Combining Snow Depth From FY-3C and In Situ Data Over the Tibetan Plateau Using a Nonlinear Analysis Method

Combining Snow Depth From FY-3C and In Situ Data Over the Tibetan Plateau Using a Nonlinear Analysis Method

Snow cover over the Tibetan Plateau plays a vital role in the regional and global climate system because it affects not only the climate but also the hydrological cycle and ecosystem. However, high-quality snow data are hindered due to the sparsity of observation networks and complex terrain in the...

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Bibliographic Details
Main Authors: Aixia Feng, Feng Gao, Qiguang Wang, Aiqing Feng, Qiang Zhang, Yan Shi, Zhiqiang Gong, Guolin Feng, Yufei Zhao
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Physics
Subjects:
snow depth
Tibetan Plateau
phase space reconstruction
FY-3C satellite
nonlinear analysis method
Online Access:https://www.frontiersin.org/articles/10.3389/fphy.2021.672288/full

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