TY  - Data
T1  - Long-term daily snow water equivalent dataset for the Three-River Source region from 1980 to 2020
A1  - Zhao Zisheng
A1  - Xiaohua Hao 
A1  - Li Hangxuan
A1  - Zhong Xinyue
A1  - Wu Xiaodong
DO  - 10.12072/ncdc.nieer-snow.db6815.1
PY  - 1
DA  - 1-01-01
PB  - National Cryosphere Desert Data Center
AB  - High spatial resolution snow water equivalent (SWE) is critical for hydrological, ecological, and disaster research. However, passive microwave SWE products (10/25 km) with coarse spatial resolution can no longer meet modern demands for high precision and fine resolution. This study integrated newly calibrated enhanced-resolution brightness temperature data with optical snow area fraction and snow cover days, employing the deep learning FT-Transformer model to retrieve daily snow depth data at 5 km spatial resolution during the snow cover period (October to April) in the Three-River Source Region. The snow depth was subsequently converted into 5 km spatial resolution SWE data using monthly averaged snow density. This work establishes a robust data foundation for snow resource monitoring in the Three-River Source Region.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/83dac452-a702-47a6-92e9-6cda097bb863
ER  -