Seasonal Cycle of Idealized Polar Clouds: Large Eddy Simulations Driven by a GCM
Seasonal Cycle of Idealized Polar Clouds: Large Eddy Simulations Driven by a GCM
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理想化极地云的季节周期:GCM 驱动的大涡模拟
DOI:
10.1029/2021ms002671
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发表时间:
2022
影响因子:
6.8
通讯作者:
Eisenman, Ian
中科院分区:
文献类型:
--
作者:
Zhang, Xiyue;Schneider, Tapio;Shen, Zhaoyi;Pressel, Kyle G.;Eisenman, Ian
The uncertainty in polar cloud feedbacks calls for process understanding of the cloud response to climate warming. As an initial step toward improved process understanding, we investigate the seasonal cycle of polar clouds in the current climate by adopting a novel modeling framework using large eddy simulations (LES), which explicitly resolve cloud dynamics. Resolved horizontal and vertical advection of heat and moisture from an idealized general circulation model (GCM) are prescribed as forcing in the LES. The LES are also forced with prescribed sea ice thickness, but surface temperature, atmospheric temperature, and moisture evolve freely without nudging. A semigray radiative transfer scheme without water vapor and cloud feedbacks allows the GCM and LES to achieve closed energy budgets more easily than would be possible with more complex schemes. This enables the mean states in the two models to be consistently compared, without the added complications from interaction with more comprehensive radiation. We show that the LES closely follow the GCM seasonal cycle, and the seasonal cycle of low‐level clouds in the LES resembles observations: maximum cloud liquid occurs in late summer and early autumn, and winter clouds are dominated by ice in the upper troposphere. Large‐scale advection of moisture provides the main source of water vapor for the liquid‐containing clouds in summer, while a temperature advection peak in winter makes the atmosphere relatively dry and reduces cloud condensate. The framework we develop and employ can be used broadly for studying cloud processes and the response of polar clouds to climate warming.
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影响因子:
8.9
作者:
Xiyue Zhang;T. Schneider;C. Kaul
通讯作者:
C. Kaul
影响因子:
6.8
作者:
Zhihong Tan;T. Schneider;J. Teixeira;K. Pressel
通讯作者:
K. Pressel
影响因子:
6.8
作者:
Zhihong Tan;T. Schneider;J. Teixeira;K. Pressel
通讯作者:
K. Pressel
影响因子:
6.8
作者:
Zhaoyi Shen;K. Pressel;Zhihong Tan;T. Schneider
通讯作者:
Zhaoyi Shen;K. Pressel;Zhihong Tan;T. Schneider
影响因子:
6.8
作者:
Pressel KG;Mishra S;Schneider T;Kaul CM;Tan Z
通讯作者:
Tan Z