Methods for inferring regional surface‐mass anomalies from Gravity Recovery and Climate Experiment (GRACE) measurements of time‐variable gravity

By S. Swenson, John M. Wahr. 2002

542 citations recorded by the source corpus.

Subfields: Geophysics, Molecular Biology, Oceanography

View Paper: https://www.semanticscholar.org/paper/f3799154d5f875281b0fb7159e1d20cf074fec29

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Citations in the corpus

Improving global terrestrial evapotranspiration estimation using support vector machine by integrating three process-based algorithms. (2017, methodology): “In addition, the Gravity Recovery and Climate Experiment (GRACE) satellites datasets (Center for Space Research Release 4: CSR RL04) from 2003 to 2005 were also interpolated into 0.5° and used to obtain the water storage changes (TWSC) (Swenson and Wahr, 2002).”
Preliminary observations of global ocean mass variations with GRACE (2004, methodology): “Swenson and Wahr [2002] describe a method to compute mean water mass variations over a specific region using an averaging kernel that has a value of 1 inside the region and 0 outside the region, and constructed to minimize the errors in the mass recovery.”
Time‐variable gravity observations of ice sheet mass balance: Precision and limitations of the GRACE satellite data (2013, methodology): “These include Gaussian smoothing [Wahr et al., 1998], destriping [Swenson and Wahr, 2006], convolving with an averaging function [Swenson and Wahr, 2002], fitting mascons to the Stokes coefficients [Tiwari et al., 2009], and using empirical orthogonal functions to reduce the errors in monthly…”
Replacing GRACE/GRACE‐FO C30 With Satellite Laser Ranging: Impacts on Antarctic Ice Sheet Mass Change (2020, methodology): “To extract the time series of mass change from the corrected monthly spherical harmonics, we apply an averaging kernel of the ice sheet following the method of Swenson and Wahr (2002).”
Approximate decorrelation and non-isotropic smoothing of time-variable GRACE-type gravity field models (2007, methodology): “From these fits, we may assume that an a somewhere in the order of ∼1013 will provide the ‘optimal’ non-isotropic (Swenson and Wahr 2002) kernel, which equals to the ‘Wiener’ filter in the terminology of Sasgen et al. (2006) for isotropic smoothing.”
The Observed State of the Water Cycle in the Early Twenty-First Century (2015, methodology): “Average continental water storage was computed using the method of averaging kernels convolved with the GRACE coefficients, with results scaled based on convolutions with simulated data in order to restore the power of the signal reduced by the resolution of GRACE (Swenson and Wahr 2002).”
Localized spectral analysis on the sphere (2005, background): “…et al. 2003; Hoogenboom et al. 2004), planetary magnetic fields (e.g. Voorhies et al. 2002), geodesy (e.g. Albertella et al. 1999), hydrology (e.g. Swenson & Wahr 2002; Swenson et al. 2003), but also cosmology (e.g. Hivon et al. 2002; Efstathiou 2004), medical imaging (e.g. Polyakov 2002) and…”
Post‐processing removal of correlated errors in GRACE data (2006, methodology): “…proposed to smooth GRACE data: an isotropic Gaussian filter [Wahr et al., 1998], an anisotropic filter based on the calibrated error spectrum [Han et al., 2005], and optimal filters based on a priori estimates of signal and measurement error variances [Swenson and Wahr, 2002; Seo andWilson, 2005].”
Time‐variable gravity from GRACE: First results (2004, methodology): “We use a method described by Swenson and Wahr [2002] and Swenson et al.”
The Observed State of the Energy Budget in the Early Twenty-First Century (2015, background): “…processes is required for deriving vertical profiles of latent heating, the total condensate removed from the atmosphere in the form of precipitation provides a tight constraint on the column-integrated latent heat release on the large time and space scales considered here (Tao et al. 1993).”
Accuracy of scaled GRACE terrestrial water storage estimates (2012, methodology): “For example, mass loss estimates of the Greenland and Antarctic ice sheets from GRACE can be obtained in an iterative procedure [Chen et al., 2009], or by designing optimized special-averaging kernels [Swenson and Wahr, 2002].”
Quantifying renewable groundwater stress with GRACE (2015, methodology): “Gravity anomalies for this time period (January 2003 to December 2013) underwent processing to obtain an estimate of the average terrestrial water storage anomalies for each of the 37 study aquifers [Swenson and Wahr, 2002; Wahr et al., 2006; Swenson and Wahr, 2006].”
Spatiospectral Concentration on a Sphere (2004, unknown): “, [19, 32, 54, 63, 68], are inferior in the extraction of localized statistical information [49, 74, 76].”
Detection of Continental Hydrology and Glaciology Signals from GRACE: A Review (2008, background): “Swenson and Wahr (2002) proposed another type of averaging kernel based on the Lagrange multipliers, corresponding to the separate minimization of contributions of measurement and leakage error to signals, by using a leakage function defined as the difference in shape between exact and smoothed…”
The design of an optimal filter for monthly GRACE gravity models (2008, background): “AS-type filters and IS-type filters have been suggested by many authors, though the objective function they minimize is different, unknown, or simply does not exist (e.g. Wahr et al. 1998; Swenson & Wahr 2002; Han et al. 2005; Swenson & Wahr 2006; Seo et al. 2006).”