31 citations as recorded by crossref.

1. The potential role of methanesulfonic acid (MSA) in aerosol formation and growth and the associated radiative forcings A. Hodshire et al. https://doi.org/10.5194/acp-19-3137-2019
2. J-GAIN v1.1: a flexible tool to incorporate aerosol formation rates obtained by molecular models into large-scale models D. Yazgi & T. Olenius https://doi.org/10.5194/gmd-16-5237-2023
3. The importance of interstitial particle scavenging by cloud droplets in shaping the remote aerosol size distribution and global aerosol-climate effects J. Pierce et al. https://doi.org/10.5194/acp-15-6147-2015
4. Implementing a sectional scheme for early aerosol growth from new particle formation in the Norwegian Earth System Model v2: comparison to observations and climate impacts S. Blichner et al. https://doi.org/10.5194/gmd-14-3335-2021
5. A sulfuric acid nucleation potential model for the atmosphere J. Johnson & C. Jen https://doi.org/10.5194/acp-22-8287-2022
6. Current state of aerosol nucleation parameterizations for air-quality and climate modeling K. Semeniuk & A. Dastoor https://doi.org/10.1016/j.atmosenv.2018.01.039
7. Reassessing the relative role of anthropogenic aerosols and natural decadal variability in driving the mid-twentieth century global “cooling”: a focus on the latitudinal gradient of tropospheric temperature C. Diao & Y. Xu https://doi.org/10.1007/s00382-022-06235-y
8. Vertical profiles of light absorption and scattering associated with black carbon particle fractions in the springtime Arctic above 79° N W. Leaitch et al. https://doi.org/10.5194/acp-20-10545-2020
9. Simulating the radiative forcing of oceanic dimethylsulfide (DMS) in Asia based on machine learning estimates J. Zhao et al. https://doi.org/10.5194/acp-22-9583-2022
10. Improved estimates of preindustrial biomass burning reduce the magnitude of aerosol climate forcing in the Southern Hemisphere P. Liu et al. https://doi.org/10.1126/sciadv.abc1379
11. Reduced effective radiative forcing from cloud–aerosol interactions (ERFaci) with improved treatment of early aerosol growth in an Earth system model S. Blichner et al. https://doi.org/10.5194/acp-21-17243-2021
12. Modeling the Formation of Organic Compounds across Full Volatility Ranges and Their Contribution to Nanoparticle Growth in a Polluted Atmosphere Z. Li et al. https://doi.org/10.1021/acs.est.3c06708
13. Ambient Particulate Matter Size Distributions Drive Regional and Global Variability in Particle Deposition in the Respiratory Tract J. Kodros et al. https://doi.org/10.1029/2018GH000145
14. Molecular-resolution simulations of new particle formation: Evaluation of common assumptions made in describing nucleation in aerosol dynamics models T. Olenius & I. Riipinen https://doi.org/10.1080/02786826.2016.1262530
15. The contribution of coral-reef-derived dimethyl sulfide to aerosol burden over the Great Barrier Reef: a modelling study S. Fiddes et al. https://doi.org/10.5194/acp-22-2419-2022
16. Atmospheric nanoparticle growth D. Stolzenburg et al. https://doi.org/10.1103/RevModPhys.95.045002
17. Size-resolved mixing state of black carbon in the Canadian high Arctic and implications for simulated direct radiative effect J. Kodros et al. https://doi.org/10.5194/acp-18-11345-2018
18. Analysis of feedbacks between nucleation rate, survival probability and cloud condensation nuclei formation D. Westervelt et al. https://doi.org/10.5194/acp-14-5577-2014
19. New Parameterizations for Neutral and Ion‐Induced Sulfuric Acid‐Water Particle Formation in Nucleation and Kinetic Regimes A. Määttänen et al. https://doi.org/10.1002/2017JD027429
20. Modeling particle nucleation and growth over northern California during the 2010 CARES campaign A. Lupascu et al. https://doi.org/10.5194/acp-15-12283-2015
21. Contribution of expanded marine sulfur chemistry to the seasonal variability of dimethyl sulfide oxidation products and size-resolved sulfate aerosol L. Tashmim et al. https://doi.org/10.5194/acp-24-3379-2024
22. Particle Size as a Key Driver of Black Carbon Wet Removal: Advances and Insights Y. Qiao et al. https://doi.org/10.3390/atmos16111309
23. Uncertainties in global aerosols and climate effects due to biofuel emissions J. Kodros et al. https://doi.org/10.5194/acp-15-8577-2015
24. Machine Learning to Predict the Global Distribution of Aerosol Mixing State Metrics M. Hughes et al. https://doi.org/10.3390/atmos9010015
25. Factors controlling marine aerosol size distributions and their climate effects over the northwest Atlantic Ocean region B. Croft et al. https://doi.org/10.5194/acp-21-1889-2021
26. Processes controlling the annual cycle of Arctic aerosol number and size distributions B. Croft et al. https://doi.org/10.5194/acp-16-3665-2016
27. Evaluation of the global aerosol microphysical ModelE2-TOMAS model against satellite and ground-based observations Y. Lee et al. https://doi.org/10.5194/gmd-8-631-2015
28. The aerosol radiative effects of uncontrolled combustion of domestic waste J. Kodros et al. https://doi.org/10.5194/acp-16-6771-2016
29. New Particle Formation in the Atmosphere: From Molecular Clusters to Global Climate S. Lee et al. https://doi.org/10.1029/2018JD029356
30. Changes in global DMS production driven by increased CO2 levels and its impact on radiative forcing J. Zhao et al. https://doi.org/10.1038/s41612-024-00563-y
31. Extrapolating particle concentration along the size axis in the nanometer size range requires discrete rate equations T. Olenius et al. https://doi.org/10.1016/j.jaerosci.2015.07.004