Articles | Volume 19, issue 16
https://doi.org/10.5194/acp-19-10717-2019
https://doi.org/10.5194/acp-19-10717-2019
Research article
 | 
26 Aug 2019
Research article |  | 26 Aug 2019

Core and margin in warm convective clouds – Part 1: Core types and evolution during a cloud's lifetime

Reuven H. Heiblum, Lital Pinto, Orit Altaratz, Guy Dagan, and Ilan Koren

Related authors

Core and margin in warm convective clouds – Part 2: Aerosol effects on core properties
Reuven H. Heiblum, Lital Pinto, Orit Altaratz, Guy Dagan, and Ilan Koren
Atmos. Chem. Phys., 19, 10739–10755, https://doi.org/10.5194/acp-19-10739-2019,https://doi.org/10.5194/acp-19-10739-2019, 2019
Short summary
How do changes in warm-phase microphysics affect deep convective clouds?
Qian Chen, Ilan Koren, Orit Altaratz, Reuven H. Heiblum, Guy Dagan, and Lital Pinto
Atmos. Chem. Phys., 17, 9585–9598, https://doi.org/10.5194/acp-17-9585-2017,https://doi.org/10.5194/acp-17-9585-2017, 2017
Time-dependent, non-monotonic response of warm convective cloud fields to changes in aerosol loading
Guy Dagan, Ilan Koren, Orit Altaratz, and Reuven H. Heiblum
Atmos. Chem. Phys., 17, 7435–7444, https://doi.org/10.5194/acp-17-7435-2017,https://doi.org/10.5194/acp-17-7435-2017, 2017
Short summary
On the link between precipitation and the ice water path over tropical and mid-latitude regimes as derived from satellite observations
Yaniv Tubul, Ilan Koren, Orit Altaratz, and Reuven H. Heiblum
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2017-121,https://doi.org/10.5194/amt-2017-121, 2017
Revised manuscript not accepted
On the link between Amazonian forest properties and shallow cumulus cloud fields
R. H. Heiblum, I. Koren, and G. Feingold
Atmos. Chem. Phys., 14, 6063–6074, https://doi.org/10.5194/acp-14-6063-2014,https://doi.org/10.5194/acp-14-6063-2014, 2014

Related subject area

Subject: Clouds and Precipitation | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
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
Effects of radiative cooling on advection fog over the northwest Pacific Ocean: observations and large-eddy simulations
Liu Yang, Saisai Ding, Jing-Wu Liu, and Su-Ping Zhang
Atmos. Chem. Phys., 24, 6809–6824, https://doi.org/10.5194/acp-24-6809-2024,https://doi.org/10.5194/acp-24-6809-2024, 2024
Short summary
Evaluating the Wegener–Bergeron–Findeisen process in ICON in large-eddy mode with in situ observations from the CLOUDLAB project
Nadja Omanovic, Sylvaine Ferrachat, Christopher Fuchs, Jan Henneberger, Anna J. Miller, Kevin Ohneiser, Fabiola Ramelli, Patric Seifert, Robert Spirig, Huiying Zhang, and Ulrike Lohmann
Atmos. Chem. Phys., 24, 6825–6844, https://doi.org/10.5194/acp-24-6825-2024,https://doi.org/10.5194/acp-24-6825-2024, 2024
Short summary

Cited articles

Ackerman, B.: Buoyancy and precipitation in tropical cumuli, J. Meteorol., 13, 302–310, https://doi.org/10.1175/1520-0469(1956)013<0302:BAPITC>2.0.CO;2, 1956. 
Altaratz, O., Koren, I., Reisin, T., Kostinski, A., Feingold, G., Levin, Z., and Yin, Y.: Aerosols' influence on the interplay between condensation, evaporation and rain in warm cumulus cloud, Atmos. Chem. Phys., 8, 15–24, https://doi.org/10.5194/acp-8-15-2008, 2008. 
Betts, A. K.: Non-precipitating cumulus convection and its parameterization, Q. J. Roy. Meteor. Soc., 99, 178–196, https://doi.org/10.1002/qj.49709941915, 1973. 
Burnet, F. and Brenguier, J.-L.: The onset of precipitation in warm cumulus clouds: An observational case-study, Q. J. Roy. Meteor. Soc., 136, 374–381, https://doi.org/10.1002/qj.552, 2010. 
Craven, J. P., Jewell, R. E., and Brooks, H. E.: Comparison between Observed Convective Cloud-Base Heights and Lifting Condensation Level for Two Different Lifted Parcels, Weather Forecast., 17, 885–890, https://doi.org/10.1175/1520-0434(2002)017<0885:CBOCCB>2.0.CO;2, 2002. 
Short summary
It is useful to divide a cloud into two regions: core and margin. Three parameters used to define a core are compared: buoyancy (B), relative humidity (RH), and vertical velocity (W). Using theoretical arguments and simulations, we show that during most of a cloud's lifetime, the cores are subsets of one another: Bcore ⊆ RHcore ⊆ Wcore. Moreover, the core–shell cloud model applies to all core definitions. Our findings can serve as a benchmark in the partition the core and margin.
Altmetrics
Final-revised paper
Preprint