DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D1, Vertical level 10m, Global model CanESM5, scenario ssp370 - 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项目针对五个案例研究，采用统计降尺度（statistical downscaling）技术生成的局地（高分辨率）气候数据。项目详情可访问官网：https://distender.eu/the-project 。 该统计降尺度数据集的源数据来自三款全球气候模型的输出结果，上述模型已通过参数分位数映射（Parametric quantile mapping）法完成偏差校正。 有关研究区域、所提供的变量、层级及时段的详细信息，请参阅README文件。