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ANALYSIS OF SATELLITE BASED GLOBAL GRAVITY FIELD MODELS ON GNSS/LEVELLING AND REFERENCE GRAVITY STATIONS WORLDWIDE

Matej Varga, Ivana Vidic, Tomislav Basic

First published: 2017-06-20https://doi.org/10.5593/sgem2017/22/s09.013View metrics

Abstract

Satellite based global gravity field models represent EarthпїЅs long-wavelength static or time-variable gravity field. Their progress and development in the recent years has been induced by successful satellite missions, such as GOCE, GRACE and CHAMP and this will continue in the future missions. Resolution and agreement with quality terrestrial data are two attributes that indicate potential usability of each model. Maximum degree of spherical harmonics determines resolution of the satellite-based models. Agreement with terrestrial data is evaluated by comparing different gravity functionals calculated from model with available terrestrial reference data. Thus, spatial and spectral analysis of the quality of satellite based global geopotential models is valuable from several aspects for both creators and users of models. In this paper, gravity acceleration and geoid undulation computed from the most recent GOCE, GRACE and CHAMP global gravity field models are analysed and compared with control dataset that includes available GNSS/levelling and gravity data worldwide. GNSS/levelling and gravity data are collected, preprocessed and prepared for analysis. Results of comparison show agreement of the global gravity field models with control dataset and indicate spatial and spectral quality in the long-wavelengths of the global gravity field models.

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Title
ANALYSIS OF SATELLITE BASED GLOBAL GRAVITY FIELD MODELS ON GNSS/LEVELLING AND REFERENCE GRAVITY STATIONS WORLDWIDE
Authors
Matej Varga, Ivana Vidic, Tomislav Basic
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2017
Pages
99-106
SWS Citekey
Varga2017999106
ISSN
1314-2704
ISBN
978-619-7408-02-7
Language
en
Publication type
Conference Paper
Keywords
global geopotential modelGNSS/levellinggravimetryvalidation
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