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有限区域大气环流模式中的非旋转对流自聚集

Nonrotating Convective Self-Aggregation in a Limited Area AGCM.

作者信息

Arnold Nathan P, Putman William M

机构信息

Goddard Earth Sciences Technology and Research Universities Space Research Association Columbia MD USA.

Global Modeling and Assimilation Office NASA Goddard Space Flight Center Greenbelt MD USA.

出版信息

J Adv Model Earth Syst. 2018 Apr;10(4):1029-1046. doi: 10.1002/2017MS001218. Epub 2018 Apr 13.

Abstract

We present nonrotating simulations with the Goddard Earth Observing System (GEOS) atmospheric general circulation model (AGCM) in a square limited area domain over uniform sea surface temperature. As in previous studies, convection spontaneously aggregates into humid clusters, driven by a combination of radiative and moisture-convective feedbacks. The aggregation is qualitatively independent of resolution, with horizontal grid spacing from 3 to 110 km, with both explicit and parameterized deep convection. A budget for the spatial variance of column moist static energy suggests that longwave radiative and surface flux feedbacks help establish aggregation, while the shortwave feedback contributes to its maintenance. Mechanism-denial experiments confirm that aggregation does not occur without interactive longwave radiation. Ice cloud radiative effects help support the humid convecting regions but are not essential for aggregation, while liquid clouds have a negligible effect. Removing the dependence of parameterized convection on tropospheric humidity reduces the intensity of aggregation but does not prevent the formation of dry regions. In domain sizes less than (5,000 km), the aggregation forms a single cluster, while larger domains develop multiple clusters. Larger domains initialized with a single large cluster are unable to maintain them, suggesting an upper size limit. Surface wind speed increases with domain size, implying that maintenance of the boundary layer winds may limit cluster size. As cluster size increases, large boundary layer temperature anomalies develop to maintain the surface pressure gradient, leading to an increase in the depth of parameterized convective heating and an increase in gross moist stability.

摘要

我们利用戈达德地球观测系统(GEOS)大气环流模型(AGCM),在均匀海表面温度的方形有限区域内进行了非旋转模拟。与之前的研究一样,在辐射和水汽对流反馈的共同作用下,对流自发聚集成潮湿云团。这种聚集在定性上与分辨率无关,水平网格间距从3公里到110公里,同时包含显式和参数化深对流。柱体湿静能量的空间方差收支表明,长波辐射和表面通量反馈有助于形成聚集,而短波反馈则有助于维持聚集。机理否定实验证实,没有交互式长波辐射就不会发生聚集。冰云辐射效应有助于支持潮湿对流区域,但对聚集并非必不可少,而液态云的影响可以忽略不计。消除参数化对流对对流层湿度的依赖性会降低聚集强度,但不会阻止干燥区域的形成。在小于(5000公里)的区域尺度下,聚集形成单个云团,而较大的区域会发展出多个云团。用单个大云团初始化的较大区域无法维持这些云团,这表明存在一个上限尺度。表面风速随区域尺度增加,这意味着边界层风的维持可能会限制云团大小。随着云团大小增加,会出现大的边界层温度异常以维持表面压力梯度,导致参数化对流加热深度增加以及总湿稳定性增加。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/868d/5993223/1d84d0b3b015/JAME-10-1029-g001.jpg

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