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

Cite as:

Mikolaj, Michal; Reich, Marvin; Güntner , Andreas (2019): Supporting Information to: Resolving geophysical signals by terrestrial gravimetry: a time domain assessment of the correction-induced uncertainty. GFZ Data Services. https://doi.org/10.5880/GFZ.4.4.2019.001

Status

I   N       R   E   V   I   E   W : Mikolaj, Michal; Reich, Marvin; Güntner , Andreas (2019): Supporting Information to: Resolving geophysical signals by terrestrial gravimetry: a time domain assessment of the correction-induced uncertainty. GFZ Data Services. https://doi.org/10.5880/GFZ.4.4.2019.001

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. Please consult the readme file for further details on the data.

Authors

Contact

  • Mikolaj, Michal; GFZ German Research Centre for Geosciences, Potsdam, Germany;
  • Reich, Marvin; GFZ German Research Centre for Geosciences, Potsdam, Germany;

Keywords

Non-tidal ocean loading, IGETS

GCMD Science Keywords

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    Files

    License: CC BY 4.0

    Dataset Description

    Supplement to