56 citations as recorded by crossref.

1. Multifaceted aerosol effects on precipitation P. Stier et al. https://doi.org/10.1038/s41561-024-01482-6
2. Evaluating Arctic clouds modelled with the Unified Model and Integrated Forecasting System G. McCusker et al. https://doi.org/10.5194/acp-23-4819-2023
3. How important are aerosol–fog interactions for the successful modelling of nocturnal radiation fog? C. Poku et al. https://doi.org/10.1002/wea.3503
4. Aerosol indirect effects on the temperature–precipitation scaling N. Da Silva et al. https://doi.org/10.5194/acp-20-6207-2020
5. The temperature dependence of ice-nucleating particle concentrations affects the radiative properties of tropical convective cloud systems R. Hawker et al. https://doi.org/10.5194/acp-21-5439-2021
6. Cloud-based assessment of aerosol dynamics and population exposure in Southeast Asia using MERRA-2 and AERONET integration Z. Zheng et al. https://doi.org/10.1016/j.atmosenv.2026.121848
7. Distinct effects of fine and coarse aerosols on microphysical processes of shallow-precipitation systems in summer over southern China F. Chen et al. https://doi.org/10.5194/acp-25-1587-2025
8. Aerosol–cloud interaction in the atmospheric chemistry model GRAPES_Meso5.1/CUACE and its impacts on mesoscale numerical weather prediction under haze pollution conditions in Jing–Jin–Ji in China W. Zhang et al. https://doi.org/10.5194/acp-22-15207-2022
9. Composited structure of non‐precipitating shallow cumulus clouds J. Gu et al. https://doi.org/10.1002/qj.4101
10. Impact of cloud microphysical factors on the track prediction of recurved tropical cyclone Vayu (2019) in a convective‐scale model S. Mohandas et al. https://doi.org/10.1002/qj.5047
11. Sensitivity of mixed-phase moderately deep convective clouds to parameterizations of ice formation – an ensemble perspective A. Miltenberger & P. Field https://doi.org/10.5194/acp-21-3627-2021
12. Cloud Microphysical Factors Affecting Simulations of Deep Convection During the Presummer Rainy Season in Southern China K. Furtado et al. https://doi.org/10.1029/2017JD028192
13. Response of Arctic mixed-phase clouds to aerosol perturbations under different surface forcings G. Eirund et al. https://doi.org/10.5194/acp-19-9847-2019
14. Detection and attribution of aerosol–cloud interactions in large-domain large-eddy simulations with the ICOsahedral Non-hydrostatic model M. Costa-Surós et al. https://doi.org/10.5194/acp-20-5657-2020
15. Contribution of regional aerosol nucleation to low-level CCN in an Amazonian deep convective environment: results from a regionally nested global model X. Wang et al. https://doi.org/10.5194/acp-23-4431-2023
16. Microphysical fingerprints in anvil cloud albedo D. Finney et al. https://doi.org/10.5194/acp-25-10907-2025
17. Aerosol–cloud interactions in mixed-phase convective clouds – Part 2: Meteorological ensemble A. Miltenberger et al. https://doi.org/10.5194/acp-18-10593-2018
18. Weakening of tropical sea breeze convective systems through interactions of aerosol, radiation, and soil moisture J. Park & S. van den Heever https://doi.org/10.5194/acp-22-10527-2022
19. Vertical redistribution of moisture and aerosol in orographic mixed-phase clouds A. Miltenberger et al. https://doi.org/10.5194/acp-20-7979-2020
20. Development of aerosol activation in the double-moment Unified Model and evaluation with CLARIFY measurements H. Gordon et al. https://doi.org/10.5194/acp-20-10997-2020
21. Modeling the impact of wind shear on aerosol for flood prevention and drought monitoring over Ethiopia M. Wondie et al. https://doi.org/10.1007/s12517-022-10895-9
22. Contrasting Responses of Idealised and Realistic Simulations of Shallow Cumuli to Aerosol Perturbations G. Spill et al. https://doi.org/10.1029/2021GL094137
23. Is a more physical representation of aerosol activation needed for simulations of fog? C. Poku et al. https://doi.org/10.5194/acp-21-7271-2021
24. Weak influence of anthropogenic emissions on aerosol, cloud, and rain in the wet season of the Amazon rainforest X. Wang et al. https://doi.org/10.5194/acp-25-9685-2025
25. Model emulation to understand the joint effects of ice-nucleating particles and secondary ice production on deep convective anvil cirrus R. Hawker et al. https://doi.org/10.5194/acp-21-17315-2021
26. A strong statistical link between aerosol indirect effects and the self-similarity of rainfall distributions K. Furtado & P. Field https://doi.org/10.5194/acp-22-3391-2022
27. Kilometer‐Scale Simulations of Trade‐Wind Cumulus Capture Processes of Mesoscale Organization L. Saffin et al. https://doi.org/10.1029/2022MS003295
28. Memory Properties in Cloud‐Resolving Simulations of the Diurnal Cycle of Deep Convection C. Daleu et al. https://doi.org/10.1029/2019MS001897
29. A consistent coupling of two‐moment microphysics and bulk ice optical properties, and its impact on radiation in a regional weather model A. Baran et al. https://doi.org/10.1002/qj.5025
30. Cloud microphysical response to entrainment of dry air containing aerosols J. Yeom et al. https://doi.org/10.1038/s41612-024-00889-7
31. Impacts of Aerosol Optical Depth on Different Types of Cloud Macrophysical and Microphysical Properties over East Asia X. Han et al. https://doi.org/10.3390/rs17213535
32. Investigation of aerosol effects on a deep convection case in Southeast China with budget analysis of hydrometeor mass and latent heat Y. Wu & Y. Peng https://doi.org/10.1016/j.atmosres.2022.106275
33. The potential use of operational radar network data to evaluate the representation of convective storms in NWP models T. Stein et al. https://doi.org/10.1002/qj.3793
34. Indications of a Decrease in the Depth of Deep Convective Cores with Increasing Aerosol Concentration during the CACTI Campaign P. Veals et al. https://doi.org/10.1175/JAS-D-21-0119.1
35. Cloud Ice Processes Enhance Spatial Scales of Organization in Arctic Stratocumulus G. Eirund et al. https://doi.org/10.1029/2019GL084959
36. A model intercomparison of CCN-limited tenuous clouds in the high Arctic R. Stevens et al. https://doi.org/10.5194/acp-18-11041-2018
37. Seasonal variability, sources, and parameterization of ice-nucleating particles in the Rocky Mountain region: importance of soil dust and biological contributions R. Zhou et al. https://doi.org/10.5194/acp-26-1515-2026
38. Ice‐Nucleating Particles That Impact Clouds and Climate: Observational and Modeling Research Needs S. Burrows et al. https://doi.org/10.1029/2021RG000745
39. Impact of Aerosols on Convective System Over the North China Plain: A Numerical Case Study in Autumn Z. Xiao et al. https://doi.org/10.1029/2022JD037465
40. The decomposition of cloud–aerosol forcing in the UK Earth System Model (UKESM1) D. Grosvenor & K. Carslaw https://doi.org/10.5194/acp-20-15681-2020
41. The role of droplet sedimentation in the evolution of low-level clouds over southern West Africa C. Dearden et al. https://doi.org/10.5194/acp-18-14253-2018
42. Modeling the formation of aerosols and their interactions with weather and climate: critical review and future perspectives Y. Xiong et al. https://doi.org/10.1007/s11783-025-2063-y
43. Evaluating the CoMorph‐A parametrization using idealized simulations of the two‐way coupling between convection and large‐scale dynamics C. Daleu et al. https://doi.org/10.1002/qj.4547
44. Evaluation of the Bulk Mass Flux Formulation Using Large-Eddy Simulations J. Gu et al. https://doi.org/10.1175/JAS-D-19-0224.1
45. Simulations of the impact of cloud condensation nuclei and ice-nucleating particles perturbations on the microphysics and radar reflectivity factor of stratiform mixed-phase clouds J. Lee et al. https://doi.org/10.5194/acp-24-5737-2024
46. Impacts of Varying Concentrations of Cloud Condensation Nuclei on Deep Convective Cloud Updrafts—A Multimodel Assessment P. Marinescu et al. https://doi.org/10.1175/JAS-D-20-0200.1
47. Subgrid-scale aerosol–cloud interaction in the atmospheric chemistry model CMA_Meso5.1/CUACE and its impacts on mesoscale meteorology prediction W. Zhang et al. https://doi.org/10.5194/acp-25-9005-2025
48. Aerosol midlatitude cyclone indirect effects in observations and high-resolution simulations D. McCoy et al. https://doi.org/10.5194/acp-18-5821-2018
49. Aerosol-induced modification of organised convection and top-of-atmosphere radiation N. Nishant et al. https://doi.org/10.1038/s41612-019-0089-1
50. Deep Convective Microphysics Experiment (DCMEX) coordinated aircraft and ground observations: microphysics, aerosol, and dynamics during cumulonimbus development D. Finney et al. https://doi.org/10.5194/essd-16-2141-2024
51. The effects of cloud–aerosol interaction complexity on simulations of presummer rainfall over southern China K. Furtado et al. https://doi.org/10.5194/acp-20-5093-2020
52. Observations of the microphysical evolution of convective clouds in the southwest of the United Kingdom R. Jackson et al. https://doi.org/10.5194/acp-18-15329-2018
53. Modern methods to explore the dynamics between aerosols and convective precipitation: A critical review S. Metangley et al. https://doi.org/10.1016/j.dynatmoce.2024.101465
54. Analysis of aerosol cloud interactions with a consistent signal of meteorology and other influencing parameters K. Anwar et al. https://doi.org/10.1016/j.atmosres.2022.106241
55. Precipitation Efficiency and its Role in Cloud-Radiative Feedbacks to Climate Variability C. SUI et al. https://doi.org/10.2151/jmsj.2020-024
56. Effects of aerosol in simulations of realistic shallow cumulus cloud fields in a large domain G. Spill et al. https://doi.org/10.5194/acp-19-13507-2019