English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Data Publication

Supporting information to: Resolving geophysical signals by terrestrial gravimetry: a time domain assessment of the correction-induced uncertainty

Authors
/persons/resource/mikolaj

Mikolaj,  Michal
4.4 Hydrology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
IGETS, External Organizations;

/persons/resource/mreich

Reich,  Marvin
4.4 Hydrology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
IGETS, External Organizations;

/persons/resource/guentner

Güntner,  A.
4.4 Hydrology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
IGETS, External Organizations;

External Ressource
No external resources are shared
Fulltext (public)
There are no public fulltexts stored in GFZpublic
Supplementary Material (public)
There is no public supplementary material available
Citation

Mikolaj, M., Reich, M., Güntner, A. (2019): Supporting information to: Resolving geophysical signals by terrestrial gravimetry: a time domain assessment of the correction-induced uncertainty.
https://doi.org/10.5880/GFZ.4.4.2019.001


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_3946891
Abstract
This publication contains the supplementary data set to Mikolaj et al. "Resolving geophysical signals by terrestrial gravimetry: a time domain assessment of the correction-induced uncertainty" (2019, JGR-Solid Earth). The aim of the article is to estimate the uncertainty of terrestrial gravity corrections applied to resolve small-scale gravity effects. The uncertainty of the gravity corrections is assessed using various models of the tidal effect, large-scale hydrology, non-tidal ocean loading, and atmosphere. Taken into account are widely recognized models with global spatial coverage, sufficient temporal resolution and coverage, and available to the public for research purposes. The uncertainty is expressed in terms of a root-mean-square and mean-absolute error of the deviations between all available models. The data set comprises models for 11 sites worldwide. The processing scripts are provided along with an explanatory file with all instructions for results reproduction and application of the uncertainty analysis for an arbitrary location.