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The Green Ocean: precipitation insights from the GoAmazon2014/5 experiment

机译:绿色海洋:来自GoAmazon2014 / 5实验的降水洞察

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摘要

This study summarizes the precipitation properties collected during the GoAmazon2014/5 campaign near Manaus in central Amazonia, Brazil. Precipitation breakdowns, summary radar rainfall relationships and self-consistency concepts from a coupled disdrometer and radar wind profiler measurements are presented. The properties of Amazon cumulus and associated stratiform precipitation are discussed, including segregations according to seasonal (wet or dry regime) variability, cloud echo-top height and possible aerosol influences on the apparent oceanic characteristics of the precipitation drop size distributions. Overall, we observe that the Amazon precipitation straddles behaviors found during previous U.S. Department of Energy Atmospheric Radiation Measurement (ARM) program tropical deployments, with distributions favoring higher concentrations of smaller drops than ARM continental examples. Oceanic-type precipitation characteristics are predominantly observed during the Amazon wet seasons. An exploration of the controls on wet season precipitation properties reveals that wind direction, compared with other standard radiosonde thermodynamic parameters or aerosol count/regime classifications performed at the ARM site, provides a good indicator for those wet season Amazon events having an oceanic character for their precipitation drop size distributions.
机译:这项研究总结了在巴西中亚马孙地区马瑙斯附近的GoAmazon2014 / 5活动期间收集的降水性质。提出了由耦合的测速仪和雷达风廓线仪测量得到的降水细目,汇总的雷达降雨关系和自洽概念。讨论了亚马逊积云的性质和相关的层状降水,包括根据季节(湿或干状态)变化的偏析,云层回波顶高度以及可能的气溶胶对降水滴大小分布的明显海洋特征的影响。总体而言,我们观察到亚马逊地区的降水跨越了先前美国能源部大气辐射测量(ARM)计划热带部署期间发现的行为,其分布有利于比ARM大陆示例更高的较小液滴浓度。在亚马逊雨季主要观察到海洋型降水特征。对雨季降水特性控制的探索表明,与在ARM站点执行的其他标准探空仪热力学参数或气溶胶计数/区域分类相比,风向为那些具有海洋特征的雨季亚马逊事件提供了一个很好的指标降水滴大小分布。

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