model of PM2.5 concentration across the contiguous United States with high spatiotemporal resolution Q. Di et al. 10.1016/j.envint.2019.104909
24. Review: Strategies for using satellite-based products in modeling PM2.5 and short-term pollution episodes M. Sorek-Hamer et al. 10.1016/j.envint.2020.106057
25. Changes in a Bottom-Up Vehicular Emissions Inventory and Its Impact on Air Pollution During COVID-19 Lockdown in São Paulo, Brazil S. Ibarra-Espinosa et al. 10.3389/frsc.2022.883112
26. Dynamic Evaluation of Photochemical Grid Model Response to Emission Changes in the South Coast Air Basin in California P. Karamchandani et al. 10.3390/atmos8080145
27. Short Path Wind-Field Distance-Based Lagrangian Trajectory Model for Enhancing Atmospheric Dispersion Prediction Accuracy S. R’Bigui et al. 10.1109/ACCESS.2023.3320563
28. Modeling stratospheric intrusion and trans-Pacific transport on tropospheric ozone using hemispheric CMAQ during April 2010 – Part 1: Model evaluation and air mass characterization for stratosphere–troposphere transport S. Itahashi et al. 10.5194/acp-20-3373-2020
29. Using land use variable information and a random forest approach to correct spatial mean bias in fused CMAQ fields for particulate and gas species N. Senthilkumar et al. 10.1016/j.atmosenv.2022.118982
30. Fire behaviour and smoke modelling: model improvement and measurement needs for next-generation smoke research and forecasting systems Y. Liu et al. 10.1071/WF18204
31. Simulation of SOA formation from the photooxidation of monoalkylbenzenes in the presence of aqueous aerosols containing electrolytes under various NO<sub><i>x</i></sub> levels C. Zhou et al. 10.5194/acp-19-5719-2019
32. Anthropogenic emission inventories in China: a review M. Li et al. 10.1093/nsr/nwx150
33. Vapor-Pressure Pathways Initiate but Hydrolysis Products Dominate the Aerosol Estimated from Organic Nitrates A. Zare et al. 10.1021/acsearthspacechem.9b00067
34. Modeling stratospheric intrusion and trans-Pacific transport on tropospheric ozone using hemispheric CMAQ during April 2010 – Part 2: Examination of emission impacts based on the higher-order decoupled direct method S. Itahashi et al. 10.5194/acp-20-3397-2020
35. Chemical Weather and Chemical Climate G. Brasseur & R. Kumar 10.1029/2021AV000399
36. 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
37. Improving the particle dry deposition scheme in the CMAQ photochemical modeling system Q. Shu et al. 10.1016/j.atmosenv.2022.119343
38. Mass Extinction Efficiency Approximation for Polydispersed Aerosol Using Harmonic Mean-Type Approximation J. Um et al. 10.3390/app10238637
39. Additional Benefits of Federal Air-Quality Rules: Model Estimates of Controllable Biogenic Secondary Organic Aerosol A. Carlton et al. 10.1021/acs.est.8b01869
40. Climate, air quality, and health benefits of a carbon fee-and-rebate bill in Massachusetts, USA J. Buonocore et al. 10.1088/1748-9326/aae62c
41. Persistent Heavy Winter Nitrate Pollution Driven by Increased Photochemical Oxidants in Northern China X. Fu et al. 10.1021/acs.est.9b07248
42. Multi-stage ensemble-learning-based model fusion for surface ozone simulations: A focus on CMIP6 models Z. Sun & A. Archibald 10.1016/j.ese.2021.100124
43. An Integrated Agriculture, Atmosphere, and Hydrology Modeling System for Ecosystem Assessments L. Ran et al. 10.1029/2019MS001708
44. Impacts of different characterizations of large-scale background on simulated regional-scale ozone over the continental United States C. Hogrefe et al. 10.5194/acp-18-3839-2018
45. Emulation of a Chemical Transport Model to Assess Air Quality under Future Emission Scenarios for the Southwest of Western Australia S. Vander Hoorn et al. 10.3390/atmos13122009
46. Multipollutant modeling of ozone, reactive nitrogen and HAPs across the continental US with CMAQ-CB6 D. Luecken et al. 10.1016/j.atmosenv.2018.11.060
47. Impact of Reductions in Emissions from Major Source Sectors on Fine Particulate Matter–Related Cardiovascular Mortality G. Peterson et al. 10.1289/EHP5692
48. 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
49. Nitrogen Oxides Emissions, Chemistry, Deposition, and Export Over the Northeast United States During the WINTER Aircraft Campaign L. Jaeglé et al. 10.1029/2018JD029133
50. HERMESv3, a stand-alone multi-scale atmospheric emission modelling framework – Part 1: global and regional module M. Guevara et al. 10.5194/gmd-12-1885-2019
51. Spatio-temporal learning in predicting ambient particulate matter concentration by multi-layer perceptron E. Chianese et al. 10.1016/j.ecoinf.2018.12.001
52. Mechanistic representation of soil nitrogen emissions in the Community Multiscale Air Quality (CMAQ) model v 5.1 Q. Rasool et al. 10.5194/gmd-12-849-2019
53. 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
54. 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
55. Striking impacts of biomass burning on PM2.5 concentrations in Northeast China through the emission inventory improvement L. Chen et al. 10.1016/j.envpol.2022.120835
56. Quantifying the effects of mixing state on aerosol optical properties Y. Yao et al. 10.5194/acp-22-9265-2022
57. 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
58. Short-Term total and wildfire fine particulate matter exposure and work loss in California Y. Meng et al. 10.1016/j.envint.2023.108045
59. Satellite mapping of PM<sub>2.5</sub> episodes in the wintertime San Joaquin Valley: a “static” model using column water vapor R. Chatfield et al. 10.5194/acp-20-4379-2020
60. Time Series Analysis and Forecasting of Air Pollutants Based on Prophet Forecasting Model in Jiangsu Province, China A. Hasnain et al. 10.3389/fenvs.2022.945628
61. Differences in the Estimation of Wildfire-Associated Air Pollution by Satellite Mapping of Smoke Plumes and Ground-Level Monitoring R. Fadadu et al. 10.3390/ijerph17218164
62. Using wildland fire smoke modeling data in gerontological health research (California, 2007–2018) P. Koman et al. 10.1016/j.scitotenv.2022.156403
63. High-resolution air quality simulations of ozone exceedance events during the Lake Michigan Ozone Study R. Pierce et al. 10.5194/acp-23-9613-2023
64. Global impact of landscape fire emissions on surface level PM2.5 concentrations, air quality exposure and population mortality G. Roberts & M. Wooster 10.1016/j.atmosenv.2021.118210
65. WRF-SMOKE-CMAQ modeling system for air quality evaluation in São Paulo megacity with a 2008 experimental campaign data T. de Almeida Albuquerque et al. 10.1007/s11356-018-3583-9
66. 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
67. Large Contribution of Nitrous Acid to Soil-Emitted Reactive Oxidized Nitrogen and Its Effect on Air Quality Y. Wang et al. 10.1021/acs.est.2c07793
68. Experimental and model estimates of the contributions from biogenic monoterpenes and sesquiterpenes to secondary organic aerosol in the southeastern United States L. Xu et al. 10.5194/acp-18-12613-2018
69. Comparing health benefit calculations for alternative energy futures K. Brown et al. 10.1007/s11869-020-00840-8
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
71. Interpretation of the effects of anthropogenic chlorine on nitrate formation over northeast Asia during KORUS-AQ 2016 H. Jo et al. 10.1016/j.scitotenv.2023.164920
72. Development of Three‐Dimensional Variational Data Assimilation Method of Aerosol for the CMAQ Model: An Application for PM2.5 and PM10 Forecasts in the Sichuan Basin Z. Zhang et al. 10.1029/2020EA001614
73. The Community Multiscale Air Quality (CMAQ) model versions 5.3 and 5.3.1: system updates and evaluation K. Appel et al. 10.5194/gmd-14-2867-2021
74. Influence of uncertainties in burned area estimates on modeled wildland fire PM2.5 and ozone pollution in the contiguous U.S. S. Koplitz et al. 10.1016/j.atmosenv.2018.08.020
75. Establishing the Suitability of the Model for Prediction Across Scales for Global Retrospective Air Quality Modeling R. Gilliam et al. 10.1029/2020JD033588
76. Constraining chemical transport PM<sub>2.5</sub> modeling outputs using surface monitor measurements and satellite retrievals: application over the San Joaquin Valley M. Friberg et al. 10.5194/acp-18-12891-2018
77. 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
78. Shipborne nutrient dynamics and impact on the eutrophication in the Baltic Sea U. Raudsepp et al. 10.1016/j.scitotenv.2019.03.264
79. Using the US National Air Toxics Assessment to benchmark the USEtox inhalation-mediated carcinogenic impacts of air emissions K. Huang et al. 10.1007/s11367-021-01918-w
80. Measured and modelled ozone photochemical production in the Baltimore-Washington airshed L. Hembeck et al. 10.1016/j.aeaoa.2019.100017
81. Integrating multimedia models to assess nitrogen losses from the Mississippi River basin to the Gulf of Mexico Y. Yuan et al. 10.5194/bg-15-7059-2018
82. Evaluation of real-time PM2.5 forecasts with the WRF-CMAQ modeling system and weather-pattern-dependent bias-adjusted PM2.5 forecasts in Taiwan F. Cheng et al. 10.1016/j.atmosenv.2020.117909
83. Potential impact of shipping on air pollution in the Mediterranean region – a multimodel evaluation: comparison of photooxidants NO2 and O3 L. Fink et al. 10.5194/acp-23-1825-2023
84. Impacts of household sources on air pollution at village and regional scales in India B. Rooney et al. 10.5194/acp-19-7719-2019
85. Numerical study of the effects of initial conditions and emissions on PM<sub>2.5</sub> concentration simulations with CAMx v6.1: a Xi'an case study H. Xiao et al. 10.5194/gmd-14-223-2021
86. Unraveling the influence of biogenic volatile organic compounds and their constituents on ozone and SOA formation within the Yellow River Basin, China J. Yong et al. 10.1016/j.chemosphere.2024.141549
87. Critical Review of Eutrophication Models for Life Cycle Assessment B. Morelli et al. 10.1021/acs.est.8b00967
88. Simulating the impact of gas-wall partitioning on SOA formation using the explicit gas mechanism integrated with aqueous reactions containing electrolytes S. Han & M. Jang 10.1016/j.scitotenv.2020.141360
89. A multimodel evaluation of the potential impact of shipping on particle species in the Mediterranean Sea L. Fink et al. 10.5194/acp-23-10163-2023
90. Improving estimates of PM2.5 concentration and chemical composition by application of High Spectral Resolution Lidar (HSRL) and Creating Aerosol Types from chemistry (CATCH) algorithm N. Meskhidze et al. 10.1016/j.atmosenv.2021.118250
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93. 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
94. Maternal exposure to outdoor air pollution and congenital limb deficiencies in the National Birth Defects Prevention Study G. Choi et al. 10.1016/j.envres.2019.108716
95. Hourly biomass burning emissions product from blended geostationary and polar-orbiting satellites for air quality forecasting applications F. Li et al. 10.1016/j.rse.2022.113237
96. Modeled Full‐Flight Aircraft Emissions Impacts on Air Quality and Their Sensitivity to Grid Resolution L. Vennam et al. 10.1002/2017JD026598
97. The Weather Conditions for Desired Smoke Plumes at a FASMEE Burn Site Y. Liu et al. 10.3390/atmos9070259
98. A comparison of smoke modelling tools used to mitigate air quality impacts from prescribed burning M. Johnson & F. Garcia-Menendez 10.1071/WF22172
99. An urban large-eddy-simulation-based dispersion model for marginal grid resolutions: CAIRDIO v1.0 M. Weger et al. 10.5194/gmd-14-1469-2021
100. Air pollution and health impacts of oil & gas production in the United States J. Buonocore et al. 10.1088/2752-5309/acc886
101. CMAQ-CNN: A new-generation of post-processing techniques for chemical transport models using deep neural networks A. Sayeed et al. 10.1016/j.atmosenv.2022.118961
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104. A Call for an Aloft Air Quality Monitoring Network: Need, Feasibility, and Potential Value R. Mathur et al. 10.1021/acs.est.8b02496
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107. Adding four-dimensional data assimilation by analysis nudging to the Model for Prediction Across Scales – Atmosphere (version 4.0) O. Bullock Jr. et al. 10.5194/gmd-11-2897-2018
108. Evaluation of 15 years of modeled atmospheric oxidized nitrogen compounds across the contiguous United States C. Toro et al. 10.1525/elementa.2020.00158
109. Novel Method for Ozone Isopleth Construction and Diagnosis for the Ozone Control Strategy of Chinese Cities H. Shen et al. 10.1021/acs.est.1c01567
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112. Advanced error diagnostics of the CMAQ and Chimere modelling systems within the AQMEII3 model evaluation framework E. Solazzo et al. 10.5194/acp-17-10435-2017
113. 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
114. Reflecting on progress since the 2005 NARSTO emissions inventory report M. Day et al. 10.1080/10962247.2019.1629363
115. Additive dynamic models for correcting numerical model outputs Y. Chen et al. 10.1016/j.csda.2023.107799
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118. Predicting Hourly Pm2.5 Concentrations in Wildfire-Prone Areas Using a Spatiotemporal Transformer Model M. Yu et al. 10.2139/ssrn.4197034
119. Is air pollution exposure linked to household income? Spatial analysis of Community Multiscale Air Quality Model results for Madrid R. Hewitt et al. 10.1016/j.heliyon.2024.e27117
120. Impact of biogenic emissions on early summer ozone and fine particulate matter exposure in the Seoul Metropolitan Area of Korea H. Kim et al. 10.1007/s11869-018-0602-4
121. Effects of isoprene on the ozonolysis of Δ3-carene and β-caryophyllene: Mechanisms of secondary organic aerosol formation and cross-dimerization Z. Zhang et al. 10.1016/j.jes.2023.11.024
122. 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
123. Systematic bias in evaluating chemical transport models with maximum daily 8 h average (MDA8) surface ozone for air quality applications: a case study with GEOS-Chem v9.02 K. Travis & D. Jacob 10.5194/gmd-12-3641-2019
124. PM2.5 concentrations forecasting in Beijing through deep learning with different inputs, model structures and forecast time J. Yang et al. 10.1016/j.apr.2021.101168
125. Non-linear effects of secondary organic aerosol formation and properties in multi-precursor systems M. Takeuchi et al. 10.1038/s41467-022-35546-1
126. Characterizing CO and NOy Sources and Relative Ambient Ratios in the Baltimore Area Using Ambient Measurements and Source Attribution Modeling H. Simon et al. 10.1002/2017JD027688
127. Simulating lightning NO production in CMAQv5.2: performance evaluations D. Kang et al. 10.5194/gmd-12-4409-2019
128. Reconciling the bottom-up methodology and ground measurement constraints to improve the city-scale NMVOCs emission inventory: A case study of Nanjing, China R. Wu et al. 10.1016/j.scitotenv.2021.152447
129. A review of machine learning for modeling air quality: Overlooked but important issues D. Tang et al. 10.1016/j.atmosres.2024.107261
130. Research on Prediction Model of Particulate Matter in Dalian Street Canyon X. Song et al. 10.3390/atmos15040397
131. Source profiles and emission factors of organic and inorganic species in fine particles emitted from the ultra-low emission power plant and typical industries X. Zeng et al. 10.1016/j.scitotenv.2021.147966
132. Modeling the Formation of Organic Compounds across Full Volatility Ranges and Their Contribution to Nanoparticle Growth in a Polluted Atmosphere Z. Li et al. 10.1021/acs.est.3c06708
133. Development of a Prediction Model for Daily PM2.5 in Republic of Korea by Using an Artificial Neutral Network J. Huh et al. 10.3390/app13063575
134. Extending the Community Multiscale Air Quality (CMAQ) modeling system to hemispheric scales: overview of process considerations and initial applications R. Mathur et al. 10.5194/acp-17-12449-2017
135. Improving the simulation of convective dust storms in regional‐to‐global models H. Foroutan & J. Pleim 10.1002/2017MS000953
136. Development of the WRF-CO2 4D-Var assimilation system v1.0 T. Zheng et al. 10.5194/gmd-11-1725-2018
137. Enhanced secondary organic aerosol formation from the photo-oxidation of mixed anthropogenic volatile organic compounds J. Li et al. 10.5194/acp-21-7773-2021
138. Method for Experimental Data Processing Concerning Chemical Reaction Rates in Low-Atomic Gases A. Belov & N. Kalitkin 10.1134/S0965542520070040
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140. Precursors and formation of secondary organic aerosols from wildfires in the Euro-Mediterranean region M. Majdi et al. 10.5194/acp-19-5543-2019
141. 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
142. Unpacking the factors contributing to changes in PM2.5-associated mortality in China from 2013 to 2019 H. Zheng et al. 10.1016/j.envint.2024.108470
143. Predicting secondary organic aerosol phase state and viscosity and its effect on multiphase chemistry in a regional-scale air quality model R. Schmedding et al. 10.5194/acp-20-8201-2020
144. The significant contribution of HONO to secondary pollutants during a severe winter pollution event in southern China X. Fu et al. 10.5194/acp-19-1-2019
145. Model Performance Differences in Sulfate Aerosol in Winter over Japan Based on Regional Chemical Transport Models of CMAQ and CAMx S. Itahashi et al. 10.3390/atmos9120488
146. Human Settlement Quality Evaluation Based on Air Quality in Major Cities of China X. Li et al. 10.1155/2018/4914760
147. Regional Climate Effects of Biomass Burning and Dust in East Asia: Evidence From Modeling and Observation X. Dong et al. 10.1029/2019GL083894
148. Prediction of secondary organic aerosol from the multiphase reaction of gasoline vapor by using volatility–reactivity base lumping S. Han & M. Jang 10.5194/acp-22-625-2022
149. Sensitivity of Ambient Atmospheric Formaldehyde and Ozone to Precursor Species and Source Types Across the United States D. Luecken et al. 10.1021/acs.est.7b05509
150. 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
151. Mapping Modeled Exposure of Wildland Fire Smoke for Human Health Studies in California P. Koman et al. 10.3390/atmos10060308
152. Decoupling in the vertical shape of HCHO during a sea breeze event: The effect on trace gas satellite retrievals and column-to-surface translation A. Souri et al. 10.1016/j.atmosenv.2023.119929
153. Spatial variation of modelled total, dry and wet nitrogen deposition to forests at global scale D. Schwede et al. 10.1016/j.envpol.2018.09.084
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155. Integrated Sustainable Management of Petrochemical Industrial Air Pollution J. Keawboonchu et al. 10.3390/ijerph20032280
156. Measurement and Modeling of Ship-Related Ultrafine Particles and Secondary Organic Aerosols in a Mediterranean Port City M. Karl et al. 10.3390/toxics11090771
157. High-resolution modeling of gaseous air pollutants over Tehran and validation with surface and satellite data N. Shahrokhishahraki et al. 10.1016/j.atmosenv.2021.118881
158. Contribution of Satellite-Derived Aerosol Optical Depth PM2.5 Bayesian Concentration Surfaces to Respiratory-Cardiovascular Chronic Disease Hospitalizations in Baltimore, Maryland J. Braggio et al. 10.3390/atmos11020209
159. Quantifying the contribution of shipping NO<sub><i>x</i></sub> emissions to the marine nitrogen inventory – a case study for the western Baltic Sea D. Neumann et al. 10.5194/os-16-115-2020
160. Year-round modeling of sulfate aerosol over Asia through updates of aqueous-phase oxidation and gas-phase reactions with stabilized Criegee intermediates S. Itahashi et al. 10.1016/j.aeaoa.2021.100123
161. Semivolatile POA and parameterized total combustion SOA in CMAQv5.2: impacts on source strength and partitioning B. Murphy et al. 10.5194/acp-17-11107-2017
162. Fate of Oxygenated Volatile Organic Compounds in the Yangtze River Delta Region: Source Contributions and Impacts on the Atmospheric Oxidation Capacity J. Li et al. 10.1021/acs.est.2c00038
163. 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
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