Lagrangian Supersaturation Fluctuations at the Cloud Edge

被引：1

作者：

Fries, J. ^{[1
]}

Sardina, G. ^{[2
]}

Svensson, G. ^{[3
,4
,5
]}

Pumir, A. ^{[6
]}

Mehlig, B. ^{[1
]}

机构：

[1] Gothenburg Univ, Dept Phys, SE-41296 Gothenburg, Sweden

[2] Chalmers Univ Technol, Dept Mech & Maritime Sci, S-41296 Gothenburg, Sweden

[3] Stockholm Univ, Dept Meteorol, SE-10691 Stockholm, Sweden

[4] Stockholm Univ, Bolin Ctr Climate Res, SE-10691 Stockholm, Sweden

[5] KTH Royal Inst Technol, Dept Engn Mech, SE-11428 Stockholm, Sweden

[6] Univ Lyon, Univ Claude Bernard, ENS Lyon, CNRS,Lab Phys, F-69342 Lyon, France

来源：

PHYSICAL REVIEW LETTERS | 2023年 / 131卷 / 25期

基金：

瑞典研究理事会; 美国国家科学基金会;

关键词：

TURBULENT; MODEL; DROPLETS; GROWTH; CONDENSATION; ENTRAINMENT; TRANSPORT; SPECTRA;

D O I：

10.1103/PhysRevLett.131.254201

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

Evaporation of cloud droplets accelerates when turbulence mixes dry air into the cloud, affecting droplet-size distributions in atmospheric clouds, combustion sprays, and jets of exhaled droplets. The challenge is to model local correlations between droplet numbers, sizes, and supersaturation, which determine supersaturation fluctuations along droplet paths (Lagrangian fluctuations). We derived a statistical model that accounts for these correlations. Its predictions are in quantitative agreement with results of direct numerical simulations, and explain the key mechanisms at play.

引用

页数：7

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