Articles | Volume 16, issue 12
Research article
16 Dec 2022
Research article |  | 16 Dec 2022

Impacts of snow assimilation on seasonal snow and meteorological forecasts for the Tibetan Plateau

Wei Li, Jie Chen, Lu Li, Yvan J. Orsolini, Yiheng Xiang, Retish Senan, and Patricia de Rosnay

Data sets

IMS Daily Northern Hemisphere Snow and Ice Analysis at 1 km, 4 km, and 24 km Resolutions U.S. National Ice Center

Daily Fractional Snow Cover (FSC) Data set over High Asia Y. Qiu, X. Wang, and L. Han

Development of a fine-resolution snow depth product based on the snow cover probability for the Tibetan Plateau: Validation and spatial--temporal analyses ( Dajiang Yan, Ning Ma, and Yinsheng Zhang

A daily, 0.05° Snow depth dataset for Tibetan Plateau (2000-2018) D. Yan, N. Ma, and Y. Zhang

Short summary
Snow assimilation over the Tibetan Plateau (TP) may influence seasonal forecasts over this region. To investigate the impacts of snow assimilation on the seasonal forecasts of snow, temperature and precipitation, twin ensemble reforecasts are initialized with and without snow assimilation above 1500 m altitude over the TP for spring and summer in 2018. The results show that snow assimilation can improve seasonal forecasts over the TP through the interaction between land and atmosphere.