190 citations as recorded by crossref.

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2. Missing Measurements of Sesquiterpene Ozonolysis Rates and Composition Limit Understanding of Atmospheric Reactivity G. Isaacman-VanWertz et al. 10.1021/acs.est.3c10348
3. 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
4. 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
5. 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
6. Air Pollution Monitoring, and Modelling: An Overview F. Tahir Bahadur et al. 10.1080/15275922.2023.2297437
7. 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
8. 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
9. Application of regional meteorology and air quality models based on the microprocessor without interlocked piped stages (MIPS) and LoongArch CPU platforms Z. Bai et al. 10.5194/gmd-17-4383-2024
10. Current State of Atmospheric Aerosol Thermodynamics and Mass Transfer Modeling: A Review K. Semeniuk & A. Dastoor 10.3390/atmos11020156
11. 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
12. 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
13. 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
14. 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
15. Enhanced urban PM2.5 prediction: Applying quadtree division and time-series transformer with WRF-chem S. Zhang & M. Yu 10.1016/j.atmosenv.2024.120758
16. Furthering a partnership: Air quality modeling and improving public health S. Hunt et al. 10.1080/10962247.2021.1876180
17. Predicting hourly PM2.5 concentrations in wildfire-prone areas using a SpatioTemporal Transformer model M. Yu et al. 10.1016/j.scitotenv.2022.160446
18. 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
19. Novel index to comprehensively evaluate air cleanliness: the Clean aIr Index (CII) T. Sato et al. 10.5194/gc-3-233-2020
20. 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
21. 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
22. Incorporation of Remote PM2.5 Concentrations into the Downscaler Model for Spatially Fused Air Quality Surfaces B. Gantt et al. 10.3390/atmos11010103
23. 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
24. Box Model Applications for Secondary Inorganic Aerosol: A Review Focused on Nitrate Formation S. Park 10.5572/KOSAE.2024.40.1.1
25. 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
26. 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
27. 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
28. 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
29. 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
30. 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
31. 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
32. 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
33. 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
34. 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
35. Anthropogenic emission inventories in China: a review M. Li et al. 10.1093/nsr/nwx150
36. Vapor-Pressure Pathways Initiate but Hydrolysis Products Dominate the Aerosol Estimated from Organic Nitrates A. Zare et al. 10.1021/acsearthspacechem.9b00067
37. 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
38. Chemical Weather and Chemical Climate G. Brasseur & R. Kumar 10.1029/2021AV000399
39. 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
40. Improving the particle dry deposition scheme in the CMAQ photochemical modeling system Q. Shu et al. 10.1016/j.atmosenv.2022.119343
41. Mass Extinction Efficiency Approximation for Polydispersed Aerosol Using Harmonic Mean-Type Approximation J. Um et al. 10.3390/app10238637
42. Additional Benefits of Federal Air-Quality Rules: Model Estimates of Controllable Biogenic Secondary Organic Aerosol A. Carlton et al. 10.1021/acs.est.8b01869
43. 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
44. Persistent Heavy Winter Nitrate Pollution Driven by Increased Photochemical Oxidants in Northern China X. Fu et al. 10.1021/acs.est.9b07248
45. 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
46. An Integrated Agriculture, Atmosphere, and Hydrology Modeling System for Ecosystem Assessments L. Ran et al. 10.1029/2019MS001708
47. 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
48. 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
49. 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
50. Impact of Reductions in Emissions from Major Source Sectors on Fine Particulate Matter–Related Cardiovascular Mortality G. Peterson et al. 10.1289/EHP5692
51. 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
52. Nitrogen Oxides Emissions, Chemistry, Deposition, and Export Over the Northeast United States During the WINTER Aircraft Campaign L. Jaeglé et al. 10.1029/2018JD029133
53. 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
54. Spatio-temporal learning in predicting ambient particulate matter concentration by multi-layer perceptron E. Chianese et al. 10.1016/j.ecoinf.2018.12.001
55. 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
56. A comparative study of two-way and offline coupled WRF v3.4 and CMAQ v5.0.2 over the contiguous US: performance evaluation and impacts of chemistry–meteorology feedbacks on air quality K. Wang et al. 10.5194/gmd-14-7189-2021
57. 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
58. WRF-Chem Modeling of Summertime Air Pollution in the Northern Great Plains: Chemistry and Aerosol Mechanism Intercomparison C. Bucaram & F. Bowman 10.3390/atmos12091121
59. 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
60. Quantifying the effects of mixing state on aerosol optical properties Y. Yao et al. 10.5194/acp-22-9265-2022
61. 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
62. Short-Term total and wildfire fine particulate matter exposure and work loss in California Y. Meng et al. 10.1016/j.envint.2023.108045
63. 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
64. 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
65. 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
66. Using wildland fire smoke modeling data in gerontological health research (California, 2007–2018) P. Koman et al. 10.1016/j.scitotenv.2022.156403
67. 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
68. 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
69. 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
70. 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
71. 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
72. 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
73. Comparing health benefit calculations for alternative energy futures K. Brown et al. 10.1007/s11869-020-00840-8
74. 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
75. 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
76. 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
77. 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
78. 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
79. Establishing the Suitability of the Model for Prediction Across Scales for Global Retrospective Air Quality Modeling R. Gilliam et al. 10.1029/2020JD033588
80. 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
81. 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
82. Shipborne nutrient dynamics and impact on the eutrophication in the Baltic Sea U. Raudsepp et al. 10.1016/j.scitotenv.2019.03.264
83. 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
84. Measured and modelled ozone photochemical production in the Baltimore-Washington airshed L. Hembeck et al. 10.1016/j.aeaoa.2019.100017
85. 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
86. 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
87. 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
88. Impacts of household sources on air pollution at village and regional scales in India B. Rooney et al. 10.5194/acp-19-7719-2019
89. 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
90. 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
91. Critical Review of Eutrophication Models for Life Cycle Assessment B. Morelli et al. 10.1021/acs.est.8b00967
92. 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
93. 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
94. 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
95. Toward Improving Short‐Term Predictions of Fine Particulate Matter Over the United States Via Assimilation of Satellite Aerosol Optical Depth Retrievals R. Kumar et al. 10.1029/2018JD029009
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97. 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
98. 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
99. 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
100. Modeled Full‐Flight Aircraft Emissions Impacts on Air Quality and Their Sensitivity to Grid Resolution L. Vennam et al. 10.1002/2017JD026598
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104. Air pollution and health impacts of oil & gas production in the United States J. Buonocore et al. 10.1088/2752-5309/acc886
105. 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
106. Modeling emissions for three-dimensional atmospheric chemistry transport models V. Matthias et al. 10.1080/10962247.2018.1424057
107. Evaluating trends and seasonality in modeled PM<sub>2.5</sub> concentrations using empirical mode decomposition H. Luo et al. 10.5194/acp-20-13801-2020
108. A Call for an Aloft Air Quality Monitoring Network: Need, Feasibility, and Potential Value R. Mathur et al. 10.1021/acs.est.8b02496
109. Significant ground-level ozone attributed to lightning-induced nitrogen oxides during summertime over the Mountain West States D. Kang et al. 10.1038/s41612-020-0108-2
110. Predicting the Nonlinear Response of PM2.5 and Ozone to Precursor Emission Changes with a Response Surface Model J. Kelly et al. 10.3390/atmos12081044
111. 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
112. Evaluation of 15 years of modeled atmospheric oxidized nitrogen compounds across the contiguous United States C. Toro et al. 10.1525/elementa.2020.00158
113. 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
114. An investigation into atmospheric nitrous acid (HONO) processes in South Korea K. Kim et al. 10.5194/acp-24-12575-2024
115. Impact of dimethylsulfide chemistry on air quality over the Northern Hemisphere J. Zhao et al. 10.1016/j.atmosenv.2020.117961
116. Numerical study of the future PM2.5 concentration under climate change and best-health-effect (BHE) scenario D. Li et al. 10.1016/j.envpol.2024.124391
117. Linking energy sector and air quality models through downscaling: Long-run siting of electricity generators to account for spatial variability and technological innovation S. Wang et al. 10.1016/j.scitotenv.2021.145504
118. 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
119. Development of a detailed gaseous oxidation scheme of naphthalene for secondary organic aerosol (SOA) formation and speciation V. Lannuque & K. Sartelet 10.5194/acp-24-8589-2024
120. 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
121. Reflecting on progress since the 2005 NARSTO emissions inventory report M. Day et al. 10.1080/10962247.2019.1629363
122. Additive dynamic models for correcting numerical model outputs Y. Chen et al. 10.1016/j.csda.2023.107799
123. Estimating Wildfire Smoke Concentrations during the October 2017 California Fires through BME Space/Time Data Fusion of Observed, Modeled, and Satellite-Derived PM2.5 S. Cleland et al. 10.1021/acs.est.0c03761
124. Comparison of multiple PM2.5 exposure products for estimating health benefits of emission controls over New York State, USA X. Jin et al. 10.1088/1748-9326/ab2dcb
125. Predicting Hourly Pm2.5 Concentrations in Wildfire-Prone Areas Using a Spatiotemporal Transformer Model M. Yu et al. 10.2139/ssrn.4197034
126. 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
127. 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
128. 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
129. 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
130. 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
131. 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
132. Using the Multicomponent Aerosol FORmation Model (MAFOR) to Determine Improved VOC Emission Factors in Ship Plumes L. Fink et al. 10.3390/toxics12060432
133. Non-linear effects of secondary organic aerosol formation and properties in multi-precursor systems M. Takeuchi et al. 10.1038/s41467-022-35546-1
134. 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
135. 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
136. Simulating lightning NO production in CMAQv5.2: performance evaluations D. Kang et al. 10.5194/gmd-12-4409-2019
137. 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
138. A review of machine learning for modeling air quality: Overlooked but important issues D. Tang et al. 10.1016/j.atmosres.2024.107261
139. Research on Prediction Model of Particulate Matter in Dalian Street Canyon X. Song et al. 10.3390/atmos15040397
140. 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
141. 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
142. 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
143. 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
144. Improving the simulation of convective dust storms in regional‐to‐global models H. Foroutan & J. Pleim 10.1002/2017MS000953
145. Development of the WRF-CO2 4D-Var assimilation system v1.0 T. Zheng et al. 10.5194/gmd-11-1725-2018
146. 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
147. Method for Experimental Data Processing Concerning Chemical Reaction Rates in Low-Atomic Gases A. Belov & N. Kalitkin 10.1134/S0965542520070040
148. A WRF-CMAQ modeling of atmospheric peroxyacetyl nitrate and source apportionment in Central China Y. Wang et al. 10.1016/j.scitotenv.2023.165033
149. Precursors and formation of secondary organic aerosols from wildfires in the Euro-Mediterranean region M. Majdi et al. 10.5194/acp-19-5543-2019
150. 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
151. 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
152. 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
153. 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
154. 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
155. Human Settlement Quality Evaluation Based on Air Quality in Major Cities of China X. Li et al. 10.1155/2018/4914760
156. Regional Climate Effects of Biomass Burning and Dust in East Asia: Evidence From Modeling and Observation X. Dong et al. 10.1029/2019GL083894
157. 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
158. 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
159. 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
160. Linking Electricity and Air Quality Models by Downscaling: Weather-Informed Hourly Dispatch of Generation Accounting for Renewable and Load Temporal Variability Scenarios S. Wang et al. 10.1021/acs.est.4c08060
161. Mapping Modeled Exposure of Wildland Fire Smoke for Human Health Studies in California P. Koman et al. 10.3390/atmos10060308
162. 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
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