Correction of Hydrological and Oceanic Effects from GRACE Data by Combination of the Steric Sea Level, Altimetry Data and GLDAS Model

In this study, a scheme to estimate oceanic and hydrological effects in the GRACE (Gravity Recovery and Climate Experiment) data is presented. The aim is to reveal tectonic signals for the case of the Sumatra earthquake on 26 December 2004. The variations of hydrological and oceanic effects are esti...

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Veröffentlicht in:Acta geophysica 2016-08, Vol.64 (4), p.1193-1210
Hauptverfasser: Fatolazadeh, Farzam, Voosoghi, Behzad, Raoofian Naeeni, Mehdi
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Voosoghi, Behzad
Raoofian Naeeni, Mehdi
description In this study, a scheme to estimate oceanic and hydrological effects in the GRACE (Gravity Recovery and Climate Experiment) data is presented. The aim is to reveal tectonic signals for the case of the Sumatra earthquake on 26 December 2004. The variations of hydrological and oceanic effects are estimated with the aid of data set of GRACE, altimetry, World Ocean Atlas, and the GLDAS model for a period of January 2003 to December 2006. The time series of computed gravity changes over Sumatra region show some correlations to the deformation resulting from the earthquake occurred in December 2004. The maximum and minimum impacts of hydrological and oceanic effects on gravity changes are about 3 μGal in radial direction and–5 μGal in northward direction. The maximum and minimum amounts of gravitational gradient changes after the correction are 0.2 and–0.25 mE, which indicates the significant influences of hydrological and oceanic sources on the desired signal.
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subjects Altimetry
Earth and Environmental Science
Earth Sciences
Earthquakes
Geophysics/Geodesy
Geotechnical Engineering & Applied Earth Sciences
GLDAS model
GRACE data
gravitational gradient changes
Gravity
hydrological and oceanic effects
Plate tectonics
Seismic activity
Seismology
Structural Geology
World Ocean Atlas
title Correction of Hydrological and Oceanic Effects from GRACE Data by Combination of the Steric Sea Level, Altimetry Data and GLDAS Model
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