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Titel |
Towards combined global monthly gravity field solutions |
VerfasserIn |
Adrian Jaeggi, Ulrich Meyer, Gerhard Beutler, Matthias Weigelt, Tonie van Dam, Torsten Mayer-Gürr, Jakob Flury, Frank Flechtner, Christoph Dahle, Jean-Michel Lemoine, Sean Bruinsma |
Konferenz |
EGU General Assembly 2014
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Medientyp |
Artikel
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Sprache |
Englisch
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Digitales Dokument |
PDF |
Erschienen |
In: GRA - Volume 16 (2014) |
Datensatznummer |
250090635
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Publikation (Nr.) |
EGU/EGU2014-4891.pdf |
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Zusammenfassung |
Currently, official GRACE Science Data System (SDS) monthly gravity field solutions are
generated independently by the Centre for Space Research (CSR) and the German Research
Centre for Geosciences (GFZ). Additional GRACE SDS monthly fields are provided
by the Jet Propulsion Laboratory (JPL) for validation and outside the SDS by a
number of other institutions worldwide. Although the adopted background models
and processing standards have been harmonized more and more by the various
processing centers during the past years, notable differences still exist and the users are
more or less left alone with a decision which model to choose for their individual
applications. This procedure seriously limits the accessibility of these valuable
data.
Combinations are well established in the area of other space geodetic techniques, such as the
Global Navigation Satellite Systems (GNSS), Satellite Laser Ranging (SLR), and Very Long
Baseline Interferometry (VLBI). Regularly comparing and combining space-geodetic
products has tremendously increased the usefulness of the products in a wide range of
disciplines and scientific applications. Therefore, we propose in a first step to mutually
compare the large variety of available monthly GRACE gravity field solutions, e.g., by
assessing the signal content over selected regions, by estimating the noise over the oceans,
and by performing significance tests. We make the attempt to assign different solution
characteristics to different processing strategies in order to identify subsets of solutions,
which are based on similar processing strategies. Using these subsets we will in a second step
explore ways to generate combined solutions, e.g., based on a weighted average of the
individual solutions using empirical weights derived from pair-wise comparisons. We
will also assess the quality of such a combined solution and discuss the potential
benefits for the GRACE and GRACE-FO user community, but also address minimum
processing requirements to be met by each analysis centre to enable a meaningful
combination (either performed on the solution level or, preferably, on the normal equation
level). |
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