Gibbs states and Brownian models for coexisting haze and cloud droplets

Cloud microphysics studies include how tiny cloud droplets grow and become rain. This is crucial for understanding cloud properties like size, life span, and impact on climate through radiative effects. Small weak-updraft clouds near the haze-to-cloud transition are especially difficult to measure and understand. They are abundant but hard to capture by satellites. Köhler's theory explains initial droplet growth but struggles with large particle groups. Here, we present a stochastic, analytical framework building on Köhler's theory to account for (monodisperse) aerosols and cloud droplet interaction through competitive growth in a limited water vapor field. These interactions are modeled by sink terms, while fluctuations in supersaturation affecting droplet growth are modeled by nonlinear white noise terms. Our results identify hysteresis mechanisms in the droplet activation and deactivation processes. Our approach allows for multimodal cloud's droplet size distributions supported by laboratory experiments, offering a different perspective on haze-to-cloud transition and small cloud formation.

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Publication Details

Journal
Science Advances
Published
2024-11-15
DOI
https://doi.org/10.1126/sciadv.adq7518
Citations
4
Primary Topic
Atmospheric aerosols and clouds
Type
article
Field-Weighted Citation Impact
1.13
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article

Gibbs states and Brownian models for coexisting haze and cloud droplets

Manuel Santos Gutiérrez, Ilan Koren, Mickaël D. Chekroun
4 citations
Science Advances
Atmospheric aerosols and clouds
1.13
article

Gibbs states and Brownian models for coexisting haze and cloud droplets

Manuel Santos Gutiérrez, Ilan Koren, Mickaël D. Chekroun
article en
4 citations

Abstract

Cloud microphysics studies include how tiny cloud droplets grow and become rain. This is crucial for understanding cloud properties like size, life span, and impact on climate through radiative effects. Small weak-updraft clouds near the haze-to-cloud transition are especially difficult to measure and understand. They are abundant but hard to capture by satellites. Köhler's theory explains initial droplet growth but struggles with large particle groups. Here, we present a stochastic, analytical framework building on Köhler's theory to account for (monodisperse) aerosols and cloud droplet interaction through competitive growth in a limited water vapor field. These interactions are modeled by sink terms, while fluctuations in supersaturation affecting droplet growth are modeled by nonlinear white noise terms. Our results identify hysteresis mechanisms in the droplet activation and deactivation processes. Our approach allows for multimodal cloud's droplet size distributions supported by laboratory experiments, offering a different perspective on haze-to-cloud transition and small cloud formation.

Science AdvancesVol. 10(46)
University of California, Los Angeles (US), Weizmann Institute of Science (IL)
Openalex Percentile: Top 22%
Atmospheric aerosols and clouds
1.13
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