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全球高分辨率和偏差纠正的CMIP6数据集预测了热应力指标
1Department of Earth, Atmospheric, and Planetary Sciences, Purdue University, West Lafayette, 47907, United States of America. kong97@purdue.edu.
Scientific data
|February 12, 2025
概括
气候变化将增加热应激,影响人类健康和经济. 一个新的全球数据集使用气候模型预测未来的热应激,帮助评估影响.
科学领域:
- 气候科学 气候科学
- 环境科学 环境科学
- 公共卫生 公共卫生
背景情况:
- 气候变化正在增加全球气温,导致更大的热应激.
- 准确预测未来的热应激对于评估健康和社会经济影响至关重要.
- 现有的气候模型需要可靠的数据集,以用于未来的热应力评估.
研究的目的:
- 创建一个预测热应力指标的全球数据集.
- 在各种全球变暖水平下提供预测 (1-4°C高于工业化前).
- 提高热应力预测的可靠性,用于未来的影响评估.
主要方法:
- 来自16个合模型相互比较项目第6阶段 (CMIP6) 全球气候模型 (GCM) 的利用输出.
- 使用ERA5再分析数据应用了一个偏差校正方法.
- 缩小尺度的投影以精细的空间分辨率 (0.25° × 0.25°) 与每3小时的时间频率.
主要成果:
- 开发了一个对干球,湿球和湿球全球温度进行偏差校正的全球数据集.
- 验证了偏差校正,与ERA5.5相比,显示了温度指标的改进复制.
- 该数据集提供了高空间和时间分辨率,用于详细的热应力分析.
结论:
- 新的数据集为研究未来的热应激提供了可靠的资源.
- 它将支持对日益增长的热应激对健康和社会经济影响的研究.
- 这项工作有助于更好地为气候变化影响做好准备和适应战略.
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