swu_dhe v1: Sectoral water use responses to droughts and heatwaves

These datasets enables the assessment of sectoral water use responses during droughts, heatwaves and compound events at global, regional and local scales. File names contain the spatial scale of the analysis, water dimension, water sector and period of analysis. Datasets show the median percentile of a sectoral water use (i.e., irrigation, domestic, thermoelectric, manufacturing, livestock) during an extreme event and a normal (non-extreme event) period. Files are in comma-separated values (csv) format for easy reading.

In addition, mid-step calculation results, such us identified droughts, heatwaves and compound events, are also included. File names contain the periods of evaluation and input datasets used. These resulting datasets are in NetCDF (nc) format, with a resolution of 30 arcmin (gridded) at a global scale and at a monthly time step. Moreover, input files on sectoral water demands at local and regional scales are also included.

Datasets included here allow the reproducibility of the analysis of sectoral water use responses during drought, heatwaves and compound events. Scripts used can be found on GitHub (https://doi.org/10.5281/zenodo.8122407).

本数据集可用于评估全球、区域及局地尺度下，干旱、热浪及其复合极端事件期间的部门用水（sectoral water use）响应特征。文件名包含分析的空间尺度、水资源维度、用水部门及分析时段。数据集给出了极端事件与常态（非极端事件）时段内，各用水部门（即灌溉、生活、火电、制造、畜牧）用水的中位百分位数。文件采用逗号分隔值（comma-separated values, CSV）格式，便于读取。
此外，本数据集还包含中间计算结果，例如已识别的干旱、热浪及复合极端事件。文件名包含评估时段与所用输入数据集信息。此类结果数据集采用NetCDF（nc）格式，全球尺度下的空间分辨率为30角分（网格化），时间步长为月度。此外还包含局地与区域尺度的部门需水输入文件。
本数据集收录的内容可支撑干旱、热浪及复合极端事件期间部门用水响应特征分析的可复现性。所用代码脚本可在GitHub平台获取（https://doi.org/10.5281/zenodo.8122407）。