DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D2, Vertical level sfc, Global model MPI-ESM1-2-HR, 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项目针对五项案例研究，采用统计降尺度技术（statistical downscaling techniques）生成的局地（高分辨率）气候数据。项目官方网址：https://distender.eu/the-project。 该统计降尺度数据集的源数据为经过偏差校正（参数分位数映射法，Parametric quantile mapping）的三个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详细信息，请参阅README文件。