DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D0, Vertical level sfc, Global model CanESM5, scenario ssp245 - The North-east of the Netherlands (HUAS)

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项目中针对5个案例研究，采用统计降尺度（statistical downscaling）技术生成的局地高分辨率气候数据。项目详情可访问：https://distender.eu/the-project 。本次统计降尺度的源数据集，源自3台全球气候模型（global climate models）的输出结果，这些模型已通过参数分位数映射法（Parametric quantile mapping）完成偏差校正。关于研究区域、所提供的变量、层级及时段的更多细节，请参阅README文件。