Articles | Volume 17, issue 6
https://doi.org/10.5194/acp-17-4209-2017
© Author(s) 2017. 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-17-4209-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
29 Mar 2017
Research article |
| 29 Mar 2017
Microphysical sensitivity of coupled springtime Arctic stratocumulus to modelled primary ice over the ice pack, marginal ice, and ocean
Gillian Young
CORRESPONDING AUTHOR
Centre for Atmospheric Science, School of Earth and Environmental Sciences, University of Manchester, Manchester, UK
Paul J. Connolly
Centre for Atmospheric Science, School of Earth and Environmental Sciences, University of Manchester, Manchester, UK
Hazel M. Jones
Centre for Atmospheric Science, School of Earth and Environmental Sciences, University of Manchester, Manchester, UK
Thomas W. Choularton
CORRESPONDING AUTHOR
Centre for Atmospheric Science, School of Earth and Environmental Sciences, University of Manchester, Manchester, UK
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Cited
20 citations as recorded by crossref.
- Vertical distribution of microphysical properties of Arctic springtime low-level mixed-phase clouds over the Greenland and Norwegian seas G. Mioche et al. 10.5194/acp-17-12845-2017
- Evaluating Arctic clouds modelled with the Unified Model and Integrated Forecasting System G. McCusker et al. 10.5194/acp-23-4819-2023
- Cloud-Top Entrainment in Mixed-Phase Stratocumulus and Its Process-Level Representation in Large-Eddy Simulation R. Rauterkus & C. Ansorge 10.1175/JAS-D-19-0221.1
- The role of droplet sedimentation in the evolution of low-level clouds over southern West Africa C. Dearden et al. 10.5194/acp-18-14253-2018
- Spaceborne Evidence That Ice‐Nucleating Particles Influence High‐Latitude Cloud Phase T. Carlsen & R. David 10.1029/2022GL098041
- Assessing the vertical structure of Arctic aerosols using balloon-borne measurements J. Creamean et al. 10.5194/acp-21-1737-2021
- The Spatial Heterogeneity of Cloud Phase Observed by Satellite A. Sokol & T. Storelvmo 10.1029/2023JD039751
- Modeling Performance of SCALE‐AMPS: Simulations of Arctic Mixed‐Phase Clouds Observed During SHEBA C. Ong et al. 10.1029/2021MS002887
- Simulations of primary and secondary ice production during an Arctic mixed-phase cloud case from the Ny-Ålesund Aerosol Cloud Experiment (NASCENT) campaign B. Schäfer et al. 10.5194/acp-24-7179-2024
- Response of Arctic mixed-phase clouds to aerosol perturbations under different surface forcings G. Eirund et al. 10.5194/acp-19-9847-2019
- Fast and slow microphysics regimes in a minimalist model of cloudy Rayleigh-Bénard convection R. Shaw et al. 10.1103/PhysRevResearch.5.043018
- Cloud Ice Processes Enhance Spatial Scales of Organization in Arctic Stratocumulus G. Eirund et al. 10.1029/2019GL084959
- Midlatitude mixed-phase stratocumulus clouds and their interactions with aerosols: how ice processes affect microphysical, dynamic, and thermodynamic development in those clouds and interactions? S. Lee et al. 10.5194/acp-21-16843-2021
- Glacially sourced dust as a potentially significant source of ice nucleating particles Y. Tobo et al. 10.1038/s41561-019-0314-x
- Relating large-scale subsidence to convection development in Arctic mixed-phase marine stratocumulus G. Young et al. 10.5194/acp-18-1475-2018
- Arctic mixed-phase clouds simulated by the WRF model: Comparisons with ACLOUD radar and in situ airborne observations and sensitivity of microphysics properties D. Arteaga et al. 10.1016/j.atmosres.2024.107471
- A model intercomparison of CCN-limited tenuous clouds in the high Arctic R. Stevens et al. 10.5194/acp-18-11041-2018
- Relationships between Immersion Freezing and Crystal Habit for Arctic Mixed-Phase Clouds—A Numerical Study T. Hashino et al. 10.1175/JAS-D-20-0078.1
- Memory Properties in Cloud‐Resolving Simulations of the Diurnal Cycle of Deep Convection C. Daleu et al. 10.1029/2019MS001897
- A convolutional neural network for classifying cloud particles recorded by imaging probes G. Touloupas et al. 10.5194/amt-13-2219-2020
20 citations as recorded by crossref.
- Vertical distribution of microphysical properties of Arctic springtime low-level mixed-phase clouds over the Greenland and Norwegian seas G. Mioche et al. 10.5194/acp-17-12845-2017
- Evaluating Arctic clouds modelled with the Unified Model and Integrated Forecasting System G. McCusker et al. 10.5194/acp-23-4819-2023
- Cloud-Top Entrainment in Mixed-Phase Stratocumulus and Its Process-Level Representation in Large-Eddy Simulation R. Rauterkus & C. Ansorge 10.1175/JAS-D-19-0221.1
- The role of droplet sedimentation in the evolution of low-level clouds over southern West Africa C. Dearden et al. 10.5194/acp-18-14253-2018
- Spaceborne Evidence That Ice‐Nucleating Particles Influence High‐Latitude Cloud Phase T. Carlsen & R. David 10.1029/2022GL098041
- Assessing the vertical structure of Arctic aerosols using balloon-borne measurements J. Creamean et al. 10.5194/acp-21-1737-2021
- The Spatial Heterogeneity of Cloud Phase Observed by Satellite A. Sokol & T. Storelvmo 10.1029/2023JD039751
- Modeling Performance of SCALE‐AMPS: Simulations of Arctic Mixed‐Phase Clouds Observed During SHEBA C. Ong et al. 10.1029/2021MS002887
- Simulations of primary and secondary ice production during an Arctic mixed-phase cloud case from the Ny-Ålesund Aerosol Cloud Experiment (NASCENT) campaign B. Schäfer et al. 10.5194/acp-24-7179-2024
- Response of Arctic mixed-phase clouds to aerosol perturbations under different surface forcings G. Eirund et al. 10.5194/acp-19-9847-2019
- Fast and slow microphysics regimes in a minimalist model of cloudy Rayleigh-Bénard convection R. Shaw et al. 10.1103/PhysRevResearch.5.043018
- Cloud Ice Processes Enhance Spatial Scales of Organization in Arctic Stratocumulus G. Eirund et al. 10.1029/2019GL084959
- Midlatitude mixed-phase stratocumulus clouds and their interactions with aerosols: how ice processes affect microphysical, dynamic, and thermodynamic development in those clouds and interactions? S. Lee et al. 10.5194/acp-21-16843-2021
- Glacially sourced dust as a potentially significant source of ice nucleating particles Y. Tobo et al. 10.1038/s41561-019-0314-x
- Relating large-scale subsidence to convection development in Arctic mixed-phase marine stratocumulus G. Young et al. 10.5194/acp-18-1475-2018
- Arctic mixed-phase clouds simulated by the WRF model: Comparisons with ACLOUD radar and in situ airborne observations and sensitivity of microphysics properties D. Arteaga et al. 10.1016/j.atmosres.2024.107471
- A model intercomparison of CCN-limited tenuous clouds in the high Arctic R. Stevens et al. 10.5194/acp-18-11041-2018
- Relationships between Immersion Freezing and Crystal Habit for Arctic Mixed-Phase Clouds—A Numerical Study T. Hashino et al. 10.1175/JAS-D-20-0078.1
- Memory Properties in Cloud‐Resolving Simulations of the Diurnal Cycle of Deep Convection C. Daleu et al. 10.1029/2019MS001897
- A convolutional neural network for classifying cloud particles recorded by imaging probes G. Touloupas et al. 10.5194/amt-13-2219-2020
Latest update: 23 Nov 2024
Short summary
Arctic mixed-phase clouds are poorly represented in numerical models, due in part to an overpredicted ice phase. Here, we examine the sensitivity of cloud structure, evolution, and lifetime to modelled primary ice number concentrations over three different surfaces – sea ice, marginal ice, and ocean – to investigate the dependency on both the ice phase and dynamics induced from surface fluxes.
Arctic mixed-phase clouds are poorly represented in numerical models, due in part to an...
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