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高分辨率的气候变化观测和预测用于评估与热有关的极端现象
Emily Williams1,2, Chris Funk3, Pete Peterson4
1Climate Hazards Center, University of California, Santa Barbara, CA, 93106, USA. emilywilliams@ucmerced.edu.
Scientific data
|March 1, 2024
概括
气候危害中心创建了一个新的数据集 (CHC-CMIP6) 用于分析极端高温和干旱. 这一数据集为近期的未来提供了高分辨率的气候预测,有助于危险评估.
科学领域:
- 气候科学 气候科学
- 环境科学 环境科学
- 气象学 天气学
背景情况:
- 气候变化带来重大风险,需要对极端天气事件进行详细预测.
- 准确的历史和未来气候数据对于理解和减轻气候相关危险至关重要.
研究的目的:
- 开发一个高分辨率的气候预测数据集 (CHC-CMIP6) 用于分析极端湿热和干旱.
- 为最近的过去 (1983-2016) 和近期的未来 (2030年,2050年) 提供每日气候数据.
主要方法:
- 利用全球每日高分辨率的温度,降水和相对湿度网格.
- 从历史数据中推导出每日蒸汽压力缺陷 (VPD) 和最大湿球球温度 (WBGTmax).
- 采用了SSP2-4.5和SSP5-8.5场景中的CMIP6合集,以生成未来的"三角形"场和扰乱历史观测.
主要成果:
- 生成了2030年和2050年的高分辨率 (0.05°) 每日气候预测.
- 为关键气候变量推导出极端事件的每月频率计数.
- 创建了一个全面的数据集,支持对气候危害的分析.
结论:
- CHC-CMIP6数据集为未来的极端气候提供了有价值的见解.
- 本资源支持对湿热和干旱条件进行增强分析.
- 有助于改善气候危害评估和适应规划.
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