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首页> 外文期刊>Geophysical Research Letters >Sugar, Gravel, Fish, and Flowers: Dependence of Mesoscale Patterns of Trade-Wind Clouds on Environmental Conditions
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Sugar, Gravel, Fish, and Flowers: Dependence of Mesoscale Patterns of Trade-Wind Clouds on Environmental Conditions

机译：糖，砾石，鱼类和鲜花：衡量贸易云层曲线模式对环境条件的依赖性

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摘要

Trade-wind clouds exhibit a large diversity of spatial organizations at the mesoscale. Over the tropical western Atlantic, a recent study has visually identified four prominent mesoscale patterns of shallow convection, referred to as flowers, fish, gravel, and sugar. We show that these four patterns can be identified objectively from satellite observations by analyzing the spatial distribution of infrared brightness temperatures. By applying this analysis to 19 years of data, we examine relationships between cloud patterns and large-scale environmental conditions. This investigation reveals that on daily and interannual timescales, the near-surface wind speed and the strength of the lower-tropospheric stability discriminate the occurrence of the different organization patterns. These results, combined with the tight relationship between cloud patterns, low-level cloud amount, and cloud-radiative effects, suggest that the mesoscale organization of shallow clouds might change under global warming. The role of shallow convective organization in determining low-cloud feedback should thus be investigated.
机译：贸易云在Mesoscale上表现出大量的空间组织。在热带西部大西洋，最近的一项研究目视确定了四个突出的浅误剧模式，称为花，鱼，砾石和糖。我们表明，通过分析红外亮度温度的空间分布，可以客观地从卫星观察来识别这四种模式。通过将该分析应用于19年的数据，我们研究云模式与大规模环境条件之间的关系。本研究表明，在日常和际时间尺寸时，近表面风速和低层稳定性的强度区分了不同组织模式的发生。这些结果与云模式，低级云量和云辐射效果之间的紧密关系相结合，表明浅云的Mesoscale组织可能会在全球变暖下变化。因此，应研究浅谈组织在确定低云反馈时的作用。

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