Scaling of Turbulence and Microphysics in a Convection–Cloud Chamber of Varying Height
Scaling of Turbulence and Microphysics in a Convection–Cloud Chamber of Varying Height
复制标题
不同高度的对流云室中的湍流和微物理尺度
DOI:
10.1029/2022ms003304
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发表时间:
2023
影响因子:
6.8
通讯作者:
Shaw, Raymond A.
中科院分区:
文献类型:
--
作者:
Thomas, Subin;Yang, Fan;Ovchinnikov, Mikhail;Cantrell, Will;Shaw, Raymond A.
The convection–cloud chamber enables measurement of aerosol and cloud microphysics, as well as their interactions, within a turbulent environment under steady‐state conditions. Increasing the size of a convection–cloud chamber, while holding the imposed temperature difference constant, leads to increased Rayleigh, Reynolds and Nusselt numbers. Large–eddy simulation coupled with a bin microphysics model allows the influence of increased velocity, time, and spatial scales on cloud microphysical properties to be explored. Simulations of a convection–cloud chamber, with fixed aspect ratio and increasing heights ofH= 1, 2, 4, and (for dry conditions only) 8 m are performed. The key findings are: Velocity fluctuations scale asH1/3, consistent with the Deardorff expression for convective velocity, and implying that the turbulence correlation time scales asH2/3. Temperature and other scalar fluctuations scale asH−3/7. Droplet size distributions from chambers of different sizes can be matched by adjusting the total aerosol injection rate as the horizontal cross‐sectional area (i.e., asH2for constant aspect ratio). Injection of aerosols at a point versus distributed throughout the volume makes no difference for polluted conditions, but can lead to cloud droplet size distribution broadening in clean conditions. Cloud droplet growth by collision and coalescence leads to a broader right tail of the distribution compared to condensation growth alone, and this tail increases in magnitude and extent monotonically as the increase of chamber height. These results also have implications for scaling within turbulent, cloudy mixed‐layers in the atmosphere, such as fog layers.
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影响因子:
8
作者:
Xue;L.;Bera;S.;Chen;S.;Choudhary;H.;Dixit;S.;Grabowski;W. W.;Jayakumar;S.;Krueger;S.;Kulkarni;G.;Lasher-Trapp;S.;Mallinson;H.;Prabhakaran;T.;& Shima;S.
通讯作者:
S.
影响因子:
3.1
作者:
N. Desai;K. K. Chandrakar;Kelken Chang;W. Cantrell;R. Shaw
通讯作者:
R. Shaw
DOI:
10.1029/2020jd033799
发表时间:
2021
期刊:
Journal of Geophysical Research: Atmospheres
影响因子:
--
作者:
Shawon, Abu Sayeed Md;Prabhakaran, Prasanth;Kinney, Greg;Shaw, Raymond A.;Cantrell, Will
通讯作者:
Cantrell, Will
影响因子:
5.2
作者:
Litai Kang;R. Marchand;R. Wood;I. McCoy
通讯作者:
Litai Kang;R. Marchand;R. Wood;I. McCoy
影响因子:
3.1
作者:
Thomas, Subin;Prabhakaran, Prasanth;Cantrell, Will;Shaw, Raymond A.
通讯作者:
Shaw, Raymond A.