2024
DOI: 10.1029/2023gl105746
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Distinct Mixing Regimes in Shallow Cumulus Clouds

Yael Arieli,
Eshkol Eytan,
Orit Altaratz
et al.

Abstract: Understanding the nature of mixing between cloudy air and its surroundings is an important and yet, open question. In this research, we use high‐resolution (10 m) bin‐microphysics Large Eddy Simulation of a cumulus cloud, together with a Lagrangian passive tracer tracking method, to study mixing. We analyze the passive tracers as a function of their trajectories and the thermodynamic conditions they undergo inside and outside the cloud. Three main mixing regimes (core, periphery, and skin) are identified, each… Show more

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Cited by 2 publications
(3 citation statements)
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“…The questions it raises are important not only for the cloud physics community that desires to better understand clouds; It is also pivotal for weather and climate prediction, as the parameterizations of Cu clouds and their mixing are one of the main sources of uncertainty in largescale models. Figure 8 gives a schematic picture of the cloud's structure that arises from a compilation of this work with a few others (Arieli et al, 2024;Eytan et al, 2021Eytan et al, , 2022Pinsky et al, 2021Pinsky et al, , 2022.…”
Section: Discussionmentioning
confidence: 99%
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“…The questions it raises are important not only for the cloud physics community that desires to better understand clouds; It is also pivotal for weather and climate prediction, as the parameterizations of Cu clouds and their mixing are one of the main sources of uncertainty in largescale models. Figure 8 gives a schematic picture of the cloud's structure that arises from a compilation of this work with a few others (Arieli et al, 2024;Eytan et al, 2021Eytan et al, , 2022Pinsky et al, 2021Pinsky et al, , 2022.…”
Section: Discussionmentioning
confidence: 99%
“…Because there was some uncertainty regarding both the exact location of the cloud edge (i.e., sub-grid location) and the particle's position, the entrance or exit to the cloud was defined only when the distance to the cloud edge (DFCE; calculated as in Eytan et al (2022)) was larger than the simulation resolution (10 m). For more details see Arieli et al (2024).…”
Section: Lagrangian Tracersmentioning
confidence: 99%
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