中国及周边区域雷暴云特征数据集（2010-2018）

该数据集基于2010–2018年FY-2E卫星（FY-2E）探测全圆盘区域内的TBB产品、云分类（Cloud Classification，CLC）产品以及全球闪电定位网（World Wide Lightning Location Network，WWLLN）的闪电定位数据计算建立雷暴云特征数据集。对WWLLN闪电聚类使用的算法为DBSCAN算法，参考Hutchins et al.（2014）要求雷暴云中的每个闪电簇中的闪电数大于2且都落在半径12 km以内。数据集包括雷暴云时间、位置信息，用拟合椭圆表示的雷暴云形态（长、短轴、旋转角等）信息，表征雷暴云结构的云面积、相当黑体亮度温度（Black Body Temperature，TBB）统计值、包含的闪电信息以及包含的强对流核、闪电簇信息等数据信息。

This thunderstorm cloud feature dataset is constructed using Black Body Temperature (TBB) products, Cloud Classification (CLC) products, and lightning location data from the World Wide Lightning Location Network (WWLLN) over the full disk region observed by the FY-2E satellite during 2010–2018. The clustering algorithm applied to WWLLN lightning data is DBSCAN. Per the requirements of Hutchins et al. (2014), each lightning cluster within a thunderstorm cloud must contain more than 2 lightning strikes, and all strikes in the cluster must be within a 12 km radius. The dataset includes timing and location information of thunderstorm clouds, morphological information of thunderstorm clouds represented by fitted ellipses (including major axis length, minor axis length, rotation angle, etc.), cloud area, statistical values of Black Body Temperature (TBB) that characterize thunderstorm cloud structure, contained lightning information, as well as data such as strong convection cores and lightning clusters.

搜集汇总

背景与挑战

背景概述

该数据集是基于2010-2018年FY-2E卫星和全球闪电定位网数据构建的雷暴云特征数据集，覆盖中国及周边区域，包含雷暴云的时间、位置、形态、云面积、亮度温度统计和闪电信息等关键参数，采用mat格式存储，时间分辨率为时，空间分辨率为1km-10km，总大小为243.77 GB，适用于大气科学和气象灾害研究。