Articles | Volume 16, issue 4
Atmos. Chem. Phys., 16, 2611–2629, 2016
https://doi.org/10.5194/acp-16-2611-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 16, 2611–2629, 2016
https://doi.org/10.5194/acp-16-2611-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
03 Mar 2016
Research article
| 03 Mar 2016
Understanding cirrus ice crystal number variability for different heterogeneous ice nucleation spectra
Sylvia C. Sullivan et al.
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Cited
10 citations as recorded by crossref.
- Cold cloud microphysical process rates in a global chemistry–climate model S. Bacer et al. 10.5194/acp-21-1485-2021
- Ice microphysical processes exert a strong control on the simulated radiative energy budget in the tropics S. Sullivan & A. Voigt 10.1038/s43247-021-00206-7
- Implementation of a comprehensive ice crystal formation parameterization for cirrus and mixed-phase clouds in the EMAC model (based on MESSy 2.53) S. Bacer et al. 10.5194/gmd-11-4021-2018
- Role of updraft velocity in temporal variability of global cloud hydrometeor number S. Sullivan et al. 10.1073/pnas.1514039113
- Improving our fundamental understanding of the role of aerosol−cloud interactions in the climate system J. Seinfeld et al. 10.1073/pnas.1514043113
- Global Radiative Impacts of Black Carbon Acting as Ice Nucleating Particles Z. McGraw et al. 10.1029/2020GL089056
- The effect of secondary ice production parameterization on the simulation of a cold frontal rainband S. Sullivan et al. 10.5194/acp-18-16461-2018
- Comparison of Modeled and Measured Ice Nucleating Particle Composition in a Cirrus Cloud R. Ullrich et al. 10.1175/JAS-D-18-0034.1
- Retrieval of ice-nucleating particle concentrations from lidar observations and comparison with UAV in situ measurements E. Marinou et al. 10.5194/acp-19-11315-2019
- Airborne observations of the microphysical structure of two contrasting cirrus clouds S. O'Shea et al. 10.1002/2016JD025278
9 citations as recorded by crossref.
- Cold cloud microphysical process rates in a global chemistry–climate model S. Bacer et al. 10.5194/acp-21-1485-2021
- Ice microphysical processes exert a strong control on the simulated radiative energy budget in the tropics S. Sullivan & A. Voigt 10.1038/s43247-021-00206-7
- Implementation of a comprehensive ice crystal formation parameterization for cirrus and mixed-phase clouds in the EMAC model (based on MESSy 2.53) S. Bacer et al. 10.5194/gmd-11-4021-2018
- Role of updraft velocity in temporal variability of global cloud hydrometeor number S. Sullivan et al. 10.1073/pnas.1514039113
- Improving our fundamental understanding of the role of aerosol−cloud interactions in the climate system J. Seinfeld et al. 10.1073/pnas.1514043113
- Global Radiative Impacts of Black Carbon Acting as Ice Nucleating Particles Z. McGraw et al. 10.1029/2020GL089056
- The effect of secondary ice production parameterization on the simulation of a cold frontal rainband S. Sullivan et al. 10.5194/acp-18-16461-2018
- Comparison of Modeled and Measured Ice Nucleating Particle Composition in a Cirrus Cloud R. Ullrich et al. 10.1175/JAS-D-18-0034.1
- Retrieval of ice-nucleating particle concentrations from lidar observations and comparison with UAV in situ measurements E. Marinou et al. 10.5194/acp-19-11315-2019
1 citations as recorded by crossref.
Saved (preprint)
Latest update: 31 Jan 2023
Short summary
We use the adjoint model of a cirrus parameterization to quantify sources of crystal variability for various ice-nucleating spectra and output from CAM5.
The sensitivities can be directly linked to nucleation regime and
efficiency of various INP.
The lab-based spectrum calculates much higher INP efficiencies than field-based ones, owing to aerosol surface properties.
The sensitivity to temperature tends to be low, due to the compensating effects of temperature on INP spectrum parameters.
We use the adjoint model of a cirrus parameterization to quantify sources of crystal variability...
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