GoAmazon convective systems datasets (systems and systems_filtered)

These datasets show convective systems characteristics extracted from TATHU algorithm applied to SIPAM weather radar data during GoAmazon experiment. Both zips stores tables in GeoJSON format with point, grid and geometry information. GeoPandas can open the zip files directly: import geopandas as gpd gds = gpd.read_file("zip:///home/[path to file]/systems.zip") More information about the datasets can be found in the paper "Deep convection lifecycle characteristics: a database from GoAmazon experiment" (Lopes et al., to be submitted).本数据集收录了GoAmazon实验期间，基于应用于SIPAM气象雷达数据的TATHU算法提取得到的对流系统特征。两个压缩包均以GeoJSON格式存储包含点、网格与几何信息的数据表。GeoPandas可直接读取该压缩包，示例代码如下： import geopandas as gpd gds = gpd.read_file("zip:///home/[path to file]/systems.zip") 有关本数据集的更多详细信息，可参阅论文《Deep convection lifecycle characteristics: a database from GoAmazon experiment》（Lopes等，待投稿）。