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ZENODO
Dataset . 2016
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2016
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2016
License: CC BY
Data sources: ZENODO
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A suite of 2-arcsec surface gravitational maps of the Slovak Republic up to the full gravitational tensor

Authors: Bucha, Blazej;

A suite of 2-arcsec surface gravitational maps of the Slovak Republic up to the full gravitational tensor

Abstract

grav-sr-2arcsec is a suite of 2-arcsec surface gravitational maps of the Slovak Republic in terms of the gravitational potential (V), the full gravitational vector (Vx, Vy, Vz) in the local north-oriented reference frame (LNOF), and the full gravitational tensor in LNOF (Vxx, Vxy, …, Vzz). The suite was computed from a high-resolution gravity field model of Slovakia developed by Bucha et al. (2016). The maps rely on three sources of gravitational information: the Zero-Tide version of the global geopotential model EIGEN-6C4 (Forste, C. et al., 2014) up to degree 2190 (~5 arcmin resolution, ~9 km), the expansion of the residual gravitational signal up to degree 21600 in terms of spherical radial basis functions (Bucha et al. 2016) (~30 arcsec, ~950 m), and residual terrain modelling (Bucha et al. 2016) (2 arcsec, ~60 m). An independent validation of grav-sr-2arcsec revealed the standard deviation of 0.789 mGal in terms of the gravity. Bucha, B., Janak, J., Papco, J., Bezdek, A., 2016. High-resolution regional gravity field modelling in a mountainous area from terrestrial gravity data. Geophysical Journal International 207, 949-966, http://doi.org/10.1093/gji/ggw311

Keywords

Residual terrain modelling, Spherical radial basis functions, Gravitational field, Spherical harmonics

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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