Post‐processing removal of correlated errors in GRACE data

By S. Swenson, John M. Wahr. 2006

1,457 citations recorded by the source corpus.

Subfields: Astronomy and Astrophysics, Molecular Biology, Oceanography

View Paper: https://www.semanticscholar.org/paper/4b6e0fe3e9a6287c70d64a609e7a8204e4e419cb

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Citations in the corpus

Reducing leakage error in GRACE-observed long-term ice mass change: a case study in West Antarctica (2015, methodology): “Spatial noise of a random nature increases in GRACE high degree and order SH coefficients, while correlated spatial noise (meridional stripes) is associated with correlation between odd and even degree pairs of coefficients (Swenson and Wahr 2006).”
Accuracy of scaled GRACE terrestrial water storage estimates (2012, background): “…from signal degradation due to measurement errors and noise, which are manifested as both random errors that increase as a function of spherical harmonic spectral degree [Wahr et al., 2006], and systematic errors that are correlated within a particular spectral order [Swenson and Wahr, 2006].”
High‐resolution CSR GRACE RL05 mascons (2016, methodology): “We perform regional and global comparison with the results from the spherical harmonic RL05 solutions from CSR postprocessed at GRACE Tellus [Swenson, 2012; Swenson and Wahr, 2006; Landerer and Swenson, 2012; Chambers, 2012; Chambers and Bonin, 2012; Chambers and Willis, 2010], RL05.”
Decorrelated GRACE time-variable gravity solutions by GFZ, and their validation using a hydrological model (2009, methodology): “Swenson and Wahr (2006), on the other hand, derived their method as an order-convolution filter, i.e. a filtered spherical harmonic coefficient is constructed using only the coefficients of the same harmonic order and over the same parity.”
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].”
Improved methods for observing Earth's time variable mass distribution with GRACE using spherical cap mascons (2015, methodology): “…spectral filters in postprocessing of the data, the most common of which include Gaussian smoothing [Wahr et al., 1998] and a destriping algorithm [Swenson and Wahr, 2006], which damp errors in high-degree coefficients and remove correlated errors in coefficients of a fixed order and the same…”
GIA Model Statistics for GRACE Hydrology, Cryosphere, and Ocean Science (2018, methodology): “…2017; Eicker et al., 2016; Wiese et al., 2016), there is an agreement that after spatial and temporal filtering is applied (e.g., Save et al., 2012; Swenson & Wahr, 2006), the uncertainty level for inferring mass changes is ∼1 cm/yr water height equivalent over spatial scales of 300–450 km, though…”
Approximate decorrelation and non-isotropic smoothing of time-variable GRACE-type gravity field models (2007, methodology): “By formulating an empirical model for correlations betweensphericalharmonicGRACEcoefficientsoflike parity, Swenson and Wahr (2006) designed an approximate degree- and order-dependent decorrelation filter along a similar line as we propose in Sect.”
Antarctica, Greenland and Gulf of Alaska land-ice evolution from an iterated GRACE global mascon solution (2013, background): “…applications, such as measuring the mass evolution of the GIS or hydrological basins, requires filtering due to north–south striping artifacts, which arise from the limited longitudinal sampling of the GRACE orbits within monthly time periods (Swenson and Wahr, 2006; Klees and others, 2008).”
Groundwater depletion in the Middle East from GRACE with implications for transboundary water management in the Tigris-Euphrates-Western Iran region (2013, methodology): “Several previous GRACE studies [Wahr et al., 2004; Swenson and Wahr, 2006; Swenson and Milly, 2006; Niu et al., 2006; Syed et al., 2008] point to missing or poor model representations of snow, surface water bodies and reservoirs, complete soil depth, and groundwater storage as the key reason why…”
The design of an optimal filter for monthly GRACE gravity models (2008, methodology): “The destriping approach outlined by Swenson & Wahr (2006) is effective at removing these types of noise artefacts; however, in regions where such stripes do not exist, this filter may actually remove more gravity signal than other filters.”
Detection of Continental Hydrology and Glaciology Signals from GRACE: A Review (2008, methodology): “…2006a), to quantify water fluxes such as evapotranspiration (Rodell et al. 2004b; Ramillien et al. 2006b), precipitation minus evapotranspiration (Swenson and Wahr 2006a, b) and river discharge (Syed et al. 2005, 2007, 2008a, b), and to quantify the continental water variability in time and…”