Gibbs states and Brownian models for coexisting haze and cloud droplets

Fuente: arXiv
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Main Authors: Gutiérrez, Manuel Santos, Chekroun, Mickaël David, Koren, Ilan
Format: Preprint
Published: 2024
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author Gutiérrez, Manuel Santos
Chekroun, Mickaël David
Koren, Ilan
author_facet Gutiérrez, Manuel Santos
Chekroun, Mickaël David
Koren, Ilan
contents Cloud microphysics studies include how tiny cloud droplets grow, and become rain. This is crucial for understanding cloud properties like size, lifespan, 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 droplets 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 lab experiments, offering a new perspective on haze-to-cloud transition and small cloud formation.
format Preprint
id arxiv_https___arxiv_org_abs_2405_16556
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Gibbs states and Brownian models for coexisting haze and cloud droplets
Gutiérrez, Manuel Santos
Chekroun, Mickaël David
Koren, Ilan
Atmospheric and Oceanic Physics
Chaotic Dynamics
Cloud microphysics studies include how tiny cloud droplets grow, and become rain. This is crucial for understanding cloud properties like size, lifespan, 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 droplets 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 lab experiments, offering a new perspective on haze-to-cloud transition and small cloud formation.
title Gibbs states and Brownian models for coexisting haze and cloud droplets
topic Atmospheric and Oceanic Physics
Chaotic Dynamics
url https://arxiv.org/abs/2405.16556