一个1公里长的月度数据集,记录了中国过去和未来的气候变化
Xiaofei Hu1, Shaolin Shi1, Borui Zhou1
1College of Life Sciences, Zhejiang Normal University, 321004, Jianhua, China.
Scientific data
|March 14, 2025
概括
这项研究为中国提供了高分辨率的气候数据集,对于了解气候变化影响至关重要. 这些数据在各种场景中提供可靠的历史和未来预测,帮助生态和气候研究.
科学领域:
- 环境科学 环境科学
- 气候学 气候学 气候学
- 数据科学数据科学数据科学
背景情况:
- 高分辨率的气候数据对于评估全球不同部门的气候变化影响至关重要.
- 了解这些影响需要准确,本地化的气候信息.
研究的目的:
- 为中国建立一个高分辨率 (≈1公里) 的气候数据集.
- 在不同的排放场景下提供可靠的历史 (1991-2020) 和未来 (2021-2100) 气候数据.
- 用偏差纠正数据支持生态和气候影响研究.
主要方法:
- 使用ANUSPLIN软件进行历史数据插值,以观察结果达到0.91以上的匹配.
- 采用角校正 (DC) 下调,以提高通用循环模型 (GCM) 模拟的准确性.
- 综合了来自10个GCM的数据,包括一个整体模型,跨越三个共享社会经济路径 (SSPs).
主要成果:
- 在0.01°分辨率下生成了5个基本和23个生物气候变量的30年平均数据集.
- DC 校正将 GCM 模拟偏差降低了 0.69% - 58.63%.
- 该数据集为中国提供每月格式化历史和偏差纠正的未来气候数据.
结论:
- 开发的数据集证明了可靠的质量和准确性.
- 为中国提供有价值的高分辨率,偏差纠正的气候数据.
- 促进深入的生态和气候影响评估.
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