Snow depth

A long-term daily snow depth dataset for the Northern Hemisphere was prepared by combining multi-source snow depth product data, environmental factor variables, and ground-observed snow depth data using machine learning methods. The spatiotemporal characteristics of average snow depth and maximum snow depth from 1980 to 2019 were then analyzed on the Qinghai-Tibet Plateau using this data.本研究借助机器学习方法，融合多源雪深产品数据、环境因子变量与地面实测雪深数据，构建了一套北半球长期逐日雪深数据集。随后基于该数据集，针对1980年至2019年青藏高原的平均雪深与最大雪深时空特征展开了分析。