The experimental gravity field model XGM2019e

DOI

XGM2019e is a combined global gravity field model represented through spheroidal harmonics up to d/o 5399, corresponding to a spatial resolution of 2’ (~4 km). As data sources it includes the satellite model GOCO06s in the longer wavelength area combined with terrestrial measurements for the shorter wavelengths. The terrestrial data itself consists over land and ocean of gravity anomalies provided by courtesy of NGA (identical to XGM2016, having a resolution of 15’) augmented with topographically derived gravity over land (EARTH2014). Over the oceans, gravity anomalies derived from satellite altimetry are used (DTU13, in consistency with the NGA dataset). The combination of the satellite data with the terrestrial observations is performed by using full normal equations up to d/o 719 (15’). Beyond d/o 719, a block-diagonal least-squares solution is calculated for the high-resolution terrestrial data (from topography and altimetry). All calculations are performed in the spheroidal harmonic domain. In the spectral band up to d/o 719 the new model shows over land a slightly improved behavior over preceding models such as XGM2016, EIGEN6c4 or EGM2008 when comparing it to independent GPS leveling data. Over land and in the spectral range above d/o 719 the accuracy of XGM2019e suffers from the sole use of topographic forward modelling; Hence, errors are increased in well-surveyed areas compared to models containing real gravity data, e.g. EIGEN6c4 or EGM2008. However, the performance of XGM2019e can be considered as globally more homogeneous and independent from existing high resolution global models. Over the oceans the model exhibits an improved performance throughout the complete spectrum (equal or better than preceding models).

Identifier
DOI https://doi.org/10.5880/ICGEM.2019.007
Related Identifier Cites https://doi.org/10.1007/1345_2015_182
Related Identifier Cites https://doi.org/10.5880/icgem.2015.1
Related Identifier Cites https://doi.org/10.1016/j.jag.2015.03.001
Related Identifier Cites https://doi.org/10.5880/ICGEM.2019.002
Related Identifier Cites https://doi.org/10.5880/icgem.2017.003
Related Identifier Cites https://doi.org/10.1029/2011JB008916
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:6728
Provenance
Creator Zingerle, Philipp; Pail, Roland ORCID logo; Gruber, Thomas ORCID logo; Oikonomidou, Xanthi
Publisher GFZ Data Services
Contributor Ince, Elmas Sinem; Reißland, Sven
Publication Year 2019
Rights CC BY 4.0; http://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Language English
Resource Type Dataset
Format application/octet-stream
Size 6 Files
Discipline Geodesy, Geoinformatics and Remote Sensing
Spatial Coverage (-180.000W, -90.000S, 180.000E, 90.000N)