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Statistical Applications to Downscale GRACE-Derived Terrestrial Water Storage Data and to Fill Temporal Gaps by Sahour, Hossein; Sultan, Mohamed; Vazifedan, Mehdi; Abdelmohsen, Karem; Karki, Sita; Yellich, John A.; Gebremichael, Esayas; Alshehri, Fahad; Elbayoumi, Tamer M. is a Environmental Science article available to read on EtoBox.

What is Statistical Applications to Downscale GRACE-Derived Terrestrial Water Storage Data and to Fill Temporal Gaps about?

The Gravity Recovery and Climate Experiment (GRACE) has been successfully used to monitor variations in terrestrial water storage (GRACETWS) and groundwater storage (GRACEGWS) across the globe, yet such applications are hindered on local scales by the limited spatial resolution of GRACE data. Using the Lower Peninsula of Michigan as a test site, we developed optimum procedures to downscale GRACE Release-06 monthly mascon solutions. A four-fold exercise was conducted. Cluster analysis was performed to identify the optimum number and distribution of clusters (areas) of contiguous pixels of similar geophysical signals (GRACETWS time series); three clusters were identified (cluster 1: 13,700 km2; cluster 2: 59,200 km2; cluster 3: 33,100 km2; Step I). Variables (total precipitation, normalized difference vegetation index (NDVI), snow cover, streamflow, Lake Michigan level, Lake Huron level, land surface temperature, soil moisture, air temperature, and evapotranspiration (ET)), which could potentially contribute to, or correlate with, GRACETWS over the test site were identified, and the dataset was randomly partitioned into training (80%) and testing (20%) datasets (Step II). Multivariat

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

It is typically read by researchers, students, and practitioners in Environmental Science.

Author
Sahour, Hossein; Sultan, Mohamed; Vazifedan, Mehdi; Abdelmohsen, Karem; Karki, Sita; Yellich, John A.; Gebremichael, Esayas; Alshehri, Fahad; Elbayoumi, Tamer M.
Publisher
MDPI AG; Multidisciplinary Digital Publishing Institute (MDPI); Basel: MDPI, 2009- (ISSN 2072-4292)
Published
2020
Language
EN
Field
Environmental Science (Physical Sciences)

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