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

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

ABSTRACTA 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 products and reanalysis snow depth products. Howev...

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Bibliographic Details
Main Authors: Yanxing Hu, Tao Che, Liyun Dai, Yu Zhu, Lin Xiao, Jie Deng, Xin Li
Format: Article
Language:English
Published: Taylor & Francis Group 2023-03-01
Series:Big Earth Data
Subjects:
Snow depth datasets
machine learning
data fusion
Northern Hemisphere
Online Access:https://www.tandfonline.com/doi/10.1080/20964471.2023.2177435

Internet

https://www.tandfonline.com/doi/10.1080/20964471.2023.2177435

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