![]() ![]() However, it is encouraging to find that both the methodologies of Wang et al. ![]() More work is needed to understand the effect of amplitude restoration in the post-processing of GRACE g-dot signal. We found that the magnitude of the peak gravity signal value can decrease significantly after Gaussian filtering with large average radius filter, but the effect in the Nelson River basin is rather small. From Gaussian filtering of simulated data, Meanwhile, the influence of the value of \(\alpha \), which represents the ratio between GIA-induced uplift rate and GIA-induced gravity-rate-of-change (before the correction for surface uplift), is more obvious in areas with high vertical uplift, but is smaller in the Nelson River basin. Also the GRACE input has a larger effect on the hydrology signal amplitude than the GPS input in the Nelson River basin due to the relatively small uplift signal in this region. Through detailed comparison and analysis of the input data, data post-processing techniques, methods and results of these two works, we find that the different GRACE data post-processing techniques may lead to this difference. However, the results of the two studies in the Nelson River basin differ largely, especially for the magnitude of the hydrology signal which differs about 35%. Geological Survey of Canada Open File, 7317, 2013a, Geophys Res Lett 40(23):6118–6122,, 2013b) did a similar study for the Nelson River basin in North America but applying GPS and absolute gravity measurements. (Postglacial rebound and total water storage variations in the Nelson River drainage basin: a gravity GPS Study, (Geophys Res Lett 22(8):977–980, 1995) and isolated water storage changes from GRACE in North America and Scandinavia with the help of Global Positioning System (GPS) data. Geodesy Geodyn 6(4):267–273, 2015) followed the theory of Wahr et al. However, the results of this method are strongly affected by the uncertainties of the ice and viscosity models of GIA. ![]() A common approach to separate the hydrological signal in previous ice-covered regions is to apply numerical models to simulate the glacial isostatic adjustment (GIA) signals related to the vanished ice load and then remove them from the observed GRACE data. The Gravity Recovery and Climate Experiment (GRACE) satellite mission measures the combined gravity signal of several overlapping processes. ![]()
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