ChinaExtreDroEventSet (v1.0): Extreme meteorological drought events over China (1951-2022)

The Dataset and Event list prefixed with <i>ChinaExtreDroEventSet(v1.0)_</i> are the supplement files of the manuscript entitled “Extreme Meteorological Droughts over China (1951—2022): event detection, migration pattern, and diversity of temperature extremes”. The manuscript has been submitted to <i>Advanced in Atmospheric Sciences</i> (AAS) for the second-round review.<br>(1) Dataset<i>ChinaExtreDroEventSet(v1.0)_01_Dataset_AAS_LiuZhou2024_20240330.zip</i> contains data files of Extreme Meteorological Droughts over China (1951—2022).The first-level file name (e.g., Dro-06_P0_m1p0_40pts) consists of a drought event order (e.g., Dro-06), patch code (e.g., P0), parameter configuration for event detection (e.g., m1p0_40pts). Regarding patch code, <i>P0</i> means the unique patch representing the drought event, while <i>Pi</i> (i=1,2,.., N) are separated patches belonged to a complete drought event. Regarding parameter configuration for event detection, (e.g., m1p0_40pts). The string <i>m1p0</i> represents that the input 3D discrete gridded dataset for the DBSCAN algorithm, with SPAI less than −1.0. The string <i>40pts</i>, one significant parameter (i.e., min_samples) of the DBSCAN algorithm (Ester et al., 1996), is the number of sample points within a given search distance. Details are provided in Liu et al. (2023, AOSL).Regarding the specific files of each drought event, the formats and meanings are identical to those in the Glo3DHydroClimEventSet(v1.0) database (Liu and Zhou, 2023).<br>(2) Event ListThe ChinaExtreDroEventSet(v1.0)_02_EventList_AAS_LiuZhou2024_20240330.docx list metrics and ranks of all drought events, as part of the manuscript.

以<i>ChinaExtreDroEventSet(v1.0)_</i>为前缀的数据集与事件列表，为题为《1951—2022年中国极端气象干旱：事件检测、迁移模式与极端温度多样性》的学术稿件的补充文件。该稿件已提交至《大气科学进展》（*Advanced in Atmospheric Sciences*, AAS）进行第二轮审稿。<br>(1) 数据集：<i>ChinaExtreDroEventSet(v1.0)_01_Dataset_AAS_LiuZhou2024_20240330.zip</i> 包含1951—2022年中国极端气象干旱的相关数据文件。其一级文件名（例如`Dro-06_P0_m1p0_40pts`）由三部分构成：干旱事件编号（如`Dro-06`）、斑块编码（如`P0`）、事件检测参数配置（如`m1p0_40pts`）。关于斑块编码：`P0`代表表征完整干旱事件的唯一斑块，而`Pi`（i=1,2,…,N）则为隶属于该完整干旱事件的分离斑块。关于事件检测参数配置：字符串`m1p0`表示用于密度聚类算法（DBSCAN）的输入三维离散格点数据集的空间异常指数（SPAI）小于−1.0；字符串`40pts`为DBSCAN算法的核心参数`min_samples`（最小样本点数），即给定搜索半径内的样本点数量。详细参数说明可参见Liu等人（2023，《AOSL》）的研究。各干旱事件的具体文件格式与含义，与Glo3DHydroClimEventSet(v1.0)数据库（Liu与Zhou，2023）中的内容完全一致。<br>(2) 事件列表：<i>ChinaExtreDroEventSet(v1.0)_02_EventList_AAS_LiuZhou2024_20240330.docx</i> 收录了所有干旱事件的指标与排名，作为本学术稿件的配套组成部分。

搜集汇总

背景与挑战

背景概述

该数据集提供了1951年至2022年中国极端气象干旱事件的详细数据，包括事件检测、迁移模式和温度极端多样性。数据集使用DBSCAN算法进行事件检测，并包含事件列表和详细参数配置，适用于气象学和气候研究。