Articles | Volume 13, issue 6
https://doi.org/10.5194/gmd-13-2663-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-2663-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
17 Jun 2020
Development and technical paper |
| 17 Jun 2020
| 17 Jun 2020
H2SO4–H2O binary and H2SO4–H2O–NH3 ternary homogeneous and ion-mediated nucleation: lookup tables version 1.0 for 3-D modeling application
Atmospheric Sciences Research Center, University at Albany, Albany,
New York, USA
Alexey B. Nadykto
Atmospheric Sciences Research Center, University at Albany, Albany,
New York, USA
Department of Applied Mathematics, Moscow State University of
Technology (STANKIN), Moscow, Russia
National Research Nuclear University MEPhI (Moscow Engineering
Physics Institute), Department of General Physics, Moscow, Russia
Atmospheric Sciences Research Center, University at Albany, Albany,
New York, USA
Jason Herb
Atmospheric Sciences Research Center, University at Albany, Albany,
New York, USA
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- An indicator for sulfuric acid–amine nucleation in atmospheric environments R. Cai et al. 10.1080/02786826.2021.1922598
- Sensitivity of predicted ultrafine particle size distributions in Europe to different nucleation rate parameterizations using PMCAMx-UF v2.2 D. Patoulias et al. 10.5194/gmd-18-1103-2025
- Environmental exposure disparities in ultrafine particles and PM2.5 by urbanicity and socio-demographics in New York state, 2013–2020 A. Nair et al. 10.1016/j.envres.2023.117246
- Analysis of new particle formation events and comparisons to simulations of particle number concentrations based on GEOS-Chem–advanced particle microphysics in Beijing, China K. Wang et al. 10.5194/acp-23-4091-2023
- Implementing detailed nucleation predictions in the Earth system model EC-Earth3.3.4: sulfuric acid–ammonia nucleation C. Svenhag et al. 10.5194/gmd-17-4923-2024
- On Nucleation Pathways and Particle Size Distribution Evolutions in Stratospheric Aircraft Exhaust Plumes with H2SO4 Enhancement F. Yu et al. 10.1021/acs.est.3c08408
- Improved estimation of new particle formation rate for air quality model in a polluted region of South Korea Y. Kim et al. 10.1016/j.atmosenv.2025.121237
- Exploring the use of ground-based remote sensing to identify new particle formation events: A case study in the Beijing area Y. Zhang et al. 10.1016/j.scitotenv.2024.176693
- On the Ship Particle Number Emission Index: Size‐Resolved Microphysics and Key Controlling Parameters J. Mao et al. 10.1029/2020JD034427
- Description and evaluation of the community aerosol dynamics model MAFOR v2.0 M. Karl et al. 10.5194/gmd-15-3969-2022
- Nonagricultural emissions enhance dimethylamine and modulate urban atmospheric nucleation Y. Chang et al. 10.1016/j.scib.2023.05.033
- The potential role of organics in new particle formation and initial growth in the remote tropical upper troposphere A. Kupc et al. 10.5194/acp-20-15037-2020
- Use of Machine Learning to Reduce Uncertainties in Particle Number Concentration and Aerosol Indirect Radiative Forcing Predicted by Climate Models F. Yu et al. 10.1029/2022GL098551
- Current and future machine learning approaches for modeling atmospheric cluster formation J. Kubečka et al. 10.1038/s43588-023-00435-0
- A Monte Carlo approach to study the effect of ions on the nucleation of sulfuric acid–water clusters D. Krog et al. 10.1002/jcc.27076
- J-GAIN v1.1: a flexible tool to incorporate aerosol formation rates obtained by molecular models into large-scale models D. Yazgi & T. Olenius 10.5194/gmd-16-5237-2023
- Importance of microphysical settings for climate forcing by stratospheric SO2 injections as modeled by SOCOL-AERv2 S. Vattioni et al. 10.5194/gmd-17-4181-2024
- Measurement report: Sulfuric acid nucleation and experimental conditions in a photolytic flow reactor D. Hanson et al. 10.5194/acp-21-1987-2021
- Toward a Holistic Understanding of the Formation and Growth of Atmospheric Molecular Clusters: A Quantum Machine Learning Perspective J. Elm 10.1021/acs.jpca.0c09762
- Freeze-thaw process boosts penguin-derived NH3 emissions and enhances climate-relevant particles formation in Antarctica R. Tian et al. 10.1038/s41612-024-00873-1
Latest update: 04 Jul 2025
Short summary
Secondary particles formed via nucleation have important implications for air quality and climate. Here we describe nucleation rate lookup tables for four different nucleation mechanisms that can be readily used in chemistry transport and climate models. The nucleation rates predicted have been assessed against state-of-the-art laboratory measurements. The lookup tables cover a wide range of key parameters controlling binary, ternary, and ion-mediated nucleation in the Earth's atmosphere.
Secondary particles formed via nucleation have important implications for air quality and...
