从2000年到2020年,中国的每日4公里的天气数据集
Jielin Zhang1, Bo Liu2, Siqing Ren2
1State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, College of Soil and Water Conservation Science and Engineering (Institute of Soil and Water Conservation), Northwest A&F University, Yangling, 712100, China.
Scientific data
|November 14, 2024
概括
一个新的高分辨率中国气象数据集 (CDMet) 创建于2000年至2020年. 这些每天的网格数据有助于气候变化研究和环境建模.
科学领域:
- 环境科学 环境科学
- 气候科学 气候科学
- 气象学 天气学
背景情况:
- 高分辨率的气象数据对于气候变化研究至关重要.
- 现有的数据集可能缺乏区域研究所需的空间细节.
研究的目的:
- 为中国大陆构建一个每日网格化的气象数据集,分辨率为4公里.
- 为环境建模提供全面的气象变量.
主要方法:
- 开发了2000年至2020年的中国每日气象数据集 (CDMet).
- 采用了使用薄板支线和随机森林方法的自适应式插值方案.
- 综合位置,地形信息和重新分析数据作为共变量.
主要成果:
- CDMet数据集包括九个主要的气象变量.
- 验证证实了可接受的准确性,季节性变化和空间精度.
- 数据集的准确性与现有的高分辨率气象数据集相美.
结论:
- CDMet为气候变化影响评估提供了宝贵的资源.
- 数据集的高分辨率和全面变量支持水文,农业和生态建模.
- CDMet提高了中国科学研究气象数据的可用性.
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