Does convective aggregation need to be represented in cumulus parameterizations?

Does convective aggregation need to be represented in cumulus parameterizations?
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对流聚集是否需要用积云参数化来表示?

DOI:
10.1002/jame.20047
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发表时间:
2013
影响因子:
6.8
通讯作者:
Tobin I
Tobin I
中科院分区:
地球科学2区
文献类型:
--
作者:
Tobin I

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热带深对流在很大的尺度上表现出不同程度的聚集。基于多卫星分析,本研究表明,在中尺度上,尽管对流强度和大尺度强迫相似,但不同水平的聚集与不同的大尺度大气状态在统计上相关。对流越聚集,大气越干燥,多云程度越低,向外的长波辐射越强,行星的辐射越低。这表明中尺度对流聚集有可能影响水分和对流之间的耦合,以及对流,辐射和大尺度上升之间的耦合。在这样做的时候,聚集可能会在“热点”或马登-朱利安振荡等现象中发挥作用。这些研究结果支持积云参数化中尺度组织的代表性的需要,目前气候模式中使用的大多数参数化缺乏任何这样的代表性。云系统解析模式再现观测到的关系的能力表明,这种模式可能有助于指导对流聚集参数化的尝试。
Tropical deep convection exhibits a variety of levels of aggregation over a wide range of scales. Based on a multisatellite analysis, the present study shows at mesoscale that different levels of aggregation are statistically associated with differing large‐scale atmospheric states, despite similar convective intensity and large‐scale forcings. The more aggregated the convection, the dryer and less cloudy the atmosphere, the stronger the outgoing longwave radiation, and the lower the planetary albedo. This suggests that mesoscale convective aggregation has the potential to affect couplings between moisture and convection and between convection, radiation, and large‐scale ascent. In so doing, aggregation may play a role in phenomena such as “hot spots” or the Madden‐Julian Oscillation. These findings support the need for the representation of mesoscale organization in cumulus parameterizations; most parameterizations used in current climate models lack any such representation. The ability of a cloud system‐resolving model to reproduce observed relationships suggests that such models may be useful to guide attempts at parameterizations of convective aggregation.
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