Statistical Applications to Downscale GRACE-Derived Terrestrial Water Storage Data and to Fill Temporal Gaps

Statistical Applications to Downscale GRACE-Derived Terrestrial Water Storage Data and to Fill Temporal Gaps

The Gravity Recovery and Climate Experiment (GRACE) has been successfully used to monitor variations in terrestrial water storage (GRACE<sub>TWS</sub>) and groundwater storage (GRACE<sub>GWS</sub>) across the globe, yet such applications are hindered on local scales by the li...

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Bibliographic Details
Main Authors: Hossein Sahour, Mohamed Sultan, Mehdi Vazifedan, Karem Abdelmohsen, Sita Karki, John A. Yellich, Esayas Gebremichael, Fahad Alshehri, Tamer M. Elbayoumi
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Remote Sensing
Subjects:
downscaling
grace
multivariate regression
artificial neural network
xgboost
Online Access:https://www.mdpi.com/2072-4292/12/3/533

Internet

https://www.mdpi.com/2072-4292/12/3/533

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