Evaluation of recent global geopotential models by GNSS/levelling data: Internal Aegean region
Abstract
Global geopotential models of spherical harmonic coefficients are used to determine the external gravitational field of the Earth. These coefficients are derived from satellite orbit perturbations, terrestrial gravity anomalies and altimeter data. Hundreds of thousands of coefficients and standard deviation values for these coefficients are estimated from millions of observation. Measurement amount, homogenous distribution of the measurements of global scale, different measurement types reflecting the different frequencies of the gravity signal and measuring-assessment techniques affect the model accuracy directly. Starting from 1960’s and lasts to the present day and also gaining new acceleration with the satellite gravity field missions, every outcome of the studies related to the determination of the global Geopotential model is experienced by a series of validation tests. Accuracy of the model can either be determined from the estimated error degree variances concerning the coefficients (interior validation) or comparison of geoid heights, gravity anomalies, gravity disturbances and components of vertical deflection calculated from the model with terrestrial measurements directly (outer validation). In this paper, recent global geopotential models are primarily explained. Global geopotential models are compared with GNSS/levelling data of the study area. The objective of this comparison is to determine the best fit global geopotential model which will contribute to the study of Turkish geoid determination.
Keywords
References
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Details
Primary Language
English
Subjects
-
Journal Section
Short Communication
Authors
Mustafa Yilmaz
This is me
AFYON KOCATEPE UNIV
Türkiye
Bayram Turgut
This is me
AFYON KOCATEPE UNIV
Türkiye
Mevlüt Gullu
This is me
AFYON KOCATEPE UNIV
Türkiye
İbrahim Yilmaz
AFYON KOCATEPE UNIV
Türkiye
Publication Date
October 1, 2016
Submission Date
January 10, 2017
Acceptance Date
-
Published in Issue
Year 2016 Volume: 1 Number: 1
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