On the determination of coseismic deformation models to improve access to geodetic reference frame conventional epochs in low-density GNSS networks-Reference-Cited by-同舟云学术

On the determination of coseismic deformation models to improve access to geodetic reference frame conventional epochs in low-density GNSS networks

Published:2023-05 Issue:5 Volume:97 Page:
ISSN:0949-7714
Container-title:Journal of Geodesy
language:en
Short-container-title:J Geod

Author:

Gómez Demián D.^ORCID,Figueroa Mara A.^ORCID,Sobrero Franco S.^ORCID,Smalley Robert^ORCID,Bevis Michael G.^ORCID,Caccamise Dana J.^ORCID,Kendrick Eric^ORCID

Funder

National Science Foundation

Instituto Geográfico Nacional de Argentina

The University of Memphis, Center for Earthquake Research and Information

Division of Geodetic Science, School of Earth Sciences, The Ohio State University

Publisher

Springer Science and Business Media LLC

Subject

Computers in Earth Sciences,Geochemistry and Petrology,Geophysics

Link

https://link.springer.com/content/pdf/10.1007/s00190-023-01734-0.pdf

Reference42 articles.

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2. Báez JC, Leyton F, Troncoso C et al (2018) The Chilean GNSS network: current status and progress toward early warning applications. Seismol Res Lett 89:1546–1554. https://doi.org/10.1785/0220180011

3. Barnhart WD, Murray JR, Briggs RW et al (2016) Coseismic slip and early afterslip of the 2015 Illapel, Chile, earthquake: Implications for frictional heterogeneity and coastal uplift. J Geophys Res Solid Earth 121:6172–6191. https://doi.org/10.1002/2016JB013124

4. Bro R, De Jong S (1997) A fast non-negativity-constrained least squares algorithm. J Chemom 11:393–401

5. Dong J, Sun W, Zhou X, Wang R (2014) Effects of Earth’s layered structure, gravity and curvature on coseismic deformation. Geophys J Int 199:1442–1451. https://doi.org/10.1093/gji/ggu342

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