Articles | Volume 19, issue 4
https://doi.org/10.5194/acp-19-2601-2019
https://doi.org/10.5194/acp-19-2601-2019
Research article
 | 
28 Feb 2019
Research article |  | 28 Feb 2019

Aerosol effects on deep convection: the propagation of aerosol perturbations through convective cloud microphysics

Max Heikenfeld, Bethan White, Laurent Labbouz, and Philip Stier

Related authors

tobac v1.5: introducing fast 3D tracking, splits and mergers, and other enhancements for identifying and analysing meteorological phenomena
G. Alexander Sokolowsky, Sean W. Freeman, William K. Jones, Julia Kukulies, Fabian Senf, Peter J. Marinescu, Max Heikenfeld, Kelcy N. Brunner, Eric C. Bruning, Scott M. Collis, Robert C. Jackson, Gabrielle R. Leung, Nils Pfeifer, Bhupendra A. Raut, Stephen M. Saleeby, Philip Stier, and Susan C. van den Heever
Geosci. Model Dev., 17, 5309–5330, https://doi.org/10.5194/gmd-17-5309-2024,https://doi.org/10.5194/gmd-17-5309-2024, 2024
Short summary
tobac 1.2: towards a flexible framework for tracking and analysis of clouds in diverse datasets
Max Heikenfeld, Peter J. Marinescu, Matthew Christensen, Duncan Watson-Parris, Fabian Senf, Susan C. van den Heever, and Philip Stier
Geosci. Model Dev., 12, 4551–4570, https://doi.org/10.5194/gmd-12-4551-2019,https://doi.org/10.5194/gmd-12-4551-2019, 2019
Short summary
Simulating the thermal regime and thaw processes of ice-rich permafrost ground with the land-surface model CryoGrid 3
S. Westermann, M. Langer, J. Boike, M. Heikenfeld, M. Peter, B. Etzelmüller, and G. Krinner
Geosci. Model Dev., 9, 523–546, https://doi.org/10.5194/gmd-9-523-2016,https://doi.org/10.5194/gmd-9-523-2016, 2016
Short summary
Impact of model developments on present and future simulations of permafrost in a global land-surface model
S. E. Chadburn, E. J. Burke, R. L. H. Essery, J. Boike, M. Langer, M. Heikenfeld, P. M. Cox, and P. Friedlingstein
The Cryosphere, 9, 1505–1521, https://doi.org/10.5194/tc-9-1505-2015,https://doi.org/10.5194/tc-9-1505-2015, 2015
Short summary
An improved representation of physical permafrost dynamics in the JULES land-surface model
S. Chadburn, E. Burke, R. Essery, J. Boike, M. Langer, M. Heikenfeld, P. Cox, and P. Friedlingstein
Geosci. Model Dev., 8, 1493–1508, https://doi.org/10.5194/gmd-8-1493-2015,https://doi.org/10.5194/gmd-8-1493-2015, 2015
Short summary

Related subject area

Subject: Clouds and Precipitation | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Revisiting the evolution of downhill thunderstorms over Beijing: a new perspective from a radar wind profiler mesonet
Xiaoran Guo, Jianping Guo, Tianmeng Chen, Ning Li, Fan Zhang, and Yuping Sun
Atmos. Chem. Phys., 24, 8067–8083, https://doi.org/10.5194/acp-24-8067-2024,https://doi.org/10.5194/acp-24-8067-2024, 2024
Short summary
How well can persistent contrails be predicted? An update
Sina Hofer, Klaus Gierens, and Susanne Rohs
Atmos. Chem. Phys., 24, 7911–7925, https://doi.org/10.5194/acp-24-7911-2024,https://doi.org/10.5194/acp-24-7911-2024, 2024
Short summary
Present-day correlations are insufficient to predict cloud albedo change by anthropogenic aerosols in E3SM v2
Naser Mahfouz, Johannes Mülmenstädt, and Susannah Burrows
Atmos. Chem. Phys., 24, 7253–7260, https://doi.org/10.5194/acp-24-7253-2024,https://doi.org/10.5194/acp-24-7253-2024, 2024
Short summary
Simulations of primary and secondary ice production during an Arctic mixed-phase cloud case from the Ny-Ålesund Aerosol Cloud Experiment (NASCENT) campaign
Britta Schäfer, Robert Oscar David, Paraskevi Georgakaki, Julie Thérèse Pasquier, Georgia Sotiropoulou, and Trude Storelvmo
Atmos. Chem. Phys., 24, 7179–7202, https://doi.org/10.5194/acp-24-7179-2024,https://doi.org/10.5194/acp-24-7179-2024, 2024
Short summary
Microphysical characteristics of precipitation within convective overshooting over East China observed by GPM DPR and ERA5
Nan Sun, Gaopeng Lu, and Yunfei Fu
Atmos. Chem. Phys., 24, 7123–7135, https://doi.org/10.5194/acp-24-7123-2024,https://doi.org/10.5194/acp-24-7123-2024, 2024
Short summary

Cited articles

Allan, D., Caswell, T., Keim, N., and van der Wel, C.: Trackpy: Trackpy v0.3.2, Zenodo, https://doi.org/10.5281/zenodo.60550, 2016. a, b
Altaratz, O., Koren, I., Remer, L. A., and Hirsch, E.: Review: Cloud Invigoration by Aerosols – Coupling between Microphysics and Dynamics, Atmos. Res., 140–141, 38–60, https://doi.org/10.1016/j.atmosres.2014.01.009, 2014. a, b
Andreae, M. O., Rosenfeld, D., Artaxo, P., Costa, A. A., Frank, G. P., Longo, K. M., and Silva-Dias, M. A. F.: Smoking Rain Clouds over the Amazon, Science, 303, 1337–1342, https://doi.org/10.1126/science.1092779, 2004. a
Ban, N., Schmidli, J., and Schär, C.: Evaluation of the Convection-Resolving Regional Climate Modeling Approach in Decade-Long Simulations, J. Geophys. Res.-Atmos., 119, 7889–7907, https://doi.org/10.1002/2014JD021478, 2014. a
Berry, E. X. and Reinhardt, R. L.: An Analysis of Cloud Drop Growth by Collection Part II. Single Initial Distributions, J. Atmos. Sci., 31, 1825–1831, https://doi.org/10.1175/1520-0469(1974)031<1825:AAOCDG>2.0.CO;2, 1974. a
Download
Short summary
Aerosols can affect the evolution of deep convective clouds by controlling the cloud droplet number concentration. We perform a detailed analysis of the pathways of such aerosol perturbations through the cloud microphysics in numerical model simulations. By focussing on individually tracked convective cells, we can reveal consistent changes to individual process rates, such as a lifting of freezing and riming, but also major differences between the three different microphysics schemes used.
Altmetrics
Final-revised paper
Preprint