Simulation of regional gravity field recovery from satellite gravity gradiometer data using collocation and FFT

1990 ◽  
Vol 64 (4) ◽  
pp. 363-382 ◽  
Author(s):  
D. Arabelos ◽  
C. C. Tscherning
Keyword(s):  
Gravity Field ◽  
Gravity Gradiometer ◽  
Satellite Gravity ◽  
Gravity Field Recovery ◽  
Regional Gravity

scholarly journals Unification of European height system realizations

2012 ◽  
Vol 2 (4) ◽  
pp. 343-354 ◽  
Author(s):  
A. Rülke ◽  
G. Liebsch ◽  
M. Sacher ◽  
U. Schäfer ◽  
U. Schirmer ◽  
...  
Keyword(s):  
Gravity Field ◽  
Ocean Circulation ◽  
Reference Frames ◽  
Satellite Gravity ◽  
Global Gravity ◽  
Height System ◽  
Regional Gravity ◽  
Gravity Recovery ◽  
Satellite Gravity Missions

AbstractA suitable representation of the regional gravity field is used to estimate relative offsets between national height system realizations in Europe. The method used is based on a gravimetric approach and benefits from the significant improvements in the determination of the global gravity field by the recent satellite gravity missions the Gravity Recovery and Climate Experiment (GRACE) and the Gravity field and steady-state Ocean Circulation Explorerr (GOCE). The potential of these missions for the unification of height reference frames is analyzed in terms of accuracy and spatial resolution. The results of the gravimetric approach are compared to the independent results of the geodetic leveling approach. Advantages and drawbacks of both methods are discussed.

Theoretical frame for the application of IOST in the downward continuation of GOCE SGG data

2021 ◽  
Author(s):  
Ilias N. Tziavos ◽  
Dimitrios A. Natsiopoulos ◽  
Georgios S. Vergos ◽  
Eleftherios A. Pitenis ◽  
Elisavet G. Mamagiannou
Keyword(s):  
Gravity Field ◽  
Heterogeneous Data ◽  
Theoretical Background ◽  
Geoid Determination ◽  
Downward Continuation ◽  
Geopotential Model ◽  
Correlated Errors ◽  
Satellite Gravity ◽  
The Earth ◽  
Regional Gravity

<p>Within the GeoGravGOCE project, funded by the Hellenic Foundation for Research Innovation, one of the main goals is the investigation of downward continuation schemes for the GOCE Satellite Gravity Gradiometry (SGG) data. It is well known that once the original SGG observations have been filtered to the GOCE Measurement Band Width (MBW), in order to remove noise and long-wavelength correlated errors, a crucial point for gravity field and geoid determination refers to the combination of GOCE data with local gravity field information. One possible way to exploit GOCE data is to use them in a Spherical Harmonic Synthesis (SHS) to derive a GOCE-only and/or a combined Global Geopotential Model. Our aim is to overcome the inherent smoothing of SHS and use directly the SGG data in order to investigate their contribution to regional gravity field and geoid determination. For that, methods based on the input-output-system-theory (IOST) are used for the combination of heterogeneous data at the Earth’s surface and at the satellite altitude or a mean sphere. The GOCE Level 2 gradients are first processed, transformed and reduced to a mean orbit using the IOST methods and then are downward continued to the Earth’s surface with an iterative Monte Carlo method (simulated annealing - SA). In this work we present the theoretical background of the proposed methodology and key-concepts for its implementation.</p>

scholarly journals GOCE SGG and SST quick-look gravity field analysis

2003 ◽  
Vol 1 ◽  
pp. 5-9 ◽  
Author(s):  
R. Pail ◽  
M. Wermut
Keyword(s):  
Time Series ◽  
Gravity Field ◽  
Point Of View ◽  
Field Analysis ◽  
Measurement Time ◽  
Practical Case ◽  
Theoretical Point ◽  
Satellite Gravity ◽  
Gravity Field Recovery ◽  
Data Gaps

Abstract. The purpose of quick-look analysis in the framework of the GOCE data processing architecture is to analyse partial data sets of satellite gravity gradiometry (SGG) and satellite-to-satellite tracking in high-low mode (hl-SST), in order to derive a diagnosis of the system performance. The semi-analytic (SA) method for gravity field recovery from GOCE observations, which is based on Fast Fourier Transform, is used. From a theoretical point of view, a number of requirements (circular, exact repeat orbit, uninterrupted measurement time series) have to be fulfilled. However, in the present paper it is demonstrated, that the SA approach can also be applied in the practical case of non-circular, nonrepeat orbits, and data gaps in the GOCE measurement time series. The performance of this approach is assessed in 5 case studies on the basis of a realistic closed-loop simulation.Key words. GOCE – semi-analytic approach – colored noise – data gaps – repeat orbit

scholarly journals Efficient GOCE satellite gravity field recovery based on least-squares using QR decomposition

2007 ◽  
Vol 82 (4-5) ◽  
pp. 207-221 ◽  
Author(s):  
Oliver Baur ◽  
Gerrit Austen ◽  
Jürgen Kusche
Keyword(s):  
Least Squares ◽  
Gravity Field ◽  
Qr Decomposition ◽  
Satellite Gravity ◽  
Gravity Field Recovery ◽  
Goce Satellite
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