Reconstructing GRACE-like TWS anomalies for the Canadian landmass using deep learning and land surface model

Reconstructing GRACE-like TWS anomalies for the Canadian landmass using deep learning and land surface model

Terrestrial water storage (TWS) is an essential part of the global water cycle. Long-term information of observed and modeled TWS is fundamental to analyze water resources, meteorological extreme events (e.g., droughts and floods), and the climate change impacts. Over the past several decades, hydro...

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Bibliographic Details
Main Authors: Qiutong Yu, Shusen Wang, Hongjie He, Ke Yang, Lingfei Ma, Jonathan Li
Format: Article
Language:English
Published: Elsevier 2021-10-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
GRACE
Land Surface Model
Terrestrial Water Storage
Deep Learning
Online Access:http://www.sciencedirect.com/science/article/pii/S0303243421001112

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http://www.sciencedirect.com/science/article/pii/S0303243421001112

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