Non-isotropic filtering of GRACE temporal gravity for geophysical signal enhancement
By Shin‐Chan Han, C. Shum, C. Jekeli, Chung-Yen Kuo, Clark R. Wilson, Ki-Weon Seo. 2005
175 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Molecular Biology, Oceanography
View Paper: https://www.semanticscholar.org/paper/c491b1d8d8bda9cb5f729a7d5b86ddeebd6c5956
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Citations in the corpus
- Approximate decorrelation and non-isotropic smoothing of time-variable GRACE-type gravity field models (2007, methodology): “Negative sidelobes also exist for the kernel designed by Swenson and Wahr (2006, cf. Fig. 4). This is a clear difference to the non-isotropic Gaussian proposed by Han et al. (2005) , which will always result in positive weights in all directions.”
- 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).”
- Source parameter inversion for recent great earthquakes from a decade‐long observation of global gravity fields (2013, methodology): “GRACE satellites measure the gravity change in the N-S direction (controlled by Mrθ) much better than in the E-W direction (controlled by Mrf) due to their better sampling of along track orbit perturbation [Han et al., 2005].”
- On the postprocessing removal of correlated errors in GRACE temporal gravity field solutions (2009, methodology): “Hence, in practical application, the GRACE results have to be smoothed (e.g., Jekeli 1981; Wahr et al. 1998; Han et al. 2005; Guo et al. 2009).”
- Post‐processing removal of correlated errors in GRACE data (2006, methodology): “…been 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,…”