Statistics – Computation
Scientific paper
Aug 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002georl..29p..36h&link_type=abstract
Geophysical Research Letters, Volume 29, Issue 16, pp. 36-1, CiteID 1789, DOI 10.1029/2002GL015180
Statistics
Computation
2
Geodesy And Gravity: Geopotential Theory And Determination, Geodesy And Gravity: Planetary Geodesy And Gravity (5420, 5714, 6019), Geodesy And Gravity: Satellite Orbits, Geodesy And Gravity: Space Geodetic Surveys, Geodesy And Gravity: Instruments And Techniques
Scientific paper
We demonstrate an efficient method to determine gravity field model using data from accelerometer- and GPS-equipped satellites, such as CHAMP. On the basis of the conservation of energy principle, in situ (on-orbit) and along track disturbing potential observables were computed using 16-days of CHAMP data. The global disturbing potential observables were then used to determine a 50 × 50 test gravity field solution (OSU02A) by employing a computationally efficient inversion technique based on conjugate gradient [Han et al., 2002]. An evaluation of the model using independent GPS/leveling heights and Arctic gravity data, and comparisons with existing gravity models, EGM96 and GRIM5C1, and new models, EIGEN1S and TEG4 which include CHAMP data, indicate that OSU02A is commensurate in geoid accuracy and, like other new models, it yields some improvement (10% better fit) in the polar region at wavelengths longer than 800 km.
Han Shin-Chan
Jekeli Christopher
Shum C. K.
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