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Post‐processing removal of correlated errors in GRACE data
Open accessAbstract
Gravity fields produced by the Gravity Recovery and Climate Experiment (GRACE) satellite mission require smoothing to reduce the effects of errors present in short wavelength components. As the smoothing radius decreases, these errors manifest themselves in maps of surface mass variability as long, linear features generally oriented north to south (i.e., stripes). The presence of stripes implies correlations in the gravity field coefficients. Here we examine the spectral signature of these correlated errors, and present a method to remove them. Finally, we apply the filter to a model of surface‐mass variability to show that the filter has relatively little degradation of the underlying geophysical signals we seek to recover.
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Cited by
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Pavlis, N. K., Holmes, S. A., Kenyon, S. C., & Factor, J. K. (2012) · Journal of Geophysical Research: Solid Earth · doi:10.1029/2011jb008916 · Cited by 2,641
Assessment of transboundary river basins for potential hydro-political tensions
De Stefano, L., Petersen-Perlman, J. D., Sproles, E. A., Eynard, J., & Wolf, A. T. (2017) · Global Environmental Change · doi:10.1016/j.gloenvcha.2017.04.008 · Cited by 219
He, Q., Fok, H. S., Chen, Q., & Chun, K. P. (2018) · Sensors · doi:10.3390/s18093076 · Cited by 19
Metadata
- Authors
- Swenson, S., & Wahr, J.
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 2006-04
- Volume
- 33
- Issue
- 8
- ISSN
- 0094-8276 (ISSN-L)
- 1944-8007
- OpenAlex
- W2060576920
- Cited by
- 1,508
- References
- 0
- FWCI
- 27.74
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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