International Research Center of Big Data for Sustainable Development Goals, Beijing, 100094, China.
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China.
Sci Data. 2024 Oct 10;11(1):1116. doi: 10.1038/s41597-024-03966-x.
The human thermal stress indices and datasets are vital for promoting public health and reducing negative environmental impacts as global climate change and extreme meteorological events increase. The current thermal indices generally use an instantaneous or average value to describe thermal stress which cannot reflect the distribution of thermal comfort conditions over time, and there are no global-scale thermal stress datasets with both 0.1° or higher spatial resolution and hourly temporal resolution available yet. A novel human thermal metric, Thermal Stress Duration (TSD), is proposed to represent the accumulative time of different thermal stress levels within a certain period. A high temporal resolution global gridded dataset of human thermal stress metrics (HiGTS) is presented, which consists of hourly gridded maps of Universal Thermal Climate Index (UTCI), Universal Thermal Stress (UTS), and daily TSD at 0.1° × 0.1° spatial resolution over the global land surface, spanning from January 1, 2000, to December 31, 2023.
人类热应激指数和数据集对于促进公共健康和减少负面环境影响至关重要,因为全球气候变化和极端气象事件日益增多。目前的热指数通常使用瞬时或平均值来描述热应激,无法反映热舒适条件随时间的分布情况,而且还没有全球尺度的热应激数据集,具有 0.1°或更高的空间分辨率和每小时的时间分辨率。本文提出了一种新的人体热指标——热应激持续时间(TSD),用于表示在一定时间内不同热应激水平的累积时间。本文提出了一种高时间分辨率的全球网格化人体热应激指标数据集(HiGTS),该数据集包括 2000 年 1 月 1 日至 2023 年 12 月 31 日期间全球陆地表面每小时网格化的通用热气候指数(UTCI)、通用热应激(UTS)和每日 TSD 图,空间分辨率为 0.1°×0.1°。