DISTENDER Climate Simulations: Statistical Downscaling for CMTo_D1, Vertical level 10m, Global model EC-EARTH3, scenario ssp370 - The Metropolitan City of Turin (CMTo, Italy)

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，运用统计降尺度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。本次统计降尺度所依托的源数据集，来自三个经过偏差校正（采用参数分位数映射法）的全球气候模型的输出结果。关于研究区域、所提供的变量、层级及时段的更多详细信息，请参阅README文件。