Articles | Volume 7, issue 17
https://doi.org/10.5194/acp-7-4625-2007
© Author(s) 2007. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
https://doi.org/10.5194/acp-7-4625-2007
© Author(s) 2007. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
12 Sep 2007
On the contribution of Aitken mode particles to cloud droplet populations at continental background areas – a parametric sensitivity study
T. Anttila
Finnish Meteorological Institute, Research and Development, P.O. Box 503, 00101 Finland
V.-M. Kerminen
Finnish Meteorological Institute, Research and Development, P.O. Box 503, 00101 Finland
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Cited
16 citations as recorded by crossref.
- Modeling study on aerosol dynamical processes regulating new particle and CCN formation at clean continental areas T. Anttila & V. Kerminen https://doi.org/10.1029/2008GL033371
- Inverse modeling of cloud-aerosol interactions – Part 1: Detailed response surface analysis D. Partridge et al. https://doi.org/10.5194/acp-11-7269-2011
- Influences of aerosol physiochemical properties and new particle formation on CCN activity from observation at a suburban site of China Y. Li et al. https://doi.org/10.1016/j.atmosres.2017.01.009
- Do organics contribute to small particle formation in the Amazonian upper troposphere? A. Ekman et al. https://doi.org/10.1029/2008GL034970
- Cloud droplet formation at the base of tropical convective clouds: closure between modeling and measurement results of ACRIDICON–CHUVA R. Braga et al. https://doi.org/10.5194/acp-21-17513-2021
- Metamodeling of Droplet Activation for Global Climate Models D. Rothenberg & C. Wang https://doi.org/10.1175/JAS-D-15-0223.1
- The role of the particle size distribution in assessing aerosol composition effects on simulated droplet activation D. Ward et al. https://doi.org/10.5194/acp-10-5435-2010
- Variations of cloud condensation nuclei (CCN) and aerosol activity during fog–haze episode: a case study from Shanghai C. Leng et al. https://doi.org/10.5194/acp-14-12499-2014
- A Method for Forecasting Cloud Condensation Nuclei Using Predictions of Aerosol Physical and Chemical Properties from WRF/Chem D. Ward & W. Cotton https://doi.org/10.1175/2011JAMC2644.1
- Adjoint sensitivity of global cloud droplet number to aerosol and dynamical parameters V. Karydis et al. https://doi.org/10.5194/acp-12-9041-2012
- Measurements of surface cloud condensation nuclei and aerosol activity in downtown Shanghai C. Leng et al. https://doi.org/10.1016/j.atmosenv.2012.12.021
- The influence of chemical composition and mixing state of Los Angeles urban aerosol on CCN number and cloud properties M. Cubison et al. https://doi.org/10.5194/acp-8-5649-2008
- Quantifying the aerosol effect on droplet size distribution at cloud top L. Hernández Pardo et al. https://doi.org/10.5194/acp-19-7839-2019
- Inverse modelling of cloud-aerosol interactions – Part 2: Sensitivity tests on liquid phase clouds using a Markov chain Monte Carlo based simulation approach D. Partridge et al. https://doi.org/10.5194/acp-12-2823-2012
- Aerosol hygroscopicity and cloud condensation nuclei activity during the AC3Exp campaign: implications for cloud condensation nuclei parameterization F. Zhang et al. https://doi.org/10.5194/acp-14-13423-2014
- Aitken mode particles as CCN in aerosol- and updraft-sensitive regimes of cloud droplet formation M. Pöhlker et al. https://doi.org/10.5194/acp-21-11723-2021
16 citations as recorded by crossref.
- Modeling study on aerosol dynamical processes regulating new particle and CCN formation at clean continental areas T. Anttila & V. Kerminen https://doi.org/10.1029/2008GL033371
- Inverse modeling of cloud-aerosol interactions – Part 1: Detailed response surface analysis D. Partridge et al. https://doi.org/10.5194/acp-11-7269-2011
- Influences of aerosol physiochemical properties and new particle formation on CCN activity from observation at a suburban site of China Y. Li et al. https://doi.org/10.1016/j.atmosres.2017.01.009
- Do organics contribute to small particle formation in the Amazonian upper troposphere? A. Ekman et al. https://doi.org/10.1029/2008GL034970
- Cloud droplet formation at the base of tropical convective clouds: closure between modeling and measurement results of ACRIDICON–CHUVA R. Braga et al. https://doi.org/10.5194/acp-21-17513-2021
- Metamodeling of Droplet Activation for Global Climate Models D. Rothenberg & C. Wang https://doi.org/10.1175/JAS-D-15-0223.1
- The role of the particle size distribution in assessing aerosol composition effects on simulated droplet activation D. Ward et al. https://doi.org/10.5194/acp-10-5435-2010
- Variations of cloud condensation nuclei (CCN) and aerosol activity during fog–haze episode: a case study from Shanghai C. Leng et al. https://doi.org/10.5194/acp-14-12499-2014
- A Method for Forecasting Cloud Condensation Nuclei Using Predictions of Aerosol Physical and Chemical Properties from WRF/Chem D. Ward & W. Cotton https://doi.org/10.1175/2011JAMC2644.1
- Adjoint sensitivity of global cloud droplet number to aerosol and dynamical parameters V. Karydis et al. https://doi.org/10.5194/acp-12-9041-2012
- Measurements of surface cloud condensation nuclei and aerosol activity in downtown Shanghai C. Leng et al. https://doi.org/10.1016/j.atmosenv.2012.12.021
- The influence of chemical composition and mixing state of Los Angeles urban aerosol on CCN number and cloud properties M. Cubison et al. https://doi.org/10.5194/acp-8-5649-2008
- Quantifying the aerosol effect on droplet size distribution at cloud top L. Hernández Pardo et al. https://doi.org/10.5194/acp-19-7839-2019
- Inverse modelling of cloud-aerosol interactions – Part 2: Sensitivity tests on liquid phase clouds using a Markov chain Monte Carlo based simulation approach D. Partridge et al. https://doi.org/10.5194/acp-12-2823-2012
- Aerosol hygroscopicity and cloud condensation nuclei activity during the AC3Exp campaign: implications for cloud condensation nuclei parameterization F. Zhang et al. https://doi.org/10.5194/acp-14-13423-2014
- Aitken mode particles as CCN in aerosol- and updraft-sensitive regimes of cloud droplet formation M. Pöhlker et al. https://doi.org/10.5194/acp-21-11723-2021
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