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一个基于CORDEX的全球数据集,划分城市区域及其周围环境,以评估大城市的气候变化
Javier Diez-Sierra1, Yaiza Quintana2, Gaby S Langendijk3
1Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander, Spain. diezs@ifca.unican.es.
Scientific data
|December 18, 2025
概括
一个新的全球数据集使用区域气候模型模拟来确定城市和农村地区. 本资源有助于理解城市气候变化和城市热岛效应.
科学领域:
- 气候科学 气候科学
- 环境科学 环境科学
- 地理空间分析是什么
背景情况:
- 城市地区对区域气候有很大影响.
- 之前的研究缺乏全面的全球数据集,用于城乡气候分析.
- 科尔德克斯关于城市环境和区域气候变化的旗舰试点研究旨在解决这一差距.
研究的目的:
- 使用区域气候模型 (RCM) 模拟,创建城市和农村地区的第一个全球数据集.
- 为分析城市气候变化和城市热岛效应提供工具.
- 为未来的高分辨率气候建模研究奠定基础.
主要方法:
- 使用CORDEX-CORE和EURO-CORDEX的RCM模拟来划定城市和农村地区的界限.
- 使用了特定于模型的城市分数变量和静态输入.
- 在25公里的全球和12.5公里的欧洲分辨率进行分析.
- 开发了一个基于Python的工作流程,用于扩展分析和工具应用.
主要成果:
- 已经生成了城市和农村地区的全球数据集.
- 该数据集涵盖了全球一组具有代表性的大城市.
- 为进一步分析和评估城市气候影响提供了一个Python工作流.
结论:
- 开发的数据集和工具为城市气候变化评估提供了一致和可重复的方法.
- 该资源支持当前和未来的区域气候预测和高分辨率建模工作.
- 它为全球调查城市气候现象提供了至关重要的基础.
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