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Cloud regimes over the Amazon Basin: perspectives from the GoAmazon2014/5 campaign

机译：亚马逊盆地的云制度：来自Goamazon2014 / 5活动的透视

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Radiosonde observations collected during the GoAmazon2014/5 campaign are analyzed to identify the primary thermodynamic regimes accompanying different modes of convection over the Amazon. This analysis identifies five thermodynamic regimes that are consistent with traditional Amazon calendar definitions of seasonal shifts, which include one wet, one transitional, and three dry season regimes based on a k-means cluster analysis. A multisensor ground-based approach is used to project associated bulk cloud and precipitation properties onto these regimes. This is done to assess the propensity for each regime to be associated with different characteristic cloud frequency, cloud types, and precipitation properties. Additional emphasis is given to those regimes that promote deep convective precipitation and organized convective systems. Overall, we find reduced cloud cover and precipitation rates to be associated with the three dry regimes and those with the highest convective inhibition. While approximately 15 % of the dataset is designated as organized convection, these events are predominantly contained within the transitional regime.
机译：在GoAmazon2014 / 5活动期间收集的无线电探测器观察分析以确定亚马逊的不同对流模式的主要热力学制度。该分析识别了五个热力学制度，这与季节性换档的传统亚马逊日历定义一致，其包括基于K-Means集群分析的湿，一个过渡和三个干燥季节制度。多传感器基础的方法用于将相关的散装云和降水特性投射到这些方案上。这样做是为了评估每个制度的倾向与不同的特征云频率，云类型和降水特性相关联。额外的重点是促进深入对比降水和有组织的对流系统的制度。总体而言，我们发现减少云盖和降水率与三个干燥制度和具有最高对流抑制的人。虽然约15％的数据集被指定为组织对流，但这些事件主要包含在过渡制度范围内。

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