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

面向昼夜与月度合成分析的地面气象观测数据及闪电探测数据集。
研究目标：以闪电闪击作为深对流（deep convection）活动的替代指标（proxy），探究河风（river breezes）对深对流发展的影响。
实验设计：
- 地面气象观测站共2个：1个设于佩拉达角机场（位于内格罗河、索利蒙伊斯河与亚马孙河汇流处北侧），另1个设于GoAmazon T2观测站（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（Global Lightning Detection Network, GLD360）
分析方法：
- 按每日小时尺度统计闪电闪击次数，以呈现其昼夜循环特征
- 采用GoAmazon强化观测期1（Intensive Observation Period 1, IOP1，2014年2-3月）与强化观测期2（Intensive Observation Period 2, IOP2，2014年9-10月）的数据开展月度变化分析（其中IOP1对应湿季，IOP2对应干季）
Tableau在线链接：https://public.tableau.com/profile/publish/Vento/Painel1#!/publish-confirm