The vertical land motion from GPS observation is of great significance for studying the changes in glacier mass in polar regions. However, there is significant uncertainty when using GPS to derive the vertical velocity field due to the spatial variability of background noise within GPS time series, which may be induced by surface environmental loads. In this study, we evaluate the influence of the spatial characteristics of background noise on the velocity field and its uncertainty in the GPS continuous observations of Antarctica and Greenland. GPS time series are corrected using surface environmental loading models including atmospheric, non-tidal ocean, and hydrological loads. Additionally, the surface elastic deformation is modeled using gravity satellite observations from GRACE/GRACE-FO. Through the analysis of background noise characteristics in the GPS time series before and after correction, it is concluded that the correction of environmental load deformation can effectively reduce the background noise in GPS time series. The correction of atmospheric and non-tidal oceanic loads resulted in a reduction of the background noise spectrum index at most stations, with approximately 46.1% and 84.6% of the total GPS stations in Antarctica and Greenland, respectively. We find that the improvement in GPS velocity uncertainty estimation is not obvious. In addition, we analyze the spatial heterogeneity of background noise, which reveals that the spatial characteristics of background noise parameters and velocity uncertainties vary with latitude.
机构:
Univ Porto, P-4430146 Vila Nova De Gaia, PortugalUniv Porto, P-4430146 Vila Nova De Gaia, Portugal
Bos, M. S.
Fernandes, R. M. S.
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Univ Beira Interior, CGUL IDL, P-6201001 Covilha, Portugal
Delft Univ Technol, DEOS, NL-2629 HS Delft, NetherlandsUniv Porto, P-4430146 Vila Nova De Gaia, Portugal
Fernandes, R. M. S.
Williams, S. D. P.
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Proudman Oceanog Lab, Liverpool L3 5DA, Merseyside, EnglandUniv Porto, P-4430146 Vila Nova De Gaia, Portugal
Williams, S. D. P.
Bastos, L.
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Univ Porto, P-4430146 Vila Nova De Gaia, PortugalUniv Porto, P-4430146 Vila Nova De Gaia, Portugal
机构:
La Rochelle Univ, CNRS, LIENSs, La Rochelle, France
Royal Observ Belgium, Uccle, Belgium
Univ Liege, Dept Geog, Liege, BelgiumLa Rochelle Univ, CNRS, LIENSs, La Rochelle, France
Gobron, Kevin
Rebischung, Paul
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Univ Paris, Inst Phys Globe Paris, CNRS, IGN, Paris, France
IGN, ENSG Geomat, Paris, FranceLa Rochelle Univ, CNRS, LIENSs, La Rochelle, France
Rebischung, Paul
Van Camp, Michel
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机构:
Royal Observ Belgium, Uccle, BelgiumLa Rochelle Univ, CNRS, LIENSs, La Rochelle, France
机构:
Univ Porto, P-4430146 Vila Nova De Gaia, PortugalUniv Porto, P-4430146 Vila Nova De Gaia, Portugal
Bos, M. S.
Fernandes, R. M. S.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Beira Interior, CGUL IDL, P-6201001 Covilha, Portugal
Delft Univ Technol, DEOS, NL-2629 HS Delft, NetherlandsUniv Porto, P-4430146 Vila Nova De Gaia, Portugal
Fernandes, R. M. S.
Williams, S. D. P.
论文数: 0引用数: 0
h-index: 0
机构:
Proudman Oceanog Lab, Liverpool L3 5DA, Merseyside, EnglandUniv Porto, P-4430146 Vila Nova De Gaia, Portugal
Williams, S. D. P.
Bastos, L.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Porto, P-4430146 Vila Nova De Gaia, PortugalUniv Porto, P-4430146 Vila Nova De Gaia, Portugal
机构:
La Rochelle Univ, CNRS, LIENSs, La Rochelle, France
Royal Observ Belgium, Uccle, Belgium
Univ Liege, Dept Geog, Liege, BelgiumLa Rochelle Univ, CNRS, LIENSs, La Rochelle, France
Gobron, Kevin
Rebischung, Paul
论文数: 0引用数: 0
h-index: 0
机构:
Univ Paris, Inst Phys Globe Paris, CNRS, IGN, Paris, France
IGN, ENSG Geomat, Paris, FranceLa Rochelle Univ, CNRS, LIENSs, La Rochelle, France
Rebischung, Paul
Van Camp, Michel
论文数: 0引用数: 0
h-index: 0
机构:
Royal Observ Belgium, Uccle, BelgiumLa Rochelle Univ, CNRS, LIENSs, La Rochelle, France