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全球偏差纠正的CORDEX数据集在半度分辨率下
Fuseini Yakubu1, Jürgen Böhner2, Udo Schickhoff2
1HAREME Lab, Institute of Geography, ESRAH, Universität Hamburg, Hamburg, Germany. fuseini.yakubu@studium.uni-hamburg.de.
Scientific data
|November 12, 2025
概括
新的GloBCORD-HD气候数据集为全球影响评估提供了一致的,偏差纠正的模拟. 这种方法提高了气候模型对未来预测和历史分析的可靠性.
科学领域:
- 气候科学 气候科学
- 环境科学 环境科学
- 地球系统科学 地球系统科学
背景情况:
- 协调区域气候缩小实验 (CORDEX) 提供了高分辨率的气候数据,但遭受了不一致的偏差纠正.
- 在CORDEX中不同的观测数据集和校正方法导致影响评估不可靠.
- 跨部门影响模型相互比较项目 (ISIMIP) 社区需要一致的气候模拟来进行强大的影响研究.
研究的目的:
- 引入准全球性的GloBCORD-HD数据集,以进行一致的气候影响评估.
- 在多个CORDEX实验中使用统一的方法提供偏差纠正的气候模拟.
- 通过提高气候数据的一致性和可靠性,使全球影响评估能够强大.
主要方法:
- 为历史时期 (1950-2019) 和未来 (2020-2099) 开发了每日时间和0.5°空间分辨率的GloBCORD-HD数据集.
- 从MPI-M-MPI-ESM-LR,ICHEC-EC-EARTH和NOAA-GFDL-GFDL-ESM2M的CORDEX实验中使用ISIMIP3BASD v2.5算法进行了偏差纠正.
- 利用GSWP3-W5E5 v2.0观测数据集在所有区域域进行偏差校正.
主要成果:
- 与原始CORDEX数据相比,GloBCORD-HD数据集显示了较小的偏差.
- 改善了区域气候极端的表现,并提高了气候信号的一致性.
- 实现了无的边界过渡,促进了全球范围的分析.
结论:
- GloBCORD-HD为全球气候影响评估提供了一致可靠的基础.
- 统一偏差校正方法提高了未来气候变化预测的稳定性.
- 这些数据集支持改善对受气候变化影响的各个部门的理解和决策.
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