Surface weather stations and lightning data

Surface weather stations and lightning data for diurnal and monthly composities. Objectives: Study the influence of river breezes in the development of deep convection using lightning strokes as a proxy for deep convection. Experimental Design: - Two surface weather stations: 1 (one) at Ponta Pelada airport (North of Negro, Solimões and Amazonas rivers conjunction) and 1 (one) at GoAmazon T2 Site (west of Solimões River) - Lightning strikes from Vaisala Inc. Global Lightning Detection network (GLD360) Methods: - Lightning strikes by hour of the day to show diurnal cycle - Use GoAmazon IOP1 (Feb-Mar 2014) and IOP2 (Sep-Oct 2014) as \"monthly\" variations (i.e., IOP1 == Wet season and IOP2 == Dry season). Link to Tableau Online: https://public.tableau.com/profile/publish/Vento/Painel1#!/publish-confirm本数据集为用于日循环与月合成分析的地面气象观测与闪电探测数据。研究目标：以闪电闪击作为深对流的代理指标，探究河风环流对深对流发展的影响。试验设计：- 两处地面气象观测站：一处位于蓬塔佩拉达机场（内格罗河、索利蒙伊斯河与亚马孙河汇流处北侧），另一处位于GoAmazon T2试验站点（索利蒙伊斯河西侧）；- 闪电闪击数据源自维萨拉公司（Vaisala Inc.）全球闪电探测网（GLD360，Global Lightning Detection Network）。研究方法：- 按每日小时统计闪电闪击频次，以展示闪电活动的日循环特征；- 采用GoAmazon试验的IOP1（2014年2-3月，湿季）与IOP2（2014年9-10月，干季）作为月尺度变化的分析数据集。Tableau在线链接：https://public.tableau.com/profile/publish/Vento/Painel1#!/publish-confirm