A long-term daily gridded snow depth dataset for the Northern Hemisphere from 1980 to 2019 based on machine learning

• Main Authors: Hu, Yanxing, Che, Tao, Dai, Liyun, Zhu, Yu, Xiao, Lin, Deng, Jie, Li, Xin
• Format: Text
• Language: English
• Published: 2022
• Subjects: Kendall; Merra; Sodankylä
• Online Access: https://doi.org/10.5194/essd-2022-63; https://essd.copernicus.org/preprints/essd-2022-63/

A high-quality snow depth product is very import for cryospheric science and its related disciplines. Current long time-series snow depth products covering the Northern Hemisphere can be divided into two categories: remote sensing snow depth product and reanalysis snow depth products. However, exist...