Articles | Volume 14, issue 9
https://doi.org/10.5194/acp-14-4809-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-14-4809-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
14 May 2014
Research article |
| 14 May 2014
Understanding the contributions of aerosol properties and parameterization discrepancies to droplet number variability in a global climate model
R. Morales Betancourt
School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA
School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA
School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA
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32 citations as recorded by crossref.
- Evaluation of global simulations of aerosol particle and cloud condensation nuclei number, with implications for cloud droplet formation G. Fanourgakis et al. https://doi.org/10.5194/acp-19-8591-2019
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- Subgrid-scale aerosol–cloud interaction in the atmospheric chemistry model CMA_Meso5.1/CUACE and its impacts on mesoscale meteorology prediction W. Zhang et al. https://doi.org/10.5194/acp-25-9005-2025
- Characterization and source apportionment of particle number concentration at a semi-urban tropical environment M. Khan et al. https://doi.org/10.1007/s11356-015-4541-4
- Incorporating an advanced aerosol activation parameterization into WRF‐CAM5: Model evaluation and parameterization intercomparison Y. Zhang et al. https://doi.org/10.1002/2014JD023051
- Retrieving Cloud Sensitivity to Aerosol Using Ship Emissions in Overcast Conditions R. Ribeiro et al. https://doi.org/10.1029/2023GL105620
- Molecular-scale description of interfacial mass transfer in phase-separated aqueous secondary organic aerosol M. Lbadaoui-Darvas et al. https://doi.org/10.5194/acp-21-17687-2021
- Efficient Determination of Cloud Drop Number Concentration Near the Cloud Base With Parameterization Based on Fundamental Theory and Parcel Model Simulations L. Wang & J. Chen https://doi.org/10.1029/2018JD029648
- On the representation of aerosol activation and its influence on model-derived estimates of the aerosol indirect effect D. Rothenberg et al. https://doi.org/10.5194/acp-18-7961-2018
- Evaluation of the contribution of new particle formation to cloud droplet number concentration in the urban atmosphere S. Jiang et al. https://doi.org/10.5194/acp-21-14293-2021
- Global impact of mineral dust on cloud droplet number concentration V. Karydis et al. https://doi.org/10.5194/acp-17-5601-2017
- A synthesis of cloud condensation nuclei counter (CCNC) measurements within the EUCAARI network M. Paramonov et al. https://doi.org/10.5194/acp-15-12211-2015
- Airborne characterization of subsaturated aerosol hygroscopicity and dry refractive index from the surface to 6.5 km during the SEAC4RS campaign T. Shingler et al. https://doi.org/10.1002/2015JD024498
- Quantifying sensitivities of ice crystal number and sources of ice crystal number variability in CAM 5.1 using the adjoint of a physically based cirrus formation parameterization B. Sheyko et al. https://doi.org/10.1002/2014JD022457
- 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. https://doi.org/10.5194/acp-20-5911-2020
- Chemical and physical influences on aerosol activation in liquid clouds: a study based on observations from the Jungfraujoch, Switzerland C. Hoyle et al. https://doi.org/10.5194/acp-16-4043-2016
- Constraining the Twomey effect from satellite observations: issues and perspectives J. Quaas et al. https://doi.org/10.5194/acp-20-15079-2020
- Impact of mineral dust on the global nitrate aerosol direct and indirect radiative effect A. Milousis et al. https://doi.org/10.5194/acp-25-1333-2025
- Role of updraft velocity in temporal variability of global cloud hydrometeor number S. Sullivan et al. https://doi.org/10.1073/pnas.1514039113
- Quantitative assessment of supercooled liquid water sensitivity to different aerosol field inputs over the Sichuan Basin M. Yuan et al. https://doi.org/10.5194/acp-26-2275-2026
- The relationship between cloud condensation nuclei (CCN) concentration and light extinction of dried particles: indications of underlying aerosol processes and implications for satellite-based CCN estimates Y. Shinozuka et al. https://doi.org/10.5194/acp-15-7585-2015
- New Particle Formation Events Can Reduce Cloud Droplets in Boundary Layer Clouds at the Continental Scale D. Patoulias et al. https://doi.org/10.1029/2023GL106182
- Particle Formation in a Complex Environment D. Dominick et al. https://doi.org/10.3390/atmos10050275
- Reducing Aerosol Forcing Uncertainty by Combining Models With Satellite and Within‐The‐Atmosphere Observations: A Three‐Way Street R. Kahn et al. https://doi.org/10.1029/2022RG000796
- Understanding cirrus ice crystal number variability for different heterogeneous ice nucleation spectra S. Sullivan et al. https://doi.org/10.5194/acp-16-2611-2016
- Improving our fundamental understanding of the role of aerosol−cloud interactions in the climate system J. Seinfeld et al. https://doi.org/10.1073/pnas.1514043113
- Droplet activation parameterization: the population-splitting concept revisited R. Morales Betancourt & A. Nenes https://doi.org/10.5194/gmd-7-2345-2014
- Instrument artifacts lead to uncertainties in parameterizations of cloud condensation nucleation J. Mirrielees & S. Brooks https://doi.org/10.5194/amt-11-6389-2018
- An aerosol activation metamodel of v1.2.0 of the pyrcel cloud parcel model: development and offline assessment for use in an aerosol–climate model D. Rothenberg & C. Wang https://doi.org/10.5194/gmd-10-1817-2017
- Consistency and applicability of parameterization schemes for the size-resolved aerosol activation ratio based on field measurements in the North China Plain J. Tao et al. https://doi.org/10.1016/j.atmosenv.2017.11.021
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