NATIONAL REPORT OF THE FEDERAL REPUBLIC OF ... - IAG Office
NATIONAL REPORT OF THE FEDERAL REPUBLIC OF ... - IAG Office
NATIONAL REPORT OF THE FEDERAL REPUBLIC OF ... - IAG Office
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70<br />
Introduction<br />
The four years since the last IUGG General Assembly in<br />
Sapporo have seen tremendous developments in spaceborne<br />
gravimetry. The sections on Gravity Field Satellite Missions<br />
and on Temporal Gravity Field Variations describe the<br />
exciting science that results from analysis of CHAMP and<br />
GRACE data. At the same time, these satellite missions,<br />
including GOCE, have accelerated the development of new<br />
methodological approaches. The sheer amount of data and<br />
unknowns to be inverted has stimulated the advancement<br />
of data handling strategies in several ways: both for functional<br />
and for stochastic modelling, both in brute-force<br />
numerical and in semi-analytical schemes, in validation<br />
techniques, a posteriori testing, and so on.<br />
Some of the trends and developments in Satellite Gravity<br />
Field Theory that were identified by SNEEUW and KUSCHE<br />
(2007):<br />
The observables from CHAMP, GRACE and GOCE are<br />
increasingly modelled as in situ observables in the theoretical<br />
framework of classical physical geodesy. Combined<br />
with semi-analytical approaches highly efficient algorithms<br />
have been developed.<br />
Multiresolution, space-localizing representations have<br />
found their way from the mathematical realm into the<br />
geodetic mainstream. Although spherical harmonic parameterization<br />
remains the default approach for the current<br />
missions, more and more researchers exploit the benefits<br />
of spatio-temporal localization by multiresolution<br />
modelling.<br />
Despite the great successes of GRACE in monitoring the<br />
time-variable gravity field, the Achilles’ heel of such<br />
mission scenarios becomes obvious: separation of the<br />
gravitational observable into its constituent mass sources.<br />
To disentangle these individual sources, fundamentally<br />
lumped into the gravitational observable, requires highquality<br />
a priori models for so-called de-aliasing purposes<br />
and a delicate characterization in space, time and spectral<br />
domains. The separability issue will only be aggravated in<br />
future missions of the same design with improved hardware,<br />
e.g., a GRACE-type mission with a laser interferometry<br />
link.<br />
An improved understanding of the gravitational sensors on<br />
GRACE and GOCE has motivated and necessitated more<br />
advanced stochastic modelling.<br />
Theoretical and computational aspects in the downward<br />
continuation and regularization of spaceborne gravimetric<br />
Satellite Gravity Theory<br />
N. SNEEUW 1<br />
data, decorrelation and outlier detection in coloured-noise<br />
observations, full-covariance modelling, and the general<br />
design of ‘smart’ algorithms to tackle these issues more<br />
efficient than in the past, will continue to play a major role.<br />
Geoscientific interpretation and application of CHAMP,<br />
GRACE and in the near future GOCE gravity field models<br />
requires a deeper understanding of the underlying noise<br />
characteristics and error propagation mechanisms inherent<br />
to these products. The combination with a priori models<br />
and data from complementary observing systems like<br />
satellite altimetry, GPS and INSAR requires a careful<br />
analysis of the information content and the resolving power<br />
of the various data sets.<br />
Advances in gravity analysis techniques: in situ<br />
modelling<br />
In the pre-CHAMP era, conventional gravity field<br />
modelling from satellite observations was rooted in<br />
dynamic satellite geodesy and orbit perturbation theory. It<br />
involved large-scale computations, extensive software<br />
packages and, at an institutional level, a certain critical mass<br />
of people and resources. As a result, only a few global<br />
players were involved in global gravity field modelling<br />
from satellites. The observables from CHAMP, GRACE<br />
and GOCE, in contrast, can be modelled as in situ<br />
observables in the theoretical framework of classical<br />
physical geodesy. This enabled smaller, mostly universitybased,<br />
groups to get involved in global (but also regional)<br />
gravity field modelling from satellite-borne gravimetry, and<br />
to produce competitive gravity models.<br />
A point in case is the energy balance approach or Jacobi<br />
integral approach, e.g. GERLACH et al. (2003a, 2003b) or<br />
VISSER et al. (2003) which came to fruition at the IAPG at<br />
TU Munich. In this approach the GPS-derived orbit positions<br />
and velocities are converted to in situ disturbing<br />
potential along the orbit. By careful reduction of accelerometer<br />
outputs and of auxiliary forces this method provided<br />
high-quality CHAMP-only gravity fields, cf. GERLACH et<br />
al. (2003c). Despite its quality the CHAMP-only gravity<br />
field quality proved insufficient to reveal long wavelength<br />
time variations that remained hidden in the observation<br />
noise and ground-track variability, cf. SNEEUW et al. (2003).<br />
Similarly, the ITG at University of Bonn developed the<br />
Hammerstein-Schneider approach further to a level of<br />
sophistication that allows CHAMP and GRACE data<br />
processing with a competitive quality. This approach is<br />
characterized by short arcs (ILK et al., 2005), combined with<br />
1 Nico Sneeuw: Geodätisches Institut, Universität Stuttgart, Geschwister-Scholl-Str. 24D, D - 70174 Stuttgart, Germany, Tel.<br />
+49 - 711 - 685-83390 , Fax +49 - 711 - 685-83285, e-mail sneeuw@gis.uni-stuttgart.de