Terrestrial water storage (TWS) at high spatial and temporal resolution is deemed necessary for manyhydrological and water resource management applications. Since its launch, Gravity Recovery andClimate Experiment (GRACE) satellite has been providing terrestrial water storage change data at globaland regional scales. However, the application of GRACE data for local-scale water resources managementhas been limited because of its coarse resolution. The purpose of this work is to investigate the feasibilityof downscaling GRACE with a statistical method. In this work, empirical regression methods based on therelationship between GRACE and other hydrological fluxes were applied to downscale a 1 degree griddedGRACE product to 0.25°. Observed groundwater level data were used to validate the downscalingperformance. Results indicated that GRACE TWS had good relationship with storage change obtained bywater balance equation. Statistical regression downscaling method can improve GRACE data resolutioneffectively.
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