44 citations as recorded by crossref.

1. Impact of mixing state and hygroscopicity on CCN activity of biomass burning aerosol in Amazonia M. Sánchez Gácita et al. 10.5194/acp-17-2373-2017
2. Modeling of Atmospheric Aerosol Properties in the São Paulo Metropolitan Area: Impact of Biomass Burning A. Vara‐Vela et al. 10.1029/2018JD028768
3. Cloud Condensation Nuclei Closure Study Using Airborne Measurements Over the Southern Great Plains G. Kulkarni et al. 10.1029/2022JD037964
4. Modeling the Effects of Explicit Urban Canopy Representation on the Development of Thunderstorms above a Tropical Mega City J. Flores-Rojas et al. 10.3390/atmos10070356
5. External and internal cloud condensation nuclei (CCN) mixtures: controlled laboratory studies of varying mixing states D. Vu et al. 10.5194/amt-12-4277-2019
6. First surface measurement of variation of Cloud Condensation Nuclei (CCN) concentration over the Pristine Himalayan region of Garhwal, Uttarakhand, India A. Gautam et al. 10.1016/j.atmosenv.2020.118123
7. In-cloud measurements highlight the role of aerosol hygroscopicity in cloud droplet formation O. Väisänen et al. 10.5194/acp-16-10385-2016
8. The role of hydration in atmospheric salt particle formation N. Myllys 10.1039/D3CP00049D
9. Vehicular Emission Ratios of VOCs in a Megacity Impacted by Extensive Ethanol Use: Results of Ambient Measurements in São Paulo, Brazil J. Brito et al. 10.1021/acs.est.5b03281
10. Size distribution and chemical composition of primary particles emitted during open biomass burning processes: Impacts on cloud condensation nuclei activation L. Chen et al. 10.1016/j.scitotenv.2019.03.419
11. Spatio-Temporal Variation of Critical Relative Humidity Based on Multiple Datasets W. Zhang et al. 10.3390/rs15174187
12. Ambient concentrations and insights on organic and elemental carbon dynamics in São Paulo, Brazil D. Monteiro dos Santos et al. 10.1016/j.atmosenv.2016.08.081
13. Lidar and Radar Signal Simulation: Stability Assessment of the Aerosol–Cloud Interaction Index C. Fajardo-Zambrano et al. 10.3390/rs14061333
14. Assessing Desert Dust Indirect Effects on Cloud Microphysics through a Cloud Nucleation Scheme: A Case Study over the Western Mediterranean K. Tsarpalis et al. 10.3390/rs12213473
15. Reconsideration of surface tension and phase state effects on cloud condensation nuclei activity based on the atomic force microscopy measurement C. Xiong et al. 10.5194/acp-22-16123-2022
16. Thirty-Five Years of Aerosol–PBAP in situ Research in Brazil: The Need to Think outside the Amazonian Box M. Mantoani et al. 10.3390/cli11010017
17. Influence of pollutants on activity of aerosol cloud condensation nuclei (CCN) during pollution and post-rain periods in Guangzhou, southern China J. Duan et al. 10.1016/j.scitotenv.2018.06.053
18. Influences of aerosol physiochemical properties and new particle formation on CCN activity from observation at a suburban site of China Y. Li et al. 10.1016/j.atmosres.2017.01.009
19. Is positive correlation between cloud droplet effective radius and aerosol optical depth over land due to retrieval artifacts or real physical processes? H. Jia et al. 10.5194/acp-19-8879-2019
20. Long-term observations of cloud condensation nuclei (CCN) characteristics of atmospheric aerosols: Results from a rural location in India T. Jayasri et al. 10.1016/j.atmosenv.2024.120630
21. On the competition among aerosol number, size and composition in predicting CCN variability: a multi-annual field study in an urbanized desert E. Crosbie et al. 10.5194/acp-15-6943-2015
22. Influence of Common Assumptions Regarding Aerosol Composition and Mixing State on Predicted CCN Concentration M. Mahish et al. 10.3390/atmos9020054
23. Exploring aerosol–cloud interaction using VOCALS-REx aircraft measurements H. Jia et al. 10.5194/acp-19-7955-2019
24. Long-term cloud condensation nuclei number concentration, particle number size distribution and chemical composition measurements at regionally representative observatories J. Schmale et al. 10.5194/acp-18-2853-2018
25. Opposite Aerosol Index‐Cloud Droplet Effective Radius Correlations Over Major Industrial Regions and Their Adjacent Oceans X. Ma et al. 10.1029/2018GL077562
26. Sink, Source or Something In‐Between? Net Effects of Precipitation on Aerosol Particle Populations T. Khadir et al. 10.1029/2023GL104325
27. Effect of vehicular traffic, remote sources and new particle formation on the activation properties of cloud condensation nuclei in the megacity of São Paulo, Brazil C. Souto-Oliveira et al. 10.5194/acp-16-14635-2016
28. The Role Played by the Bulk Hygroscopicity on the Prediction of the Cloud Condensation Nuclei Concentration Inside the Urban Aerosol Plume in Manaus, Brazil: From Measurements to Modeled Results G. Almeida 10.1016/j.atmosenv.2022.119517
29. Role of organic aerosols in CCN activation and closure over a rural background site in Western Ghats, India V. Singla et al. 10.1016/j.atmosenv.2017.03.037
30. Characterization of the temperature and humidity-dependent phase diagram of amorphous nanoscale organic aerosols N. Rothfuss & M. Petters 10.1039/C6CP08593H
31. Impact of monsoon on below cloud base aerosol hygroscopicity over a rain shadow region of India M. Varghese et al. 10.1016/j.atmosres.2023.106630
32. Spatiotemporal Variation in Composition of Submicron Particles in Santiago Metropolitan Region, Chile M. Tagle et al. 10.3389/fenvs.2018.00027
33. Characterization and parameterization of aerosol cloud condensation nuclei activation under different pollution conditions H. Che et al. 10.1038/srep24497
34. Characterization of aerosol chemical composition from urban pollution in Brazil and its possible impacts on the aerosol hygroscopicity and size distribution G. Almeida et al. 10.1016/j.atmosenv.2019.01.024
35. Characteristics of CCN activation and cloud microphysics over the east coast of India during the Northeast Monsoon onset M. Varghese et al. 10.1016/j.atmosres.2021.105589
36. Aerosol Indirect Effects on the Predicted Precipitation in a Global Weather Forecasting Model J. Kang et al. 10.3390/atmos10070392
37. Multi‐Source Data Based Investigation of Aerosol‐Cloud Interaction Over the North China Plain and North of the Yangtze Plain Y. Yang et al. 10.1029/2021JD035609
38. Semi-automated calibration procedure for cloud condensation nuclei (CCN) measurement R. Marreira & F. Pinheiro 10.1007/s42865-025-00094-1
39. Air quality forecasting system for Southeastern Brazil M. Andrade et al. 10.3389/fenvs.2015.00009
40. Aerosol processing and CCN formation of an intense Saharan dust plume during the EUCAARI 2008 campaign N. Bègue et al. 10.5194/acp-15-3497-2015
41. Characterization of Aerosol Hygroscopicity Over the Northeast Pacific Ocean: Impacts on Prediction of CCN and Stratocumulus Cloud Droplet Number Concentrations B. Schulze et al. 10.1029/2020EA001098
42. Vertical profile of aerosol characteristics including activation over a rain shadow region in India M. Varghese et al. 10.1016/j.atmosenv.2021.118653
43. Measurement report: Distinct size dependence and diurnal variation in organic aerosol hygroscopicity, volatility, and cloud condensation nuclei activity at a rural site in the Pearl River Delta (PRD) region, China M. Cai et al. 10.5194/acp-22-8117-2022
44. Aerosol distribution over Brazil with ECHAM-HAM and CAM5-MAM3 simulations and its comparison with ground-based and satellite data D. Alvim et al. 10.1016/j.apr.2017.01.008