The Atmospheric Boundary Layer and the Initiation of the MJO
The Atmospheric Boundary Layer and the Initiation of the MJO
复制标题
大气边界层和 MJO 的启动
DOI:
10.1175/jcli-d-23-0210.1
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发表时间:
2023
影响因子:
4.9
通讯作者:
Brewer, W. Alan
中科院分区:
文献类型:
--
作者:
Johnson, Richard H.;de Szoeke, Simon P.;Ciesielski, Paul E.;Brewer, W. Alan
The Indian Ocean is a frequent site for the initiation of the Madden–Julian oscillation (MJO). The evolution of convection during MJO initiation is intimately linked to the subcloud atmospheric mixed layer (ML). Much of the air entering developing cumulus clouds passes through the cloud base; hence, the properties of the ML are critical in determining the nature of cloud development. The properties and depth of the ML are influenced by horizontal advection, precipitation-driven cold pools, and vertical motion. To address ML behavior during the initiation of the MJO, data from the 2011/12 Dynamics of the MJO Experiment (DYNAMO) are utilized. Observations from the research vesselRevelleare used to document the ML and its modification during the time leading up to the onset phase of the October MJO. The mixed layer depth increased from ∼500 to ∼700 m during the 1–12 October suppressed period, allowing a greater proportion of boundary layer thermals to reach the lifting condensation level and hence promote cloud growth. The ML heat budget defines an equilibrium mixed layer depth that accurately diagnoses the mixed layer depth over the DYNAMO convectively suppressed period, provided that horizontal advection is included. The advection at theRevelleis significantly influenced by low-level convective outflows from the southern ITCZ. The findings also demonstrate a connection between cirrus clouds and their remote impact on ML depth and convective development through a reduction in the ML radiative cooling rate. The emergent behavior of the equilibrium mixed layer has implications for simulating the MJO with models with parameterized cloud and turbulent-scale motions.
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影响因子:
4.9
作者:
K. M. Shell;S. Szoeke;Michael Makiyama;Zhe Feng
通讯作者:
Zhe Feng
影响因子:
1.7
作者:
R. Small;S. P. Deszoeke;S. Xie;L. O'Neill;H. Seo;Q. Song;P. Cornillon;M. Spall;S. Minobe
通讯作者:
R. Small;S. P. Deszoeke;S. Xie;L. O'Neill;H. Seo;Q. Song;P. Cornillon;M. Spall;S. Minobe
影响因子:
6.8
作者:
J. Ruppert
通讯作者:
J. Ruppert
影响因子:
5.2
作者:
S. Powell
通讯作者:
S. Powell
影响因子:
3
作者:
Ciesielski, Paul E.;Johnson, Richard H.
通讯作者:
Johnson, Richard H.