87 citations as recorded by crossref.

1. Response of Arctic mixed-phase clouds to aerosol perturbations under different surface forcings G. Eirund et al. 10.5194/acp-19-9847-2019
2. Cloud condensation nuclei characteristics during the Indian summer monsoon over a rain-shadow region V. Jayachandran et al. 10.5194/acp-20-7307-2020
3. Tropical and Boreal Forest – Atmosphere Interactions: A Review P. Artaxo et al. 10.16993/tellusb.34
4. Assessment of CALIOP-Derived CCN Concentrations by In Situ Surface Measurements G. Choudhury & M. Tesche 10.3390/rs14143342
5. Ice nucleation by aerosols from anthropogenic pollution B. Zhao et al. 10.1038/s41561-019-0389-4
6. A central arctic extreme aerosol event triggered by a warm air-mass intrusion L. Dada et al. 10.1038/s41467-022-32872-2
7. Direct measurement of the deposition of submicron soot particles on leaves of Platanus acerifolia tree M. Tao et al. 10.1039/D2EM00328G
8. Annual cycle of hygroscopic properties and mixing state of the suburban aerosol in Athens, Greece C. Spitieri et al. 10.5194/acp-23-235-2023
9. Impact of urban aerosols on the cloud condensation activity using a clustering model F. Rejano et al. 10.1016/j.scitotenv.2022.159657
10. Overview of the Antarctic Circumnavigation Expedition: Study of Preindustrial-like Aerosols and Their Climate Effects (ACE-SPACE) J. Schmale et al. 10.1175/BAMS-D-18-0187.1
11. Long-term profiling of aerosol light extinction, particle mass, cloud condensation nuclei, and ice-nucleating particle concentration over Dushanbe, Tajikistan, in Central Asia J. Hofer et al. 10.5194/acp-20-4695-2020
12. Analyzing the Characteristics of Cloud Condensation Nuclei (CCN) in Hebei, China Using Multi-Year Observation and Reanalysis Data H. Wang et al. 10.3390/atmos13030468
13. Retrieval and validation of cloud condensation nuclei from satellite and airborne measurements over the Indian Monsoon region A. Aravindhavel et al. 10.1016/j.atmosres.2023.106802
14. Role of Aerosol Physicochemical Properties on Aerosol Hygroscopicity and Cloud Condensation Nuclei Activity in a Tropical Coastal Atmosphere A. T. C. et al. 10.1021/acsearthspacechem.2c00044
15. A New CCN Number Concentration Prediction Method Based on Multiple Linear Regression and Non‐Negative Matrix Factorization: 1. Development, Validation, and Comparison Using the Measurement Data Over the Korean Peninsula M. Park et al. 10.1029/2023JD039189
16. Highly Hygroscopic Aerosols Facilitate Summer and Early‐Autumn Cloud Formation at Extremely Low Concentrations Over the Central Arctic Ocean P. Duplessis et al. 10.1029/2023JD039159
17. A long-term study of cloud residuals from low-level Arctic clouds L. Karlsson et al. 10.5194/acp-21-8933-2021
18. A multiple-charging correction algorithm for a broad-supersaturation scanning cloud condensation nuclei (BS2-CCN) system N. Kim et al. 10.5194/amt-16-2771-2023
19. Hygroscopic properties and cloud condensation nuclei activity of atmospheric aerosols under the influences of Asian continental outflow and new particle formation at a coastal site in eastern Asia H. Cheung et al. 10.5194/acp-20-5911-2020
20. Cloud condensation nuclei concentrations derived from the CAMS reanalysis K. Block et al. 10.5194/essd-16-443-2024
21. Controls on surface aerosol particle number concentrations and aerosol-limited cloud regimes over the central Greenland Ice Sheet H. Guy et al. 10.5194/acp-21-15351-2021
22. Estimating cloud condensation nuclei number concentrations using aerosol optical properties: role of particle number size distribution and parameterization Y. Shen et al. 10.5194/acp-19-15483-2019
23. Comparison of particle number size distribution trends in ground measurements and climate models V. Leinonen et al. 10.5194/acp-22-12873-2022
24. Investigating the contribution of grown new particles to cloud condensation nuclei with largely varying preexisting particles – Part 1: Observational data analysis X. Wei et al. 10.5194/acp-23-15325-2023
25. Nonturbulent Liquid‐Bearing Polar Clouds: Observed Frequency of Occurrence and Simulated Sensitivity to Gravity Waves I. Silber et al. 10.1029/2020GL087099
26. Automated identification of local contamination in remote atmospheric composition time series I. Beck et al. 10.5194/amt-15-4195-2022
27. Evaluation of global simulations of aerosol particle and cloud condensation nuclei number, with implications for cloud droplet formation G. Fanourgakis et al. 10.5194/acp-19-8591-2019
28. Source attribution of cloud condensation nuclei and their impact on stratocumulus clouds and radiation in the south-eastern Atlantic H. Che et al. 10.5194/acp-22-10789-2022
29. 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
30. Modular Multiplatform Compatible Air Measurement System (MoMuCAMS): a new modular platform for boundary layer aerosol and trace gas vertical measurements in extreme environments R. Pohorsky et al. 10.5194/amt-17-731-2024
31. Impact of dry intrusion events on the composition and mixing state of particles during the winter Aerosol and Cloud Experiment in the Eastern North Atlantic (ACE-ENA) J. Tomlin et al. 10.5194/acp-21-18123-2021
32. Cloud Condensation Nuclei Closure Study Using Airborne Measurements Over the Southern Great Plains G. Kulkarni et al. 10.1029/2022JD037964
33. Revisiting the atmospheric particles: Connecting lines and changing paradigms H. Rohra et al. 10.1016/j.scitotenv.2022.156676
34. Vertical profiles of cloud condensation nuclei number concentration and its empirical estimate from aerosol optical properties over the North China Plain R. Zhang et al. 10.5194/acp-22-14879-2022
35. Circum-Antarctic abundance and properties of CCN and INPs C. Tatzelt et al. 10.5194/acp-22-9721-2022
36. Using Novel Molecular-Level Chemical Composition Observations of High Arctic Organic Aerosol for Predictions of Cloud Condensation Nuclei K. Siegel et al. 10.1021/acs.est.2c02162
37. Non-Monotonic Dependencies of Cloud Microphysics and Precipitation on Aerosol Loading in Deep Convective Clouds: A Case Study Using the WRF Model with Bin Microphysics Y. Jeon et al. 10.3390/atmos9110434
38. Predicting cloud condensation nuclei number concentration based on conventional measurements of aerosol properties in the North China Plain Y. Zhang et al. 10.1016/j.scitotenv.2020.137473
39. Characterization of aerosol hygroscopicity, mixing state, and CCN activity at a suburban site in the central North China Plain Y. Wang et al. 10.5194/acp-18-11739-2018
40. Response of particle number concentrations to the clean air action plan: lessons from the first long-term aerosol measurements in a typical urban valley in western China S. Zhao et al. 10.5194/acp-21-14959-2021
41. Advection of Biomass Burning Aerosols towards the Southern Hemispheric Mid-Latitude Station of Punta Arenas as Observed with Multiwavelength Polarization Raman Lidar A. Floutsi et al. 10.3390/rs13010138
42. Influence of aerosol physicochemical properties on CCN activation during the Asian winter monsoon at the summit of Mt. Lu, China J. Duan et al. 10.1016/j.atmosenv.2023.119592
43. Frequent new particle formation over the high Arctic pack ice by enhanced iodine emissions A. Baccarini et al. 10.1038/s41467-020-18551-0
44. Overview: Recent advances in the understanding of the northern Eurasian environments and of the urban air quality in China – a Pan-Eurasian Experiment (PEEX) programme perspective H. Lappalainen et al. 10.5194/acp-22-4413-2022
45. Global organic and inorganic aerosol hygroscopicity and its effect on radiative forcing M. Pöhlker et al. 10.1038/s41467-023-41695-8
46. Long-term deposition and condensation ice-nucleating particle measurements from four stations across the globe J. Schrod et al. 10.5194/acp-20-15983-2020
47. Dimethyl Sulfide‐Induced Increase in Cloud Condensation Nuclei in the Arctic Atmosphere K. Park et al. 10.1029/2021GB006969
48. The SMART‐s Trace Gas and Aerosol Inversions: I. Algorithm Theoretical Basis for Column Property Retrievals U. Jeong et al. 10.1029/2019JD032088
49. Large contribution of organics to condensational growth and formation of cloud condensation nuclei (CCN) in the remote marine boundary layer G. Zheng et al. 10.5194/acp-20-12515-2020
50. Aerosol activation characteristics and prediction at the central European ACTRIS research station of Melpitz, Germany Y. Wang et al. 10.5194/acp-22-15943-2022
51. The impact of the atmospheric turbulence-development tendency on new particle formation: a common finding on three continents H. Wu et al. 10.1093/nsr/nwaa157
52. The variation in the particle number size distribution during the rainfall: wet scavenging and air mass changing G. Niu et al. 10.5194/acp-23-7521-2023
53. Biomass-burning smoke's properties and its interactions with marine stratocumulus clouds in WRF-CAM5 and southeastern Atlantic field campaigns C. Howes et al. 10.5194/acp-23-13911-2023
54. Cluster Analysis of Submicron Particle Number Size Distributions at the SORPES Station in the Yangtze River Delta of East China L. Chen et al. 10.1029/2020JD034004
55. On the correlation between hygroscopic properties and chemical composition of cloud condensation nuclei obtained from the chemical aging of soot particles with O3 and SO2 J. Wu et al. 10.1016/j.scitotenv.2023.167745
56. The impact of aerosol size-dependent hygroscopicity and mixing state on the cloud condensation nuclei potential over the north-east Atlantic W. Xu et al. 10.5194/acp-21-8655-2021
57. Overview of the MOSAiC expedition: Atmosphere M. Shupe et al. 10.1525/elementa.2021.00060
58. Characterization of Aerosol Physical and Optical Properties at the Observatoire Pérenne de l’Environnement (OPE) Site A. Farah et al. 10.3390/atmos11020172
59. Application of SERS on the chemical speciation of individual Aitken mode particles after condensational growth R. Kunihisa et al. 10.1080/02786826.2020.1730298
60. Altitude profiles of cloud condensation nuclei characteristics across the Indo-Gangetic Plain prior to the onset of the Indian summer monsoon V. Jayachandran et al. 10.5194/acp-20-561-2020
61. Process-evaluation of forest aerosol-cloud-climate feedback shows clear evidence from observations and large uncertainty in models S. Blichner et al. 10.1038/s41467-024-45001-y
62. Activation properties of aerosol particles as cloud condensation nuclei at urban and high-altitude remote sites in southern Europe F. Rejano et al. 10.1016/j.scitotenv.2020.143100
63. Aerosol–Cloud Interaction at the Summit of Mt. Fuji, Japan: Factors Influencing Cloud Droplet Number Concentrations Y. Iwamoto et al. 10.3390/app11188439
64. Long-range transported North American wildfire aerosols observed in marine boundary layer of eastern North Atlantic G. Zheng et al. 10.1016/j.envint.2020.105680
65. Measurement report: High Arctic aerosol hygroscopicity at sub- and supersaturated conditions during spring and summer A. Massling et al. 10.5194/acp-23-4931-2023
66. Method to retrieve cloud condensation nuclei number concentrations using lidar measurements W. Tan et al. 10.5194/amt-12-3825-2019
67. Cloud activation properties of aerosol particles in a continental Central European urban environment I. Salma et al. 10.5194/acp-21-11289-2021
68. Cloud condensation nuclei properties of South Asian outflow over the northern Indian Ocean during winter V. Nair et al. 10.5194/acp-20-3135-2020
69. The Effect of Using a New Parameterization of Nucleation in the WRF-Chem Model on New Particle Formation in a Passive Volcanic Plume S. Arghavani et al. 10.3390/atmos13010015
70. Mechanisms of soot-aggregate restructuring and compaction J. Corbin et al. 10.1080/02786826.2022.2137385
71. Ensembles of Global Climate Model Variants Designed for the Quantification and Constraint of Uncertainty in Aerosols and Their Radiative Forcing M. Yoshioka et al. 10.1029/2019MS001628
72. A first global height-resolved cloud condensation nuclei data set derived from spaceborne lidar measurements G. Choudhury & M. Tesche 10.5194/essd-15-3747-2023
73. In-situ observations reveal weak hygroscopicity in the Southern Tibetan Plateau: implications for aerosol activation and indirect effects Y. Wang et al. 10.1038/s41612-024-00629-x
74. Contribution of sea spray to aerosol size distributions measured in a South African coastal zone F. February et al. 10.1016/j.atmosres.2021.105790
75. Significance of the organic aerosol driven climate feedback in the boreal area T. Yli-Juuti et al. 10.1038/s41467-021-25850-7
76. Wetting properties of fresh urban soot particles: Evaluation based on critical supersaturation and observation of surface trace materials S. Ueda et al. 10.1016/j.scitotenv.2021.152274
77. Cloud droplet activation properties and scavenged fraction of black carbon in liquid-phase clouds at the high-alpine research station Jungfraujoch (3580 m a.s.l.) G. Motos et al. 10.5194/acp-19-3833-2019
78. Shipborne observations reveal contrasting Arctic marine, Arctic terrestrial and Pacific marine aerosol properties J. Park et al. 10.5194/acp-20-5573-2020
79. Seasonality of the particle number concentration and size distribution: a global analysis retrieved from the network of Global Atmosphere Watch (GAW) near-surface observatories C. Rose et al. 10.5194/acp-21-17185-2021
80. Instrument artifacts lead to uncertainties in parameterizations of cloud condensation nucleation J. Mirrielees & S. Brooks 10.5194/amt-11-6389-2018
81. 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
82. Long-Term Characterization of Submicron Atmospheric Particles in an Urban Background Site in Southern Italy A. Dinoi et al. 10.3390/atmos11040334
83. The dual-field-of-view polarization lidar technique: a new concept in monitoring aerosol effects in liquid-water clouds – theoretical framework C. Jimenez et al. 10.5194/acp-20-15247-2020
84. A New CCN Number Concentration Prediction Method Based on Multiple Linear Regression and Non‐Negative Matrix Factorization: 2. Application to Obtain CCN Spectra in and Around the Korean Peninsula M. Park et al. 10.1029/2023JD039234
85. On the submicron aerosol distributions and CCN activity in and around the Korean Peninsula measured onboard the NASA DC-8 research aircraft during the KORUS-AQ field campaign M. Park et al. 10.1016/j.atmosres.2020.105004
86. Fog Water: A General Review of Its Physical and Chemical Aspects D. Khoury et al. 10.3390/environments10120224
87. Planetary Boundary Layer Height Modulates Aerosol—Water Vapor Interactions During Winter in the Megacity of Delhi S. S. Raj et al. 10.1029/2021JD035681