DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level 2000m, Global model MPI-ESM1-2-HR, scenario ssp245 - The North-east of the Netherlands (HUAS)
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资源简介:
Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping). More details about the domains, the provided variable, levels and periods are provided in the README file.
本数据集为欧盟DISTENDER项目针对5个案例研究采用统计降尺度技术生成的局地(高分辨率)气候数据,项目官方网址为https://distender.eu/the-project。 该统计降尺度数据集源自3个已完成偏差校正(参数分位数映射法,Parametric quantile mapping)的全球气候模型的输出结果。 有关研究区域、所提供的变量、数据层级与时间周期的更多细节,请参阅README文件。
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Zenodo创建时间:
2025-11-26



