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气候变化下的未来复合热干事件的高分辨率数据集
Yizhuo Wen1,2, Junhong Guo3, Feng Wang4
1Key Laboratory of Environmental Biotechnology, Xiamen University of Technology, Xiamen, 361024, China.
Scientific data
|September 27, 2024
概括
一个新的数据集追踪了从1980年到2100年的每日复合热干事件 (CHDEs),这对于了解气候变化影响至关重要. 通过对真实世界的数据进行验证,它为全球和区域极端事件研究提供了可靠的指标.
科学领域:
- 气候科学 气候科学
- 环境科学 环境科学
- 数据科学数据科学数据科学
背景情况:
- 全球气候变化正在增加复合热干事件 (CHDEs),对人类息地构成重大风险.
- 现有的气象数据往往缺乏对CHDE研究所需的极端的关注.
- 准确的数据对于分析这些具有影响力的事件的原因和影响至关重要.
研究的目的:
- 开发一个全面的每日复合热干事件 (CHDEs) 数据集,涵盖1980-2100年.
- 为全球和区域气候变化影响研究提供高分辨率数据集.
- 用观测气象数据验证数据集的准确性.
主要方法:
- 利用了美国宇航局地球交易所全球每日缩放式预测 (NEX-GDDP-CMIP6) 数据.
- 开发了一个具有0.25度空间分辨率的数据集,包括热干极端天 (D),降水强度 (prI) 和温度强度 (tasI) 的指标.
- 将数据集与来自中国 (NMIC),欧洲 (ERA5) 和北美 (ERA5) 的观察数据进行了验证.
主要成果:
- CHDEs数据集显示了与观测数据的强烈时间和空间对齐.
- 预测区间 (PI) 的通过率很高:D超过85% (90%PI),prI超过70%,tasI超过95%.
- 数据集的准确性得到证实,证明了其对研究的可靠性.
结论:
- 开发的CHDEs数据集是研究气候变化引起的极端事件影响的宝贵资源.
- 它的高精度和分辨率支持详细的全球和区域分析.
- 该数据集促进了对复合热干事件的原因,影响和缓解策略的研究.
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