A method for reconstructing global ocean-induced surface displacements from 
land-based in-situ stations

Kuhlmann, J.; Rogozhina, I.; Dill, R.; Bergmann-Wolf, I.; Thomas, M.

doi:10.1016/j.jog.2014.10.003

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A method for reconstructing global ocean-induced surface displacements from land-based in-situ stations

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/persons/resource/julian

Kuhlmann, J.
1.3 Earth System Modelling, 1.0 Geodesy and Remote Sensing, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
Publikationen aller GRACE-unterstützten Projekte, Deutsches GeoForschungsZentrum;

/persons/resource/valmont

Rogozhina, I.
1.3 Earth System Modelling, 1.0 Geodesy and Remote Sensing, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
Publikationen aller GRACE-unterstützten Projekte, Deutsches GeoForschungsZentrum;

/persons/resource/dill

Dill, R.
1.3 Earth System Modelling, 1.0 Geodesy and Remote Sensing, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
Publikationen aller GRACE-unterstützten Projekte, Deutsches GeoForschungsZentrum;

/persons/resource/ingab

Bergmann-Wolf, I.
1.3 Earth System Modelling, 1.0 Geodesy and Remote Sensing, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
Publikationen aller GRACE-unterstützten Projekte, Deutsches GeoForschungsZentrum;

/persons/resource/mthomas

Thomas, M.
1.3 Earth System Modelling, 1.0 Geodesy and Remote Sensing, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
Publikationen aller GRACE-unterstützten Projekte, Deutsches GeoForschungsZentrum;

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Citation

Kuhlmann, J., Rogozhina, I., Dill, R., Bergmann-Wolf, I., Thomas, M. (2015): A method for reconstructing global ocean-induced surface displacements from land-based in-situ stations. - Journal of Geodynamics, 83, 18-27.
https://doi.org/10.1016/j.jog.2014.10.003

Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_735892

Abstract

We present a method for reconstructing a global, time-variable field of displacements of the Earth's crust caused by non-tidal ocean loading (NTOL) from a small number of local displacement measurements. This is achieved by the decomposition of the NTOL field into empirical orthogonal functions (EOFs), which we obtain from GRACE satellite data. With this method, we achieve the reproduction of a highly correlated displacement signal across 95% of the land surface and the reduction of residual continental displacement from up to 1 mm to mostly below 0.5 mm on monthly GRACE data. The extrapolation of the displacement signal into the time for which no global EOF patterns can be recovered is exemplarily shown. Further, the possibilities and limitations of applying the method on submonthly GRACE products are investigated. We conclude that the described method can be a useful complement to existing data sets of ocean mass-induced surface displacement, especially when in-situ measurement accuracy has improved.