64 citations as recorded by crossref.

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2. The role of aerosol–radiation–cloud interactions in linking anthropogenic pollution over southern west Africa and dust emission over the Sahara L. Menut et al. 10.5194/acp-19-14657-2019
3. Quality of the Governing Temperature Variables in WRF in relation to Simulation of Primary Biological Aerosols C. Skjøth et al. 10.1155/2015/412658
4. Modeling the Processing of Aerosol and Trace Gases in Clouds and Fogs B. Ervens 10.1021/cr5005887
5. Improvement of aerosol activation/ice nucleation in a source-oriented WRF-Chem model to study a winter Storm in California H. Lee et al. 10.1016/j.atmosres.2019.104790
6. Analyses and Simulations of PM2.5 Pollution Characteristics under the Influence of the New Year’s Day Effects in China Q. Shi et al. 10.3390/atmos15050568
7. Application of WRF/Chem over East Asia: Part I. Model evaluation and intercomparison with MM5/CMAQ Y. Zhang et al. 10.1016/j.atmosenv.2015.07.022
8. Impacts of aerosol direct effects on tropospheric ozone through changes in atmospheric dynamics and photolysis rates J. Xing et al. 10.5194/acp-17-9869-2017
9. Ground-level ozone in the Mekong Delta region: precursors, meteorological factors, and regional transport L. Bui & P. Nguyen 10.1007/s11356-022-23819-7
10. Identification of long-range transport pathways and potential sources of PM2.5 and PM10 in Beijing from 2014 to 2015 D. Li et al. 10.1016/j.jes.2016.06.035
11. Does temperature nudging overwhelm aerosol radiative effects in regional integrated climate models? J. He et al. 10.1016/j.atmosenv.2017.01.040
12. Switching to electric vehicles can lead to significant reductions of PM2.5 and NO2 across China L. Wang et al. 10.1016/j.oneear.2021.06.008
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15. Enhancing real-time PM2.5 forecasts: A hybrid approach of WRF-CMAQ model and CNN algorithm Y. Lee et al. 10.1016/j.atmosenv.2024.120835
16. Sensitivity of Radiative Fluxes to Aerosols in the ALADIN-HIRLAM Numerical Weather Prediction System L. Rontu et al. 10.3390/atmos11020205
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18. Significant reductions of urban daytime ozone by extremely high concentration NOX from ship’s emissions: A case study Z. Song et al. 10.1016/j.apr.2024.102142
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20. Significant wintertime PM<sub>2.5</sub> mitigation in the Yangtze River Delta, China, from 2016 to 2019: observational constraints on anthropogenic emission controls L. Wang et al. 10.5194/acp-20-14787-2020
21. Decadal application of WRF/chem for regional air quality and climate modeling over the U.S. under the representative concentration pathways scenarios. Part 2: Current vs. future simulations K. Yahya et al. 10.1016/j.atmosenv.2016.12.028
22. Residential emissions predicted as a major source of fine particulate matter in winter over the Yangtze River Delta, China Y. Wu et al. 10.1007/s10311-018-0735-6
23. 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
24. Different contributions of meteorological conditions and emission reductions to the ozone pollution during Shanghai’s COVID-19 lockdowns in winter and spring X. Dou et al. 10.1016/j.apr.2024.102252
25. 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
26. 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
27. Quantification and Characterization of Fine Plastic Particles as Considerable Components in Atmospheric Fine Particles Y. Chen et al. 10.1021/acs.est.3c06832
28. Local production, downward and regional transport aggravated surface ozone pollution during the historical orange-alert large-scale ozone episode in eastern China Y. Zhang et al. 10.1007/s10311-022-01421-0
29. Unexpected Benefits of Reducing Aerosol Cooling Effects J. Xing et al. 10.1021/acs.est.6b00767
30. Evaluation and potential improvements of WRF/CMAQ in simulating multi-levels air pollution in megacity Shanghai, China J. Tan et al. 10.1007/s00477-016-1342-3
31. Multi-year application of WRF-CAM5 over East Asia-Part I: Comprehensive evaluation and formation regimes of O3 and PM2.5 J. He et al. 10.1016/j.atmosenv.2017.06.015
32. Multi-year application of WRF-CAM5 over East Asia-Part II: Interannual variability, trend analysis, and aerosol indirect effects Y. Zhang et al. 10.1016/j.atmosenv.2017.06.029
33. Can a coupled meteorology–chemistry model reproduce the historical trend in aerosol direct radiative effects over the Northern Hemisphere? J. Xing et al. 10.5194/acp-15-9997-2015
34. Unrecognized pollution by inorganic condensable particulate matter in the atmosphere M. Li et al. 10.1007/s10311-023-01644-9
35. Relaxation of Spring Festival Firework Regulations Leads to a Deterioration in Air Quality X. Huang et al. 10.1021/acs.est.4c00920
36. High reduction of ozone and particulate matter during the 2016 G-20 summit in Hangzhou by forced emission controls of industry and traffic P. Li et al. 10.1007/s10311-017-0642-2
37. Fine-scale application of WRF-CAM5 during a dust storm episode over East Asia: Sensitivity to grid resolutions and aerosol activation parameterizations K. Wang et al. 10.1016/j.atmosenv.2017.12.014
38. Decadal evaluation of regional climate, air quality, and their interactions over the continental US and their interactions using WRF/Chem version 3.6.1 K. Yahya et al. 10.5194/gmd-9-671-2016
39. Investigating the regional difference of aerosol feedback effects over South Korea using the WRF-CMAQ two-way coupled modeling system J. Yoo et al. 10.1016/j.atmosenv.2019.116968
40. Mitigation of severe urban haze pollution by a precision air pollution control approach S. Yu et al. 10.1038/s41598-018-26344-1
41. Evaluating cloud properties in an ensemble of regional online coupled models against satellite observations R. Baró et al. 10.5194/acp-18-15183-2018
42. Air quality and climate change, Topic 3 of the Model Inter-Comparison Study for Asia Phase III (MICS-Asia III) – Part 1: Overview and model evaluation M. Gao et al. 10.5194/acp-18-4859-2018
43. 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
44. Multi-year downscaling application of two-way coupled WRF v3.4 and CMAQ v5.0.2 over east Asia for regional climate and air quality modeling: model evaluation and aerosol direct effects C. Hong et al. 10.5194/gmd-10-2447-2017
45. A heavy haze episode in Beijing in February of 2014: Characteristics, origins and implications R. Yan et al. 10.5094/APR.2015.096
46. 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
47. Hyperfine-resolution mapping of on-road vehicle emissions with comprehensive traffic monitoring and an intelligent transportation system L. Jiang et al. 10.5194/acp-21-16985-2021
48. Role of Sea Fog Over the Yellow Sea on Air Quality With the Direct Effect of Aerosols J. Jung et al. 10.1029/2020JD033498
49. 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
50. Impact of future climate policy scenarios on air quality and aerosol-cloud interactions using an advanced version of CESM/CAM5: Part II. Future trend analysis and impacts of projected anthropogenic emissions T. Glotfelty & Y. Zhang 10.1016/j.atmosenv.2016.12.034
51. Impacts of condensable particulate matter on atmospheric organic aerosols and fine particulate matter (PM2.5) in China M. Li et al. 10.5194/acp-22-11845-2022
52. A new chemistry option in WRF-Chem v. 3.4 for the simulation of direct and indirect aerosol effects using VBS: evaluation against IMPACT-EUCAARI data P. Tuccella et al. 10.5194/gmd-8-2749-2015
53. Characteristics and origins of a typical heavy haze episode in Baotou, China: implications for the spatial distribution of industrial sources B. Chen et al. 10.1631/jzus.A1500284
54. Recommendations on statistics and benchmarks to assess photochemical model performance C. Emery et al. 10.1080/10962247.2016.1265027
55. The Modeling Study about Impacts of Emission Control Policies for Chinese 14th Five-Year Plan on PM2.5 and O3 in Yangtze River Delta, China Z. Li et al. 10.3390/atmos13010026
56. Relative effects of open biomass burning and open crop straw burning on haze formation over central and eastern China: modeling study driven by constrained emissions K. Mehmood et al. 10.5194/acp-20-2419-2020
57. Non-stop industries were the main source of air pollution during the 2020 coronavirus lockdown in the North China Plain Z. Li et al. 10.1007/s10311-021-01314-8
58. Modeling analysis of the seasonal characteristics of haze formation in Beijing X. Han et al. 10.5194/acp-14-10231-2014
59. Predicted impact of thermal power generation emission control measures in the Beijing-Tianjin-Hebei region on air pollution over Beijing, China L. Wang et al. 10.1038/s41598-018-19481-0
60. 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
61. Comparison of discrete, discrete-sectional, modal and moment models for aerosol dynamics simulations H. Zhang et al. 10.1080/02786826.2020.1723787
62. The Impact of the Direct Effect of Aerosols on Meteorology and Air Quality Using Aerosol Optical Depth Assimilation During the KORUS‐AQ Campaign J. Jung et al. 10.1029/2019JD030641
63. Implementation and initial application of new chemistry-aerosol options in WRF/Chem for simulating secondary organic aerosols and aerosol indirect effects for regional air quality K. Wang et al. 10.1016/j.atmosenv.2014.12.007
64. Water spray geoengineering to clean air pollution for mitigating haze in China’s cities S. Yu 10.1007/s10311-013-0444-0