By Christoph Reigber, Hermann Lühr, Peter Schwintzer, Jens Wickert
In the summertime of 2000 the German geo-research satellite tv for pc CHAMP was once embarked on orbit. Its leading edge payload association and the low preliminary orbit let CHAMP to concurrently acquire and virtually always examine designated facts with regards to gravity and magnetic fields at low altitude. moreover, CHAMP additionally measures the impartial surroundings and ionosphere utilizing GPS thoughts. 3 years after release, greater than 2 hundred CHAMP investigators and co-investigators from worldwide met on the GeoForschungsZentrum in Potsdam to offer and talk about the implications derived from the wide information units of the undertaking. the most consequence of this professional assembly is summarized during this quantity. The ebook deals a finished perception into the current prestige of the exploitation of CHAMP data for Earth method examine and functional functions in geodesy, geophysics and meteorology.
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Extra info for Earth Observation with CHAMP: Results from Three Years in Orbit
302 for deformation potential. 16. The satellite is not sensitive to the vertical surface shift. 547. 471. Accordingly the gravity signal from the satellite should be smaller than the gravimeter signal by this factor rδ. This assumption is valid for the tidal-forcesinduced gravity variations. Therefore the SG gravity data have been reduced by the factor Rδ for the CHAMP comparison of tidal waves. 63 days) are well determined by ground measurements. They have the same source for SG and CHAMP temporal gravity field variations.
2003c). The coherency curves indicate that CHAMP models shown all do a significantly better job of resolving Arctic gravity than any pre-existing satellite-only model. Moreover CHAMP models confidently resolve full wavelengths as short as 1000 km and are improving. Of the CHAMP models, PGS7772 yields the highest coherencies by a slight margin over TUM1S, EIGEN2ee and OSU3A. Coherencies for the two GRACE models in Fig. , 2003a) are very similar and are each substantially higher than those of the CHAMP models.
Prohibiting any possible dependence on the a priori gravity ﬁeld, kinematic velocities have now been derived in a reference-ﬁeld-free manner. For this we implicitly assume that the measurements are free of systematic errors, so the one year of data exhibits random distribution of the noise (white noise). For this solution we are approximating the kinematic positions by a simple interpolation method, namely Newton-Gregory interpolation, and the derivatives are computed analytically. The interpolation is applied on the pure kinematic positions.