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全球高分辨率综合热量指数数据集,从1950年到2024年.
Abdul Malik1, Sateesh Masabathini1, Mohsin Ahmed Shaikh2
1Climate Change Center, King Abdullah University of Science and Technology, Jeddah, Saudi Arabia.
Scientific data
|January 15, 2026
概括
一个新的综合热量指数 (CHI) 数据集提供了高分辨率的每小时热应力数据,从1950年到2024年. 该资源有助于理解和减轻加剧的热浪对弱势群体和气候风险的影响.
科学领域:
- 环境科学 环境科学
- 气候科学 气候科学
- 公共卫生 公共卫生
背景情况:
- 全球气温正在上升,导致更强烈和更频繁的热浪.
- 弱势群体,特别是低收入社区的弱势群体,受到极端高温的影响不成比例.
- 高分辨率数据对于评估热浪对劳动生产率,公共卫生和气候风险的影响至关重要.
研究的目的:
- 介绍综合热量指数 (CHI) 数据集,这是一个新的高分辨率每小时数据集.
- 提供热应激的空间和时间趋势的长期视角.
- 支持气候影响研究和适应规划.
主要方法:
- 使用ERA5和ERA5-Land重新分析来导出数据集.
- 创建了一个高分辨率 (0.1° × 0.1°) 的每小时数据集,涵盖1950年至2024年的时间.
- 包括13个热应力指数,如致命热应力指数 (Ls),湿球温度和通用热气候指数.
主要成果:
- CHI数据集为全球热应激趋势提供了独特的长期观点.
- Ls值与死亡率有实证联系,允许识别危及生命的热事件.
- 数据集对湿度,辐射和风很敏感,支持室内和室外应用.
结论:
- CHI数据集是理解和解决极端高温影响的关键资源.
- 由于L对土壤水分的敏感性,可以更好地评估农业地区的热应激.
- 该数据集对于为气候适应战略和公共卫生干预提供信息至关重要.
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