Attenuation effect on seasonal basin-scale water storage changes from GRACE time-variable gravity |
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Authors: | J L Chen C R Wilson J S Famiglietti Matt Rodell |
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Institution: | (1) Center for Space Research, University of Texas at Austin, 3925 W. Braker Lane, Suite 200, Austin, TX 78759-5321, USA;(2) Department of Geological Sciences, University of Texas at Austin, 1 University Station C1100, Austin, TX 78712-0254, USA;(3) Department of Earth System Science, University of California, Irvine, CA 92697, USA;(4) Hydrological Sciences Branch, Code 614.3, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA |
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Abstract: | In order to effectively recover surface mass or geoid height changes from the gravity recovery and climate experiment (GRACE)
time-variable gravity models, spatial smoothing is required to minimize errors from noise. Spatial smoothing, such as Gaussian
smoothing, not only reduces the noise but also attenuates the real signals. Here we investigate possible amplitude attenuations
and phase changes of seasonal water storage variations in four drainage basins (Amazon, Mississippi, Ganges and Zambezi) using
an advanced global land data assimilation system. It appears that Gaussian smoothing significantly affects GRACE-estimated
basin-scale seasonal water storage changes, e.g., in the case of 800 km smoothing, annual amplitudes are reduced by about
25–40%, while annual phases are shifted by up to 10°. With these effects restored, GRACE-estimated water storage changes are
consistently larger than model estimates, indicating that the land surface model appears to underestimate terrestrial water
storage change. Our analysis based on simulation suggests that normalized attenuation effects (from Gaussian smoothing) on
seasonal water storage change are relatively insensitive to the magnitude of the true signal. This study provides a numerical
approach that can be used to restore seasonal water storage change in the basins from spatially smoothed GRACE data. |
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Keywords: | GRACE Spatial smoothing Water storage estimation Seasonal variations Attenuation effect |
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