365 citations as recorded by crossref.

1. Impact of biogenic emissions on ozone and fine particles over Europe: Comparing effects of temperature increase and a potential anthropogenic NOx emissions abatement strategy E. Tagaris et al. 10.1016/j.atmosenv.2014.08.056
2. A multiphase CMAQ version 5.0 adjoint S. Zhao et al. 10.5194/gmd-13-2925-2020
3. Assessing the impact of anthropogenic pollution on isoprene-derived secondary organic aerosol formation in PM2.5 collected from the Birmingham, Alabama, ground site during the 2013 Southern Oxidant and Aerosol Study W. Rattanavaraha et al. 10.5194/acp-16-4897-2016
4. Identifying precursors and aqueous organic aerosol formation pathways during the SOAS campaign N. Sareen et al. 10.5194/acp-16-14409-2016
5. 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
6. Synergistic aircraft and ground observations of transported wildfire smoke and its impact on air quality in New York City during the summer 2018 LISTOS campaign Y. Wu et al. 10.1016/j.scitotenv.2021.145030
7. Multi-model intercomparisons of air quality simulations for the KORUS-AQ campaign R. Park et al. 10.1525/elementa.2021.00139
8. Assessment of dicarbonyl contributions to secondary organic aerosols over China using RAMS-CMAQ J. Li et al. 10.5194/acp-19-6481-2019
9. WRF-CMAQ two-way coupled system with aerosol feedback: software development and preliminary results D. Wong et al. 10.5194/gmd-5-299-2012
10. Impact of Reductions in Emissions from Major Source Sectors on Fine Particulate Matter–Related Cardiovascular Mortality G. Peterson et al. 10.1289/EHP5692
11. 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
12. Acute and recent air pollution exposure and cardiovascular events at labour and delivery T. Männistö et al. 10.1136/heartjnl-2014-307366
13. Description and evaluation of the Multiscale Online Nonhydrostatic AtmospheRe CHemistry model (NMMB-MONARCH) version 1.0: gas-phase chemistry at global scale A. Badia et al. 10.5194/gmd-10-609-2017
14. Quantifying the Impact of Biomass Burning Emissions on Major Inorganic Aerosols and Their Precursors in the U.S. A. Souri et al. 10.1002/2017JD026788
15. The importance of transport to ozone pollution in the U.S. Mid-Atlantic M. Moghani et al. 10.1016/j.atmosenv.2018.08.005
16. 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
17. Simulated air quality and pollutant budgets over Europe in 2008 U. Im et al. 10.1016/j.scitotenv.2013.09.090
18. Half‐Century Ammonia Emissions From Agricultural Systems in Southern Asia: Magnitude, Spatiotemporal Patterns, and Implications for Human Health R. Xu et al. 10.1002/2017GH000098
19. A statistical comparison of active and passive ammonia measurements collected at Clean Air Status and Trends Network (CASTNET) sites M. Puchalski et al. 10.1039/C4EM00531G
20. Observation and modeling of the evolution of Texas power plant plumes W. Zhou et al. 10.5194/acp-12-455-2012
21. Multi-model study of mercury dispersion in the atmosphere: vertical and interhemispheric distribution of mercury species J. Bieser et al. 10.5194/acp-17-6925-2017
22. A novel hybrid approach for estimating total deposition in the United States D. Schwede & G. Lear 10.1016/j.atmosenv.2014.04.008
23. Comparison of surface ozone simulation among selected regional models in MICS-Asia III – effects of chemistry and vertical transport for the causes of difference H. Akimoto et al. 10.5194/acp-19-603-2019
24. Sensitivity of air quality to potential future climate change and emissions in the United States and major cities M. Trail et al. 10.1016/j.atmosenv.2014.05.079
25. Improved meteorology and ozone air quality simulations using MODIS land surface parameters in the Yangtze River Delta urban cluster, China M. Li et al. 10.1002/2016JD026182
26. Integrating phase and composition of secondary organic aerosol from the ozonolysis of α-pinene C. Kidd et al. 10.1073/pnas.1322558111
27. Investigation of effects of varying model inputs on mercury deposition estimates in the Southwest US T. Myers et al. 10.5194/acp-13-997-2013
28. Examining the effects of anthropogenic emissions on isoprene-derived secondary organic aerosol formation during the 2013 Southern Oxidant and Aerosol Study (SOAS) at the Look Rock, Tennessee ground site S. Budisulistiorini et al. 10.5194/acp-15-8871-2015
29. Predictions of U.K. Regulated Power Station Contributions to Regional Air Pollution and Deposition: A Model Comparison Exercise C. Chemel et al. 10.1080/10473289.2011.609756
30. Effect of the Standard Nomenclature for Air Pollution (SNAP) Categories on Air Quality over Europe E. Tagaris et al. 10.3390/atmos6081119
31. Source apportionment of PM2.5 in Shanghai based on hourly organic molecular markers and other source tracers R. Li et al. 10.5194/acp-20-12047-2020
32. Examination of the Community Multiscale Air Quality (CMAQ) model performance over the North American and European domains K. Appel et al. 10.1016/j.atmosenv.2011.11.016
33. Modeling the Role of Alkanes, Polycyclic Aromatic Hydrocarbons, and Their Oligomers in Secondary Organic Aerosol Formation H. Pye & G. Pouliot 10.1021/es300409w
34. RETRACTED ARTICLE: Rainfall trend based on computer image system and English translation of tourist attractions in coastal cities X. Zou 10.1007/s12517-021-07357-z
35. A deep learning model integrating a wind direction-based dynamic graph network for ozone prediction S. Wang et al. 10.1016/j.scitotenv.2024.174229
36. Changes in apparent temperature and PM2.5 around the Beijing–Tianjin megalopolis under greenhouse gas and stratospheric aerosol intervention scenarios J. Wang et al. 10.5194/esd-14-989-2023
37. Modeling variability in air pollution-related health damages from individual airport emissions S. Penn et al. 10.1016/j.envres.2017.04.031
38. Future year ozone source attribution modeling study using CMAQ-ISAM S. Collet et al. 10.1080/10962247.2018.1496954
39. Full-coverage spatiotemporal estimation of surface ozone over China based on a high-efficiency deep learning model X. Mu et al. 10.1016/j.jag.2023.103284
40. Organosulfates in cloud water above the Ozarks' isoprene source region K. Pratt et al. 10.1016/j.atmosenv.2013.05.011
41. Development of a high-performance machine learning model to predict ground ozone pollution in typical cities of China Y. Cheng et al. 10.1016/j.jenvman.2021.113670
42. Impacts of additional HONO sources on O₃ and PM_2.5 chemical coupling and control strategies in the Beijing–Tianjin–Hebei region of China Y. Li et al. 10.3402/tellusb.v67.23930
43. 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
44. Recommendations on statistics and benchmarks to assess photochemical model performance C. Emery et al. 10.1080/10962247.2016.1265027
45. Understanding the impact of recent advances in isoprene photooxidation on simulations of regional air quality Y. Xie et al. 10.5194/acp-13-8439-2013
46. Source regions contributing to excess reactive nitrogen deposition in the Greater Yellowstone Area (GYA) of the United States R. Zhang et al. 10.5194/acp-18-12991-2018
47. Inorganic and black carbon aerosols in the Los Angeles Basin during CalNex J. Ensberg et al. 10.1029/2012JD018136
48. Development of the RAQM2 aerosol chemical transport model and predictions of the Northeast Asian aerosol mass, size, chemistry, and mixing type M. Kajino et al. 10.5194/acp-12-11833-2012
49. An Improved Deep Learning Approach Considering Spatiotemporal Heterogeneity for PM2.5 Prediction: A Case Study of Xinjiang, China Y. Wu et al. 10.3390/atmos15040460
50. 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
51. Tempo-spatial patterns of PM2.5 measured using a portable particulate monitor around a mine complex in Canada’s Arctic W. Chen et al. 10.1007/s10661-021-09376-5
52. Considering future regional air quality impacts of the transportation sector M. Kinnon et al. 10.1016/j.enpol.2018.09.011
53. Using the Multicomponent Aerosol FORmation Model (MAFOR) to Determine Improved VOC Emission Factors in Ship Plumes L. Fink et al. 10.3390/toxics12060432
54. Modeling nitrous acid and its impact on ozone and hydroxyl radical during the Texas Air Quality Study 2006 B. Czader et al. 10.5194/acp-12-6939-2012
55. 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
56. Application of a Fusion Method for Gas and Particle Air Pollutants between Observational Data and Chemical Transport Model Simulations Over the Contiguous United States for 2005–2014 N. Senthilkumar et al. 10.3390/ijerph16183314
57. 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
58. Source–receptor relationships of nitrate in Northeast Asia and influence of sea salt on the long-range transport of nitrate M. Kajino et al. 10.1016/j.atmosenv.2013.06.024
59. 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
60. 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
61. Modeling past and future spatiotemporal distributions of airborne allergenic pollen across the contiguous United States X. Ren et al. 10.3389/falgy.2022.959594
62. Epoxide as a precursor to secondary organic aerosol formation from isoprene photooxidation in the presence of nitrogen oxides Y. Lin et al. 10.1073/pnas.1221150110
63. Regional Air Quality Model Application of the Aqueous-Phase Photo Reduction of Atmospheric Oxidized Mercury by Dicarboxylic Acids J. Bash et al. 10.3390/atmos5010001
64. The urban dispersion model EPISODE v10.0 – Part 1: An Eulerian and sub-grid-scale air quality model and its application in Nordic winter conditions P. Hamer et al. 10.5194/gmd-13-4323-2020
65. Persistence of initial conditions in continental scale air quality simulations C. Hogrefe et al. 10.1016/j.atmosenv.2017.04.009
66. Physical and chemical processes of wintertime secondary nitrate aerosol formation Q. Ying 10.1007/s11783-011-0343-1
67. Determination of atmospheric organosulfates using HILIC chromatography with MS detection A. Hettiyadura et al. 10.5194/amt-8-2347-2015
68. Modeling the effect of relative humidity on nitrous acid formation in the Houston area L. Diao et al. 10.1016/j.atmosenv.2016.01.053
69. Health Benefits in California of Strengthening the Fine Particulate Matter Standards S. Zhu et al. 10.1021/acs.est.1c03177
70. Extreme value analysis for evaluating ozone control strategies B. Reich et al. 10.1214/13-AOAS628
71. Assessing the impact of fine particulate matter (PM 2.5 ) on respiratory-cardiovascular chronic diseases in the New York City Metropolitan area using Hierarchical Bayesian Model estimates S. Weber et al. 10.1016/j.envres.2016.07.012
72. Numerical air quality forecasting over eastern China: An operational application of WRF-Chem G. Zhou et al. 10.1016/j.atmosenv.2017.01.020
73. Regional scale photochemical model evaluation of total mercury wet deposition and speciated ambient mercury K. Baker & J. Bash 10.1016/j.atmosenv.2011.12.006
74. 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
75. A new approach for optimizing air pollutant emissions using Newtonian relaxation and the coupled WRF-CAMx model: a case study in Xuzhou city, China Y. Li et al. 10.1007/s12517-020-06002-5
76. Accurate and efficient prediction of atmospheric PM1, PM2.5, PM10, and O3 concentrations using a customized software package based on a machine-learning algorithm L. Xie et al. 10.1016/j.chemosphere.2024.143752
77. 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
78. Impacts of Aerosol-Radiation Interactions on the Wintertime Particulate Pollution under Different Synoptic Patterns in the Guanzhong Basin, China N. Bei et al. 10.1007/s00376-020-0329-7
79. A Method for Estimating Urban Background Concentrations in Support of Hybrid Air Pollution Modeling for Environmental Health Studies S. Arunachalam et al. 10.3390/ijerph111010518
80. Summertime aerosol chemical composition in the Eastern Mediterranean and its sensitivity to temperature U. Im et al. 10.1016/j.atmosenv.2011.12.044
81. Evaluation of the effect of regional joint-control measures on changing photochemical transformation: a comprehensive study of the optimization scenario analysis L. Li et al. 10.5194/acp-19-9037-2019
82. Method for Fusing Observational Data and Chemical Transport Model Simulations To Estimate Spatiotemporally Resolved Ambient Air Pollution M. Friberg et al. 10.1021/acs.est.5b05134
83. A photosynthesis‐based two‐leaf canopy stomatal conductance model for meteorology and air quality modeling with WRF/CMAQ PX LSM L. Ran et al. 10.1002/2016JD025583
84. The influence of anthropogenic emissions on air quality in Beijing-Tianjin-Hebei of China around 2050 under the future climate scenario D. Li et al. 10.1016/j.jclepro.2023.135927
85. The impact of temperature changes on summer time ozone and its precursors in the Eastern Mediterranean U. Im et al. 10.5194/acp-11-3847-2011
86. Advances in understanding, models and parameterizations of biosphere-atmosphere ammonia exchange C. Flechard et al. 10.5194/bg-10-5183-2013
87. 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
88. Emission reductions and urban ozone responses under more stringent US standards N. Downey et al. 10.1016/j.atmosenv.2014.11.018
89. Sensitivity of the Weather Research and Forecast/Community Multiscale Air Quality modeling system to MODIS LAI, FPAR, and albedo L. Ran et al. 10.1002/2015JD023424
90. Air quality over Europe: modelling gaseous and particulate pollutants E. Tagaris et al. 10.5194/acp-13-9661-2013
91. Source apportionment of fine particulate matter in Houston, Texas: insights to secondary organic aerosols I. Al-Naiema et al. 10.5194/acp-18-15601-2018
92. Diagnostic Air Quality Model Evaluation of Source-Specific Primary and Secondary Fine Particulate Carbon S. Napelenok et al. 10.1021/es403304w
93. Evaluation of NAQFC model performance in forecasting surface ozone during the 2011 DISCOVER-AQ campaign G. Garner et al. 10.1007/s10874-013-9251-z
94. Air quality modeling for accountability research: Operational, dynamic, and diagnostic evaluation L. Henneman et al. 10.1016/j.atmosenv.2017.07.049
95. A multi-resolution assessment of the Community Multiscale Air Quality (CMAQ) model v4.7 wet deposition estimates for 2002–2006 K. Appel et al. 10.5194/gmd-4-357-2011
96. Seasonal modeling of PM2.5 in California's San Joaquin Valley J. Chen et al. 10.1016/j.atmosenv.2014.04.030
97. COVID-19-Induced Lockdowns Indicate the Short-Term Control Effect of Air Pollutant Emission in 174 Cities in China D. Lu et al. 10.1021/acs.est.0c07170
98. Detection of Strong NOX Emissions from Fine-scale Reconstruction of the OMI Tropospheric NO2 Product J. Lee et al. 10.3390/rs11161861
99. The effects of global change upon United States air quality R. Gonzalez-Abraham et al. 10.5194/acp-15-12645-2015
100. Modeling polycyclic aromatic hydrocarbons (PAHs) concentrations from wildfires in California S. Zhu et al. 10.1016/j.agrformet.2024.110043
101. 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
102. Contribution of AOD-PM2.5 surfaces to respiratory-cardiovascular hospital events in urban and rural areas in Baltimore, Maryland, USA: New analytical method correctly identified true positive cases and true negative controls J. Braggio et al. 10.1016/j.atmosenv.2021.118629
103. Exposure to Ambient Air Pollution and Premature Rupture of Membranes M. Wallace et al. 10.1093/aje/kwv284
104. 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
105. Emission estimates of HCFCs and HFCs in California from the 2010 CalNex study B. Barletta et al. 10.1002/jgrd.50209
106. 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
107. Spatiotemporal PM2.5 forecasting via dynamic geographical Graph Neural Network Q. Zhao et al. 10.1016/j.envsoft.2025.106351
108. Comparison of PM2.5 Chemical Components over East Asia Simulated by the WRF-Chem and WRF/CMAQ Models: On the Models’ Prediction Inconsistency M. Choi et al. 10.3390/atmos10100618
109. Toward Emulating an Explicit Organic Chemistry Mechanism With Random Forest Models C. Mouchel‐Vallon & A. Hodzic 10.1029/2022JD038227
110. A mass- and energy-conserving framework for using machine learning to speed computations: a photochemistry example P. Sturm & A. Wexler 10.5194/gmd-13-4435-2020
111. Intra-continental wildfire smoke transport and impact on local air quality observed by ground-based and satellite remote sensing in New York City Y. Wu et al. 10.1016/j.atmosenv.2018.06.006
112. Time series prediction of aerosol optical depth across the northern Indian region: integrating PSO-optimized SARIMA-SVR based on MODIS data N. Panicker & J. Valarmathi 10.1007/s11600-024-01472-7
113. Source apportionment of secondary organic aerosol in China using a regional source-oriented chemical transport model and two emission inventories P. Wang et al. 10.1016/j.envpol.2017.10.122
114. An investigation into atmospheric nitrous acid (HONO) processes in South Korea K. Kim et al. 10.5194/acp-24-12575-2024
115. The Effect of Elevated Ozone Concentrations with Varying Shading on Dry Matter Loss in a Winter Wheat-Producing Region in China J. Xu et al. 10.1371/journal.pone.0145446
116. Simulating the Degree of Oxidation in Atmospheric Organic Particles H. Simon & P. Bhave 10.1021/es202361w
117. Public health impacts of secondary particulate formation from aromatic hydrocarbons in gasoline K. von Stackelberg et al. 10.1186/1476-069X-12-19
118. Impacts of Potential CO2-Reduction Policies on Air Quality in the United States M. Trail et al. 10.1021/acs.est.5b00473
119. Twelve-month, 12 km resolution North American WRF-Chem v3.4 air quality simulation: performance evaluation C. Tessum et al. 10.5194/gmd-8-957-2015
120. Real-time numerical source apportionment of PM2.5 concentrations over the Yangtze River Delta region, China G. Zhou et al. 10.1016/j.atmosenv.2020.118104
121. Evaluation of a regional air-quality model with bidirectional NH3 exchange coupled to an agroecosystem model J. Bash et al. 10.5194/bg-10-1635-2013
122. Maternal ambient air pollution exposure preconception and during early gestation and offspring congenital orofacial defects Y. Zhu et al. 10.1016/j.envres.2015.06.002
123. A Retrospective Comparison of Model-Based Forecasted PM2.5Concentrations with Measurements P. Doraiswamy et al. 10.3155/1047-3289.60.11.1293
124. Quantifying anthropogenic emission of iron in marine aerosol in the Northwest Pacific with shipborne online measurements T. Zhang et al. 10.1016/j.scitotenv.2023.169158
125. On radiative forcing of sulphate aerosol produced from ion-promoted nucleation mechanisms in an atmospheric global model H. Fatima et al. 10.1007/s00703-011-0138-8
126. 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
127. Heterogeneous Atmospheric Chemistry, Ambient Measurements, and Model Calculations of N2O5: A Review W. Chang et al. 10.1080/02786826.2010.551672
128. NO2 and HONO concentrations measured with filter pack sampling and high HONO/NO2 ratio in Ho Chi Minh city, Vietnam K. Toriyama et al. 10.1016/j.atmosenv.2019.116865
129. Nonequilibrium atmospheric secondary organic aerosol formation and growth V. Perraud et al. 10.1073/pnas.1119909109
130. 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
131. Compilation of a GIS based high spatially and temporally resolved emission inventory for the greater Istanbul area K. Markakis et al. 10.5094/APR.2012.011
132. Urban air quality simulation in a high-rise building area using a CFD model coupled with mesoscale meteorological and chemistry-transport models K. Kwak et al. 10.1016/j.atmosenv.2014.10.059
133. The impact of shipping emissions on air pollution in the greater North Sea region – Part 2: Scenarios for 2030 V. Matthias et al. 10.5194/acp-16-759-2016
134. Is the efficacy of satellite-based inversion of SO2 emission model dependent? N. Li et al. 10.1088/1748-9326/abe829
135. Effects of chemical mechanism and meteorological factors on the concentration of atmospheric pollutants in the megacity Beijing, China Y. Li et al. 10.1016/j.atmosenv.2024.120393
136. Application of watershed deposition tool to estimate from CMAQ simulations the atmospheric deposition of nitrogen to Tampa Bay and its watershed N. Poor et al. 10.1080/10962247.2012.739109
137. Observation-based constraints on modeled aerosol surface area: implications for heterogeneous chemistry R. Bergin et al. 10.5194/acp-22-15449-2022
138. Influence of Tropospheric Ozone Control on Exposure to Ultraviolet Radiation at the Surface S. Madronich et al. 10.1021/es200701q
139. Simulating emission and chemical evolution of coarse sea-salt particles in the Community Multiscale Air Quality (CMAQ) model J. Kelly et al. 10.5194/gmd-3-257-2010
140. 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
141. Bayesian Analysis of a Reduced-Form Air Quality Model K. Foley et al. 10.1021/es300666e
142. Response of aerosol composition to the clean air actions in Baoji city of Fen-Wei River Basin Y. Wang et al. 10.1016/j.envres.2022.112936
143. Ambient Ozone Control in a Photochemically Active Region: Short-Term Despiking or Long-Term Attainment? J. Ou et al. 10.1021/acs.est.6b00345
144. Deep learning coupled model based on TCN-LSTM for particulate matter concentration prediction Y. Ren et al. 10.1016/j.apr.2023.101703
145. Evaluation of MEGAN predicted biogenic isoprene emissions at urban locations in Southeast Texas S. Kota et al. 10.1016/j.atmosenv.2015.03.027
146. 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
147. Source apportionment of PM2.5 during haze episodes in Shanghai by the PMF model with PAHs X. Feng et al. 10.1016/j.jclepro.2021.129850
148. Benefits of near-zero freight: The air quality and health impacts of low-NOx compressed natural gas trucks M. Mac Kinnon et al. 10.1080/10962247.2021.1957727
149. PM2.5 forecasting under distribution shift: A graph learning approach Y. Liu et al. 10.1016/j.aiopen.2023.11.001
150. Impact of sea-salt emissions on the model performance and aerosol chemical composition and deposition in the East Mediterranean coastal regions U. Im 10.1016/j.atmosenv.2013.04.034
151. Multiple perspectives for modeling regional PM2.5 transport across cities in the Beijing–Tianjin–Hebei region during haze episodes H. Zhang et al. 10.1016/j.atmosenv.2019.05.031
152. Source apportionment of surface ozone in the Yangtze River Delta, China in the summer of 2013 L. Li et al. 10.1016/j.atmosenv.2016.08.076
153. Source apportionment modelling of PM2.5 using CMAQ-ISAM over a tropical coastal-urban area Y. Kitagawa et al. 10.1016/j.apr.2021.101250
154. Application of satellite data in a regional model to improve long-term ozone simulations P. Pongprueksa 10.1007/s10874-013-9270-9
155. California end-use electrification impacts on carbon neutrality and clean air S. Ebrahimi et al. 10.1016/j.apenergy.2018.01.050
156. Cross-comparison and evaluation of air pollution field estimation methods H. Yu et al. 10.1016/j.atmosenv.2018.01.045
157. Recommendations on benchmarks for photochemical air quality model applications in China — NO2, SO2, CO and PM10 H. Zhai et al. 10.1016/j.atmosenv.2023.120290
158. Enhanced summertime background ozone by anthropogenic emissions – Implications on ozone control policy and health risk assessment M. Kang et al. 10.1016/j.atmosenv.2023.120116
159. Synergistic Association of House Endotoxin Exposure and Ambient Air Pollution with Asthma Outcomes A. Mendy et al. 10.1164/rccm.201809-1733OC
160. Recommendations on benchmarks for numerical air quality model applications in China – Part 1: PM2.5 and chemical species L. Huang et al. 10.5194/acp-21-2725-2021
161. Diagnostic analysis of ozone concentrations simulated by two regional-scale air quality models J. Herwehe et al. 10.1016/j.atmosenv.2011.08.011
162. Assessment of transboundary ozone contribution toward South Korea using multiple source–receptor modeling techniques K. Choi et al. 10.1016/j.atmosenv.2014.03.055
163. Reactive puff model SCICHEM: Model enhancements and performance studies B. Chowdhury et al. 10.1016/j.atmosenv.2015.07.012
164. A New Combined Stepwise-Based High-Order Decoupled Direct and Reduced-Form Method To Improve Uncertainty Analysis in PM2.5 Simulations Z. Huang et al. 10.1021/acs.est.6b05479
165. Source apportionment of summertime ozone in China using a source-oriented chemical transport model P. Wang et al. 10.1016/j.atmosenv.2019.05.006
166. Photochemical model evaluation of the ground-level ozone impacts on ambient air quality and vegetation health in the Alberta oil sands region: Using present and future emission scenarios K. Vijayaraghavan et al. 10.1016/j.atmosenv.2016.06.053
167. 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
168. Historical Trends in PM 2.5 -Related Premature Mortality during 1990–2010 across the Northern Hemisphere J. Wang et al. 10.1289/EHP298
169. A method for quantifying bias in modeled concentrations and source impacts for secondary particulate matter C. Ivey et al. 10.1007/s11783-016-0866-6
170. Simulating lightning NO production in CMAQv5.2: performance evaluations D. Kang et al. 10.5194/gmd-12-4409-2019
171. Building resilience to extreme weather events in Phoenix: Considering contaminated sites and disadvantaged communities P. Sinha et al. 10.1016/j.crm.2024.100586
172. A comparison of atmospheric composition using the Carbon Bond and Regional Atmospheric Chemistry Mechanisms G. Sarwar et al. 10.5194/acp-13-9695-2013
173. Contribution of Isoprene Epoxydiol to Urban Organic Aerosol: Evidence from Modeling and Measurements A. Karambelas et al. 10.1021/ez5001353
174. Modeling the gas-particle partitioning of secondary organic aerosol: the importance of liquid-liquid phase separation A. Zuend & J. Seinfeld 10.5194/acp-12-3857-2012
175. 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
176. Source impact and contribution analysis of ambient ozone using multi-modeling approaches over the Pearl River Delta region, China T. Fang et al. 10.1016/j.envpol.2021.117860
177. Gaseous nitrous acid (HONO) and nitrogen oxides (NOx) emission from gasoline and diesel vehicles under real-world driving test cycles H. Trinh et al. 10.1080/10962247.2016.1240726
178. Measurement of heterogeneous uptake of NO2 on inorganic particles, sea water and urban grime C. Yu et al. 10.1016/j.jes.2021.01.018
179. Comment on “Simulation of Surface Ozone Pollution in the Central Gulf Coast Region Using WRF/Chem Model: Sensitivity to PBL and Land Surface Physics” J. Pleim 10.1155/2011/464753
180. Overview of the atmospheric model evaluation tool (AMET) v1.1 for evaluating meteorological and air quality models K. Appel et al. 10.1016/j.envsoft.2010.09.007
181. Unexpected air pollution with marked emission reductions during the COVID-19 outbreak in China T. Le et al. 10.1126/science.abb7431
182. The impact of observation nudging on simulated meteorology and ozone concentrations during DISCOVER-AQ 2013 Texas campaign X. Li et al. 10.5194/acp-16-3127-2016
183. Importance of tropospheric ClNO2 chemistry across the Northern Hemisphere G. Sarwar et al. 10.1002/2014GL059962
184. Quantification of furandiones in ambient aerosol I. Al-Naiema et al. 10.1016/j.atmosenv.2017.01.002
185. Potential impacts of two SO2 oxidation pathways on regional sulfate concentrations: Aqueous-phase oxidation by NO2 and gas-phase oxidation by Stabilized Criegee Intermediates G. Sarwar et al. 10.1016/j.atmosenv.2012.11.036
186. Impacts of Stabilized Criegee Intermediates, surface uptake processes and higher aromatic secondary organic aerosol yields on predicted PM2.5 concentrations in the Mexico City Metropolitan Zone Q. Ying et al. 10.1016/j.atmosenv.2014.05.056
187. Enabling high-performance cloud computing for the Community Multiscale Air Quality Model (CMAQ) version 5.3.3: performance evaluation and benefits for the user community C. Efstathiou et al. 10.5194/gmd-17-7001-2024
188. Future-Year Ozone Isopleths for South Coast, San Joaquin Valley, and Maryland S. Collet et al. 10.3390/atmos9090354
189. Heterogeneous HONO formation deteriorates the wintertime particulate pollution in the Guanzhong Basin, China X. Li et al. 10.1016/j.envpol.2022.119157
190. Observations and modeling of air quality trends over 1990–2010 across the Northern Hemisphere: China, the United States and Europe J. Xing et al. 10.5194/acp-15-2723-2015
191. A forecasting framework on fusion of spatiotemporal features for multi-station PM2.5 J. Wang et al. 10.1016/j.eswa.2023.121951
192. Daily ambient air pollution metrics for five cities: Evaluation of data-fusion-based estimates and uncertainties M. Friberg et al. 10.1016/j.atmosenv.2017.03.022
193. Explainable deep learning hybrid modeling framework for total suspended particles concentrations prediction S. Ghimire et al. 10.1016/j.atmosenv.2025.121079
194. Process analysis of regional ozone formation over the Yangtze River Delta, China using the Community Multi-scale Air Quality modeling system L. Li et al. 10.5194/acp-12-10971-2012
195. Estimates of non-traditional secondary organic aerosols from aircraft SVOC and IVOC emissions using CMAQ M. Woody et al. 10.5194/acp-15-6929-2015
196. Predicting the Effects of Nanoscale Cerium Additives in Diesel Fuel on Regional-Scale Air Quality G. Erdakos et al. 10.1021/es504050g
197. The Chesapeake Bay program modeling system: Overview and recommendations for future development R. Hood et al. 10.1016/j.ecolmodel.2021.109635
198. An Observing System Simulation Experiment Framework for Air Quality Forecasts in Northeast Asia: A Case Study Utilizing Virtual Geostationary Environment Monitoring Spectrometer and Surface Monitored Aerosol Data H. Kim et al. 10.3390/rs14020389
199. Sensitivity analysis of ground level ozone in India using WRF-CMAQ models S. Sharma et al. 10.1016/j.atmosenv.2016.01.036
200. On the uncertainty of anthropogenic aromatic volatile organic compound emissions: model evaluation and sensitivity analysis K. Oliveira et al. 10.5194/acp-24-7137-2024
201. New insights into secondary organic aerosol from the ozonolysis of α-pinene from combined infrared spectroscopy and mass spectrometry measurements C. Kidd et al. 10.1039/C4CP03405H
202. Air-quality-related health impacts from climate change and from adaptation of cooling demand for buildings in the eastern United States: An interdisciplinary modeling study D. Abel et al. 10.1371/journal.pmed.1002599
203. Two reduced form air quality modeling techniques for rapidly calculating pollutant mitigation potential across many sources, locations and precursor emission types K. Foley et al. 10.1016/j.atmosenv.2014.08.046
204. Impact of a new condensed toluene mechanism on air quality model predictions in the US G. Sarwar et al. 10.5194/gmd-4-183-2011
205. A Machine Learning Approach for Air Quality Prediction: Model Regularization and Optimization D. Zhu et al. 10.3390/bdcc2010005
206. Decarbonization will lead to more equitable air quality in California S. Zhu et al. 10.1038/s41467-022-33295-9
207. Characterization of coarse particulate matter in the western United States: a comparison between observation and modeling R. Li et al. 10.5194/acp-13-1311-2013
208. Simulating ozone concentrations using precursor emission inventories in Delhi – National Capital Region of India S. Sharma & M. Khare 10.1016/j.atmosenv.2016.12.009
209. Strategies to reduce PM2.5 and O3 together during late summer and early fall in San Joaquin Valley, California L. Huang et al. 10.1016/j.atmosres.2021.105633
210. Evaluation of a regional air quality model using satellite column NO2: treatment of observation errors and model boundary conditions and emissions R. Pope et al. 10.5194/acp-15-5611-2015
211. Prediction and explanation for ozone variability using cross-stacked ensemble learning model Z. Ning et al. 10.1016/j.scitotenv.2024.173382
212. Development of a response surface model of aviation's air quality impacts in the United States A. Ashok et al. 10.1016/j.atmosenv.2013.05.023
213. Impact of sulfur dioxide oxidation by Stabilized Criegee Intermediate on sulfate G. Sarwar et al. 10.1016/j.atmosenv.2013.12.013
214. Impacts of biogenic isoprene emission on ozone air quality in the Seoul metropolitan area K. Lee et al. 10.1016/j.atmosenv.2014.07.036
215. The Heavy Particulate Matter Pollution During the COVID‐19 Lockdown Period in the Guanzhong Basin, China X. Li et al. 10.1029/2021JD036191
216. Improving the accuracy of O3 prediction from a chemical transport model with a random forest model in the Yangtze River Delta region, China K. Xiong et al. 10.1016/j.envpol.2022.120926
217. Impacts of East Mediterranean megacity emissions on air quality U. Im & M. Kanakidou 10.5194/acp-12-6335-2012
218. A Two-Stage Method to Estimate the Contribution of Road Traffic to PM2.5 Concentrations in Beijing, China X. Fang et al. 10.3390/ijerph13010124
219. Modeling secondary organic aerosol in CMAQ using multigenerational oxidation of semi-volatile organic compounds J. Baek et al. 10.1029/2011JD015911
220. Comparing apples with apples: Using spatially distributed time series of monitoring data for model evaluation E. Solazzo & S. Galmarini 10.1016/j.atmosenv.2015.04.037
221. Air quality impacts of fuel cell electric hydrogen vehicles with high levels of renewable power generation M. Mac Kinnon et al. 10.1016/j.ijhydene.2016.07.054
222. 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
223. 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
224. Impact of Enhanced Ozone Deposition and Halogen Chemistry on Tropospheric Ozone over the Northern Hemisphere G. Sarwar et al. 10.1021/acs.est.5b01657
225. Evaluating the effects of climate change on summertime ozone using a relative response factor approach for policymakers J. Avise et al. 10.1080/10962247.2012.696531
226. Forecasting PM2.5 using hybrid graph convolution-based model considering dynamic wind-field to offer the benefit of spatial interpretability H. Zhou et al. 10.1016/j.envpol.2021.116473
227. Modeling an air pollution episode in northwestern United States: Identifying the effect of nitrogen oxide and volatile organic compound emission changes on air pollutants formation using direct sensitivity analysis A. Tsimpidi et al. 10.1080/10962247.2012.697093
228. Evaluation of the Variability in Chemical Transport Model Performance for Deposition and Ambient Concentrations of Nitrogen and Sulfur Compounds B. Koo et al. 10.3390/atmos3030400
229. 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
230. Feedbacks between air pollution and weather, Part 1: Effects on weather P. Makar et al. 10.1016/j.atmosenv.2014.12.003
231. Modeling crop residue burning experiments to evaluate smoke emissions and plume transport L. Zhou et al. 10.1016/j.scitotenv.2018.01.237
232. Towards the use of dynamic growing seasons in a chemical transport model A. Sakalli & D. Simpson 10.5194/bg-9-5161-2012
233. Using wildland fire smoke modeling data in gerontological health research (California, 2007–2018) P. Koman et al. 10.1016/j.scitotenv.2022.156403
234. Ambient air pollution and fetal growth restriction: Physician diagnosis of fetal growth restriction versus population-based small-for-gestational age C. Nobles et al. 10.1016/j.scitotenv.2018.09.362
235. Photochemical grid model implementation and application of VOC, NOx, and O3 source apportionment R. Kwok et al. 10.5194/gmd-8-99-2015
236. “New” Reactive Nitrogen Chemistry Reshapes the Relationship of Ozone to Its Precursors Q. Li et al. 10.1021/acs.est.7b05771
237. Secondary organic aerosol produced from aircraft emissions at the Atlanta Airport: An advanced diagnostic investigation using process analysis M. Woody & S. Arunachalam 10.1016/j.atmosenv.2013.06.007
238. Simultaneous statistical bias correction of multiple PM2.5 species from a regional photochemical grid model J. Crooks & H. Özkaynak 10.1016/j.atmosenv.2014.06.024
239. Impacts of emission reduction and meteorological conditions on air quality improvement during the 2014 Youth Olympic Games in Nanjing, China Q. Huang et al. 10.5194/acp-17-13457-2017
240. Reforestation and crop land conversion impacts on future regional air quality in the Southeastern U.S. M. Trail et al. 10.1016/j.agrformet.2015.05.001
241. Atmospheric deposition of nitrogen and sulfur over southern Europe with focus on the Mediterranean and the Black Sea U. Im et al. 10.1016/j.atmosenv.2013.09.048
242. Improvement of simulation of fine inorganic PM levels through better descriptions of coarse particle chemistry E. Trump et al. 10.1016/j.atmosenv.2014.11.059
243. Fast heterogeneous N2O5 uptake and ClNO2 production in power plant and industrial plumes observed in the nocturnal residual layer over the North China Plain Z. Wang et al. 10.5194/acp-17-12361-2017
244. Evaluation of on-road vehicle CO and NOx National Emission Inventories using an urban-scale source-oriented air quality model S. Kota et al. 10.1016/j.atmosenv.2013.11.020
245. Exposure to Source-Specific Particulate Matter and Health Effects: a Review of Epidemiological Studies J. Xu et al. 10.1007/s40726-022-00235-6
246. Insights into particulate matter pollution in the North China Plain during wintertime: local contribution or regional transport? J. Wu et al. 10.5194/acp-21-2229-2021
247. Combustion-related isoprene contributes substantially to the formation of wintertime secondary organic aerosols Y. Zhang et al. 10.1093/nsr/nwae474
248. The role of the atmosphere in the provision of ecosystem services E. Cooter et al. 10.1016/j.scitotenv.2012.07.077
249. Epoxide Pathways Improve Model Predictions of Isoprene Markers and Reveal Key Role of Acidity in Aerosol Formation H. Pye et al. 10.1021/es402106h
250. An integrated process rate analysis of a regional fine particulate matter episode over Yangtze River Delta in 2010 L. Li et al. 10.1016/j.atmosenv.2014.03.053
251. Trends in atmospheric reactive nitrogen for the Eastern United States R. Pinder et al. 10.1016/j.envpol.2011.04.042
252. RETRACTED ARTICLE: Evaluation of agricultural climate and regional agricultural economic efficiency based on remote sensing analysis X. Lu 10.1007/s12517-021-07153-9
253. Enhancements of major aerosol components due to additional HONO sources in the North China Plain and implications for visibility and haze J. An et al. 10.1007/s00376-012-2016-9
254. Assessment of the emissions and air quality impacts of biomass and biogas use in California M. Carreras-Sospedra et al. 10.1080/10962247.2015.1087892
255. Evaluating the capability of regional-scale air quality models to capture the vertical distribution of pollutants E. Solazzo et al. 10.5194/gmd-6-791-2013
256. 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
257. A modeling analysis of alternative primary and secondary US ozone standards in urban and rural areas U. Nopmongcol et al. 10.1016/j.atmosenv.2014.09.062
258. MICS-Asia III: overview of model intercomparison and evaluation of acid deposition over Asia S. Itahashi et al. 10.5194/acp-20-2667-2020
259. Potential significance of photoexcited NO2 on global air quality with the NMMB/BSC chemical transport model O. Jorba et al. 10.1029/2012JD017730
260. The Triggering of Myocardial Infarction by Fine Particles Is Enhanced When Particles Are Enriched in Secondary Species D. Rich et al. 10.1021/es4027248
261. Evaluation of improved land use and canopy representation in BEIS v3.61 with biogenic VOC measurements in California J. Bash et al. 10.5194/gmd-9-2191-2016
262. “Transference ratios” to predict total oxidized sulfur and nitrogen deposition – Part II, modeling results J. Sickles et al. 10.1016/j.atmosenv.2013.05.015
263. 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
264. 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
265. Multi-step ozone concentration prediction model based on improved secondary decomposition and adaptive kernel density estimation J. Zhou et al. 10.1016/j.psep.2024.08.044
266. 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
267. Assessment of SAPRC07 with updated isoprene chemistry against outdoor chamber experiments Y. Chen et al. 10.1016/j.atmosenv.2015.01.042
268. Simulating Particle Size Distributions over California and Impact on Lung Deposition Fraction J. Kelly et al. 10.1080/02786826.2010.528078
269. Using optimal interpolation to assimilate surface measurements and satellite AOD for ozone and PM2.5: A case study for July 2011 Y. Tang et al. 10.1080/10962247.2015.1062439
270. Ambient temperature and air quality in relation to small for gestational age and term low birthweight S. Ha et al. 10.1016/j.envres.2017.02.021
271. Source apportionment of PM2.5 nitrate and sulfate in China using a source-oriented chemical transport model H. Zhang et al. 10.1016/j.atmosenv.2012.08.014
272. Improved meteorology from an updated WRF/CMAQ modeling system with MODIS vegetation and albedo L. Ran et al. 10.1002/2015JD024406
273. Evaluation of the performance of four chemical transport models in predicting the aerosol chemical composition in Europe in 2005 M. Prank et al. 10.5194/acp-16-6041-2016
274. A WRF-CMAQ modeling of atmospheric PAH cycling and health risks in the heavy petrochemical industrialized Lanzhou valley, Northwest China Z. Wang et al. 10.1016/j.jclepro.2021.125989
275. 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
276. Application of the Kolmogorov–Zurbenko filter and the decoupled direct 3D method for the dynamic evaluation of a regional air quality model D. Kang et al. 10.1016/j.atmosenv.2013.04.046
277. Integrated studies of a regional ozone pollution synthetically affected by subtropical high and typhoon system in the Yangtze River Delta region, China L. Shu et al. 10.5194/acp-16-15801-2016
278. Using Bayesian time-stratified case-crossover models to examine associations between air pollution and “asthma seasons” in a low air pollution environment M. Bozigar et al. 10.1371/journal.pone.0260264
279. Source apportionment of fine particles and its chemical components over the Yangtze River Delta, China during a heavy haze pollution episode L. Li et al. 10.1016/j.atmosenv.2015.06.051
280. Reconciling NOx emissions reductions and ozone trends in the U.S., 2002–2006 W. Zhou et al. 10.1016/j.atmosenv.2012.12.038
281. Role of stabilized Criegee Intermediates in the formation of atmospheric sulfate in eastern United States J. Li et al. 10.1016/j.atmosenv.2013.06.048
282. O3 transport characteristics in eastern China in 2017 and 2021 based on complex networks and WRF-CMAQ-ISAM H. Qi et al. 10.1016/j.chemosphere.2023.139258
283. Regional PM2.5 prediction with hybrid directed graph neural networks and Spatio-temporal fusion of meteorological factors Y. Chen et al. 10.1016/j.envpol.2024.125404
284. Evaluation of dust and trace metal estimates from the Community Multiscale Air Quality (CMAQ) model version 5.0 K. Appel et al. 10.5194/gmd-6-883-2013
285. Comparison of chemical lateral boundary conditions for air quality predictions over the contiguous United States during pollutant intrusion events Y. Tang et al. 10.5194/acp-21-2527-2021
286. Impact of shipping emissions on ozone levels over Europe: assessing the relative importance of the Standard Nomenclature for Air Pollution (SNAP) categories E. Tagaris et al. 10.1007/s11356-017-9046-x
287. Impact of HONO sources on the performance of mesoscale air quality models M. Gonçalves et al. 10.1016/j.atmosenv.2012.02.079
288. The impact of satellite-adjusted NOx emissions on simulated NOx and O3 discrepancies in the urban and outflow areas of the Pacific and Lower Middle US Y. Choi 10.5194/acp-14-675-2014
289. Identifying Contributors to PM2.5 Simulation Biases of Chemical Transport Model Using Fully Connected Neural Networks J. Liu & J. Xing 10.1029/2021MS002898
290. Coupling of Important Physical Processes in the Planetary Boundary Layer between Meteorological and Chemistry Models for Regional to Continental Scale Air Quality Forecasting: An Overview P. Lee & F. Ngan 10.3390/atmos2030464
291. Sulfur and Nitrogen Depositions in BULGARIA—Model Results and Observations E. Georgieva et al. 10.3390/atmos13020343
292. Local and transboundary transport contributions to the wintertime particulate pollution in the Guanzhong Basin (GZB), China: A case study X. Li et al. 10.1016/j.scitotenv.2021.148876
293. Examining the impact of heterogeneous nitryl chloride production on air quality across the United States G. Sarwar et al. 10.5194/acp-12-6455-2012
294. A multi-model assessment for the 2006 and 2010 simulations under the Air Quality Model Evaluation International Initiative (AQMEII) phase 2 over North America: Part I. Indicators of the sensitivity of O3 and PM2.5 formation regimes P. Campbell et al. 10.1016/j.atmosenv.2014.12.026
295. Contribution of biogenic sources to secondary organic aerosol in the summertime in Shaanxi, China Y. Xu et al. 10.1016/j.chemosphere.2020.126815
296. Significant Contributions of Isoprene to Summertime Secondary Organic Aerosol in Eastern United States Q. Ying et al. 10.1021/acs.est.5b02514
297. Understanding sources of organic aerosol during CalNex-2010 using the CMAQ-VBS M. Woody et al. 10.5194/acp-16-4081-2016
298. Acute Air Pollution Exposure and Blood Pressure at Delivery Among Women With and Without Hypertension T. Männistö et al. 10.1093/ajh/hpu077
299. 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
300. Impacts of urban land-surface forcing on ozone air quality in the Seoul metropolitan area Y. Ryu et al. 10.5194/acp-13-2177-2013
301. Regional aerosol forecasts based on deep learning and numerical weather prediction Y. Qiu et al. 10.1038/s41612-023-00397-0
302. Temporalization of Peak Electric Generation Particulate Matter Emissions during High Energy Demand Days C. Farkas et al. 10.1021/es5050248
303. Observation of heat wave effects on the urban air quality and PBL in New York City area Y. Wu et al. 10.1016/j.atmosenv.2019.117024
304. Ozone pollution episodes and PBL height variation in the NYC urban and coastal areas during LISTOS 2019 Y. Wu et al. 10.1016/j.atmosenv.2023.120317
305. Source contribution analysis of PM2.5 using Response Surface Model and Particulate Source Apportionment Technology over the PRD region, China Z. Li et al. 10.1016/j.scitotenv.2021.151757
306. Exploring Volatility Properties of Discrete Secondary Organic Aerosol Constituents of α-Pinene and Polycyclic Aromatic Hydrocarbons Z. Babar et al. 10.1021/acsearthspacechem.0c00210
307. Evaluation and intercomparison of ozone simulations by Models-3/CMAQ and CAMx over the Pearl River Delta J. Shen et al. 10.1007/s11426-011-4390-z
308. Implementation and evaluation of PM2.5 source contribution analysis in a photochemical model R. Kwok et al. 10.1016/j.atmosenv.2013.08.017
309. Operational model evaluation for particulate matter in Europe and North America in the context of AQMEII E. Solazzo et al. 10.1016/j.atmosenv.2012.02.045
310. Photochemical Modeling of the Ozark Isoprene Volcano: MEGAN, BEIS, and Their Impacts on Air Quality Predictions A. Carlton & K. Baker 10.1021/es200050x
311. Observing and Forecasting Vog Dispersion from Kīlauea Volcano, Hawaii S. Businger et al. 10.1175/BAMS-D-14-00150.1
312. Outdoor PM 2.5 , Ambient Air Temperature, and Asthma Symptoms in the Past 14 Days among Adults with Active Asthma M. Mirabelli et al. 10.1289/EHP92
313. Ambient Air Pollution and Risk of Gestational Hypertension Y. Zhu et al. 10.1093/aje/kwx097
314. 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
315. 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
316. An assessment of Aviation’s contribution to current and future fine particulate matter in the United States M. Woody et al. 10.1016/j.atmosenv.2011.03.041
317. Insights into the temporal and spatial characteristics of PM2.5 transport flux across the district, city and region in the North China Plain H. Zhang et al. 10.1016/j.atmosenv.2019.117010
318. Air quality forecasting for winter‐time PM2.5 episodes occurring in multiple cities in central and southern Chile P. Saide et al. 10.1002/2015JD023949
319. 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
320. A comprehensive global modeling assessment of nitrate heterogeneous formation on desert dust R. Soussé Villa et al. 10.5194/acp-25-4719-2025
321. Modeling regional secondary organic aerosol using the Master Chemical Mechanism J. Li et al. 10.1016/j.atmosenv.2014.11.054
322. Sensitivity of continental United States atmospheric budgets of oxidized and reduced nitrogen to dry deposition parametrizations R. Dennis et al. 10.1098/rstb.2013.0124
323. Differential Effect of Ambient Air Pollution Exposure on Risk of Gestational Hypertension and Preeclampsia C. Nobles et al. 10.1161/HYPERTENSIONAHA.119.12731
324. Compilation and interpretation of photochemical model performance statistics published between 2006 and 2012 H. Simon et al. 10.1016/j.atmosenv.2012.07.012
325. Summertime weekly cycles of observed and modeled NOx and O3 concentrations as a function of satellite-derived ozone production sensitivity and land use types over the Continental United States Y. Choi et al. 10.5194/acp-12-6291-2012
326. An extended approach to calculate the ozone relative response factors used in the attainment demonstration for the National Ambient Air Quality Standards S. Kulkarni et al. 10.1080/10962247.2014.936984
327. Using SEVIRI fire observations to drive smoke plumes in the CMAQ air quality model: a case study over Antalya in 2008 G. Baldassarre et al. 10.5194/acp-15-8539-2015
328. 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
329. Multivariate air pollution prediction modeling with partial missingness R. Boaz et al. 10.1002/env.2592
330. Evaluation of observation-fused regional air quality model results for population air pollution exposure estimation G. Chen et al. 10.1016/j.scitotenv.2014.03.107
331. Source apportionment of sulfate and nitrate particulate matter in the Eastern United States and effectiveness of emission control programs H. Zhang et al. 10.1016/j.scitotenv.2014.04.064
332. Gas-phase evaluation of the online NMMB/BSC-CTM model over Europe for 2010 in the framework of the AQMEII-Phase2 project A. Badia & O. Jorba 10.1016/j.atmosenv.2014.05.055
333. An evaluation of CMAQ NO2 using observed chemistry‐meteorology correlations M. Harkey et al. 10.1002/2015JD023316
334. Assessment of the greenhouse gas, Episodic air quality and public health benefits of fuel cell electrification of a major port complex S. Zhu et al. 10.1016/j.atmosenv.2022.118996
335. Vertical distribution and transport characteristics of ozone pollution based on lidar observation network and data assimilation over the Pearl River Delta, China Y. Pan et al. 10.1016/j.atmosres.2024.107643
336. Widespread Pollution From Secondary Sources of Organic Aerosols During Winter in the Northeastern United States V. Shah et al. 10.1029/2018GL081530
337. Modeled aerosol nitrate formation pathways during wintertime in the Great Lakes region of North America Y. Kim et al. 10.1002/2014JD022320
338. Impact of updated traffic emissions on HONO mixing ratios simulated for urban site in Houston, Texas B. Czader et al. 10.5194/acp-15-1253-2015
339. 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
340. Improving the accuracy of AOD by using multi-sensors data over the Red Sea and the Persian Gulf M. Pashayi et al. 10.1016/j.apr.2023.101948
341. Model Representation of Secondary Organic Aerosol in CMAQv4.7 A. Carlton et al. 10.1021/es100636q
342. 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
343. A Direct Sensitivity Approach to Predict Hourly Ozone Resulting from Compliance with the National Ambient Air Quality Standard H. Simon et al. 10.1021/es303674e
344. Quantifying the contribution of shipping NOx emissions to the marine nitrogen inventory – a case study for the western Baltic Sea D. Neumann et al. 10.5194/os-16-115-2020
345. Use of high-order sensitivity analysis and reduced-form modeling to quantify uncertainty in particulate matter simulations in the presence of uncertain emissions rates: A case study in Houston W. Zhang et al. 10.1016/j.atmosenv.2015.08.091
346. Estimating emissions of biogenic volatile organic compounds from urban green spaces and their contributions to secondary pollution J. Ma et al. 10.1039/D4EA00099D
347. Evaluation of a seven-year air quality simulation using the Weather Research and Forecasting (WRF)/Community Multiscale Air Quality (CMAQ) models in the eastern United States H. Zhang et al. 10.1016/j.scitotenv.2013.11.121
348. Source apportionment of PM2.5 for 25 Chinese provincial capitals and municipalities using a source-oriented Community Multiscale Air Quality model X. Qiao et al. 10.1016/j.scitotenv.2017.08.272
349. Premature Mortality Attributable to Particulate Matter in China: Source Contributions and Responses to Reductions J. Hu et al. 10.1021/acs.est.7b03193
350. Spatio-temporal fusion of meteorological factors for multi-site PM2.5 prediction: A deep learning and time-variant graph approach H. Wang et al. 10.1016/j.envres.2023.117286
351. Effect of chemistry-transport model scale and resolution on population exposure to PM2.5 from aircraft emissions during landing and takeoff S. Arunachalam et al. 10.1016/j.atmosenv.2011.03.029
352. Modeling the Current and Future Roles of Particulate Organic Nitrates in the Southeastern United States H. Pye et al. 10.1021/acs.est.5b03738
353. Mapping Modeled Exposure of Wildland Fire Smoke for Human Health Studies in California P. Koman et al. 10.3390/atmos10060308
354. Local and inter-regional contributions to PM2.5 nitrate and sulfate in China Q. Ying et al. 10.1016/j.atmosenv.2014.05.078
355. The Detailed Emissions Scaling, Isolation, and Diagnostic (DESID) module in the Community Multiscale Air Quality (CMAQ) modeling system version 5.3.2 B. Murphy et al. 10.5194/gmd-14-3407-2021
356. Incremental testing of the Community Multiscale Air Quality (CMAQ) modeling system version 4.7 K. Foley et al. 10.5194/gmd-3-205-2010
357. Incorporating principal component analysis into air quality model evaluation B. Eder et al. 10.1016/j.atmosenv.2013.10.015
358. Interpreting predictions from the SAPRC07 mechanism based on regional and continental simulations W. Hutzell et al. 10.1016/j.atmosenv.2011.09.030
359. Impact of temporal upscaling and chemical transport model horizontal resolution on reducing ozone exposure misclassification Y. Xu et al. 10.1016/j.atmosenv.2017.07.033
360. Regional sources of atmospheric formaldehyde and acetaldehyde, and implications for atmospheric modeling D. Luecken et al. 10.1016/j.atmosenv.2011.10.005
361. Impact of Biogenic Emission Uncertainties on the Simulated Response of Ozone and Fine Particulate Matter to Anthropogenic Emission Reductions C. Hogrefe et al. 10.3155/1047-3289.61.1.92
362. Simulation of Air Quality and Pollution Control Countermeasures of Chengdu Urban Agglomeration W. Wang et al. 10.4028/www.scientific.net/AMR.610-613.1387
363. Sensitivity of the Community Multiscale Air Quality (CMAQ) model v4.7 results for the eastern United States to MM5 and WRF meteorological drivers K. Appel et al. 10.5194/gmd-3-169-2010
364. A data fusion approach for spatial analysis of speciated PM2.5 across time C. Rundel et al. 10.1002/env.2369
365. Potential sources of nitrous acid (HONO) and their impacts on ozone: A WRF‐Chem study in a polluted subtropical region L. Zhang et al. 10.1002/2015JD024468